Pith Number

pith:H7IOBD4N

pith:2025:H7IOBD4NK7C5XIYRBNSYJZN5BZ

not attested not anchored not stored refs pending

Estimating LLM Uncertainty with Evidence

Changqing Zhang, Guangyu Wang, Huan Ma, Jingdong Chen, Joey Tianyi Zhou

arxiv:2502.00290 v5 · 2025-02-01 · cs.CL · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{H7IOBD4NK7C5XIYRBNSYJZN5BZ}

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

12 papers in Pith

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data

Uncertainty Quantification for Flow-Based Vision-Language-Action Models

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems

Receipt and verification

First computed	2026-07-05T11:00:41.911267Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3fd0e08f8d57c5dba3110b6584e5bd0e42ac56c2a5a95da892b13801c85739e2

Aliases

arxiv: 2502.00290 · arxiv_version: 2502.00290v5 · doi: 10.48550/arxiv.2502.00290 · pith_short_12: H7IOBD4NK7C5 · pith_short_16: H7IOBD4NK7C5XIYR · pith_short_8: H7IOBD4N

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/H7IOBD4NK7C5XIYRBNSYJZN5BZ \
  | 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: 3fd0e08f8d57c5dba3110b6584e5bd0e42ac56c2a5a95da892b13801c85739e2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b384ebac23edb0209db4b6fb01b52bcabb50a1582c87d0c45ca7663377160aa8",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-02-01T03:18:02Z",
    "title_canon_sha256": "d97c9c26c1a732283fbc61928fbf091a2ada87addb0b2ea53629d1d1a9a8a301"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.00290",
    "kind": "arxiv",
    "version": 5
  }
}