Pith Number
pith:IAYG4USA
pith:2020:IAYG4USAOKHK3C4RBL55IDLWR6
not attested
not anchored
not stored
refs pending
Evaluation of Inference Attack Models for Deep Learning on Medical Data
arxiv:2011.00177 v1 · 2020-10-31 · cs.LG · cs.CR · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IAYG4USAOKHK3C4RBL55IDLWR6}
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 | 2026-07-05T01:47:58.076841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40306e5240728ead8b910afbd40d768faf43ead44e5fc84de48152c58ccee3c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IAYG4USAOKHK3C4RBL55IDLWR6 \
| 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: 40306e5240728ead8b910afbd40d768faf43ead44e5fc84de48152c58ccee3c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d17b9eae469c8ff475e8ef9007d486fcd5ea97aafedb6523aa3865d247be35f",
"cross_cats_sorted": [
"cs.CR",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-31T03:18:36Z",
"title_canon_sha256": "90038a27f08b078f45d94197fe610d64aee04e137bb63d18de2e952a53d99e39"
},
"schema_version": "1.0",
"source": {
"id": "2011.00177",
"kind": "arxiv",
"version": 1
}
}