Pith Number
pith:2T6UMPCO
pith:2023:2T6UMPCOGMCD4EF6U2OLMJYIOT
not attested
not anchored
not stored
refs pending
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
arxiv:2307.15245 v1 · 2023-07-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2T6UMPCOGMCD4EF6U2OLMJYIOT}
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 | 2026-07-05T06:35:32.480826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4fd463c4e33043e10bea69cb6270874cbb6a3379676bc14eb6fe9d27a3ec69d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2T6UMPCOGMCD4EF6U2OLMJYIOT \
| 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: d4fd463c4e33043e10bea69cb6270874cbb6a3379676bc14eb6fe9d27a3ec69d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "595eb2c11e8c5ccc3970acb4e7edc89ed16c20d4354e2b95fca5c127a16cb4ad",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-28T00:48:05Z",
"title_canon_sha256": "1ec46abb04cf84f71c6406d678343a5724bca1fd78c1f248dfdc5eb0c781c3bd"
},
"schema_version": "1.0",
"source": {
"id": "2307.15245",
"kind": "arxiv",
"version": 1
}
}