Pith Number
pith:GQ32VBEB
pith:2026:GQ32VBEBYTK2GFNHVHPY5FW4J3
not attested
not anchored
not stored
refs pending
TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
arxiv:2606.03036 v1 · 2026-06-02 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQ32VBEBYTK2GFNHVHPY5FW4J3}
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 | 2026-06-03T01:05:29.886642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3437aa8481c4d5a315a7a9df8e96dc4efd02c1633b79f5c2c4a086d21e99dd8a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQ32VBEBYTK2GFNHVHPY5FW4J3 \
| 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: 3437aa8481c4d5a315a7a9df8e96dc4efd02c1633b79f5c2c4a086d21e99dd8a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "66ca38123eaded1de40a93210dcbda032ceb4cf245b22c84abadf77ea1dd42b8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-06-02T02:21:38Z",
"title_canon_sha256": "8d645d3e5688d8902f66ac5da0eb8042efb7831a1992d61bd756d420740a6c86"
},
"schema_version": "1.0",
"source": {
"id": "2606.03036",
"kind": "arxiv",
"version": 1
}
}