Pith Number
pith:FM7AY46Q
pith:2024:FM7AY46QVY2A7BEOLL7WIIUGIN
not attested
not anchored
not stored
refs pending
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
arxiv:2402.11025 v1 · 2024-02-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FM7AY46QVY2A7BEOLL7WIIUGIN}
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
✓
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 | 2026-07-05T07:46:32.743080Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b3e0c73d0ae340f848e5aff6422864376b11c5f4634069aa2445013914aa536
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FM7AY46QVY2A7BEOLL7WIIUGIN \
| 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: 2b3e0c73d0ae340f848e5aff6422864376b11c5f4634069aa2445013914aa536
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b150df13df2975ebf16ec29dd014f2822aaeadccb65a9eed9cc3844785936019",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-16T19:15:49Z",
"title_canon_sha256": "12d32a428f93b1643b2082294a8891e4597a8302d69f1cb5840000900fa5e99a"
},
"schema_version": "1.0",
"source": {
"id": "2402.11025",
"kind": "arxiv",
"version": 1
}
}