Pith. sign in
Pith Number

pith:Y5TO7FAJ

pith:2023:Y5TO7FAJHUOZFHJYNGVIEZORUK
not attested not anchored not stored refs pending

Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis

Li Du, Xiang Li, Xingrun Xing, Xin Jiang, Xuezhi Fang, Yequan Wang, Yiqun Ya

arxiv:2309.05217 v1 · 2023-09-11 · cs.AI · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y5TO7FAJHUOZFHJYNGVIEZORUK}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T06:49:32.284945Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c766ef94093d1d929d3869aa8265d1a296af9e0dd371f4c0b70057cf9c6a19ce

Aliases

arxiv: 2309.05217 · arxiv_version: 2309.05217v1 · doi: 10.48550/arxiv.2309.05217 · pith_short_12: Y5TO7FAJHUOZ · pith_short_16: Y5TO7FAJHUOZFHJY · pith_short_8: Y5TO7FAJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y5TO7FAJHUOZFHJYNGVIEZORUK \
  | 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: c766ef94093d1d929d3869aa8265d1a296af9e0dd371f4c0b70057cf9c6a19ce
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "66b353b3c9011bf837e91af3fbf5bfdc73165f6ae879655e96f5950c016e06f7",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-09-11T03:35:00Z",
    "title_canon_sha256": "ce59bf942d6dd6aa15639b2a5052fa3d8badfcffbc5350355125d18dcdb6d280"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.05217",
    "kind": "arxiv",
    "version": 1
  }
}