Pith Number
pith:DDRH4JXD
pith:2018:DDRH4JXD22R6ZCYPPHPJ6PKBOE
not attested
not anchored
not stored
refs pending
First-order Adversarial Vulnerability of Neural Networks and Input Dimension
arxiv:1802.01421 v4 · 2018-02-05 · stat.ML · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DDRH4JXD22R6ZCYPPHPJ6PKBOE}
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 | 2026-05-17T23:43:18.223543Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18e27e26e3d6a3ec8b0f79de9f3d417101d101f48e0925070a6ff29c30e79133
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DDRH4JXD22R6ZCYPPHPJ6PKBOE \
| 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: 18e27e26e3d6a3ec8b0f79de9f3d417101d101f48e0925070a6ff29c30e79133
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e53d400c7de466bccc73f98bf49aec94ceebec25cf8b125eeae7e10698138f3",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-02-05T14:36:44Z",
"title_canon_sha256": "97f848851bed05af6799e0f6f6a700e4594479f61e5366a2698dd93c5e3f941c"
},
"schema_version": "1.0",
"source": {
"id": "1802.01421",
"kind": "arxiv",
"version": 4
}
}