Pith Number
pith:EPU7NHID
pith:2018:EPU7NHIDXDW6NMHDWR4LFVV4DZ
not attested
not anchored
not stored
refs pending
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
arxiv:1802.04742 v2 · 2018-02-13 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPU7NHIDXDW6NMHDWR4LFVV4DZ}
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 | 2026-05-18T00:15:04.947607Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23e9f69d03b8ede6b0e3b478b2d6bc1e7692737095358136672b558a7b52719c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPU7NHIDXDW6NMHDWR4LFVV4DZ \
| 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: 23e9f69d03b8ede6b0e3b478b2d6bc1e7692737095358136672b558a7b52719c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6218be6ca76b9ff96635196310aa2bf42c0f6328c481345a3034c102e1a49512",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-02-13T17:07:13Z",
"title_canon_sha256": "b2c1a49a998cf16aa7fa6ca0ec66ac74ff51372249ae0300b10f314c247e9476"
},
"schema_version": "1.0",
"source": {
"id": "1802.04742",
"kind": "arxiv",
"version": 2
}
}