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v2026.11,858 entries · CC-BY 4.0
NIKOLAI elementN1 · Actors, models and scopeProposednikolai-v0.1

Model identifier

NIKOLAI proposal (unsourced): a persistent identifier for a specific model version or checkpoint that an assessment, safeguard or incident refers to, together with a rule for which modifications keep the identifier stable versus require a new one. No source in this crosswalk publishes a machine-resolvable identifier scheme; NIKOLAI's contribution would be to formalize the two identity rules that do exist (Google DeepMind's "same foundational training run" test and Meta's non-material-modification inheritance rule) into a reusable field.

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. A shadow row is CASRAI's own reading of a published document. No lab, evaluator or regulator named on a shadow row has declared, endorsed, or been consulted on it. That changes only when an organisation files its own Mapping Declaration.
OrganisationTheir term, as publishedMatch & verificationSource
AnthropicShadow mapping
Risk Report
"Covered models": the models an assessment section focuses on; in §2 these are "Claude Mythos 5 and Model 2" (para., §2.3). The source brief finds "No identifiers for anything" in the report.narrowNR
confidence: medium
Anthropic Risk Report, August 2026
OpenAIShadow mapping
Hugging Face incident writeup / GPT-5.6 model card
Pseudonymous internal model: "an internal-only research model that we will call Internal Model 1 (IM1)". Product tiers named Sol, Terra and Luna in the GPT-5.6 card.narrowNR
confidence: medium
OpenAI, "Hugging Face incident and the road ahead"
Google DeepMindShadow mapping
Frontier Safety Framework v3.1
Identity rule: "we consider checkpoints and versions the same model if their base capabilities stem primarily from the same foundational training run, but will conduct additional testing on new versions as specified in Section 1.3" (FSF glossary, p.18).
Falls under the "checkpoint" false-friend label: here it denotes a lifecycle version, distinct from Amodei's policy-rule sense or OpenAI's training-checkpoint sense of the same word.
closeCL
confidence: high
Google DeepMind Frontier Safety Framework v3.1
xAIShadow mapping
Grok 4.6 / Grok 4.20 model cards
"Unless stated otherwise, evaluation results are on the final deployed checkpoint of Grok 4.6." (§1.1, p.5). Grok 4.20 modes: "single-agent (Grok 4.2 SA) or multi-agent (Grok 4.2 MA)" (S1).narrowNR
confidence: medium
Grok 4.6 model card
MetaShadow mapping
Advanced AI Scaling Framework v2
"Asset": "the version of the model that we will test" (§4.2, p.26). Inheritance rule: non-material modifications "are presumed to inherit the same risk threshold as the underlying model" (§3.3.1, p.17).closeCL
confidence: high
Meta Advanced AI Scaling Framework v2
California SB 53Shadow mapping
SB 53 statute text
"a new frontier model or a substantially modified version of an existing frontier model" (22757.12(c)(1)). This is a class definition, not an identifier, and "substantially modified" is left undefined.broadBR
confidence: medium
California SB 53
US Government (Executive Order 14409)Shadow mapping
Executive Order 14409
"covered frontier model", designated "for the purposes of this order" by the Director of NSA (Sec. 3(a)). A designation class, not an identifier.broadBR
confidence: medium
Executive Order 14409
What do these codes mean?
exact
The source term is equivalent to this element
close
The source term is close but not equivalent to this element
broad
The source term is broader than this element
narrow
The source term is narrower than this element
none
No mapping claim — used for false-friend and declared-but-undefined rows
EQ
Equivalent
CL
Close
BR
Source is broader than the element
NR
Source is narrower than the element
FF
False friend — same or similar label, different meaning
DU
Declared but undefined by the source
UV
Unverified

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.

Divergence

Where sources materially disagree

"Checkpoint" is a false-friend label across this corpus (see source §4): a policy rule in Amodei's own essay, a training checkpoint in OpenAI's Preparedness Framework, a lifecycle checkpoint/version in GDM and xAI (as used in this element's rows), and the first stage of a two-stage Loss of Control evaluation in Meta's framework. NIKOLAI should not conflate these uses under one term.

Gap

No source publishes a machine-resolvable model identifier. GDM's "same foundational training run" rule and Meta's inheritance rule are the two existing identity rules and should be crosswalked explicitly.

Referenced across the research world

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  • University College London logo
  • ORCID logo

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