Pith Number
pith:5KP4MINF
pith:2023:5KP4MINFPZAKBOAB3Z2GXG6XJK
not attested
not anchored
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refs pending
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
arxiv:2303.06032 v1 · 2023-03-08 · cs.LG · cs.CR · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5KP4MINFPZAKBOAB3Z2GXG6XJK}
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 | 2026-07-05T05:50:00.100496Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea9fc621a57e40a0b801de746b9bd74a8467a3a318d0f86d8b56fa263bbcf4bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5KP4MINFPZAKBOAB3Z2GXG6XJK \
| 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: ea9fc621a57e40a0b801de746b9bd74a8467a3a318d0f86d8b56fa263bbcf4bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1cdaa13983be7b11931f3edf87293ae5e465f85852d074b3c96e7f139fca5b2a",
"cross_cats_sorted": [
"cs.CR",
"cs.CV",
"eess.IV"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-03-08T07:59:44Z",
"title_canon_sha256": "d7720df15abd8d87264226c3357884938f157667d49b34f5d3812693dc8f8209"
},
"schema_version": "1.0",
"source": {
"id": "2303.06032",
"kind": "arxiv",
"version": 1
}
}