Pith Number
pith:3EQ7MLOC
pith:2026:3EQ7MLOC4RV3MQCFBAP42EF7CX
not attested
not anchored
not stored
refs pending
Can We Trust Item Response Theory for AI Evaluation?
arxiv:2607.15190 v1 · 2026-07-16 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3EQ7MLOC4RV3MQCFBAP42EF7CX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
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.
Receipt and verification
| First computed | 2026-07-17T01:22:13.604946Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d921f62dc2e46bb64045081fcd10bf15ff3ca6a819c0474c285369775ca6efa7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3EQ7MLOC4RV3MQCFBAP42EF7CX \
| 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: d921f62dc2e46bb64045081fcd10bf15ff3ca6a819c0474c285369775ca6efa7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3c54274aded803830a79cab6e31844fb7ca989903c8b98530535dba3aff104c6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-16T16:44:40Z",
"title_canon_sha256": "655e65df71376c05cc6f46cf05972907e55f59e8b12dcfdbc89d18d67f0d1131"
},
"schema_version": "1.0",
"source": {
"id": "2607.15190",
"kind": "arxiv",
"version": 1
}
}