Pith Number

pith:DP2SXSCS

pith:2025:DP2SXSCSVE2PZYJ27ZW7RCZK2I

not attested not anchored not stored refs pending

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests

Alexandra Yost, Allen Roush, Amirali Abdullah, Grant Corser, Jacqueline Hammack, Nina Xu, Ravid Shwartz-Ziv, Shivam Raval, Shreyans Jain

Situational judgment tests combined with multidimensional item response theory extract stable latent behavioral tendencies from persona-conditioned large language models.

arxiv:2510.22170 v3 · 2025-10-25 · cs.AI

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\usepackage{pith}
\pithnumber{DP2SXSCSVE2PZYJ27ZW7RCZK2I}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

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4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Persona-conditioned behaviors are stable across runs, latent trait scores predict external benchmarks (e.g., TruthfulQA, EmoBench), and MIRT reveals consistent latent structure.

C2weakest assumption

That responses to situational judgment tests can be treated as observations of stable latent behavioral variables in LLMs rather than prompt-dependent or superficial patterns.

C3one line summary

Proposes SJTs and MIRT to measure consistent latent behavioral tendencies in LLMs, showing stability and predictive validity on external benchmarks.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-07-30T01:19:15.242007Z
Builder	pith-number-builder-2026-05-17-v1
Signature	unsigned_v0
Schema	pith-number/v1.0

Canonical hash

1bf52bc852a934fce13afe6df88b2ad23a6d96bc54357e2e07f21a99fb59e1b5

Aliases

arxiv: 2510.22170 · arxiv_version: 2510.22170v3 · doi: 10.48550/arxiv.2510.22170 · pith_short_12: DP2SXSCSVE2P · pith_short_16: DP2SXSCSVE2PZYJ2 · pith_short_8: DP2SXSCS

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DP2SXSCSVE2PZYJ27ZW7RCZK2I \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1bf52bc852a934fce13afe6df88b2ad23a6d96bc54357e2e07f21a99fb59e1b5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "57c76391ff39adb2728e1173ffc594c3c2d088bef551084767ac120cf583701a",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-10-25T05:45:10Z",
    "title_canon_sha256": "2e3648f1a9798797790b145e87802116eed64f56e42beeb3158815142929d85b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2510.22170",
    "kind": "arxiv",
    "version": 3
  }
}