Pith Number
pith:X4J5KPGL
pith:2024:X4J5KPGL4CGQZXF2ABXURV3FQG
not attested
not anchored
not stored
refs pending
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
arxiv:2403.18607 v1 · 2024-03-27 · cs.CR · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X4J5KPGL4CGQZXF2ABXURV3FQG}
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 | 2026-07-05T08:01:24.871753Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bf13d53ccbe08d0cdcba006f48d76581b013ef92c55dcbe9d4a8a80482632153
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X4J5KPGL4CGQZXF2ABXURV3FQG \
| 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: bf13d53ccbe08d0cdcba006f48d76581b013ef92c55dcbe9d4a8a80482632153
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "124ead70b06a763d9aabf6c8d4abe0fa0e7cca4cfde49c51cf2b24ee00772780",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2024-03-27T14:25:02Z",
"title_canon_sha256": "ff09284f4b674279801aad8f893080250644e8d7d8842346a6c5c6f73f9d1d33"
},
"schema_version": "1.0",
"source": {
"id": "2403.18607",
"kind": "arxiv",
"version": 1
}
}