Pith Number
pith:JE6KXQHJ
pith:2024:JE6KXQHJSOA3X5O6YX2EXTCPFO
not attested
not anchored
not stored
refs pending
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
arxiv:2404.09292 v2 · 2024-04-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JE6KXQHJSOA3X5O6YX2EXTCPFO}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:53:40.783818Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
493cabc0e99381bbf5dec5f44bcc4f2ba1bd1566ed67a2e0467181282b34fa55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JE6KXQHJSOA3X5O6YX2EXTCPFO \
| 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: 493cabc0e99381bbf5dec5f44bcc4f2ba1bd1566ed67a2e0467181282b34fa55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd589c96bb8573bcc0ca21d472fd420d54f5d7358689bdff06eb2cd3b41705e6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-14T15:58:35Z",
"title_canon_sha256": "cc9fe95abd7c2a44e6c0e93aa5169708a9dfa9f24e7df999ced697c4d50310eb"
},
"schema_version": "1.0",
"source": {
"id": "2404.09292",
"kind": "arxiv",
"version": 2
}
}