Pith Number
pith:JCUVMO4O
pith:2023:JCUVMO4OYKB4MZRY2ZIAIQNCKO
not attested
not anchored
not stored
refs pending
Can AI Mitigate Human Perceptual Biases? A Pilot Study
arxiv:2311.00706 v1 · 2023-10-10 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JCUVMO4OYKB4MZRY2ZIAIQNCKO}
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 | 2026-07-05T07:08:14.237291Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48a9563b8ec283c66638d6500441a253a0783d8ff41dbabd1f413fa4bd211931
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JCUVMO4OYKB4MZRY2ZIAIQNCKO \
| 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: 48a9563b8ec283c66638d6500441a253a0783d8ff41dbabd1f413fa4bd211931
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f173e002c4501b55385b97c04a2a517f3d10e26a6b5396ab2f354236cc980930",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2023-10-10T21:35:15Z",
"title_canon_sha256": "007a22054a456b2bd8df454ae2ea47d63bcbf33050b9d3eda640320a274ec89a"
},
"schema_version": "1.0",
"source": {
"id": "2311.00706",
"kind": "arxiv",
"version": 1
}
}