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v2026.11,858 entries · CC-BY 4.0
NIKOLAI elementN4 · Claims and argumentProposednikolai-v0.1

Claim

NIKOLAI proposes to define a Claim as an atomic, identifiable assertion within a safety argument, carrying: its own supporting evidence, an optional link to a parent claim (for claims that are sub-claims of a broader argument), and an explicit aggregation rule describing how it combines with sibling claims under the same parent (e.g. conjunctive — combined strength is roughly the product of subclaim strengths; disjunctive; or convergent, where multiple independent lines of evidence support one conclusion without a strict logical operator). This operational definition is a NIKOLAI editorial proposal; it is not endorsed by, and does not purport to restate, any single cited source's own definition.

This is CASRAI's own proposed definition, not a definition any named organisation has agreed to. See what NIKOLAI is and is not.

Source of record

Where this definition comes from

Crosswalk

How named organisations use this concept

Every row below is a shadow mapping. It is CASRAI's own reading of a published document. No lab, evaluator or regulator named here has declared, endorsed, or been consulted on this mapping. That will change only when an organisation files its own Mapping Declaration — see the non-endorsement policy.
OrganisationTheir term, as publishedMatchSource
Anthropic
Anthropic Risk Report, August 2026
Eight numbered top-level claims; "Claim 1 (models lack strong covert capabilities) is load-bearing for Claims 2–5" (§2.7). Aggregation: "conjunctive ... a few are disjunctive ...; some are convergent" (§2.5).exact
confidence: high
Anthropic Risk Report, August 2026
OpenAI
OpenAI Preparedness Framework v2
Safeguard claims: "Robustness", "Usage Monitoring", "Trust-based Access" (malicious user) and "Lack of Autonomous Capability", "Value Alignment", "Instruction Alignment", "Reliable and Robust System Oversight", "System Architecture" (misaligned model) (App. C).close
confidence: high
OpenAI Preparedness Framework v2
Google DeepMind
Google DeepMind Frontier Safety Framework v3.1
"Safety Cases: are an assessable argument showing how severe risks associated with a model's CCLs have been reduced to an acceptable level." (glossary, p.20). Argument-level, not claim-level.broad
confidence: high
Google DeepMind Frontier Safety Framework v3.1
Meta
Meta Advanced AI Scaling Framework v2
"safety cases" are named for high-versus-critical determinations; no format given (§4.2.3).
Meta declares 'safety cases' as a trigger for high-vs-critical determinations but does not define the term's format, author, or reviewer -- recorded per the DU rule as a gap, not silently dropped.
none
confidence: medium
Meta Advanced AI Scaling Framework v2
UK AI Safety Institute (AISI)
UK AISI safety-case vocabulary (discovery)
UK AISI safety-case vocabulary: claims-arguments-evidence (CAE), GSN, inability argument (discovery) [UV].
Source-document citation tag is {DEU}, which does not appear in the supplied sources table (only {DEV}, a differently-scoped 'Discovery sweep' tag covering SFC/STREAM/AEF-1, is resolvable, and is not specific to UK AISI content). No URL for UK AISI's CAE/GSN/inability-argument material could be resolved without inventing one, so this row is left unverified with the citation url blank pending resolution of {DEU} (confirmed still open in ALIGNMENT-MATRIX.md §6 item 7: 'Not resolved this pass -- not attempted; still open'). Match type 'close' is inferred from context only (CAE explicitly includes 'claims') per the UV translation rule, not confirmed against primary text.
close
confidence: low
UK AISI safety-case vocabulary (citation tag {DEU} unresolved in sources table)
METR
METR
Frontier Risk Report claims labelled "by [their] importance to the conclusions of our assessment, from low to high importance".close
confidence: high
METR
Frontier Model Forum
Frontier Model Forum: Third-Party Assessments
"Holistic review ... examines the logical structure and evidentiary support for claims about model safety"; "Safety case analysis" inputs are "specific safety claims ..., supporting evidence from evaluations, underlying assumptions, and conditions under which claims hold valid" (2.3).close
confidence: high
Frontier Model Forum: Third-Party Assessments

Related, not mapped

Pointers that are not crosswalk claims

These sources mention this concept but do not define or map it clearly enough to count as a crosswalk row — noted here so the research is visible without overstating it as a mapping.

  • California SB 53

    RL — a truthfulness prohibition on statements about risk, not a definition or instance of a Claim record; recorded as a pointer, not a crosswalk mapping.

    California SB 53

Referenced across the research world

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