Pith Number
pith:U5CB2P26
pith:2023:U5CB2P26C276W7R57CILWXI5B6
not attested
not anchored
not stored
refs pending
Differentially Private Non-convex Learning for Multi-layer Neural Networks
arxiv:2310.08425 v1 · 2023-10-12 · cs.LG · cs.CR · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U5CB2P26C276W7R57CILWXI5B6}
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 | 2026-07-05T07:00:15.327040Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a7441d3f5e16bfeb7e3df890bb5d1d0f9f8b68e063d308bc48c67db92ab31593
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U5CB2P26C276W7R57CILWXI5B6 \
| 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: a7441d3f5e16bfeb7e3df890bb5d1d0f9f8b68e063d308bc48c67db92ab31593
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3ed6dac699e2adf0a60f340fe80b72bb4f1820cd5f7a6d985d28dd4d5b41cac",
"cross_cats_sorted": [
"cs.CR",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-12T15:48:14Z",
"title_canon_sha256": "dac2f289d5c5a240cab19bfed4da99becf0d79ab33b251b5b354d3cfb4100ca1"
},
"schema_version": "1.0",
"source": {
"id": "2310.08425",
"kind": "arxiv",
"version": 1
}
}