Pith Number
pith:P443IILW
pith:2019:P443IILWVHUW34M6U3WXQVQSJP
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not anchored
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refs pending
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
arxiv:1902.02037 v1 · 2019-02-06 · stat.ML · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P443IILWVHUW34M6U3WXQVQSJP}
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 | 2026-05-17T23:54:38.045824Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f39b42176a9e96df19ea6ed7856124be267afb8327ee4288ae9a98277028a66
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P443IILWVHUW34M6U3WXQVQSJP \
| 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: 7f39b42176a9e96df19ea6ed7856124be267afb8327ee4288ae9a98277028a66
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3a655d178424ca9907543a733c5f6f270f0e5a5ee3060a9297fec4d9c2ff4dc",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-02-06T06:10:46Z",
"title_canon_sha256": "1e27accb77ea0dc2a2579e731e65f708c97cdcf4cc1912d6722b8987fc3b0fcf"
},
"schema_version": "1.0",
"source": {
"id": "1902.02037",
"kind": "arxiv",
"version": 1
}
}