Pith Number
pith:FP7PPZTC
pith:2019:FP7PPZTCW2CYUX4X3LD2EYTSNX
not attested
not anchored
not stored
refs pending
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
arxiv:1904.01112 v1 · 2019-04-01 · eess.SP · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FP7PPZTCW2CYUX4X3LD2EYTSNX}
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 | 2026-05-17T23:49:35.912690Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2bfef7e662b6858a5f97dac7a262726dd0524e84f314c592ac11782d0f5102ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FP7PPZTCW2CYUX4X3LD2EYTSNX \
| 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: 2bfef7e662b6858a5f97dac7a262726dd0524e84f314c592ac11782d0f5102ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e344c9d2572098b1311705f59e9fce042751402f8ff197423b6338418200521",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-04-01T21:23:23Z",
"title_canon_sha256": "b2be76774a3d8b39978008729ae20180374f9428ecedaa21397989252eade85f"
},
"schema_version": "1.0",
"source": {
"id": "1904.01112",
"kind": "arxiv",
"version": 1
}
}