Pith Number
pith:T3DIYW4Z
pith:2023:T3DIYW4Z7ZBOVY4YBY4IM2GRKM
not attested
not anchored
not stored
refs pending
The Hidden Adversarial Vulnerabilities of Medical Federated Learning
arxiv:2310.13893 v1 · 2023-10-21 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T3DIYW4Z7ZBOVY4YBY4IM2GRKM}
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 | 2026-07-05T07:03:36.568797Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ec68c5b99fe42eae3980e388668d153363e674cd19e4eb690e1c5ad969ba306
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T3DIYW4Z7ZBOVY4YBY4IM2GRKM \
| 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: 9ec68c5b99fe42eae3980e388668d153363e674cd19e4eb690e1c5ad969ba306
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cbca1297c63dc47dfa00fe71917e1bafdc2f2891c2fadecded819e369ddc1fda",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-21T02:21:39Z",
"title_canon_sha256": "5eafb9721b1dc0d01fc8a071282647f70e896cc1c0c32d0e2faa11ab92830a07"
},
"schema_version": "1.0",
"source": {
"id": "2310.13893",
"kind": "arxiv",
"version": 1
}
}