Pith Number
pith:LK2MUL5I
pith:2025:LK2MUL5IAEOGOHKOKHBJ3KAUC5
not attested
not anchored
not stored
refs pending
DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences
arxiv:2507.09602 v1 · 2025-07-13 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LK2MUL5IAEOGOHKOKHBJ3KAUC5}
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
✓
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 | 2026-07-05T11:36:36.649085Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ab4ca2fa8011c671d4e51c29da8141746b7ea626488d1b381403a2736348c88
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LK2MUL5IAEOGOHKOKHBJ3KAUC5 \
| 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: 5ab4ca2fa8011c671d4e51c29da8141746b7ea626488d1b381403a2736348c88
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4baba67c2fd40ca018f75756c6dd62058f781fd6ac741953b0be3d3f5b6ee88",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-13T12:16:43Z",
"title_canon_sha256": "e5e80224ead478acc1cc75e273a5eaac1e4d4faff41e7401b3244ee4733c8f69"
},
"schema_version": "1.0",
"source": {
"id": "2507.09602",
"kind": "arxiv",
"version": 1
}
}