Pith Number
pith:YIOH4XHQ
pith:2025:YIOH4XHQB6NUQVT2ZNUXDBATW4
not attested
not anchored
not stored
refs pending
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization
arxiv:2505.23753 v1 · 2025-05-29 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YIOH4XHQB6NUQVT2ZNUXDBATW4}
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 | 2026-07-05T11:12:13.663041Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c21c7e5cf00f9b48567acb69718413b719b531ff09c82f727adeafce78787aeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YIOH4XHQB6NUQVT2ZNUXDBATW4 \
| 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: c21c7e5cf00f9b48567acb69718413b719b531ff09c82f727adeafce78787aeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27aca592398ebe00e58e0f8a26e22445b12fdf680d970e6558aef9d2d2243e8d",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2025-05-29T17:59:39Z",
"title_canon_sha256": "9d755e801f6953956d62392eb3ed62392090f73e0b4b911be881f78204ed1e50"
},
"schema_version": "1.0",
"source": {
"id": "2505.23753",
"kind": "arxiv",
"version": 1
}
}