Pith Number
pith:VKVQZESZ
pith:2018:VKVQZESZVJXXX7UO2OD3TTNDIR
not attested
not anchored
not stored
refs pending
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
arxiv:1810.01279 v2 · 2018-10-01 · cs.LG · cs.AI · cs.CR · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VKVQZESZVJXXX7UO2OD3TTNDIR}
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:47:02.739791Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aaab0c9259aa6f7bfe8ed387b9cda3446bbb7b2bd0daebb077df29b30020c1f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VKVQZESZVJXXX7UO2OD3TTNDIR \
| 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: aaab0c9259aa6f7bfe8ed387b9cda3446bbb7b2bd0daebb077df29b30020c1f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fdc926c89a1a6beb502df4fef76e0917e25d7dcabad43b61534bc324e8060313",
"cross_cats_sorted": [
"cs.AI",
"cs.CR",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-10-01T05:23:15Z",
"title_canon_sha256": "ee0716d9cc643ded02c45358d5dfe984903d141d69ed8e1d7e7a8676f45b469d"
},
"schema_version": "1.0",
"source": {
"id": "1810.01279",
"kind": "arxiv",
"version": 2
}
}