Pith Number
pith:WGTC2BQI
pith:2022:WGTC2BQI5K4QUHTKL3ZLJMEMGP
not attested
not anchored
not stored
refs pending
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
arxiv:2206.00775 v3 · 2022-06-01 · eess.IV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WGTC2BQI5K4QUHTKL3ZLJMEMGP}
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 | 2026-07-05T09:56:45.670088Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b1a62d0608eab90a1e6a5ef2b4b08c33f3ce6b8db252c385dec50d93a474e53d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGTC2BQI5K4QUHTKL3ZLJMEMGP \
| 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: b1a62d0608eab90a1e6a5ef2b4b08c33f3ce6b8db252c385dec50d93a474e53d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c2831fc77e71d94932e09a0b4c4b33626d1a9ec9b9b945387149c3dbc6b76db",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-06-01T21:37:03Z",
"title_canon_sha256": "01355507ab4e039d80204adc2d40bf70c28806fac3324221cb7d63096b576b35"
},
"schema_version": "1.0",
"source": {
"id": "2206.00775",
"kind": "arxiv",
"version": 3
}
}