Pith Number
pith:3KQT5TVL
pith:2024:3KQT5TVLYONFZUVWLVALLEKY2P
not attested
not anchored
not stored
refs pending
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices
arxiv:2405.04765 v1 · 2024-05-08 · cs.LG · cs.AI · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3KQT5TVLYONFZUVWLVALLEKY2P}
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 | 2026-07-05T08:17:04.986660Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
daa13eceabc39a5cd2b65d40b59158d3caa517d27977f2d6bf5d35d3dd092d62
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3KQT5TVLYONFZUVWLVALLEKY2P \
| 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: daa13eceabc39a5cd2b65d40b59158d3caa517d27977f2d6bf5d35d3dd092d62
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "703730ed351f1f8799c6e3395f9dc2bcb97db31f9de70dade7ab89450a6d30e2",
"cross_cats_sorted": [
"cs.AI",
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-08T02:24:09Z",
"title_canon_sha256": "cc2392b8a2c080e7af7d3df3a2e9597f4a93070631830dab208d14ae5b6183f5"
},
"schema_version": "1.0",
"source": {
"id": "2405.04765",
"kind": "arxiv",
"version": 1
}
}