Pith Number
pith:3IEXCJ7C
pith:2022:3IEXCJ7CJQATSRKRIZ2EXK2YHX
not attested
not anchored
not stored
refs pending
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
arxiv:2211.13535 v2 · 2022-11-24 · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IEXCJ7CJQATSRKRIZ2EXK2YHX}
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 | 2026-07-05T07:30:01.015522Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da097127e24c0139455146744bab583dc6aae1e41fbdb62320171f9fd49baee4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IEXCJ7CJQATSRKRIZ2EXK2YHX \
| 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: da097127e24c0139455146744bab583dc6aae1e41fbdb62320171f9fd49baee4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8857f171d5aed8f026ace4eedd525d1faf85ea6f2fb589d50479e5fe960faf6a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2022-11-24T11:10:54Z",
"title_canon_sha256": "16f64061ad6771026f5a9b0e767f86ebf6e72b451c93ed5247e6d6f6ef93692b"
},
"schema_version": "1.0",
"source": {
"id": "2211.13535",
"kind": "arxiv",
"version": 2
}
}