Pith Number
pith:PGW3D6VV
pith:2017:PGW3D6VVOQSRDJW6FFCQ75CLF2
not attested
not anchored
not stored
refs pending
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
arxiv:1709.01604 v5 · 2017-09-05 · cs.CR · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PGW3D6VVOQSRDJW6FFCQ75CLF2}
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
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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 | 2026-05-18T00:16:44.988386Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79adb1fab5742511a6de29450ff44b2eba7454839cbd18a0bc7c9f0d3d6fda30
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PGW3D6VVOQSRDJW6FFCQ75CLF2 \
| 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: 79adb1fab5742511a6de29450ff44b2eba7454839cbd18a0bc7c9f0d3d6fda30
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7d7a67c04cec6b1b6cb5ff615d57bd3e1454ef1acfaffca28b848754a26c264",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2017-09-05T21:56:24Z",
"title_canon_sha256": "eb053953154bc19f54b313e77c59ffc509a6a051ff9a4ce88a65b5558c282cb8"
},
"schema_version": "1.0",
"source": {
"id": "1709.01604",
"kind": "arxiv",
"version": 5
}
}