Pith Number
pith:XYRAXBA6
pith:2024:XYRAXBA6EILWCHWQFUCG66KM2X
not attested
not anchored
not stored
refs pending
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
arxiv:2412.07813 v3 · 2024-12-10 · cs.GT · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XYRAXBA6EILWCHWQFUCG66KM2X}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:04:20.820415Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be220b841e2217611ed02d046f794cd5c9c38a85ef0dc96df9e1824ac2533138
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XYRAXBA6EILWCHWQFUCG66KM2X \
| 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: be220b841e2217611ed02d046f794cd5c9c38a85ef0dc96df9e1824ac2533138
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c662c5c1c8573bc30ae5c44f1e246eeec0c7270094fa01109e81a927de397dd4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GT",
"submitted_at": "2024-12-10T06:24:08Z",
"title_canon_sha256": "400d30bd8148b87eea5c8a07ff9e7e64d47cd3dc62ea0851e636afb92a5512e3"
},
"schema_version": "1.0",
"source": {
"id": "2412.07813",
"kind": "arxiv",
"version": 3
}
}