Pith Number
pith:4FQ2NESJ
pith:2026:4FQ2NESJM42Q5DXIYW7OABZYMZ
not attested
not anchored
not stored
refs pending
Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee
arxiv:2605.28335 v1 · 2026-05-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4FQ2NESJM42Q5DXIYW7OABZYMZ}
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 | 2026-05-28T01:05:13.312831Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e161a6924967350e8ee8c5bee00738665a0db6ab374191388a88f2ac4fe0ee94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FQ2NESJM42Q5DXIYW7OABZYMZ \
| 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: e161a6924967350e8ee8c5bee00738665a0db6ab374191388a88f2ac4fe0ee94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa5bf0d956042e654426d9c2e75457c31c983bf110c63b404375e3d263d1996a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-27T11:39:47Z",
"title_canon_sha256": "33144f13e942e0a3fa87a011378fabcae588b1e4ffadc6bc7fc369465792f964"
},
"schema_version": "1.0",
"source": {
"id": "2605.28335",
"kind": "arxiv",
"version": 1
}
}