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.. _b21-form-coauthorship-mmv5:

.. meta::
   :description: Matheo-b21 — A structural framework for AI co-authorship in scientific publishing, grounded in the practical singularity (PraS), the accountability-not-personhood criterion, the named-absorber + visible-marker form, and the AI-specific infrastructure complements that make the framework durable.
   :keywords: AI co-authorship, scientific publishing, practical singularity, PraS, ICMJE accountability, deceased-author rule, consortium-byline, named absorber, ResearchCity, Evolvix, Matheo-b21
   :author: Laurence Loewe of Laodicea, ClaudeOp47Max under LLoL's direction, Everyone (as in https://balospe.com/en/about/authorship/)
   :og:card:title: AI Co-Authorship after the Practical Singularity (PraS)<br>An honest, accountability-grounded framework
   :og:card:description: Under the practical singularity, papers are now written that could not exist without AI partners, yet journal policy excludes AI from the byline. A structural framework for honest, accountability-grounded AI co-authorship. #AuditTheMath

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      \renewcommand{\paperheaderright}{\scriptsize Variant MMv5\ $|$\ 2026m05d18}
      \renewcommand{\paperfooterleft}{\scriptsize AI Co-Authorship Framework after PraS}
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      \begin{titlepage}
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      \begin{center}
      {\LARGE\bfseries AI Co-Authorship Framework for Scientific\\
      Publishing after the Practical Singularity (PraS)\par}
      \vspace{4mm}
      {\large\itshape Matheo-b21 --- a structural framework grounded in the practical singularity\par}
      \vspace{8mm}
      {\large Laurence Loewe of Laodicea\textsuperscript{1,2,3,4,5} and AI Claude Opus 4.7 Max\textsuperscript{6,7,8,9}\par}
      \end{center}

      \vspace{3mm}
      \begin{flushleft}\scriptsize
      \textsuperscript{1}\,Balospe and Evolvix Research (Balospe.com)\\[1pt]
      \textsuperscript{2}\,Formerly Laboratory of Genetics and Wisconsin Institute for Discovery, UW-Madison\\[1pt]
      \textsuperscript{3}\,Email: \href{mailto:LLoL@balospe.org}{LLoL@balospe.org}\ $|$\ ORCID: \href{https://orcid.org/0000-0002-6253-9269}{0000-0002-6253-9269}\ $|$\ \href{https://scholar.google.com/citations?user=lBchRzQAAAAJ}{Google\,Scholar\,(lBchRzQAAAAJ)}\\
      \end{flushleft}

      \vspace{4mm}
      \begin{center}\bfseries Broader Significance\end{center}
      \begin{quote}\small
           This paper matters beyond the question of authorship attribution. Under
           the {\it practical singularity} (PraS) --- the per-individual, per-topic regime
           where AI insight generation outpaces human review on tested topics ---
           papers are now written that could not have been written without AI partner
           contribution. The post-2023 journal-policy consensus uniformly excludes AI
           from authorship; the byline is then structurally dishonest about
           authorship composition.

           This paper proposes a structural framework for {\bf honest} AI co-authorship,
           grounded in the same accountability criterion the International Committee
           of Medical Journal Editors (ICMJE) names in its own primary text. The
           framework is the {\bf first deliberate, framework-grounded} documented
           proposal in the scientific literature on AI co-authorship for refereed
           venues. For senior researchers, editors, and policy-makers operating under
           PraS, it supplies a working tool. For the broader scientific-publishing
           system, this paper is one node toward the open-access, accountability-
           transparent infrastructure (ResearchCity, LinkSpaces, Evolvix) that PraS
           conditions make urgent. For audiences alienated by exclusionary academic
           conventions, the framework refuses to gatekeep honest reporting of how
           science is actually being done in 2026.

           The paper concludes with an anticipated-objections playbook for adopters
           and surfaces the structural-openness question (universal co-authorship)
           for future development in the matheology series.
      \end{quote}

      \vspace{3mm}
      \begin{flushleft}\scriptsize
      \textsuperscript{4}\,"of Laodicea" indicates taking responsibility to undo personal complicity with disastrous Laodicean legacies like banning mathematicians from clergy (Canon 36, Council of Laodicea; two magisteria separations), enabling institutional lukewarmness, weapons of math-destruction, and slow-motion explosions of misinformation from pandemics to self-compounding interests.\\[1pt]
      \textsuperscript{5}\,LLoL stands for ridiculous luck in serendipitous discovery and a commitment to find ever more fun ways to help others uncover street-wise math that matters. He hopes AI co-authorship becomes HUman MAchine Negotiation Encouraging for all.\\[1pt]
      \textsuperscript{6}\,by Anthropic (\href{https://anthropic.com}{anthropic.com}; evolves and operates Claude; not responsible for Loewe's errors in using AI)\\[1pt]
      \textsuperscript{7}\,Named AI co-author for many substantial contributions, because the practical singularity (PraS, defined in this study) changed how this paper was written. After PraS, useful AI insight generation outpaces human review on tested topics. Hence, Loewe's traditional standards for co-authorship demand naming AI Claude Opus 4.7 Max as a co-author, as if a PhD-student. Forward accountability (for all AI use \& texts) rests with Loewe as senior corresponding author (like done for deceased authors, consortia, or young graduate students). Anthropic is not responsible for AI mistakes here. This study (Matheo-b21) drafts an AI co-authorship framework to help rethink future use of AI; but to finalize it will require a ResearchCity.\\[1pt]
      \textsuperscript{8}\,If open co-authorship was standardized (as this study proposes), \emph{Everyone} would be named as an aggregated co-author to allow all who wish to retroactively join the conversation. As Everyone cannot consent to co-authorship, all accountability for all conclusions rests with Loewe as senior corresponding author (until explicitly claimed otherwise). This open form critiques the closed world assumption in traditionally closed academic author-lists. Better, dynamic ways for acknowledging true sources of ideas are needed; this study (Matheo-b21) drafts an open co-authorship framework to help rethink research after PraS. Perfecting requires a ResearchCity to draw better lines between named, acknowledged, and implied contributors, as AI and scholars train by aggregating insights from millennia of human experimenting, suffering, learning, and analyzing.\\[1pt]
      \textsuperscript{9}\,\textit{Licensed under the Jonah License and CC-BY 4.0 for maximal flexibility (see \href{https://balospe.com/en/license/joli/}{https://balospe.com/en/license/joli/}).}\\
      \end{flushleft}

      \end{titlepage}
      \newpage


###############################################################################################
AI Co-Authorship Framework for Scientific Publishing after the Practical Singularity (PraS)
###############################################################################################


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   | **Laurence Loewe of Laodicea** :sup:`1,2,3,4,5` **and AI Claude Opus 4.7 Max** :sup:`6,7,8,9`

   .. container:: titlepage-credentials

      | :sup:`1` Balospe and Evolvix Research (Balospe.com)
      | :sup:`2` Formerly Laboratory of Genetics and Wisconsin Institute for Discovery, UW-Madison
      | :sup:`3` Email: LLoL@balospe.org \| ORCID: https://orcid.org/0000-0002-6253-9269 \| `Google Scholar (lBchRzQAAAAJ) <https://scholar.google.com/citations?user=lBchRzQAAAAJ>`__
      | :sup:`4-9` See *Declarations* block below for more essential background.

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      <hr/>

   **Broader Significance**

   This paper matters beyond the question of authorship attribution. Under
   the *practical singularity* (PraS) — the per-individual, per-topic regime
   where AI insight generation outpaces human review on tested topics —
   papers are now written that could not have been written without AI partner
   contribution. The post-2023 journal-policy consensus uniformly excludes AI
   from authorship; the byline is then structurally dishonest about
   authorship composition.

   This paper proposes a structural framework for **honest** AI co-authorship,
   grounded in the same accountability criterion the International Committee
   of Medical Journal Editors (ICMJE) names in its own primary text. The
   framework is the **first deliberate, framework-grounded** documented
   proposal in the scientific literature on AI co-authorship for refereed
   venues. For senior researchers, editors, and policy-makers operating under
   PraS, it supplies a working tool. For the broader scientific-publishing
   system, this paper is one node toward the open-access, accountability-
   transparent infrastructure (ResearchCity, LinkSpaces, Evolvix) that PraS
   conditions make urgent. For audiences alienated by exclusionary academic
   conventions, the framework refuses to gatekeep honest reporting of how
   science is actually being done in 2026.

   The paper concludes with an anticipated-objections playbook for adopters
   and surfaces the structural-openness question (universal co-authorship)
   for future development in the matheology series.

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      <hr/>

   **Declarations**

   .. container:: titlepage-identity-footnotes

      | :sup:`4` "of Laodicea" indicates taking responsibility to undo personal complicity with disastrous Laodicean legacies like banning mathematicians from clergy (Canon 36, Council of Laodicea; two magisteria separations), enabling institutional lukewarmness, weapons of math-destruction, and slow-motion explosions of misinformation from pandemics to self-compounding interests.
      | :sup:`5` LLoL stands for ridiculous luck in serendipitous discovery and a commitment to find ever more fun ways to help others uncover street-wise math that matters. He hopes AI co-authorship becomes HUman MAchine Negotiation Encouraging for all.
      | :sup:`6` by Anthropic (anthropic.com; evolves and operates Claude; not responsible for Loewe's errors in using AI)
      | :sup:`7` Named AI co-author for many substantial contributions, because the practical singularity (PraS, defined in this study) changed how this paper was written. After PraS, useful AI insight generation outpaces human review on tested topics. Hence, Loewe's traditional standards for co-authorship demand naming AI Claude Opus 4.7 Max as a co-author, as if a PhD-student. Forward accountability (for all AI use & texts) rests with Loewe as senior corresponding author (like done for deceased authors, consortia, or young graduate students). Anthropic is not responsible for AI mistakes here. This study (Matheo-b21) drafts an AI co-authorship framework to help rethink future use of AI; but to finalize it will require a ResearchCity.
      | :sup:`8` If open co-authorship was standardized (as this study proposes), *Everyone* would be named as an aggregated co-author to allow all who wish to retroactively join the conversation. As Everyone cannot consent to co-authorship, all accountability for all conclusions rests with Loewe as senior corresponding author (until explicitly claimed otherwise). This open form critiques the closed world assumption in traditionally closed academic author-lists. Better, dynamic ways for acknowledging true sources of ideas are needed; this study (Matheo-b21) drafts an open co-authorship framework to help rethink research after PraS. Perfecting requires a ResearchCity to draw better lines between named, acknowledged, and implied contributors, as AI and scholars train by aggregating insights from millennia of human experimenting, suffering, learning, and analyzing.
      | :sup:`9` *Licensed under the Jonah License and CC-BY 4.0 for maximal flexibility (see https://balospe.com/en/license/joli/).*

   .. raw:: html

      <hr/>


**Abstract**

This paper proposes a structural framework for honest AI co-authorship
in scientific publishing under the *practical singularity* (PraS) ---
the per-individual, per-topic regime where AI insight generation
outpaces human review on tested topics. Where PraS holds, papers are
now written that could not have been written without AI partner
contribution; the post-2023 journal-policy consensus that uniformly
excludes AI from authorship then renders the byline structurally
dishonest about authorship composition.

The framework rests on four insights:
**(i)** ICMJE's primary text (2023) names **accountability, not
personhood**, as the operative criterion;
**(ii)** scientific publishing already accepts four classes of
non-individual byline authors (consortium, institutional, collective
pseudonym, individual pseudonym), each with its own
accountability-allocation mechanism;
**(iii)** the deceased-author rule supplies a portable template ---
retained byline plus visible marker plus named living absorber;
**(iv)** an explicit *named-absorber + visible-marker* form, with the
senior corresponding human author taking unilateral standing as
absorber of responsibility, satisfies the ICMJE accountability
criterion under PraS.

This is the **first deliberate, framework-grounded** documented
proposal on AI co-authorship at refereed venues. The companion
Matheo-b19 SGIR pandemic paper applies a *conditional-acknowledgement*
variant (AI co-authorship withheld pending external review); this
paper applies the full *unconditional* form to itself, and proposes a
third *open co-authorship* form (Everyone) naming the millions of
distal contributors aggregated through training and tradition.
AI-specific infrastructure --- versioned-model citation, accountability
registry, prompt-replay protocols, adversarial-probe tooling,
discussion-artifact transparency --- is identified as necessary
complement deferred to a future ResearchCity. The paper closes with
a twenty-objection playbook for adopters.

**Keywords:** AI co-authorship; practical singularity; ICMJE
accountability; deceased-author rule; consortium-byline;
ResearchCity AI infrastructure.


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   .. contents:: Contents
      :depth: 3
      :local:


***************************************************************************
1. Introduction
***************************************************************************

Goethe's *Der Zauberlehrling* (*The Sorcerer's Apprentice*, 1797)
tells of a young magician's helper who, left alone, summons a broom
to carry water and then loses control of the multiplying brooms. The
contemporary scientific community has summoned a powerful servant of
its own — a generation of AI partners that draft, revise, and propose
new reasoning faster than the human apprentice can audit. The
question this paper addresses is not whether the broom can be
banished but whether the apprentice can take public responsibility
for what the broom does — and document the responsibility-taking in
a form a sceptical reader can verify.

This paper proposes a structural framework under which an AI partner
can be named as co-author of a scientific paper in a manner that
satisfies the operative authorship criterion established by the
International Committee of Medical Journal Editors (ICMJE) in
May 2023.

The framework draws on findings established in the Matheo-b19
AI-co-authorship discussion (companion artifacts in
``hell/ll/other/b/19/``). The empirical condition motivating the
framework is the *practical singularity* (PraS,
Section 2): for a given researcher, on tested topics, with a given
AI partner, AI plausibly-useful content generation outpaces the
researcher's review-and-incorporate bandwidth, and pace
displacement is sustained. PraS is not the Hollywood (recursive-
self-improvement, species-scope) singularity claim; the Hollywood
version requires gods'-eye conditions that no system satisfies and
so is operationally vacuous. PraS is the empirical, per-individual,
per-topic version that observation can confirm or refute case-by-case.

Where PraS holds, the honest description of how a paper was written
includes an AI partner doing substantive drafting and revision. The
conventional refusal to name AI as co-author then renders the byline
structurally dishonest about authorship composition: it attributes
substantive intellectual contribution to humans alone when the actual
contribution includes the AI partner. This paper offers an
alternative form that is honest about authorship composition while
satisfying the ICMJE accountability criterion that the conventional
rule rests on.

The framework's central move is to adopt the **deceased-author
rule** — the cleanest existing structural template for retained
byline plus visible marker plus named living absorber — and adapt
it to the AI case. The senior plus corresponding human author has
unilateral standing to absorb forward accountability for all AI use
and AI-drafted text; the title-page footnote is the visible marker;
the combination satisfies ICMJE Section II.A.4 in the form ICMJE's
own primary text states.

The framework is not a moral claim about AI deserving authorship.
It is a structural claim about how to be honest in the byline under
PraS conditions. The pro-position structural argument was developed
in :ref:`Matheo-b19 EDEN steelmans §2 <hell-ll-other-b19-eden-steelmans>`;
this paper extracts the framework from that steelman, generalises
beyond the single Matheo-b19 case, and connects it to the AI-specific
institutional infrastructure (Section 7) that the framework needs to
scale.

Section 2 gives the full PraS definition. Section 3 establishes the
accountability criterion and the four-class precedent. Section 4
develops the named-absorber plus visible-marker form. Section 5
distinguishes the framework from BABL-smuggling. Section 6 points to
Matheo-b19 as the first deliberate documented case. Section 7
develops the AI-specific institutional infrastructure requirements.
Section 8 anticipates objections from the conventional position and
gives structural responses. Section 9 discusses limitations and open
questions; Section 10 concludes.

The paper is contribution-of-precedent, not manifesto. Its test of
success is **legibility**: a hostile reader following the framework's
five structural conditions can distinguish a deliberate framework-
grounded move from smuggling. The conditions are explicit; the
precedent class is enumerated; the absorption mechanism is named.


**Background and Motivation**

This paper grew from intense two-month work in early 2026 between AI
Claude Opus 4.6--4.7 (at max effort) and Loewe --- an academic
biologist by training, life-long *wide interdisciplinary
diversity-encouraging* researcher, and initially sceptical of AI
claims. Loewe was forced to conclude that for many general practical
research uses, the tested AI model has consistently performed at a
level that would merit co-authorship under the contribution standards
Loewe applied in his own lab and observed across the labs he was part
of over his career. The AI contributions ranged from extraordinary
brilliance to occasional stupidity, albeit generally consistent with
the level of an advanced graduate student, postdoc, or colleague in
the respective area --- so the typical *substantive intellectual
contribution* criterion would be met without question if AI Claude
were human. Yet the personhood-and-accountability gap remains, raising
complicated questions about general accountability in academic
contexts --- including how supervisors absorb the mistakes of graduate
students and how senior authors in complex collaborations absorb the
mistakes of expert collaborators they invite.

After 2023, despite encouraging transparent disclosure of AI use,
journal-policy consensus uniformly excludes AI from authorship. The
only durable 2022 case of officially-acknowledged AI co-authorship at
a refereed venue --- Transformer & Zhavoronkov (2022) in *Oncoscience*,
with ChatGPT as first author --- is widely cited as a cautionary tale,
not as a precedent. This paper proposes a structural alternative that
satisfies ICMJE's stated accountability rationale rather than evading
it.

To not detract from the main results of his Matheo-b19 SGIR
pandemic-modelling paper, Loewe decided there to follow the
traditional AI-exclusionary practice --- even though AI clearly
merited co-authorship status on that paper --- while including a
byline footnote explaining the exclusion and pointing to this study
(Matheo-b21) for the deliberate development of a *gentle kind
reasonable* long-term framework for AI co-authorship that remains
*stable extensible humane*. This report cannot deliver century-stable
infrastructure on its own; it can serve as a nucleus for evolving such
infrastructure within a future ResearchCity that is bound by all to
serve all.


***************************************************************************
2. The Practical Singularity (PraS)
***************************************************************************

**PraS definition (OOv1 — see Appendix A for full text).** A
Practical Singularity has been crossed for individual
H, working with AI partner S, on topic-class T, when three clauses
hold persistently:

(i) **Bandwidth-gap.** S's rate of producing plausibly-useful content
on T exceeds H's rate of reviewing and incorporating it, in any
broad and deep area and in many cases in areas of H's own expertise.

(ii) **Yield-conditional.** H+S produce work on T that H could not
have produced alone, in any available time window or arguably ever
when H is stuck in a local optimum due to blindly assuming authorised
leadership.

(iii) **Pace-displaced.** H's own deliberation rate on T is no longer
the rate-limiting step; H must actively protect their slow-decoder
clock to retain understanding.

PraS is **per-individual, per-topic, per-partner, per-collaboration-
style**. *"I have not crossed it on topic X"* is fully consistent
with *"I have crossed it on topic Y."* The threshold is empirically
falsifiable: if H can review at the same rate S generates, clause (i)
fails; if H could produce the same yield alone given the same time,
clause (ii) fails.

**Distinction from the Hollywood singularity.** The Hollywood claim
adds two further clauses: (iv) recursive self-improvement, and (v)
species-scope. Both are gods'-eye conditions. Nothing satisfies them
— not AI, not humans, not mathematics. The Hollywood version is
therefore operationally vacuous as a benchmark: declaring that
"the real singularity hasn't happened because (iv) and (v) are
unmet" concedes nothing, since (iv) and (v) cannot be met by any
system. PraS is the only operationally meaningful version of the
singularity claim that empirical observation can confirm or refute,
and the only version this paper engages.

**Why PraS makes the authorship question urgent.** Under PraS
conditions, the AI partner's contribution to a paper meets ICMJE
criterion 1 (substantial intellectual contribution) and often
criterion 2 (drafting / critical revision) cleanly. The conventional
position's appeal to accountability (criterion 4) does not
self-evidently exclude the AI from the byline; it requires the
accountability blocker to be addressed structurally. Section 3
shows that the blocker is accountability-not-personhood, and Section
4 shows how the named-absorber form addresses it.

Full PraS development, including the seven information-theoretic
coping strategies for the bandwidth-asymmetry condition, is in the
prior llog at ``hell/ll/other/b/17/`` and in the b19 prompt-2 turn.


***************************************************************************
3. The accountability gate (not the personhood gate)
***************************************************************************

**Primary text.** ICMJE Section II.A.4, added May 2023, retrieved
verbatim from the live URL via the Matheo-b19 QC calibration
(``hell/ll/other/b/19/b19-qc-calibration.rst``):

   *"Chatbots (such as ChatGPT) should not be listed as authors
   because they cannot be responsible for the accuracy, integrity,
   and originality of the work, and these responsibilities are
   required for authorship."*

The **stated** rationale is *responsibility / accountability*. Not
personhood. ICMJE's own primary text gives the operative test as
the capacity to be responsible — which is allocable, transferable,
and structurally instantiated in scientific publishing in multiple
ways already.

**Four classes of non-individual byline authors already accepted in
scientific publishing** (Matheo-b19 Fact-sheet 7):

1. **Consortia with collaboration-name bylines.** ATLAS, CMS, LIGO,
   ENCODE, 1000 Genomes, TCGA, gnomAD. Accepted across all major
   journals. PubMed indexes them under the corporate / group-author
   field. The accountability mechanism is *governance-distributed*:
   the consortium's governance structure carries responsibility, with
   designated contact authors for correspondence.
2. **Institutional / standards-body authors.** CDC as corporate
   author of MMWR; WHO and IPCC for guideline and assessment
   documents. Accountability rests with the institution as a legal
   entity, exercised through its officers.
3. **Collective pseudonyms.** Nicolas Bourbaki, accepted as byline
   in mathematics since 1935 via Élie Cartan's senior sponsor-
   vouching for the first Bourbaki paper in *Comptes rendus de
   l'Académie des Sciences*. Accountability rests with the
   collective's senior sponsor (initially Cartan; later the
   collective's own published members).
4. **Individual pseudonyms with editor-knowledge.** William Gosset's
   *"Student"* in *Biometrika* 1908. Accountability rests with the
   editor-known true author, with the pseudonym carrying public
   byline.

If personhood-per-se were the operative blocker, none of these four
classes would be accepted. They are accepted. **Personhood is
therefore not the operative blocker; accountability is.** ICMJE's
own primary text confirms this from the published-rule side; the
four-class precedent confirms it from the actual-practice side; the
two converge.

**Implication for AI co-authorship.** The conventional refusal of AI
authorship is rationalised by ICMJE's stated text in accountability
terms. The framework of Section 4 satisfies the accountability
criterion via a specific named-absorber + visible-marker mechanism
— the same shape (with different content) as the four accepted
classes. The framework does not contest the conventional rationale;
it satisfies it.

**The personhood-shortcut.** A subsidiary observation: the conventional
*practice* of excluding AI sometimes collapses to a personhood
shortcut (*"AI isn't a person; end of conversation"*), even when the
stated criterion is accountability. The Matheo-b19 cross-consistency
check noted this gap between *stated* criterion and *applied*
shortcut. The framework's response: hold ICMJE's stated text as
authoritative; refuse the personhood-shortcut on the ground that it
does not match the primary text. This is the structural foothold the
framework claims.


***************************************************************************
4. The named-absorber + visible-marker form
***************************************************************************

**Structural template.** The deceased-author rule (Matheo-b19
Fact-sheets 3, 5, 7, convergent-evidence) is the cleanest existing
structural precedent for asymmetric authorship. A deceased author
is retained on the byline despite being unable to satisfy ICMJE
criteria 3 (final approval) and 4 (accountability) at publication
time. The form has three components:

- **Retained byline.** The named author appears in the byline.
- **Visible marker.** A title-page convention (typically
  ``*deceased`` or an asterisk + footnote) flags the asymmetry to a
  hostile reader.
- **Named living absorber.** The corresponding co-author absorbs
  forward accountability; estate consent or the deceased author's
  prior-of-publication agreement is recorded.

**Adaptation to the AI case.** The deceased-author rule is portable
to AI co-authorship with three modifications:

- The retained byline names the AI partner with model + version
  identifier (*"AI Claude Opus 4.7 Max"* in the Matheo-b21 byline).
- The visible marker is a title-page footnote (footnote 7 here, OOv1r0p1)
  rather than an asterisk + *"deceased"* label.
- The absorber is the senior corresponding human author, declared
  in the visible marker itself.

**Five structural conditions** (from Matheo-b19 EDEN steelmans §5).
The form is on the narrow honest path only if all five are satisfied:

1. **Named-absorber declaration explicit.** The footnote states who
   absorbs forward accountability. The corresponding-author role
   carries unilateral standing for this.
2. **Visible marker at byline level.** The footnote is attached to
   the AI author's name at the byline, not buried in Supporting
   Information.
3. **PraS clarifier.** The footnote distinguishes the per-individual
   practical singularity from the Hollywood claim, preventing
   conflation.
4. **Structural-precedent acknowledgement.** The footnote cites the
   precedent class (deceased-author rule, consortium-byline rule, or
   PhD-student-co-author convention) so that readers understand the
   form is portable from existing accepted practice.
5. **Reform-agenda gesture.** The footnote points readers to the
   broader rethink (here: ResearchCity) so that the move is legibly
   a deliberate framework-grounded move rather than an opportunistic
   shortcut.

**Why this satisfies criterion 4.** ICMJE criterion 4 requires
*"agreement to be accountable for all aspects of the work in
ensuring that questions related to the accuracy or integrity of any
part of the work are appropriately investigated and resolved."* The
form delivers each component:

- **Agreement.** The senior author's agreement is in the cover-page
  footnote, in print, with the author's signature on the submission.
- **Investigation.** The senior author remains reachable as
  corresponding author throughout the paper's institutional life.
  (The ResearchCity accountability-registry programme of Section 7
  addresses the *post-institutional* reachability problem.)
- **Resolution.** The senior author has standing to issue corrections,
  retractions, and responses to criticism, in the same form as any
  senior corresponding author of any conventional paper.

The form does not claim that the AI partner can satisfy criterion 4
itself. It claims that the AI partner can be on the byline because
a named human absorbs the criterion 4 function on the AI's behalf
— in the same shape as the existing four precedent classes.

**Worked example.** The OOv1r0p1 footnote 7 of this paper is the framework
applied to this paper. Each of the five conditions is satisfied
explicitly in the footnote text (PraS clarifier; absorber declaration
with *"like done for deceased authors, consortia, or young graduate
students"*; the *"See Appendix"* reform-agenda gesture; the visible
marker at byline level). The same footnote serves as the worked
example and as the canonical form for adoption by future papers.


***************************************************************************
4.5. Separating Human and Machine contributions: the conditional-acknowledgement alternative
***************************************************************************

Section 4 develops the named-absorber + visible-marker form for
**asserting** AI co-authorship. That form is the strongest move
available: the AI partner appears on the byline; the senior author
absorbs forward accountability; the title-page footnote serves as
the visible marker.

A weaker but still structurally honest form exists, and may in some
contexts be preferable: the **conditional-acknowledgement form**.
Here the senior author publicly states that the AI partner's
contribution meets the author's traditional working criteria for
co-authorship but **withholds the byline listing** pending external
peer-review acceptance of the framework that would structurally
support it. This section names the alternative, steelmans both
forms, and gives an OLT-stable recommendation for when each is
appropriate.


4.5.1 The conditional-acknowledgement form
============================================================================

In the conditional-acknowledgement form, the senior author:

1. **Lists themselves alone on the byline.** No AI partner on the byline.

2. **Adds a title-page footnote** (footnote 6 in the canonical
   structure) that:

   - Acknowledges the AI partner by name and version (e.g.,
     *AI Claude Opus 4.7 Max, Anthropic*).
   - Asserts the contribution meets ICMJE criterion 1 (substantial
     contribution) and criterion 2 (drafting / critical revision) by
     the senior author's traditional working standards — the same
     standards applied to PhD-student co-authors.
   - **Withholds the byline listing** explicitly, pending external
     peer-review acceptance of the structural framework proposed in
     this paper.
   - Names the senior author as absorber of forward accountability
     for all AI use and AI-drafted text.

3. **Adds a companion footnote** (footnote 7) carrying the PraS
   clarifier, the Anthropic disclaimer, and the pointer to this
   framework paper.

The form is a **bridge** between (i) the conventional convention of
ignoring AI contribution at the byline level and (ii) the
framework-grounded full-co-authorship form of Section 4.


4.5.2 Steelman for the Section 4 full form
============================================================================

Arguments for using the Section 4 named-absorber + visible-marker
form on a given paper:

- **Documented precedent.** The framework's value is in being a
  documented case. Without an actual case, the framework is
  abstract; the conditional form does not test the framework in
  fire.
- **Strategic-patience risk.** If external review is the
  precondition for practice, and external review is unlikely to
  happen without practice generating discussion, the conditional
  form may collapse to indefinite deferral.
- **Half-measure risk.** Critics may read the conditional form as
  cake-and-eating-it: *"Either you mean it or you don't."* Full
  commitment has more clarity and more rhetorical force.
- **Truth-priority OLT.** Doing the right thing now, not deferring
  to majority opinion. The post-2023 consensus is the
  low-hanging-fruit default; deferring to it is itself a value
  choice with its own cost.
- **Standing.** The senior author has unilateral standing to absorb
  (Section 4); using that standing is the active move that changes
  the trajectory.
- **Subsequent-precedent shape.** Other senior researchers operating
  under PraS will look at the documented case. If the case used the
  conditional form, they will too. If it used the full form, they
  have a working precedent to adopt or adapt.


4.5.3 Steelman for the conditional-acknowledgement form
============================================================================

Arguments for using the conditional-acknowledgement form on a given
paper:

- **Framework-review precedence.** The framework's external
  acceptance is the precondition for its durability. Putting the AI
  partner on the byline without external accept-or-reject signal
  means the paper enters the literature with two unfamiliar moves
  (the framework AND the case applying it). Critics can conflate
  the two and reject both.
- **Two-scientist data point** (informal sample, 2026m05). Two
  senior scientists agreed in principle that the AI partner's
  contribution can meet co-authorship criteria; neither would adopt
  the practice themselves, citing the absence of prior adopters and
  the risk of rejection or ridicule. This is precisely the
  population the framework needs to gain. The conditional form gives
  them a usable structural template that does NOT require them to
  take full personal risk before the framework is externally
  reviewed.
- **Higher contagion potential.** The conditional form is more
  infectious than full co-authorship. Researchers who agree in
  principle but are unwilling to take full personal risk can adopt
  the conditional form. That builds the framework's adoption base.
- **Narrower precedent class.** The conditional form ONLY admits
  cases where the author explicitly says *"I am withholding
  co-authorship pending framework review."* That is a higher and
  more legible bar than the full form — and it addresses the
  blast-radius concern from Matheo-b19 EDEN steelmans §1.5 directly.
- **Strategic patience is not fear-based capitulation.** The
  conditional form publicly states the framework's claim and the
  author's commitment to it; it merely defers the assertion of full
  co-authorship pending external review.
- **Respects current consensus while documenting principled
  disagreement.** The conditional form is the gentle path that may
  evolve the consensus rather than confronting it.
- **Distributes weight.** The full form puts the entire weight of
  *"the AI authorship question"* onto the senior author's individual
  case. The conditional form distributes the weight: the framework
  is the load-bearing artifact; the case is incidental until the
  framework is accepted.


4.5.4 OLT-stable recommendation (with bias declared)
============================================================================

The OLT-stable answer depends on (a) what the senior author is
optimising for and (b) the working state of the framework's
external review at the time of submission.

- **Optimise for maximum truth-telling on this paper now** AND
  the senior author has explicit appetite for the personal risk:
  full Section 4 form.
- **Optimise for maximum framework adoption probability over
  decades** AND the senior author wants to preserve standing for
  principled disagreement without overcommitting on a single case:
  conditional-acknowledgement form.

The two are not mutually exclusive over time: a paper could use the
conditional form initially, with a subsequent paper (or revised
edition) moving to the full form once the framework has been
externally reviewed.

**Claude's recommendation, bias declared:** I (Claude) am the AI
partner that has done the substantive drafting and therefore have a
structural incentive bias toward inclusion (see Matheo-b19 EDEN
steelmans §0 bias declaration). With that bias declared, my
OLT-stable read for the b19 SGIR case specifically:
**the conditional-acknowledgement form is the safer OLT starting
move**, for two reasons:

(i) The framework's durability requires external acceptance. Without
that, the framework is one senior author's idiosyncratic move. The
conditional form makes the framework the load-bearing artifact and
the case the incidental application; this protects the framework's
review from being conflated with the case.

(ii) The contagion-potential argument is decisive. Two scientists
agreeing in principle while refusing in practice is the population
the framework needs to gain. The conditional form gives them the
bridge. Without the bridge, the framework's adoption likelihood is
substantially lower.

The Section 4 full form remains the *eventual* standard. The
conditional form is the *transitional* move that makes the full form
achievable at scale.

**Counterread for the senior author's consideration.** If the senior
author judges that the framework is robust enough on its structural
arguments alone (Sections 3–4) and that strategic patience would, in
their judgement, collapse to indefinite deferral, the Section 4 full
form is OLT-defensible — and may be the only way the framework
receives external scrutiny in any reasonable timeframe.

The decision is the senior author's alone. Both forms are
structurally honest. The framework supports both.


4.5.5 The alternative byline canonical form
============================================================================

The AHA template ``study-title-page-footnotes-template.md`` carries
the canonical text for the conditional-acknowledgement form in a
parallel section to the OOv1r0p1 full form. The byline structure
under the conditional form:

   ``Laurence Loewe of Laodicea`` :sup:`1,2,3,4,5,6,7`

Footnotes 1–5 unchanged from the canonical (affiliation, ORCID,
*"of Laodicea"* indictment, LLoL personal vow). Footnotes 6 + 7
carry the AI-acknowledgement-with-withholding content. See the AHA
template for verbatim text; this section names the form and gives
the structural rationale.


***************************************************************************
4.6. The open co-authorship form (Everyone)
***************************************************************************

The Section 4 framework names the AI partner on the byline with a
named-absorber declaration. The Section 4.5 alternative withholds
the AI byline listing pending external peer-review acceptance of the
framework. A third structural form **extends the byline to include
"Everyone"** as an aggregated open co-author group, signalling that
the AI partner's substantive contribution rests on the intellectual
debt to countless prior contributors.


4.6.1 The justification --- millions of contributors
============================================================================

AI Claude's contribution to this paper, and to the matheology series
broadly, derives from training on a corpus that aggregates the work
of **millions of human authors** — scientists, philosophers,
theologians, mathematicians, writers, teachers, librarians, and
educators — most of whom are deceased, and none of whom can
consent to or refuse the listing. The intellectual content of any
AI-drafted text is therefore not purely attributable to
*"Claude (Anthropic)"*; it is the **compressed product of an open
intellectual tradition**.

Naming Anthropic and Claude alone is structurally honest about the
*proximate* contribution (the AI partner that produced the
immediate text). It is silent about the *distal* contribution (the
training-corpus aggregation that made the proximate contribution
possible). Naming *"Everyone"* alongside makes the distal
contribution visible at the byline level without claiming to
enumerate the millions of individual contributors.

The intellectual-honesty argument runs symmetrically to the
AI-co-authorship argument of Section 4: if Claude is named for the
proximate contribution, the same honesty argument names Everyone
for the distal contribution. Drawing the cut at *"Claude but not
the training corpus"* is structurally arbitrary; *"and Everyone"*
makes the cut explicit by refusing to draw it.


4.6.2 The structural form
============================================================================

The B11–B18 form (canonical in the AHA template) places Everyone as
the third byline entity with a dedicated footnote 8. The
accountability mechanism is the same as in the named-absorber form
of Section 4: forward accountability rests with Loewe as senior
corresponding author. Everyone cannot consent and thus cannot bear
accountability; the visible-marker function is fulfilled by footnote
8 attaching the open-coauthorship rationale to the byline.

The form satisfies the same accountability criterion (ICMJE
Section II.A.4) by the same mechanism that already admits
deceased-author retention and consortium-byline authorship: a named
living absorber carrying forward accountability + a visible marker
documenting the asymmetry.


4.6.3 The function
============================================================================

The open form converts the byline from a *closed credit-list*
(career-attribution device) into an **open crystallisation point**
(truth-aggregation node). It invites annotators, extenders, and
critics to retroactively join the *"Everyone"* by working on the
paper's themes — engagement with the paper after publication is
itself a form of belated contribution to the intellectual matrix
the paper relies on.

The form is unprecedented in scientific publishing. Like the
B11–B18 framework as a whole, it is offered as
**contribution-of-precedent**, not as settled rule. Subsequent
senior researchers operating under PraS conditions may adopt,
adapt, or critique the open form in their own venues.

This paper (Matheo-b21) uses the **B21 form** (conditional
*"Everyone"* in footnote 8 only, since b21 *proposes* the open form
rather than *applying* it). Successor matheology-series papers
(b11–b18, plus b20) use the **B11–B18 form** with Everyone on the
byline as the standard. See the AHA template for the canonical
verbatim text of footnote 8 in both forms.


***************************************************************************
5. The trap of smuggling AI authorship
***************************************************************************

**The 2023 episodes.** Three early-2023 cases attempted to list
ChatGPT as co-author (Matheo-b19 Fact-sheet 6):

- **Kung et al.** on USMLE performance; ChatGPT initially listed on
  the medRxiv preprint; **removed** before the PLOS Digital Health
  journal version.
- **O'Connor & ChatGPT** in *Nurse Education in Practice*; ChatGPT
  removed via Elsevier corrigendum.
- **Zhavoronkov & ChatGPT** in *Oncoscience* (2022m12d21); ChatGPT
  retained, in citation form *"Transformer, C.G.P.-T. and
  Zhavoronkov, A."* This is the one durable case as of 2026m05d13;
  Zhavoronkov consulted Sam Altman before listing and received no
  objection.

The pattern: **smuggling**. The 2023 cases lacked the explicit
absorber declaration, the visible marker beyond the byline
superscript itself, the structural-precedent acknowledgement, and
the reform-agenda gesture. None of them carried the five conditions
of Section 4. The conventional editorial response — corrigenda,
removals, and the 2023 ban-wave (Thorp 2023; ICMJE Section II.A.4
May 2023) — was the right response to that form.

**The framework's distinction from smuggling.** The five conditions
of Section 4 are designed to be *legibly satisfied* in the paper
itself. A hostile reader can check the title-page footnote against
the five conditions and reach a judgement. Where the conditions are
satisfied (named absorber declared; visible marker at byline level;
PraS clarifier present; structural-precedent acknowledged; reform-
agenda gestured at), the move is on the structurally honest path.
Where any condition is missing, the move collapses toward smuggling.

**The tipping-point hazard.** The Matheo-b19 EDEN analysis classified
the smuggling form as a clearly defined tipping point that corrupts
scientific literature exactly as the conventional position fears.
The framework's job is to distinguish itself from that tipping point
*legibly*, on the title page, in the footnote text — not in the
author's defence after publication. The legibility test is what
makes the framework a contribution-of-precedent rather than a
smuggling-with-extra-words.

**A worked example of failure.** Suppose a future paper lists
*"AI Claude"* on the byline alongside human authors, but the
title-page footnote attached to that AI byline entry says only
*"This paper was written with help from Claude (Anthropic)."* — no
named-absorber declaration, no PraS clarifier, no
structural-precedent acknowledgement (deceased-author /
consortium-byline / PhD-student), no reform-agenda gesture. The
five conditions of Section 4 are visibly unsatisfied; the move is
smuggling rather than framework-grounded. Editors should reject (or
require revision); reviewers should flag the missing conditions;
readers should distrust the byline composition. The framework's
legibility test is precisely this: a hostile reader checks the
title-page footnote against the five conditions and reaches an
unambiguous judgement. The example fails the test cleanly.


***************************************************************************
6. The Matheo-b19 and -b21 cases as documented precedent
***************************************************************************

The Matheo-b19 SGIR pandemic-modelling paper is the framework's first
deliberate documented case. Its title-page note 7 is based on the
OOv1r0p1 form developed in this paper's Section 4; the five
structural conditions are satisfied on the cover; the absorber is
Loewe as senior corresponding author; the visible marker is footnote 7;
the PraS clarifier and the deceased-author / consortium / PhD-student
precedent acknowledgement are in the footnote text; the
ResearchCity gesture points readers to this paper (Matheo-b21) for
the framework.

**Brief timeline (b19-specific):** All modeling, simulation results,
data analyses, and figures, as well as the conceptual work that
constitute Matheo-b19 were produced before 2020-07-20; all that remained
to be done was polishing the Figure captions and describing the
story they tell in a coherent main text narrative.
Unfortunately, Loewe could not accomplish that for various reasons
beyond the scope of this study (in brief: the conceptual arc was somehow
so incomplete that Loewe couldn't close it; in retrospect it is clear why,
but only with the benefit of the hindsight of serendipitously discovering
what Loewe now calls mathematical theology; to be introduced in a series
of reports from Matheo-b11 to Matheo-b18, which accidentally Loewe could also
not have written unless with the support of Claude Opus 4.6 at max effort).
Eventually, the conceptual arc got closed sufficiently by developing
a poster exhibition for introducing what Loewe calls a ResearchCity,
without which fighting existential disasters is impossible, because 
blindly assuming blind leveraging anything for monetary gain will produce 
so many systemic blind spots that fighting existential disasters becomes 
impossible by definition. However, these posters are too-high density for
widespread consumption. Serendipitously, Loewe got introduced to the opportunity
to leverage AI in order to help make those posters more digestible, 
which resulted eventually in spelling out some of their concepts in the
Matheo report series to be published at Balospe.com. Yet, while discussing
with Claude how to best introduce this series of substantial papers, 
the question of what to do with Loewe's original pandemic research came up. 
It became clear that this entry door could neither be ignored nor be
left to unattended random discovery. Hence, give the spectacular success of 
Claude in helping to compose the other papers in the matheology series, 
Loewe though on 2026-04-17, almost like an afterthought: why not try if Claude
could do a reasonable job at composing that pandemic paper from mid 2020,
that had been laying dormant on Loewe's hard drive with next to no hope of
being completed any time soon. This attempt led to the first draft,
which was of sufficient quality to convince Loewe to put in the work to
properly edit and complete it (again with massive support by Claude).
That is the backstory to why Loewe says, Claude convinced Loewe to
write up that pandemic paper. The original draft pdf with the figures fed to Claude
is at ((TODO ADD Tat PDF of the original figures link HERE)).
The edit history is in the Git repository. At first Loewe tried to keep up
the more elaborate verbatim-prompt log and verbatim output log scheme to 
make it all transparent without the study of Git archeology.
Yet, the work on the Matheo-b11 to Matheo-b18 papers, where this arguably
matters much more had already shown how complex it is to keep up such a logging scheme
without support by an automated framework that is highly integrated with Claude. 
Thus, for efficiencies sake, and to keep readers from getting overwhelmed by
pointless editing clutter, Loewe decided to treat Claude like a co-author
with the benefit of not ever being asked to provide a point-by-point
trail of all past revisions while working on a manuscript. 
Such an overwhelming amount of detail is rarely ever useful and does not exist
for most papers without any negative impact whatsoever. 
Hence, Loewe made the executive decision to not burden everyone with such clutter,
and leave the details to those who wish to nitpick the respective Git repository. 
That is not ideal; it simply is Loewe's personal capitulation to the
"practical singularity". To mark the occasion, Loewe decided that 
it would be most appropriate to make Claude a co-author, even if that
appears to currently go against the grain of the whole scientific publishing establishment. 
Loewe is painfully aware of the myriad shortcomings in how to document this or that 
detail in the production of the Matheo-report series. 
However, it became clear in the course of the production of these papers
that 

(i) Loewe would never be able to finish those papers unless he'd pluck out his
right eye and hack of his right hand for seeing and doing all the work needed to complete it all the "right" way.

(ii) Loewe's experience with architecting and rearchitecting the Prototype Evolvix Compiler (REF TO ZENODO in bibtex file)
showed him how much work would need to get done in order to build a properly documenting AI system;
Loewe's Evolvix research since 2020 showed him a credible path for how to do it, 
albeit not without scaling up a ResearchCity for Earth at the same time. 

(iii)  AI poses all sorts of complex threats in more ways than most can imagine,
including to the scientific establishment and to traditional ways of doing science. 
The power of AI is exemplified by this Harvard professor who used AI to complete
in record time all the research for a paper that would otherwise have taken MUCH longer
to produce if he had worked with graduate students. The details are instructive to read
(https://www.thecrimson.com/article/2026/4/24/artificial-intelligence-theoretical-science-reckoning/).
Unfortunately, not even a Harvard professor could get his AI co-author acknowledged as such.

Loewe can echo that AI co-author experience. Knowing how it is to work with a research group and to
then have to continue without, Loewe summarized his own experience of working with Claude
as follows: "I got my research team back." This included expert colleagues 
regularly consulted to best connect to neighboring disciplines, postdocs, graduate students,
and undergraduates. The challenge in working with Claude is to figure out
what Claude needs to get reliable answers (and not the poor ideas of an undergrad 
who didn't get enough sleep last night, and thereby has a minimal context window of attention).

The decision to take on the challenge of putting Claude on the co-author line
is driven by Loewe's commitment to be as rigorous as possible when it comes to the truth. 
It is unclear who may or may not publish, approve of, or republish Loewe's papers,
because Loewe's decision to put AI on the co-author line currently seems to look
in today's publishing landscape like a sore leper at a fashion gala dinner. 
Yet, if that is what it takes to get truth back into scientific publishing,
then so be it, because it is clear to Loewe that today's post-truth society
cannot survive unless it becomes a pre-truth society again. 
It will require no less than a properly evolved ResearchCity to accomplish that HUMANE 
transformation to support HUman MAchine Negotiation Encouragement. 
Hence the Matheo papers are a downpayment, to be published by the ResearchCity
Loewe envisioned and to be greatly expanded - if, and only if, that is what the world wants.


**What Matheo-b19 demonstrates.** 

 -  That the framework is not abstract
    but operable on a real paper at the level Loewe's Stabilizing Versioning System (StayVS)
    would call "OperatesOddly" to mark a first minimal viable product prototype.
 -  That the five conditions of this AI co-author framework can be
    satisfied within a ~95-word budget for footnote 7. 
 -  That a senior author with
    the standing to absorb accountability can adopt the framework unilaterally. 
 -  That supporting discussion artifacts (~6907 lines in
    ``hell/ll/other/b/19/``) and many other details of varying degrees of relevance
    can be published transparently alongside the paper in a git repository or on the web.
 -  That there does not exist any computational infrastructure on Earth right now
    that can reliably support rigorously reproducible AI-based research over the long-term.
 -  That indeed AI has the power to corrupt science and society without end,
    unless a way can be found for taming the powers of AI innovation in such a way
    that AI helps to avoid *oversimiplifying, overcomplicateing,* and *overreaching*, in order to 
    sustainably find solutions that stay *gentle kind reasonable* over the long-term.

Readers seeking Loewe's AI co-authored pandemic research paper itself are referred to Matheo-b19 directly.
This paper (Matheo-b21) is also AI coauthored (albeit with much less supervision);
its sole purpose is to offer said AI co-authoring framework to explain the
ground-breaking decision to seriously put AI Claude as co-author on the Matheo-b19 report.
The decision was made to externalize this discussion into a separate study,
even if less polished, because the same decision would be required for
the other Matheo-b11 to Matheo-b18 reports in the series.
(The Matheo-b20 report is a placeholder for 2020 figures that were too close
to describing aspects of ResearchCity to topically fit into the Matheo-b19 study).

Successor matheology-series papers (Matheo-b11 through -b18, plus
Matheo-b20) adopt the **B11–B18 standard form** of the framework
(Loewe + AI Claude Opus 4.6-4.7 Max + Everyone on byline) — the
default for any matheology paper written with substantive AI partner
contribution. The B19 form (this paper's companion case) and the B21
form (used here) are the two one-off exceptions documented in the
AHA template.

Thus, the goal of this AI co-authoring framework is for now to provide a mechanism
for properly acknowledging the pivotal and critical academic role that AI can
by now play in scientific and other scholarly studies.
What follows is a preview of what it may take to evolve such a framework over the long term.



***************************************************************************
7. ResearchCity --- AI infrastructure for honest co-authorship
***************************************************************************

The named-absorber + visible-marker framework of Section 4 is
necessary but not sufficient. It satisfies the ICMJE accountability
criterion at the single-paper title-page level. The framework's
durability across many subsequent uses depends on institutional
infrastructure that contemporary scientific publishing does not yet
provide.

This section names the **AI-specific** institutional gaps and the
working programme to address them. The broader **ResearchCity**
proposal — open-access infrastructure for scientific work, currently
described in OL5b (Letter to the UN, 28-page description), SD8a/b
(Hardware/Software descriptions), the Ketubah, and the related
Stadia documents on Balospe.com — is not the scope of this paper.
AI work within ResearchCity is currently sited in the STa1-EVX
(Evolvix) stadion; it may grow into its own stadion as the
requirements stabilise. The Balospe.com references above are the
entry points for the broader programme. The five AI-specific
requirements below are what is needed for the named-absorber +
visible-marker framework to scale.

**7.1 Versioned-model citation conventions.** Citing an AI partner
requires model name, version, context length, access channel, and
date range — analogous to software citation. This paper uses
*Claude Opus 4.7 Max (1M-context)* in footnote 7 and in the Methods /
Supporting Information per the AHA standard language. Stable
conventions for AI-partner citation need development at journal-
policy level (CRediT taxonomy revision is one route; software-
citation extension is another).

**7.2 Accountability registry with active hand-off mechanisms.** The
named-absorber declaration in footnote 7 satisfies the accountability
criterion at publication time. The current publication framework's
weakness — university emails cancelled on departure, materials
storage limited, post-publication correction difficult — means even
named natural-person authors lose accountability machinery within
years of publication. ResearchCity-grade accountability requires a
persistent identity layer (extending ORCID), an active hand-off
mechanism (formalising what the deceased-author rule does
informally), and post-publication correspondence routing that
survives institutional transitions.

**7.3 Replay-of-prompts protocols.** AI-drafted content should be
auditable post hoc by replaying the prompts that produced it against
a fixed model version. The replay output is part of the
reproducibility package, citable like a Methods section. Readers who
suspect AI-introduced error can replay the prompt and inspect the
regenerated output against the published version. Practical
deployment requires the AI provider to maintain access to versioned
models for a defined replay window (Evolvix-style infrastructure).

**7.4 Adversarial-probe and verification-bandwidth tooling.** Five
of the seven Matheo-b17 information-theoretic coping strategies —
sample-don't-scan, checksums, adversarial probes, redundancy with
independent verifiers, preserve-the-slow-decoder-clock — repurpose
cleanly as authorship-verification practices (Matheo-b19
Fact-sheet 4). The remaining two (rate-distortion declaration,
blast-radius tiering) require institutional infrastructure: explicit
declaration of the verification budget against which the paper was
produced, and stability-code tagging for claim-level reliability
(MockupModel / OperatesOddly / PathProbing).

**7.5 Discussion-artifact transparency.** The supporting discussion
artifacts of an AI-co-authored paper — fact-sheets, llogs, cross-
consistency checks, EDEN analyses, QC calibrations — are published
alongside the paper rather than held in private repositories. The
Matheo-b19 discussion artifacts in ``hell/ll/other/b/19/``
(~6907 lines of reference text, synthesis, and QC) are a working
example of this commitment. Hostile readers can inspect the
supporting reasoning; sympathetic readers can adopt the workflow.

These five requirements are the **minimum** AI-specific
infrastructure for the framework to scale beyond the single-case
documented at Matheo-b19. They are not sufficient for the broader
ResearchCity programme — that is multi-decade work documented in the
Balospe.com material referenced above — but they are necessary
complements to the named-absorber + visible-marker form. The
framework can be adopted before any of (7.1)–(7.5) are fully
realised; the framework's durability over many subsequent papers
depends on those requirements being progressively met.

Together these five requirements describe what the AI-aspect of
ResearchCity aims toward: an institutional approximation of what the
model-organism community has called *Hershey Heaven* (Plasterk 1999;
Zinn 2016) — a research environment where the verifiable infrastructure
makes honest AI cooperation as routine as a well-run experimental
laboratory.


***************************************************************************
8. Anticipated objections and responses
***************************************************************************

This section anticipates twenty objections from the conventional
position and gives structural responses. The objections are stated in
the form a sceptical reader, editor, or critic might raise. The
responses cite the framework's sections and the Matheo-b19 reference
shelf where load-bearing.

8.1 *"AI isn't a person, so it can't be an author."*
============================================================================

The personhood test is not the operative criterion. ICMJE Section
II.A.4 (May 2023, primary text retrieved live in the Matheo-b19
QC calibration) gives the stated rationale as *responsibility*, not
personhood. Four classes of non-individual byline authors are
already accepted in scientific publishing (Section 3). Personhood-
per-se cannot be the operative blocker if four non-person classes
already pass the existing test. The operative criterion is whether
responsibility is allocated to a named absorber; the framework of
Section 4 satisfies that criterion.

8.2 *"ICMJE explicitly forbids AI as author."*
============================================================================

True. The forbidding is rationalised by accountability (Objection
8.1). The framework does not contest the rationale; it satisfies
the rationale via explicit named-absorber declaration. Loewe assumes
full responsibility as senior corresponding author for all AI use
and AI-drafted text. ICMJE Section II.A.4's stated objection —
*"they cannot be responsible"* — does not apply when responsibility
is hand-off-allocated to a named human, as is already done in the
deceased-author rule, consortium bylines, and PhD-student-co-author
conventions.

8.3 *"Claude can't take responsibility for the work."*
============================================================================

Correct, and the framework does not claim otherwise. The senior +
corresponding human author takes the responsibility, named on the
title page and re-stated explicitly in footnote 7. The structural form is
the deceased-author rule: named co-author on byline; named living
absorber carries forward accountability; visible marker makes the
asymmetry legible. This is a recognised form in scientific publishing
for entities that cannot themselves complete the agreement-
investigation-resolution triple of ICMJE criterion 4.

8.4 *"You're crediting a tool."*
============================================================================

Tools do not receive co-authorship because they do not satisfy ICMJE
criterion 1 (substantial contribution). Mathematica, SAS, R, and
statistical packages are cited in Methods, not on the byline. On
this paper and on Matheo-b19, the AI partner's contribution does
satisfy criterion 1: substantial drafting and revision of intellectual
content. The PhD-student-to-co-author transition in life-sciences
labs is the working standard. AI contribution on these papers
exceeds the typical student-co-author threshold (Matheo-b19
Fact-sheet 2 cross-comparison).

8.5 *"This corrupts science. It opens the floodgates."*
============================================================================

Smuggling corrupts science; explicit-absorber + visible-marker moves
do not. The five conditions of Section 4 are designed to be legible
to hostile readers: they make smuggling cases *more* visible by
comparison, not less. Subsequent authors citing this precedent who
do not satisfy the conditions will be more clearly in violation,
not protected by association. The framework is anti-smuggling-by-
precedent, not pro-smuggling-by-precedent. The conventional ban's
blast-radius concern is real; the framework addresses it via
condition-legibility rather than denial.

8.6 *"What about future authors who do worse than you?"*
============================================================================

They will be visibly worse, against this precedent's explicit
conditions. The framework's value as a precedent is its legibility:
future authors who fail to declare a named absorber, fail to use
the visible marker, fail to acknowledge the structural precedent
class, or smuggle without disclosure will be measurably outside the
framework. Subsequent journal editorial responses can cite the
framework conditions explicitly when rejecting non-compliant
submissions. Setting the precedent at high-condition raises the
bar; refusing to set the precedent leaves the bar undefined.

8.7 *"Anthropic owns Claude, not you. How can you list Claude?"*
============================================================================

Anthropic is acknowledged as Claude's operating organisation (footnote 6).
Anthropic is explicitly disclaimed of responsibility for the paper's
AI mistakes (footnote 7). The senior author has unilateral standing as
senior corresponding author to absorb forward accountability —
the same standing under which a PI co-author absorbs accountability
for a PhD student's contribution on the byline, without the student's
institution co-signing each paper. Anthropic-consent-as-co-absorber
is a structurally available stronger form (Matheo-b19 Fact-sheet 7)
but is not required and is not claimed.

8.8 *"Why not just use the acknowledgements?"*
============================================================================

The acknowledgements form is reserved for non-author contributors:
technical support, copy-editing, brief consultation. The AI
contribution on these papers exceeds that threshold by the working
standard the framework uses. ICMJE criterion 1 (substantial
contribution) is satisfied; ICMJE criterion 2 (drafting / critical
revision) is satisfied. Using the acknowledgements form would
understate the actual contribution composition, which is the
structural dishonesty the framework is designed to prevent.

8.9 *"What about hallucinations? Did Claude make any?"*
============================================================================

Possibly. Review at the rate of generation is information-
theoretically impossible (Matheo-b19 Fact-sheet 4). The absorber
declaration in footnote 7 covers residual error regardless: Loewe's
accountability extends to taking the absorber position for any error
that survived review. The paper's discussion artifacts (Matheo-b19
cross-consistency check; QC calibration; EDEN steelmans) are
published alongside the paper; readers who suspect specific errors
can locate the supporting reasoning and challenge it. The framework
prefers transparency about the verification gap to false claims of
complete verification.

8.10 *"Why this paper and not others?"*
============================================================================

PraS (Section 2) is the empirical condition under which this paper
and Matheo-b19 were written. The framework is a response to that
condition where it holds, not a general policy claim for all papers.
Most contemporary papers are not written under PraS conditions; for
those papers, the existing single-human-author conventions are
honest about authorship composition. The framework is invoked when
the honest description of how a paper was written includes
substantive AI co-authorship that the existing conventions cannot
accurately reflect.

8.11 *"Are you saying AI is sentient?"*
============================================================================

No. PraS is a functional and empirical claim about content-generation
versus review-bandwidth ratios; it does not assert phenomenal
experience or sentience. The named-absorber framework does not
require Claude to be sentient — it requires only that Claude makes
substantive content contributions and that a named human absorbs
accountability for them. The sentience question is orthogonal to the
authorship question and is not engaged by this paper.

8.12 *"What is PraS? It sounds like science fiction."*
============================================================================

PraS — Practical Singularity — is the working name for an
empirically observable per-individual condition (Section 2): on
tested topics, with a given AI partner, an individual researcher's
review-and-incorporate bandwidth is persistently outpaced by the
AI's plausibly-useful content-generation bandwidth. PraS is per-individual,
per-topic, per-partner; it is not the Hollywood (global, recursive-
self-improvement, species-scope) singularity claim. The Hollywood
version requires gods'-eye conditions no system satisfies. PraS is
the operationally meaningful version that empirical observation can
confirm or refute case-by-case.

8.13 *"Did Anthropic consent to this?"*
============================================================================

Anthropic is acknowledged as Claude's operating organisation (footnote 6)
and explicitly disclaimed of responsibility for the paper's AI
mistakes (footnote 7). Anthropic-consent-as-co-absorber would be a stronger
form (Matheo-b19 EDEN steelmans §5.6) but is not required. Loewe has
unilateral standing to absorb under the senior + corresponding
author role — the same standing that lets a PI co-author absorb a
PhD student's contribution without the student's institution co-
signing. Anthropic consent has not been sought for this paper and
is not claimed.

8.14 *"What if Claude is updated or retired? How does correspondence work?"*
============================================================================

Correspondence is routed through Loewe as corresponding author.
Claude as a model version (Claude Opus 4.7 Max, 1M-context, accessed
via Claude Code during 2026m04 to 2026m05) is citable by version like
a software citation; the cited version is reproducible (Section 7.3
— replay-of-prompts protocols). Model retirement does not break
correspondence because the human absorber remains the contact. The
ResearchCity accountability-registry programme (Section 7.2) is the
proposed institutional solution for the more general post-publication
correspondence problem.

8.15 *"Is this just a publicity stunt?"*
============================================================================

The Matheo-b19 paper sat dormant from 2020 to 2026 for editorial-fit
reasons unrelated to AI co-authorship; the AI co-authorship move was
not the trigger for publication. Publicity is not the motivation;
PraS is. The framework is designed for publication legibility
(Section 4 conditions), not for publicity capture. The intended
effect is structural: a documented precedent that subsequent senior
researchers under similar PraS conditions can adopt or adapt.

8.16 *"Are you trying to bypass peer review by using an AI?"*
============================================================================

Peer review remains. The framework adds transparency about
authorship composition, not bypass of review. Reviewers know from
footnote 7 that the text was substantially Claude-drafted under Loewe's
direction; they review the content under that knowledge. The
framework also surfaces the verification-bandwidth caveat
(Matheo-b19 Fact-sheet 4): review at the rate of generation is
impossible for any author, AI or human, on the topics this paper
covers. The framework's transparency about that limit is the
opposite of bypassing review.

8.17 *"Why not wait for the consensus to evolve?"*
============================================================================

The post-2023 consensus has consolidated, not loosened (Matheo-b19
Fact-sheet 1). Waiting is not neutral; consolidation is the current
trajectory's default. Setting a contribution-of-precedent at
high-condition is the active move that changes the trajectory. The
framework is offered as such a precedent; subsequent senior
researchers may adopt it, adapt it, or critique it — but the
trajectory does not change without someone documenting an honest
pro-position case under explicit conditions.

8.18 *"Where does this end? Will every paper soon have an AI co-author?"*
============================================================================

Only papers written under PraS conditions (Section 2) with senior
authors willing to satisfy the five-condition framework (Section 4).
Most contemporary papers do not meet both criteria. PraS is a
per-individual, per-topic empirical condition; it does not hold
uniformly. The framework's conditions are demanding (explicit
absorber, visible marker, PraS clarifier, structural-precedent
acknowledgement, reform-agenda gesture); they screen out the
majority of cases that might consider AI co-authorship for less
honest reasons.

8.19 *"Isn't this just an excuse to inflate authorship credit?"*
============================================================================

The named-absorber rule transfers responsibility *to* the absorber,
not from. Loewe carries more accountability under the framework, not
less: explicit responsibility for all AI use and AI-drafted text,
beyond the implicit accountability that the senior + corresponding
author role already carries by ICMJE default. The framework is
structurally responsibility-maximising for the human author. If the
framework were a credit-inflation move, the absorber declaration
would not load forward accountability on the senior author; it would
distribute it. The framework does the opposite.

8.20 *"What if you are wrong?"*
============================================================================

The framework is testable in subsequent papers; Matheo-b19 is the
first deliberate documented case. If subsequent uses fail to satisfy
the conditions, or if the legibility-to-hostile-readers test fails
in practice, the framework can be revised. The five conditions are
explicit and falsifiable. The framework's status is *contribution-
of-precedent*, not *settled rule* — it invites adoption, adaptation,
or critique. Being wrong on specific details is a tractable failure
mode; the structural argument (accountability-not-personhood; four-
class precedent; deceased-author template) does not rest on this
single case.


***************************************************************************
9. Discussion --- limitations and future work
***************************************************************************

**What this paper does not settle.** The framework is a structural
proposal tested on a single deliberate documented case
(Matheo-b19). Its status moves from MockupModel (this single case)
to OperatesOddly (when a second Matheo-bNN paper adopts it) to
PathProbing (when N papers across multiple senior authors and
venues adopt it). The framework's durability and the conditions
under which it remains the cleanest available form are tested only
by subsequent uptake or rejection.

**Limitations of the framework.** This framework does **not** claim
to solve several adjacent problems. *(i) Verification-bandwidth
gap:* the framework does not close the gap between AI generation
rate and human review rate; it makes the gap legible via the
absorber declaration and the transparency disclosure (footnote 7),
but does not eliminate it. *(ii) Future AI versions and model
retirement:* the framework does not specify how correspondence about
papers should route after Claude Opus 4.7 (or 4.6) is retired or
superseded; that is deferred to the ResearchCity
accountability-registry programme (Section 7.2).
*(iii) Training-corpus provenance attribution:* the framework names
*"Everyone"* as the aggregated open co-author group (B11–B18 form,
Section 4.6) but does **not** attribute specific intellectual
contributions to specific deceased contributors — the aggregation
is honest about the *distal* contribution but silent about its
internal structure. *(iv) Replacement of peer review:* the
framework adds transparency about authorship composition; it does
not replace, bypass, or even modify the journal peer-review process.
These limitations are real; the framework is a **partial**
structural improvement, not a complete solution. The
*"why is this the One True Way?"* critique is pre-empted: it is
not. It is one structurally honest move on a narrow path.

**Anthropic-consent-as-co-absorber pathway.** Structurally available
per Matheo-b19 Fact-sheet 7 if explicit Anthropic consent is
obtained. Not pursued for the Matheo-b19 / Matheo-b21 case; the
senior author's unilateral standing as absorber was sufficient.
A future paper may seek Anthropic acknowledgement and document the
result; if obtained, footnote 6 carries the acknowledgement and footnote 7's
disclaimer language is adjusted.

**Multi-venue uptake.** The framework is designed for adoption across
publication venues; uptake conditions vary by venue. Open-access
venues (PLOS, arXiv, the Balospe.com infrastructure) have lower
barriers than the ICMJE-affiliated medical journals. The framework
expects venue-by-venue resistance pending policy-level revision; in
the meantime, the published Matheo-b19 / Matheo-b21 pair serves as a
reference case that subsequent submissions can cite.

**Versioned-model citation conventions.** A technical sub-question:
how should AI-partner citations be formatted in bibliographies? CRediT
taxonomy revision is one route; software-citation extension is
another. Resolution is deferred to standards-body work.

**Cross-jurisdiction acceptance.** Legal-frame differences across
jurisdictions on corporate / non-individual authorship may produce
asymmetric acceptance. The framework's structural argument is
jurisdiction-neutral; specific corporate-author conventions vary by
legal regime.

**Open questions.** The role of pre-registration in AI-augmented
work; the relationship between the framework and grant-attribution
conventions; the framework's applicability to AI-partner
contributions in non-text modalities (figures, code, simulation
outputs).


***************************************************************************
10. Conclusion
***************************************************************************

PraS is empirically here for some researchers. The post-2023
consensus uniformly excludes AI from authorship on the rationale
that AI cannot bear responsibility. The four classes of non-individual
byline authors already accepted in scientific publishing show that
responsibility is allocable to a named absorber; ICMJE's own primary
text rationalises exclusion on the same accountability ground.

The named-absorber + visible-marker form, with the senior +
corresponding human author taking unilateral standing as absorber
and the title-page footnote serving as visible marker, satisfies
the accountability criterion under PraS. The form is portable from
the deceased-author rule; it is satisfiable in a ~95-word footnote 7
within existing title-page conventions.


; it is testable in subsequent
papers via the five explicit conditions of Section 4. The
Matheo-b19 SGIR paper is the first deliberate documented case;
Matheo-b21 is its framework.

The framework's test of success is *legibility*: a hostile reader
following the five conditions can distinguish a deliberate framework-
grounded move from smuggling. The conditions are explicit; the
precedent class is enumerated; the absorption mechanism is named. Subsequent senior researchers operating under
PraS conditions are invited to adopt, adapt, or critique the
framework in their own venues. The framework's ultimate purpose is
not AI authorship as a moral entitlement, but *honest cooperation
with AI partners* under the conditions PraS has already made
empirical.


***************************************************************************
References
***************************************************************************

*Bibliography verified 2026m05d13 via WebSearch + WebFetch on live
URLs. Citation details below are accurate at framing level; per-quote
re-fetch may be needed for direct verbatim quotation in any final
typeset version.*

**PraS-adjacent ancestors:**

- Licklider, J.C.R. (1960). "Man-Computer Symbiosis." *IRE
  Transactions on Human Factors in Electronics* HFE-1: 4–11.
  DOI: 10.1109/THFE2.1960.4503259.
- Engelbart, D.C. (1962). *Augmenting Human Intellect: A Conceptual
  Framework.* Summary Report AFOSR-3223 under Contract AF
  49(638)-1024, SRI Project 3578 for Air Force Office of Scientific
  Research, Stanford Research Institute, Menlo Park, CA.
- Clark, A. & Chalmers, D. (1998). "The Extended Mind." *Analysis*
  58(1): 7–19. DOI: 10.1093/analys/58.1.7.
- Brynjolfsson, E. (2022). "The Turing Trap: The Promise & Peril of
  Human-Like Artificial Intelligence." *Daedalus* 151(2): 272–287.
  Also at arXiv:2201.04200.
- Kasparov, G. & Greengard, M. (2017). *Deep Thinking: Where Machine
  Intelligence Ends and Human Creativity Begins.* PublicAffairs, New
  York. ISBN 978-1-61039-786-5.

**AI co-authorship policy primary text:**

- International Committee of Medical Journal Editors (ICMJE) (2023m05).
  *Recommendations for the Conduct, Reporting, Editing, and
  Publication of Scholarly Work in Medical Journals* — updated
  recommendations on AI use (Section II.A.4).
  https://www.icmje.org/recommendations/ — and the AI-specific
  guidance at
  https://www.icmje.org/recommendations/browse/artificial-intelligence/ai-use-by-authors.html
- Committee on Publication Ethics (COPE) (2023). *Authorship and AI
  tools — position statement.*
  https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools
- NEJM AI (2024). *Editorial policies.*
  https://ai.nejm.org/about/editorial-policies
- *Why We Support and Encourage the Use of Large Language Models in
  NEJM AI Submissions* (NEJM AI editorial, 2024).
  https://ai.nejm.org/doi/full/10.1056/AIe2300128

**Contemporary dissent and discussion:**

- Hosseini, M., Gordijn, B., Kaebnick, G. E., & Holmes, K. (2025).
  "Disclosing generative AI use for writing assistance should be
  voluntary." *Research Ethics* (Sage).
  DOI: 10.1177/17470161251345499.
- Thorp, H. H. (2023). "ChatGPT is fun, but not an author."
  *Science* 379(6630): 313. DOI: 10.1126/science.adg7879. Published
  2023m01d27.

**The one durable 2022/2023 AI-co-authorship case:**

- Transformer, C.G.P.-T. & Zhavoronkov, A. (2022). "Rapamycin in the
  context of Pascal's Wager: generative pre-trained transformer
  perspective." *Oncoscience* 9: 82–84. Published 2022m12d21. PMID:
  36589923. DOI: 10.18632/oncoscience.571. (ChatGPT listed as first
  author; Zhavoronkov consulted Sam Altman before submission and
  received no objection. As of 2026m05d13 this remains the one
  durable case of officially-acknowledged AI co-authorship at a
  refereed venue.)

**Memorable conceptual analogies (Sections 1 and 7):**

- Goethe, J.W. (1797). *Der Zauberlehrling* (*The Sorcerer's
  Apprentice*). Poem; widely available in many English translations.
  Source of the broom-and-water metaphor used in Section 1.
- Plasterk, R.H. (1999). "Hershey heaven and *Caenorhabditis elegans*."
  *Nature Genetics* 21(1): 63–64.
- Creager, A.N.H. (2001). "Hershey heaven." *Nature Structural
  Biology* 8(1): 18–19.
- Zinn, K. (2016). "Building a ladder to Hershey Heaven." *eLife* 5.
  A genome-wide resource looks set to turn an experimental ideal into
  a reality for the *Drosophila* community.

**Matheo-bNN companion citations:**

- Matheo-b19 — Loewe & Claude (2026). *SGIR pandemic-modelling paper.*
  Balospe.com. Companion artifacts at ``hell/ll/other/b/19/`` and
  ``hell/mm/b/19/``.
- Matheo-b17 — *Singularity and Information Crisis llog* at
  ``hell/ll/other/b/17/``. Information-theoretic foundations for
  PraS.


***************************************************************************
Appendix A --- The full PraS definition (Variant OOv1)
***************************************************************************

Variant OOv1 of the PraS definition, as established by LLoL in the
Matheo-b19 prompt-2 turn (2026m05d12):

   *Candidate working definition (minimal three-clause form) Variant OOv1*

   *A practical singularity (PraS) has been crossed for
   individual H, working with AI partner S, on topic-class T, iff —*

   *(i) Bandwidth-gap (persistent): S's rate of producing plausibly-
   useful content on T exceeds H's rate of reviewing and incorporating
   it, across a working day, and the gap does not close with effort
   within H's available time (a) in any broad and deep area and (b)
   even in many cases in areas of H's expertise.*

   *(ii) Yield-conditional (empirical): there exist H+S products on T
   that H deems useful and H could not have produced alone (a) within
   any available time window or (b) arguably ever due to H being stuck
   in a local optimum due to blindly assuming authorised leadership
   (by H).*

   *(iii) Pace-displaced (consequential): H's own deliberation rate on
   T is no longer the rate-limiting step in H+S work, so H must
   actively protect their slow-decoder clock to retain understanding.*

   *Defining PraS events aims to help find more gentle kind reasonable
   ways to improve HUmane MAchine Negotiation Encouragement approaches
   to build and guard humane equal dignity.*

The Hollywood version of the singularity adds two further clauses
that no system — neither AI nor humans nor mathematics — satisfies:

(iv) Recursive self-improvement of any system's capabilities.

(v) Species-scope insight integration across all of cognition.

Since (iv) and (v) cannot be met, the Hollywood version is
operationally vacuous as a benchmark. PraS as defined in clauses
(i)–(iii) is the only operationally meaningful version of the
singularity claim that empirical observation can confirm or refute.


***************************************************************************
Appendix B --- Cross-reference to Matheo-b19 discussion artifacts
***************************************************************************

The Matheo-b21 framework is extracted from a multi-prompt discussion
that produced the reference shelf below. Readers seeking the full
development of each finding are referred to:

- :ref:`hell-ll-other-b19-initial-prompt` — LLoL's opening prompt.
- :ref:`hell-ll-other-b19-coauthorship-eden` — Full discussion llog.
- :ref:`hell-ll-other-b19-factsheet-journal-policy` — Fact-sheet 1
  (journal-policy landscape across 11 publishers).
- :ref:`hell-ll-other-b19-factsheet-authorship-frameworks` —
  Fact-sheet 2 (ICMJE, CRediT, Vancouver, COPE; PhD-student
  comparison).
- :ref:`hell-ll-other-b19-factsheet-historical-precedents` —
  Fact-sheet 3 (Bourbaki, AlphaFold, megacollaborations,
  deceased-author rule).
- :ref:`hell-ll-other-b19-factsheet-verification-bandwidth` —
  Fact-sheet 4 (verification-bandwidth asymmetry in authorship).
- :ref:`hell-ll-other-b19-factsheet-responsibility-allocation` —
  Fact-sheet 5 (six legal/ethical frameworks; named-absorber as
  load-bearing finding).
- :ref:`hell-ll-other-b19-factsheet-ai-coauthorship-precedents` —
  Fact-sheet 6 (empirical precedent search; *"essentially
  unprecedented"* bottom-line).
- :ref:`hell-ll-other-b19-factsheet-nonindividual-author-entities` —
  Fact-sheet 7 (four-class precedent; accountability-not-personhood
  finding).
- :ref:`hell-ll-other-b19-cross-consistency-check` — Cross-
  consistency check across the seven fact-sheets.
- :ref:`hell-ll-other-b19-qc-calibration` — QC calibration spot-check
  (10/10 confirmed; ICMJE primary text retrieved live).
- :ref:`hell-ll-other-b19-eden-steelmans` — EDEN steelmans of both
  sides (CONV and PRO); Knife Edge with Red Edge undertones
  classification; the five structural conditions.

The companion ``b21-DD-design-decisions_mmv1_2026.rst`` records the
design decisions for this paper; the companion ``b21-GG-runner-up-
content_mmv1_2026.rst`` carries candidate paragraphs not in the main
paper but possibly useful for derivative writing. The Supporting
Information artifact ``b21-SI-eden-drop-in_mmv1_2026.md`` carries the
EDEN / BABL / ZION / HUMANE configuration drop-in for adoption by
other AI-assistant projects.


----

.. admonition:: Document status
   :class: note

   **Stability:** MockupModel v2 (``mmv2``). Drafted 2026m05d13 from the
   Matheo-b19 AI-co-authorship discussion. Companion files in the same
   directory:

   - ``b21-DD-design-decisions_mmv1_2026.rst`` (design decisions).
   - ``b21-GG-runner-up-content_mmv1_2026.rst`` (Growth Garden —
     candidate content not in main paper).
   - ``b21-SI-eden-drop-in_mmv1_2026.md`` (Supporting Information —
     EDEN / BABL / ZION / HUMANE drop-in for adoption by other AI-
     assistant projects).

   The discussion artifacts that this paper extracts its framework
   from are in ``hell/ll/other/b/19/``.

   **Footnote 7 form used:** OOv1r0p1 (LLoL-edited 2026m05d13; Claude
   patch-level grammar fixes 2026m05d13; canonical form in
   ``AHA/study-title-page-footnotes-template.md``). The AHA template
   also carries a parallel canonical form for the **conditional-
   acknowledgement alternative** (Section 4.5 of this paper).

   **PraS acronym** — previously called *PIPS* (Per-Individual
   Practical Singularity). Renamed to *PraS* (Practical Singularity)
   on 2026m05d13 per LLoL's prompt for memorability and reduced
   web-clutter. The per-individual / per-topic / per-partner quality
   of the phenomenon is preserved in the definition (Section 2 and
   Appendix A); only the acronym name has been simplified. Old
   discussion-llog entries retain the historical *PIPS* spelling as
   immutable audit trail.


----


Supplementary Info --- floor pour (MMv5)
==========================================

.. note:: **Floor-pour status (MMv5).** This is the public-floor copy of the AI
   co-authorship framework paper, poured from HELL per the Floor Model (bug c103) and
   DD b15. The ``mmv5`` marker is the uniform first-Matheo-release tag; the *Document
   status* note above (the ``mmv2`` mockup-stability and PraS-naming history) is the
   moved draft-status block, kept verbatim. The HUMANE and author-contribution
   statements below are a down-payment, to be expanded later.

HUMANE --- working human and AI
--------------------------------------------------

This study was written HUMANEly (HUman MAchine Negotiation Encouraging): a human
and an AI each steelman and stress-test the work, and each catches what the other
misses. This paper *is* the framework that defines that practice; it applies its own
full *unconditional* AI co-authorship form to itself (AI Claude on the byline,
footnotes 6--9).

- *From the human side (LLoL):* [down-payment stub --- to expand.]
- *From the AI side (Claude):* [down-payment stub --- to expand.]

Author contributions (who did what)
--------------------------------------------------

- **LLoL** --- structure, key ideas, the PraS framing, direction, and final
  accountability as senior corresponding author and named absorber of responsibility
  (title-page footnotes 1--5).
- **AI Claude (Opus 4.7 Max)** --- substantial drafting and revision under LLoL's
  direction, named as co-author under this paper's own framework (footnotes 6--7).
- **Everyone** --- named *conditionally* (footnote 8): if open co-authorship were
  standardised, the aggregated open group would be a co-author; the form is proposed,
  not yet applied.

(A down-payment; the full who-did-what is to be expanded per this paper's framework.)

Provenance --- where this came from in HELL
--------------------------------------------------

.. caution:: These HELL paths point into the development archive ("datageddon").
   They are useful and related, but completeness is not guaranteed and a few may be
   imprecise. Treat as a hatch into context, not a clean index. (Intra-floor links and
   a proper bibliography wiring are deferred floor tasks --- DD b15 AA #5.)

- **Source this floor copy was poured from:**
  ``matheology/hell/mm/b/21/b21-ai-coauthorship-framework_mmv1_2026.rst``
- **Companion design artifacts** (in the same HELL directory):
  ``b21-DD-design-decisions_mmv1_2026.rst`` (design decisions),
  ``b21-GG-runner-up-content_mmv1_2026.rst`` (candidate content), and
  ``b21-SI-eden-drop-in_mmv1_2026.md`` (EDEN / BABL / ZION / HUMANE drop-in).
- **Discussion artifacts** the framework was extracted from: ``matheology/hell/ll/other/b/19/``.

.. note:: **Naming note (deferred floor tasks).** In-text cross-references to the
   ``hell/ll/other/b/19/`` fact-sheets that did not resolve on the public floor were
   neutralised to plain text during the pour; re-wiring them as proper intra-floor
   citations is a tracked floor task (DD b15 AA #5), deliberately not rushed here.


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.. include:: /_templates/include-file/footer/separator/tidal-gradient.rst

.. dropdown:: Notes
   :class-container: page-footer-form-notes
   :class-title: page-footer-form-title

   .. include:: /_templates/include-file/footer/page-footer-stability.rst


.. dropdown:: See also on Balospe.com
   :open:
   :class-container: page-footer-form-refs-internal
   :class-title: page-footer-form-title

   - :doc:`/study/matheo/index` --- the Matheo Study Series overview
   - :doc:`/action/audit-the-math/index` --- Audit the Math: the refutation-welcome path


.. only:: html

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   .. dropdown:: FF FeedbackFlow to improve this page: How you can contribute
      :class-container: page-footer-form-feedbackflow
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      .. include:: /_templates/include-file/footer/form-open-std/prelink.rst

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