Pith Number
pith:NRGZGHQS
pith:2023:NRGZGHQSS2TZZPD5ZNP23FCPJ4
not attested
not anchored
not stored
refs pending
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction
arxiv:2311.05808 v3 · 2023-11-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NRGZGHQSS2TZZPD5ZNP23FCPJ4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:41:29.633043Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c4d931e1296a79cbc7dcb5fad944f4f32e4defeeb52433add2a54cad5775987
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NRGZGHQSS2TZZPD5ZNP23FCPJ4 \
| 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: 6c4d931e1296a79cbc7dcb5fad944f4f32e4defeeb52433add2a54cad5775987
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5121219afbb7f095e83dea9dcc1d242cab5a96a2a168cb28755d76825114309",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-10T00:53:22Z",
"title_canon_sha256": "30a8d1d7946467c87231ade1c48ff0da6e6c5a83380afe149232045f3325e3e4"
},
"schema_version": "1.0",
"source": {
"id": "2311.05808",
"kind": "arxiv",
"version": 3
}
}