Pith Number
pith:ESWNYZEZ
pith:2024:ESWNYZEZHPIIFSUQXFEKLHOABM
not attested
not anchored
not stored
refs pending
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences
arxiv:2412.11344 v1 · 2024-12-16 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ESWNYZEZHPIIFSUQXFEKLHOABM}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T09:49:31.002148Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
24acdc64993bd082ca90b948a59dc00b371381d9669e114500b1cb73181376a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ESWNYZEZHPIIFSUQXFEKLHOABM \
| 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: 24acdc64993bd082ca90b948a59dc00b371381d9669e114500b1cb73181376a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49e98863ac95f715d1486a35850c6a9dd797af7057fef8c1f6430778a26aca6f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-16T00:02:38Z",
"title_canon_sha256": "c488728b6a73c177149e88d55042c6b7db79a134f1d5e9b225c357795842eac4"
},
"schema_version": "1.0",
"source": {
"id": "2412.11344",
"kind": "arxiv",
"version": 1
}
}