Pith Number
pith:25ZOCJUX
pith:2017:25ZOCJUXRLIG7E7XRJU4QOMHWQ
not attested
not anchored
not stored
refs pending
Entropy-based Pruning for Learning Bayesian Networks using BIC
arxiv:1707.06194 v1 · 2017-07-19 · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{25ZOCJUXRLIG7E7XRJU4QOMHWQ}
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 | 2026-05-18T00:39:57.318431Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d772e126978ad06f93f78a69c83987b43ce000879a131c297d3fc504f645d20d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/25ZOCJUXRLIG7E7XRJU4QOMHWQ \
| 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: d772e126978ad06f93f78a69c83987b43ce000879a131c297d3fc504f645d20d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc6ac64a7f2e6a537dd7f5ee4a38b35e1d485d5fef3acae7afd53e80e7755ff4",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-07-19T17:03:14Z",
"title_canon_sha256": "4723818d62ac38349afedd8d79d0b0fb51366f0bce746ab8633f08744aeffa16"
},
"schema_version": "1.0",
"source": {
"id": "1707.06194",
"kind": "arxiv",
"version": 1
}
}