Pith Number
pith:ONEXJIF5
pith:2024:ONEXJIF5UG6RQAUJXMHKP7N3Y3
not attested
not anchored
not stored
refs pending
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
arxiv:2404.14389 v2 · 2024-04-22 · cs.NI · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONEXJIF5UG6RQAUJXMHKP7N3Y3}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:00:36.210061Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
734974a0bda1bd180289bb0ea7fdbbc6e43a94483081859210c3f47e3e4b2071
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONEXJIF5UG6RQAUJXMHKP7N3Y3 \
| 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: 734974a0bda1bd180289bb0ea7fdbbc6e43a94483081859210c3f47e3e4b2071
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ceed7184ce0302c43c8b6fc4c4724ef196375a021a6ec5d10b86c6a7661154b",
"cross_cats_sorted": [
"cs.CR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2024-04-22T17:50:27Z",
"title_canon_sha256": "22b52ed40408ed5db8eef3360837e79818193955c2e62520a0a854abdd160ffc"
},
"schema_version": "1.0",
"source": {
"id": "2404.14389",
"kind": "arxiv",
"version": 2
}
}