Pith Number

pith:RHBE5DU4

pith:2026:RHBE5DU4JD6RIXAS5G4SUULJVR

not attested not anchored not stored refs pending

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy

Hamed Karimi, Reza Samavi, Vaishali Meyappan

Adaptive Conformal Semantic Entropy quantifies LLM prompt uncertainty by clustering responses according to semantic similarity and applies conformal calibration to bound error rates on accepted outputs.

arxiv:2605.04295 v2 · 2026-05-05 · cs.LG · cs.AI

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\pithnumber{RHBE5DU4JD6RIXAS5G4SUULJVR}

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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

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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.

Claims

C1strongest claim

Our uncertainty scoring function is based on clustering semantic entropy of multiple diverse responses to the same prompt. The function adaptively adjusts the uncertainty score based on semantic features of each cluster. ... providing a finite-sample, distribution-free guarantee such that the error rate among the accepted responses remains bounded by a user-specified tolerance.

C2weakest assumption

That clustering responses by semantic similarity reliably captures meaningful dispersion in model knowledge and that the adaptive adjustment based on cluster features produces a valid uncertainty score without introducing bias or requiring post-hoc tuning that violates the conformal guarantees.

C3one line summary

ACSE estimates LLM prompt uncertainty via adaptive clustering of semantic entropy across multiple responses and uses conformal prediction to bound error rates on accepted answers with distribution-free guarantees.

Formal links

3 machine-checked theorem links

Receipt and verification

First computed	2026-05-26T01:03:32.190496Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

89c24e8e9c48fd145c12e9b92a5169ac54d28388c9f92ce0ec352cbe34c7955b

Aliases

arxiv: 2605.04295 · arxiv_version: 2605.04295v2 · doi: 10.48550/arxiv.2605.04295 · pith_short_12: RHBE5DU4JD6R · pith_short_16: RHBE5DU4JD6RIXAS · pith_short_8: RHBE5DU4

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RHBE5DU4JD6RIXAS5G4SUULJVR \
  | 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: 89c24e8e9c48fd145c12e9b92a5169ac54d28388c9f92ce0ec352cbe34c7955b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b0ef9f41af2f2e404073e05914451f736751204d312eaa4a2421005b50a01269",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-05T20:56:11Z",
    "title_canon_sha256": "76d646375a31632b0c19caf97e7fc223289d983780a1972fd34f85a8b9d3e67b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04295",
    "kind": "arxiv",
    "version": 2
  }
}