Pith Number
pith:Q222SJQP
pith:2023:Q222SJQPKOIU4EBYQR5T2ECT3S
not attested
not anchored
not stored
refs pending
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
arxiv:2305.02509 v1 · 2023-05-04 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q222SJQPKOIU4EBYQR5T2ECT3S}
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 | 2026-07-05T06:07:01.855741Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
86b5a9260f53914e1038847b3d1053dcacba07c5512e869d3d34476784c8a36e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q222SJQPKOIU4EBYQR5T2ECT3S \
| 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: 86b5a9260f53914e1038847b3d1053dcacba07c5512e869d3d34476784c8a36e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0ca8ab5b73ced62f2818dd67618e626f6e1cddd1462aafe67f935308c118d7a",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-05-04T02:40:42Z",
"title_canon_sha256": "b3f26925f048c41260c238b93f2806b1ae884503c110745e5716a473fdb8c941"
},
"schema_version": "1.0",
"source": {
"id": "2305.02509",
"kind": "arxiv",
"version": 1
}
}