Pith Number
pith:MXB5IFSP
pith:2024:MXB5IFSPQ74H3TTA2MLHPX5VM7
not attested
not anchored
not stored
refs pending
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
arxiv:2412.00323 v1 · 2024-11-30 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXB5IFSPQ74H3TTA2MLHPX5VM7}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:42:39.542141Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65c3d4164f87f87dce60d31677dfb567d3462614dee9fe957fd2fedfc59b6d30
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXB5IFSPQ74H3TTA2MLHPX5VM7 \
| 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: 65c3d4164f87f87dce60d31677dfb567d3462614dee9fe957fd2fedfc59b6d30
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "523ed3ce0c363ab1a5bc058c682b08867aca89840777de2e42332f4a5d71af25",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-30T02:37:59Z",
"title_canon_sha256": "136533fe2c84f2e96223a6f8594e647e9d811eaae1de732c51fca69aaff81cee"
},
"schema_version": "1.0",
"source": {
"id": "2412.00323",
"kind": "arxiv",
"version": 1
}
}