Pith Number
pith:FFYH7OJI
pith:2021:FFYH7OJIJKR7CVGSQJMO3STTFD
not attested
not anchored
not stored
refs pending
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
arxiv:2110.00715 v1 · 2021-10-02 · cs.CV · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FFYH7OJIJKR7CVGSQJMO3STTFD}
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.
Receipt and verification
| First computed | 2026-07-05T03:19:47.741352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29707fb9284aa3f154d28258edca7328e03c4e8b0bd1078ec6191df64532be67
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FFYH7OJIJKR7CVGSQJMO3STTFD \
| 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: 29707fb9284aa3f154d28258edca7328e03c4e8b0bd1078ec6191df64532be67
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e69db0550f68d33e8ef1e61267e5d8dc7771c9a8b08cea7056e83f700c55a04f",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-10-02T03:21:52Z",
"title_canon_sha256": "4dc327c99492e34d59832c21c43936187016bfd965f5d77ea5a28d0aa0ec855d"
},
"schema_version": "1.0",
"source": {
"id": "2110.00715",
"kind": "arxiv",
"version": 1
}
}