Pith Number
pith:YO66GPDN
pith:2023:YO66GPDNNE5ZSEGHPIJUDCJ5Y6
not attested
not anchored
not stored
refs pending
Reducing LLM Hallucinations using Epistemic Neural Networks
arxiv:2312.15576 v1 · 2023-12-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YO66GPDNNE5ZSEGHPIJUDCJ5Y6}
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 | 2026-07-05T07:27:58.283646Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3bde33c6d693b9910c77a1341893dc7a13cfe766e19c102baf28d1a9c82827c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YO66GPDNNE5ZSEGHPIJUDCJ5Y6 \
| 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: c3bde33c6d693b9910c77a1341893dc7a13cfe766e19c102baf28d1a9c82827c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fa5e9a240782144ce9093a79c7a0760e66968f668bd241ea47af110b9d1be5fc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-12-25T01:17:01Z",
"title_canon_sha256": "988ba22f5d623b503e8df045b2075a3c2d47caa4b26b74880522ca74e15683f3"
},
"schema_version": "1.0",
"source": {
"id": "2312.15576",
"kind": "arxiv",
"version": 1
}
}