Pith Number
pith:D7Q3HUY2
pith:2017:D7Q3HUY2EZ54JZT75JYZP5ZCE5
not attested
not anchored
not stored
refs pending
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
arxiv:1708.08022 v1 · 2017-08-26 · stat.ML · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D7Q3HUY2EZ54JZT75JYZP5ZCE5}
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 | 2026-05-17T23:58:42.349246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1fe1b3d31a267bc4e67fea7197f722274031235f4156ce6f32beb58f1601f27f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D7Q3HUY2EZ54JZT75JYZP5ZCE5 \
| 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: 1fe1b3d31a267bc4e67fea7197f722274031235f4156ce6f32beb58f1601f27f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cde95355bb2a837743dc5c32b98549fae07b0992c004653442d03fba106e53c0",
"cross_cats_sorted": [
"cs.CR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-08-26T23:23:39Z",
"title_canon_sha256": "6cb24a9a2c4bb11157f59167ccc6fe18b5dc180dadf107c76e6c6eb2c11c0f5c"
},
"schema_version": "1.0",
"source": {
"id": "1708.08022",
"kind": "arxiv",
"version": 1
}
}