Pith Number
pith:DYHYDZJB
pith:2019:DYHYDZJB7QZN6SDGFWD3H6DKCO
not attested
not anchored
not stored
refs pending
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data
arxiv:1904.01574 v2 · 2019-04-01 · eess.IV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYHYDZJB7QZN6SDGFWD3H6DKCO}
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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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 | 2026-07-04T23:55:10.862336Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e0f81e521fc32df48662d87b3f86a13a7bd38a119d6f9090faab2406209f4b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYHYDZJB7QZN6SDGFWD3H6DKCO \
| 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: 1e0f81e521fc32df48662d87b3f86a13a7bd38a119d6f9090faab2406209f4b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65c83a7694c33655aea9333ee6ccbfcdbe98b8ee4dfa7614b9d6a970e1b4c979",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-04-01T20:16:42Z",
"title_canon_sha256": "49b0e43d118cacb602df782ada853d2837a4e3ed45b6fa23014fba7af5d02cdf"
},
"schema_version": "1.0",
"source": {
"id": "1904.01574",
"kind": "arxiv",
"version": 2
}
}