Pith Number
pith:4VJL4LOE
pith:2012:4VJL4LOEUUW4IWX5VXYZ4XBYL2
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not anchored
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refs pending
A new parameter Learning Method for Bayesian Networks with Qualitative Influences
arxiv:1206.5245 v1 · 2012-06-20 · cs.AI · cs.LG · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4VJL4LOEUUW4IWX5VXYZ4XBYL2}
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 | 2026-05-18T03:52:40.981491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e552be2dc4a52dc45afdadf19e5c385e81cd153a2f28307ca042b7ba857c6f58
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4VJL4LOEUUW4IWX5VXYZ4XBYL2 \
| 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: e552be2dc4a52dc45afdadf19e5c385e81cd153a2f28307ca042b7ba857c6f58
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "013e912d76924aecd192b41c60b4db22073feb92eb7b5c1fab074727a3d0af7d",
"cross_cats_sorted": [
"cs.LG",
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2012-06-20T14:54:06Z",
"title_canon_sha256": "4be4d48164f98b8226670ebeacee0ffae2a09ad238cec2490ebc30ae14027523"
},
"schema_version": "1.0",
"source": {
"id": "1206.5245",
"kind": "arxiv",
"version": 1
}
}