Pith Number
pith:FNQYCEDC
pith:2024:FNQYCEDCE4Y567NUTIZ6WLCANL
not attested
not anchored
not stored
refs pending
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
arxiv:2410.22685 v1 · 2024-10-30 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FNQYCEDCE4Y567NUTIZ6WLCANL}
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 | 2026-07-05T09:28:20.183414Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b618110622731df7db49a33eb2c406afe7bcb071ead87b55597f489d15539db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNQYCEDCE4Y567NUTIZ6WLCANL \
| 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: 2b618110622731df7db49a33eb2c406afe7bcb071ead87b55597f489d15539db
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e247bd87e99d3f61a20123bd62d579e1f4dbc19ab1b7acfcbc7ef6bf1805bb7c",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-30T04:41:46Z",
"title_canon_sha256": "285526beef4c4ca6bd66e0298312fe0a272360c39f4ba97c93913bc7f63a717b"
},
"schema_version": "1.0",
"source": {
"id": "2410.22685",
"kind": "arxiv",
"version": 1
}
}