Pith Number
pith:LEFYZTFB
pith:2021:LEFYZTFBU5TRL6BRBSCAO5ZURA
not attested
not anchored
not stored
refs pending
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
arxiv:2103.07790 v1 · 2021-03-13 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LEFYZTFBU5TRL6BRBSCAO5ZURA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-07-05T02:22:45.086149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
590b8ccca1a76715f8310c84077734882fb0d676b41d594ed95466021a77ca12
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LEFYZTFBU5TRL6BRBSCAO5ZURA \
| 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: 590b8ccca1a76715f8310c84077734882fb0d676b41d594ed95466021a77ca12
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b872f0306607bc0241a2a23f9f00e14263e0f4b9f1214bcbb2d84f300c542f78",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-13T20:51:31Z",
"title_canon_sha256": "f96ce3fa7127dbe8ce1af8a6c3a46f3d4204586ba8529a29e73744040a39fb6f"
},
"schema_version": "1.0",
"source": {
"id": "2103.07790",
"kind": "arxiv",
"version": 1
}
}