Pith Number
pith:G5NKI347
pith:2021:G5NKI347J76ZFV53C43WEXLJRY
not attested
not anchored
not stored
refs pending
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
arxiv:2112.02543 v1 · 2021-12-05 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G5NKI347J76ZFV53C43WEXLJRY}
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 | 2026-07-05T03:37:54.253000Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
375aa46f9f4ffd92d7bb1737625d698e158dd370c0f47d9a3d0c5309ebad387c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G5NKI347J76ZFV53C43WEXLJRY \
| 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: 375aa46f9f4ffd92d7bb1737625d698e158dd370c0f47d9a3d0c5309ebad387c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b16dedb9d74938eedd29055975da56079100077ab1493946cf0f4e4821d85687",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-12-05T11:17:17Z",
"title_canon_sha256": "7261a6f73a900b550f6dd841d4d000c6b069f7b873bf1d4a500475bc72aea242"
},
"schema_version": "1.0",
"source": {
"id": "2112.02543",
"kind": "arxiv",
"version": 1
}
}