Pith Number
pith:AJOFFOYD
pith:2023:AJOFFOYD3MABHBWCEFSZU2NDJ5
not attested
not anchored
not stored
refs pending
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
arxiv:2311.18498 v1 · 2023-11-30 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AJOFFOYD3MABHBWCEFSZU2NDJ5}
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 | 2026-07-05T07:18:43.140524Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
025c52bb03db001386c221659a69a34f753af880fa140902a7858771ef4fad50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AJOFFOYD3MABHBWCEFSZU2NDJ5 \
| 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: 025c52bb03db001386c221659a69a34f753af880fa140902a7858771ef4fad50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9560403626e2bc71d3da894e9ef6cb68772e8b327e279f11ec0f59448a30831e",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-30T12:19:10Z",
"title_canon_sha256": "67dd9d77495f62546f615bfe875156b3118ce6041bab2f0fbd7f64734c185a45"
},
"schema_version": "1.0",
"source": {
"id": "2311.18498",
"kind": "arxiv",
"version": 1
}
}