Pith Number
pith:SL4ICLHV
pith:2017:SL4ICLHVJIZDEQ5LIEQ3WD32ID
not attested
not anchored
not stored
refs pending
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection
arxiv:1712.00497 v1 · 2017-12-01 · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SL4ICLHVJIZDEQ5LIEQ3WD32ID}
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
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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 | 2026-05-18T00:23:20.911201Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92f8812cf54a323243ab4121bb0f7a40c49d92b78c4870ab24f1b97753a21a39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SL4ICLHVJIZDEQ5LIEQ3WD32ID \
| 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: 92f8812cf54a323243ab4121bb0f7a40c49d92b78c4870ab24f1b97753a21a39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "650838cf083cada29feb584df9f83adbf6f07f36410007a009f3943ed5fe4a12",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-01T21:21:35Z",
"title_canon_sha256": "ce7e4cd40426a5db48c9585e47915a2b0a467eb9a0e8beafb2087f7f2dee6425"
},
"schema_version": "1.0",
"source": {
"id": "1712.00497",
"kind": "arxiv",
"version": 1
}
}