Pith Number
pith:VSY5D4GE
pith:2017:VSY5D4GE4N7SUFHMV3OW2YGVIC
not attested
not anchored
not stored
refs pending
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
arxiv:1709.03423 v2 · 2017-09-11 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VSY5D4GE4N7SUFHMV3OW2YGVIC}
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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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 | 2026-05-18T00:24:04.134809Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
acb1d1f0c4e37f2a14ecaedd6d60d5409d36e7068a8b5bfb0863fdcb52ab97d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VSY5D4GE4N7SUFHMV3OW2YGVIC \
| 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: acb1d1f0c4e37f2a14ecaedd6d60d5409d36e7068a8b5bfb0863fdcb52ab97d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c5e8b56dded939e864c7af23c2363432cae7a0493ca559ebb8dc20a94f4afa3",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-09-11T15:01:03Z",
"title_canon_sha256": "d65fc51385d0ebc21f822afabe54ecdede5f84df2534e6d0a6b01e818851f679"
},
"schema_version": "1.0",
"source": {
"id": "1709.03423",
"kind": "arxiv",
"version": 2
}
}