Pith Number
pith:BS5GWIAQ
pith:2025:BS5GWIAQIIZBXMNAF5T42RHB4D
not attested
not anchored
not stored
refs pending
Can Bayesian Neural Networks Make Confident Predictions?
arxiv:2501.11773 v1 · 2025-01-20 · stat.ML · cs.LG · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BS5GWIAQIIZBXMNAF5T42RHB4D}
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.
Receipt and verification
| First computed | 2026-07-05T10:03:13.572434Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0cba6b201042321bb1a02f67cd44e1e0d4747710136ab8e8a064f0d501925b40
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BS5GWIAQIIZBXMNAF5T42RHB4D \
| 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: 0cba6b201042321bb1a02f67cd44e1e0d4747710136ab8e8a064f0d501925b40
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "132b6a7ae7f732ef9436e2d9cba0392519b5c019c494b869dde15173847ba70a",
"cross_cats_sorted": [
"cs.LG",
"math.ST",
"stat.TH"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-01-20T22:36:28Z",
"title_canon_sha256": "c91308d43f3d8a81dec93942ec0c7e11fe2261339fa3b040b2beef03d5bf0f8d"
},
"schema_version": "1.0",
"source": {
"id": "2501.11773",
"kind": "arxiv",
"version": 1
}
}