Pith Number

pith:FZVJXHJB

pith:2025:FZVJXHJBQLJTW6QTHTS7MLUMYK

not attested not anchored not stored refs pending

Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads

Alexander Panchenko, Artem Shelmanov, Artem Vazhentsev, Ekaterina Fadeeva, Gleb Kuzmin, Ivan Lazichny, Lyudmila Rvanova, Maxim Panov, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin

arxiv:2505.20045 v3 · 2025-05-26 · cs.CL

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{FZVJXHJBQLJTW6QTHTS7MLUMYK}

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

5 papers in Pith

Evolutionary Search for Automated Design of Uncertainty Quantification Methods

Uncertainty Propagation in LLM-Based Systems

How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models

Receipt and verification

First computed	2026-06-19T16:11:11.004791Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2e6a9b9d2182d33b7a133ce5f62e8cc29cfd42276581791799fae2faffa2f212

Aliases

arxiv: 2505.20045 · arxiv_version: 2505.20045v3 · doi: 10.48550/arxiv.2505.20045 · pith_short_12: FZVJXHJBQLJT · pith_short_16: FZVJXHJBQLJTW6QT · pith_short_8: FZVJXHJB

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FZVJXHJBQLJTW6QTHTS7MLUMYK \
  | 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: 2e6a9b9d2182d33b7a133ce5f62e8cc29cfd42276581791799fae2faffa2f212

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d49a220d747a704f920302c7c45d9d5e27dd385a3a7ff40c6337c2566e47af09",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-05-26T14:28:37Z",
    "title_canon_sha256": "1b80c83cc34ee79038e3a1229b2e6942110fad33b8f9a5a447732625490134ba"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.20045",
    "kind": "arxiv",
    "version": 3
  }
}