Pith Number

pith:LEKBR5LZ

pith:2024:LEKBR5LZ3IP3KI7Z6SYAIUSUFX

not attested not anchored not stored refs pending

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Aleksandr Rubashevskii, Alexander Panchenko, Artem Shelmanov, Ekaterina Fadeeva, Evgenii Tsymbalov, Gleb Kuzmin, Hamdy Mubarak, Haonan Li, Maxim Panov, Preslav Nakov, Sergey Petrakov, Timothy Baldwin

arxiv:2403.04696 v2 · 2024-03-07 · cs.CL · cs.AI · cs.LG

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\usepackage{pith}
\pithnumber{LEKBR5LZ3IP3KI7Z6SYAIUSUFX}

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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

11 papers in Pith

The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models

Can LLMs Make (Personalized) Access Control Decisions?

Receipt and verification

First computed	2026-07-05T08:28:39.364134Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

591418f579da1fb523f9f4b00452542df9f498728d0dac0ef405a7ae82d8dea1

Aliases

arxiv: 2403.04696 · arxiv_version: 2403.04696v2 · doi: 10.48550/arxiv.2403.04696 · pith_short_12: LEKBR5LZ3IP3 · pith_short_16: LEKBR5LZ3IP3KI7Z · pith_short_8: LEKBR5LZ

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/LEKBR5LZ3IP3KI7Z6SYAIUSUFX \
  | 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: 591418f579da1fb523f9f4b00452542df9f498728d0dac0ef405a7ae82d8dea1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fccc5687d8d2443a9f160e87e594fc787d1c99978e95e7e02bb219ca89a46c2f",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-03-07T17:44:17Z",
    "title_canon_sha256": "e56a79936056095339773806d4d4b57c084ebe125960064a7b3ce6dc00f3626c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.04696",
    "kind": "arxiv",
    "version": 2
  }
}