Pith Number
pith:ITQSRA7U
pith:2023:ITQSRA7U2Z6FQ32HUCNE5UCZB5
not attested
not anchored
not stored
refs pending
Challenging the appearance of machine intelligence: Cognitive bias in LLMs and Best Practices for Adoption
arxiv:2304.01358 v3 · 2023-04-03 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ITQSRA7U2Z6FQ32HUCNE5UCZB5}
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 | 2026-07-05T06:45:35.067067Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44e12883f4d67c586f47a09a4ed0590f4c8cd4647807806b3c30db16df276ec3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ITQSRA7U2Z6FQ32HUCNE5UCZB5 \
| 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: 44e12883f4d67c586f47a09a4ed0590f4c8cd4647807806b3c30db16df276ec3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c1877e2088906a691fb01e7244e6f82159eee3d4424fcb06f92682de3f94b5a0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2023-04-03T20:30:59Z",
"title_canon_sha256": "07ff1711ca36ea0c4311d84125a045c9e4eb66d0e025f7612dfd426b5bbf889e"
},
"schema_version": "1.0",
"source": {
"id": "2304.01358",
"kind": "arxiv",
"version": 3
}
}