Pith Number
pith:YPF3U3DW
pith:2017:YPF3U3DWHVJ4TYE4GBAH6MP3B7
not attested
not anchored
not stored
refs pending
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
arxiv:1710.00486 v2 · 2017-10-02 · cs.NE · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPF3U3DWHVJ4TYE4GBAH6MP3B7}
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 | 2026-07-05T00:37:25.521758Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3cbba6c763d53c9e09c30407f31fb0fdbe45439d59ad69c3cd10599b45aab17
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPF3U3DWHVJ4TYE4GBAH6MP3B7 \
| 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: c3cbba6c763d53c9e09c30407f31fb0fdbe45439d59ad69c3cd10599b45aab17
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57a9d27966f485e9549a26b8935b61cb10aa27a1172ac83913ef9607dd5e7864",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-10-02T05:09:52Z",
"title_canon_sha256": "d94a10ef6d0ec0ae14ff731a5e152724268e2aeb4d353663e9a69407e7c6ecb8"
},
"schema_version": "1.0",
"source": {
"id": "1710.00486",
"kind": "arxiv",
"version": 2
}
}