Pith Number
pith:Y7ZMAWJY
pith:2024:Y7ZMAWJY54MIYMEXXYJFWBP72Q
not attested
not anchored
not stored
refs pending
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
arxiv:2402.07347 v1 · 2024-02-12 · cs.LG · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y7ZMAWJY54MIYMEXXYJFWBP72Q}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:44:04.923593Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7f2c05938ef188c3097be125b05ffd40ba544a697543db025cf23b449c3c110
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y7ZMAWJY54MIYMEXXYJFWBP72Q \
| 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: c7f2c05938ef188c3097be125b05ffd40ba544a697543db025cf23b449c3c110
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a7e7d8423761ee87c206aaf97b2c14e81af2c97bde64bc8ef3cf17d768641d4",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-12T00:36:34Z",
"title_canon_sha256": "609336be1586ad135ad0f11d143f7d95a664b706c2934c56778e02a0c304647b"
},
"schema_version": "1.0",
"source": {
"id": "2402.07347",
"kind": "arxiv",
"version": 1
}
}