Pith Number
pith:N26QIUDJ
pith:2025:N26QIUDJE4DGZQB25XJ6FAT766
not attested
not anchored
not stored
refs pending
Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making
arxiv:2507.10124 v1 · 2025-07-14 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N26QIUDJE4DGZQB25XJ6FAT766}
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 | 2026-07-05T11:36:45.484344Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ebd04506927066cc03aedd3e2827ff7be50db4cdaa7f0e0a1aeabf7e3ece900
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N26QIUDJE4DGZQB25XJ6FAT766 \
| 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: 6ebd04506927066cc03aedd3e2827ff7be50db4cdaa7f0e0a1aeabf7e3ece900
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7fc33e80ceafcb7598c23e3e29d3a5d589b303eb4e6c1009e25804b6f404e87",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-14T10:09:46Z",
"title_canon_sha256": "95c315f6305fc4b647a17d27c4eca306afd7fbfcd25db0f22aa63bd67efe6ec0"
},
"schema_version": "1.0",
"source": {
"id": "2507.10124",
"kind": "arxiv",
"version": 1
}
}