Pith Number
pith:E2L5WCFG
pith:2018:E2L5WCFG7FEIPFVGGQ2NFUNARI
not attested
not anchored
not stored
refs pending
VIBNN: Hardware Acceleration of Bayesian Neural Networks
arxiv:1802.00822 v1 · 2018-02-02 · cs.LG · cs.AR · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E2L5WCFG7FEIPFVGGQ2NFUNARI}
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 | 2026-05-18T00:24:28.136032Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2697db08a6f9488796a63434d2d1a08a33e7195c3f62048467dc709b70e3f615
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E2L5WCFG7FEIPFVGGQ2NFUNARI \
| 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: 2697db08a6f9488796a63434d2d1a08a33e7195c3f62048467dc709b70e3f615
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38686074ec5b2914eebbf8b7ff7f17a1408325ff9cedfe6b53e4ad557908ebc9",
"cross_cats_sorted": [
"cs.AR",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-02-02T19:26:59Z",
"title_canon_sha256": "949dfb5b0bcceefff6895a0333d6212d168865c93a22870f722a6dacc410c13e"
},
"schema_version": "1.0",
"source": {
"id": "1802.00822",
"kind": "arxiv",
"version": 1
}
}