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Research journeys · Record 003

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

How can AI-assisted claims remain connected to evidence, analysis, human authorisation, the presented surface and later corrections? This public preprint develops and examines a protocol candidate for that question.

Torsten Olivi Tiltack et al. · PhD Candidate at UTS

Read the preprintUnderstand the approach
Status
Preprint · not peer reviewed
Version
v1 · 15 September 2026
Subjects
cs.AI · cs.CR · cs.CY

The question behind it

A publication should remain independently challengeable.

The preprint starts from a problem: AI-assisted claims can appear authoritative when evidence, analysis, human authorisation, presentation and correction history refer to different states.

It develops Publication Authority and instantiates it in PAC-2026, a machine-readable AIJIM protocol candidate. This record keeps the public status distinct from later peer review or field validation.

Understand the approach

Six bound obligations

The abstract describes six obligations of the fourth bounded semantic freeze (SF-4). This list follows the original source and adds no normative force of its own.

  1. 01

    Evidence

    Evidence is bound to the state being examined.

  2. 02

    Runs & artefacts

    Runs and artefacts remain part of the check.

  3. 03

    Measurement

    Measurement and its disclosure are included.

  4. 04

    Authorisation

    Authorisation remains a distinct, human-bound check.

  5. 05

    Surface correspondence

    The presented surface must correspond to the accepted record.

  6. 06

    Lifecycle continuity

    Correction and lifecycle information remain connected.

Abstract on arXiv

What the preprint reports

Bounded internal evidence, not a universal result.

The abstract reports results for the models, adversarial cases, finite models and historical implementations studied. The figures below are taken from the public preprint; they were not rerun or independently recalculated for this record.

Explore the reported internal results
models explored
10
safe reachable states
110,764
unsafe configurations producing the expected violation or countermodel
76
scored expectations in the instance-blind test
183
archived observations in the same-host package run
240

The abstract says these results support internal coherence, bounded safety, fault sensitivity and limited constructibility. They do not establish factual truth, general refinement, blind interoperability, field efficacy or standards status.

Source: public arXiv abstract

Where to go from here

The specification follows the reference model.

The preprint is its own public research state. It remains distinct from the published BIS reference-model paper, software artefacts and any later independent or field-oriented validation.

Read the original

The public preprint.

Version v1 remains linked as the exact arXiv object. The arXiv label ‘Preprint; not peer-reviewed’ is part of the public context.

  1. 01

    Preprint · not peer reviewed

    Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

    Torsten Olivi Tiltack et al. · arXiv:2609.17631v1 · cs.AI, cs.CR, cs.CY

    Submitted 15 September 2026 · DOI 10.48550/arXiv.2609.17631

    Read the preprint on arXiv

Cite this work

Version v1 is available as BibTeX and RIS with its DOI, arXiv identifier and preprint status.

Download BibTeXDownload RIS

Take another look

A preprint is a visible interim state.

Later versions, corrections and a personal reflection will have a visible place here. Until then, the current state remains explicitly v1 and not peer reviewed.

  • Which objections would change the specification or its boundaries?
  • What evidence would be needed for independent reproduction?
  • Which validation remains outside this preprint?
Personal reflection to follow

Public arXiv metadata, abstract, version and status linked. Reported internal results kept distinct from general efficacy or truth claims.

The work remains challengeable.

Further research records show what each source supports — and what it leaves open.

Explore the sources