Pith Number
pith:LQA5FGL3
pith:2022:LQA5FGL3HVK4DT4URJUUTUOT2X
not attested
not anchored
not stored
refs pending
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation
arxiv:2204.08467 v2 · 2022-04-16 · eess.IV · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LQA5FGL3HVK4DT4URJUUTUOT2X}
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 | 2026-07-05T05:55:57.163550Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c01d2997b3d55c1cf948a6949d1d3d5e90ee28411df6d895db1ec95d0e82998
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LQA5FGL3HVK4DT4URJUUTUOT2X \
| 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: 5c01d2997b3d55c1cf948a6949d1d3d5e90ee28411df6d895db1ec95d0e82998
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fb858c940b1c7393e63f4373dd692891105992ca7b16b81262d5d92afc072e1a",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-04-16T08:26:19Z",
"title_canon_sha256": "bd0adebe732e799af2762dc59867426b97b2afb451404c8429bbe679150784ad"
},
"schema_version": "1.0",
"source": {
"id": "2204.08467",
"kind": "arxiv",
"version": 2
}
}