Pith. sign in
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

Cecile Paris, Harrison Bailey, Melanie McGrath, Necva B\"ol\"uc\"u, Sarvnaz Karimi, Xiang Dai

arxiv:2412.11344 v1 · 2024-12-16 · cs.CL · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ESWNYZEZHPIIFSUQXFEKLHOABM}

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2412.11344 · arxiv_version: 2412.11344v1 · doi: 10.48550/arxiv.2412.11344 · pith_short_12: ESWNYZEZHPII · pith_short_16: ESWNYZEZHPIIFSUQ · pith_short_8: ESWNYZEZ
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
  }
}