Pith Number
pith:BX7JWWOZ
pith:2015:BX7JWWOZ7ZTJSTVHCFDM5CTQLU
not attested
not anchored
not stored
refs pending
Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling
arxiv:1501.04370 v1 · 2015-01-19 · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BX7JWWOZ7ZTJSTVHCFDM5CTQLU}
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 | 2026-05-18T02:29:09.227403Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dfe9b59d9fe66994ea71146ce8a705d06b1008cc2938954f65d54d3c47ac995
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BX7JWWOZ7ZTJSTVHCFDM5CTQLU \
| 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: 0dfe9b59d9fe66994ea71146ce8a705d06b1008cc2938954f65d54d3c47ac995
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "730c2db2563a20722cbfd2e5ce2de155c9b214cb6a4b380339a47cc9ff1b1ee8",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2015-01-19T01:32:43Z",
"title_canon_sha256": "e2590c50d177062aa12bbdcbb0c3e0c61cf722ded27111063e2e04e813bde1a5"
},
"schema_version": "1.0",
"source": {
"id": "1501.04370",
"kind": "arxiv",
"version": 1
}
}