Pith Number
pith:K4IHMRJG
pith:2019:K4IHMRJGHKGUYYT43VYXWYCUY3
not attested
not anchored
not stored
refs pending
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
arxiv:1911.04636 v1 · 2019-11-12 · cs.LG · cs.SY · eess.SY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K4IHMRJGHKGUYYT43VYXWYCUY3}
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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 | 2026-07-05T00:18:43.795450Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57107645263a8d4c627cdd717b6054c6dca1dca4c605065c6b664f57199a1acb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4IHMRJGHKGUYYT43VYXWYCUY3 \
| 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: 57107645263a8d4c627cdd717b6054c6dca1dca4c605065c6b664f57199a1acb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a7e1bb09eaf24dc2a78a8086fc60679468fb795b3f45af34cca89f59d5f79e2",
"cross_cats_sorted": [
"cs.SY",
"eess.SY",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-11-12T02:17:01Z",
"title_canon_sha256": "d04f397c92caf59c419b31276753f5e4a478726a154a6cbabe7e395eafd3fd0e"
},
"schema_version": "1.0",
"source": {
"id": "1911.04636",
"kind": "arxiv",
"version": 1
}
}