Pith Number

pith:AN4IXFBZ

pith:2024:AN4IXFBZYKSO7BPDI6YXE3MJNO

not attested not anchored not stored refs pending

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Chris Holmes, Ziyu Wang

arxiv:2406.05213 v2 · 2024-06-07 · cs.CL · cs.AI · cs.LG · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{AN4IXFBZYKSO7BPDI6YXE3MJNO}

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

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems

Concentration and Calibration in Predictive Bayesian Inference

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning

Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification

Receipt and verification

First computed	2026-07-05T09:22:19.035452Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

03788b9439c2a4ef85e347b1726d896b99ff56aed9bde8e2dfd607534d53e87c

Aliases

arxiv: 2406.05213 · arxiv_version: 2406.05213v2 · doi: 10.48550/arxiv.2406.05213 · pith_short_12: AN4IXFBZYKSO · pith_short_16: AN4IXFBZYKSO7BPD · pith_short_8: AN4IXFBZ

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/AN4IXFBZYKSO7BPDI6YXE3MJNO \
  | 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: 03788b9439c2a4ef85e347b1726d896b99ff56aed9bde8e2dfd607534d53e87c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "68b059f52c563e28d55ceb4c52922ca4adf3ab7d0b24f2354ca9317e8c35dae8",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-06-07T18:54:40Z",
    "title_canon_sha256": "e444fb199759d29c895ed9f5b83da275656018c1b149d5c7a3b46eb9fbbb6e37"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.05213",
    "kind": "arxiv",
    "version": 2
  }
}