Pith Number
pith:LSNW4TUJ
pith:2024:LSNW4TUJAYDU2H2WEPQWF6ZDOC
not attested
not anchored
not stored
refs pending
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
arxiv:2412.04081 v1 · 2024-12-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LSNW4TUJAYDU2H2WEPQWF6ZDOC}
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 | 2026-07-05T09:44:58.868910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c9b6e4e8906074d1f5623e162fb2370b38504e8c9f8098c3693b5bfd5c6c736
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LSNW4TUJAYDU2H2WEPQWF6ZDOC \
| 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: 5c9b6e4e8906074d1f5623e162fb2370b38504e8c9f8098c3693b5bfd5c6c736
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4a9f53ca77ff2e2618c3d3b42ff05182324c5c90a3ad6ec4d20b2adf6d33d9a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-05T11:32:14Z",
"title_canon_sha256": "6dd217c2336c0dbcb1fdc66ec9c90cc8e2d93498970902f95db49c5274ec5008"
},
"schema_version": "1.0",
"source": {
"id": "2412.04081",
"kind": "arxiv",
"version": 1
}
}