Pith Number
pith:DYH4MW72
pith:2025:DYH4MW726ZT73NENHVNILCEUHJ
not attested
not anchored
not stored
refs pending
Implicit Bias in LLMs: A Survey
arxiv:2503.02776 v1 · 2025-03-04 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYH4MW726ZT73NENHVNILCEUHJ}
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
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:24:13.665897Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e0fc65bfaf667fdb48d3d5a8588943a764eb1f1ea1cc94ea61f4476bbd99c6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYH4MW726ZT73NENHVNILCEUHJ \
| 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: 1e0fc65bfaf667fdb48d3d5a8588943a764eb1f1ea1cc94ea61f4476bbd99c6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce4ae87777548c3fa3545a51a2a5540cf96140453b255e44165e382ac172f647",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-03-04T16:49:37Z",
"title_canon_sha256": "21caa0bff509f1857eba4c457aafc3c6e79ff6466e79e081a2162d4abe4a4250"
},
"schema_version": "1.0",
"source": {
"id": "2503.02776",
"kind": "arxiv",
"version": 1
}
}