Pith Number

pith:RXZFZ5N3

pith:2026:RXZFZ5N3ESYVGGOJCSVPAVHINW

not attested not anchored not stored refs pending

Why Don't You Know? Evaluating the Impact of Uncertainty Sources on Uncertainty Quantification in LLMs

Daniil Orel, Fedor Chernogorskii, Maiya Goloburda, Maxim Panov, Nurkhan Laiyk, Preslav Nakov, Roman Vashurin

Uncertainty quantification methods for LLMs work only when uncertainty comes from knowledge gaps.

arxiv:2604.10495 v2 · 2026-04-12 · cs.CL

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\usepackage{pith}
\pithnumber{RXZFZ5N3ESYVGGOJCSVPAVHINW}

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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.

Claims

C1strongest claim

Our experiments reveal that while many UQ methods perform well when uncertainty stems solely from model knowledge limitations, their performance degrades or becomes misleading when other sources are introduced.

C2weakest assumption

The introduced dataset cleanly separates uncertainty sources without significant label overlap or confounding factors, enabling controlled isolation of each source's effect on UQ performance.

C3one line summary

UQ methods for LLMs perform reliably only when uncertainty comes from model knowledge limits; they degrade or mislead when uncertainty arises from output variability or input ambiguity.

Receipt and verification

First computed	2026-06-01T01:02:39.494519Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8df25cf5bb24b15319c914aaf054e86db099d37ac14007921c607d58d5613ceb

Aliases

arxiv: 2604.10495 · arxiv_version: 2604.10495v2 · doi: 10.48550/arxiv.2604.10495 · pith_short_12: RXZFZ5N3ESYV · pith_short_16: RXZFZ5N3ESYVGGOJ · pith_short_8: RXZFZ5N3

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/RXZFZ5N3ESYVGGOJCSVPAVHINW \
  | 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: 8df25cf5bb24b15319c914aaf054e86db099d37ac14007921c607d58d5613ceb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "894d519a90d57075d4a854cde420946df034c21aa770b37cb5d31ff32abda9c0",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-12T07:01:53Z",
    "title_canon_sha256": "7e608a9552dec70ce03be97dabeafa8fa001d42d473509ec005ec424e2d925df"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.10495",
    "kind": "arxiv",
    "version": 2
  }
}