Pith Number
pith:64IHXDTL
pith:2017:64IHXDTLUUO4DYXRATOR2KC4AD
not attested
not anchored
not stored
refs pending
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
arxiv:1704.02422 v2 · 2017-04-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64IHXDTLUUO4DYXRATOR2KC4AD}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
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 | 2026-05-18T00:29:46.212130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7107b8e6ba51dc1e2f104dd1d285c00d25ab28ef6800663970f99188dba923d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64IHXDTLUUO4DYXRATOR2KC4AD \
| 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: f7107b8e6ba51dc1e2f104dd1d285c00d25ab28ef6800663970f99188dba923d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f68e38b67ed3bb35a2f0eb42248e03573dea5e4f73599bd73bb9c2fec48cef81",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-08T02:13:48Z",
"title_canon_sha256": "26b154f8dc913e7c7690b1aebb3846c907658cc0010c5b60393a5b7ac2ee1ca2"
},
"schema_version": "1.0",
"source": {
"id": "1704.02422",
"kind": "arxiv",
"version": 2
}
}