Pith Number
pith:A5NYWOWM
pith:2023:A5NYWOWM3H5F36CF244YCKHMW3
not attested
not anchored
not stored
refs pending
Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data
arxiv:2304.07502 v1 · 2023-04-15 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A5NYWOWM3H5F36CF244YCKHMW3}
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 | 2026-07-05T06:01:22.223383Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
075b8b3accd9fa5df845d7398128ecb6f3300605e85ca1f8e88b75572b025feb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A5NYWOWM3H5F36CF244YCKHMW3 \
| 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: 075b8b3accd9fa5df845d7398128ecb6f3300605e85ca1f8e88b75572b025feb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "36fa55fbc0e29d3462099ea6e12e5c7f229196a6907022f86df22b3992170ab6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-04-15T08:12:02Z",
"title_canon_sha256": "a9aa0999879ea5b07800e58e91f832dfbfe0749f0c7b085919c814a0e61231d4"
},
"schema_version": "1.0",
"source": {
"id": "2304.07502",
"kind": "arxiv",
"version": 1
}
}