Pith Number
pith:Q57JLP7E
pith:2024:Q57JLP7EKBSBYKZKBWP7ANMAM4
not attested
not anchored
not stored
refs pending
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
arxiv:2402.13213 v4 · 2024-02-20 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q57JLP7EKBSBYKZKBWP7ANMAM4}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T11:49:45.108874Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
877e95bfe450641c2b2a0d9ff035806732542746e85ea6e31313bbd36c0dc07c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q57JLP7EKBSBYKZKBWP7ANMAM4 \
| 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: 877e95bfe450641c2b2a0d9ff035806732542746e85ea6e31313bbd36c0dc07c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c01b43d6776eba0485cc1632daedb78e483fb058afa384c775c716956f492e76",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-20T18:24:47Z",
"title_canon_sha256": "a2d422f860b006bddd838cb265bb1717daa887c1c7a67cf74b9ba303ef676275"
},
"schema_version": "1.0",
"source": {
"id": "2402.13213",
"kind": "arxiv",
"version": 4
}
}