Pith Number
pith:SLGNZQG4
pith:2024:SLGNZQG4CCX7JTZVSEIWG2HAQA
not attested
not anchored
not stored
refs pending
Structured Partial Stochasticity in Bayesian Neural Networks
arxiv:2405.17666 v2 · 2024-05-27 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SLGNZQG4CCX7JTZVSEIWG2HAQA}
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 | 2026-07-05T08:39:00.257507Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92ccdcc0dc10aff4cf3591116368e0802134d0ba02c9a65912c29773025c3a24
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SLGNZQG4CCX7JTZVSEIWG2HAQA \
| 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: 92ccdcc0dc10aff4cf3591116368e0802134d0ba02c9a65912c29773025c3a24
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0bb0e4f52f1b1dda5458fda0bfed551ec356032922716f9c9a5e5b51d0e4e7e6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-05-27T21:40:31Z",
"title_canon_sha256": "fda182ed74bbc55b8776bb8d10aa6c0a30f0987c68edd7c02d9d062837b1be0e"
},
"schema_version": "1.0",
"source": {
"id": "2405.17666",
"kind": "arxiv",
"version": 2
}
}