Pith Number
pith:VZZMNIMN
pith:2025:VZZMNIMNNPE4FNTIGPAZNF26OY
not attested
not anchored
not stored
refs pending
Compact Bayesian Neural Networks via pruned MCMC sampling
arxiv:2501.06962 v1 · 2025-01-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VZZMNIMNNPE4FNTIGPAZNF26OY}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Receipt and verification
| First computed | 2026-07-05T10:00:13.012158Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ae72c6a18d6bc9c2b66833c196975e762650e070fc1e276066c2f8b9b53be75a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VZZMNIMNNPE4FNTIGPAZNF26OY \
| 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: ae72c6a18d6bc9c2b66833c196975e762650e070fc1e276066c2f8b9b53be75a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "998027766b6893680dbcdc0d2eb7a97e65b0529e5a2a65adcbe02e1d9befbe8b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-12T22:48:04Z",
"title_canon_sha256": "5319b4d3de1df5b06451e2e79677eb6639f31bb156145195f5f8a8c8289365f5"
},
"schema_version": "1.0",
"source": {
"id": "2501.06962",
"kind": "arxiv",
"version": 1
}
}