Pith Number
pith:5HFMW6CZ
pith:2025:5HFMW6CZJ7U5S6UJCWUDYKO6JM
not attested
not anchored
not stored
refs pending
Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks
arxiv:2502.00587 v2 · 2025-02-01 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5HFMW6CZJ7U5S6UJCWUDYKO6JM}
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 | 2026-07-05T10:19:37.527671Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9cacb78594fe9d97a8915a83c29de4b0842034c8b8eec239fb1820d9a42467c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5HFMW6CZJ7U5S6UJCWUDYKO6JM \
| 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: e9cacb78594fe9d97a8915a83c29de4b0842034c8b8eec239fb1820d9a42467c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a69095cff032dd9cd1dad261e1bd57ccd4d217723ea1bb4ad5d4858d02c94ac",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-02-01T22:57:08Z",
"title_canon_sha256": "52d39d858b427b7452a4c07f5429cb0453bb851d195c1dc4d5d69603bf63d55c"
},
"schema_version": "1.0",
"source": {
"id": "2502.00587",
"kind": "arxiv",
"version": 2
}
}