Pith Number
pith:NE5Y4IWR
pith:2024:NE5Y4IWRAXM7DODBVDBRLHM6D4
not attested
not anchored
not stored
refs pending
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
arxiv:2407.09250 v1 · 2024-07-12 · cs.NI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NE5Y4IWRAXM7DODBVDBRLHM6D4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:43:16.997566Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
693b8e22d105d9f1b861a8c3159d9e1f0638e2f74492206355f9fedfe964ede9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NE5Y4IWRAXM7DODBVDBRLHM6D4 \
| 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: 693b8e22d105d9f1b861a8c3159d9e1f0638e2f74492206355f9fedfe964ede9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "927ad40ba85cff8ba9d916ac1eb94f08210c37f2caaad229c02bb855785af7b0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2024-07-12T13:23:54Z",
"title_canon_sha256": "be976c079bd8120f398a282241ac3ca4563ebe91dace7d052ddef7d4d860833f"
},
"schema_version": "1.0",
"source": {
"id": "2407.09250",
"kind": "arxiv",
"version": 1
}
}