Pith Number
pith:3JM7RI23
pith:2024:3JM7RI2337MRB5IIH3NLDR7FON
not attested
not anchored
not stored
refs pending
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
arxiv:2410.19941 v1 · 2024-10-25 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JM7RI2337MRB5IIH3NLDR7FON}
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
· sign in to
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 | 2026-07-05T09:26:35.959440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da59f8a35bdfd910f5083edab1c7e5734cf1261bf3ed760d7caf384f02bce510
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JM7RI2337MRB5IIH3NLDR7FON \
| 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: da59f8a35bdfd910f5083edab1c7e5734cf1261bf3ed760d7caf384f02bce510
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d688836e848751db2d605b2e8798fbd54e1c682bde54336bc6aa5fc6cf455ac",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-25T19:32:58Z",
"title_canon_sha256": "9230b4f57cf286cd797a72ed2822a3d5a12497dbac4955716743d1907576d7d7"
},
"schema_version": "1.0",
"source": {
"id": "2410.19941",
"kind": "arxiv",
"version": 1
}
}