Pith Number
pith:USJPIZ75
pith:2018:USJPIZ75Q3RCSX24C4YQPWCNTF
not attested
not anchored
not stored
refs pending
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction
arxiv:1803.00694 v2 · 2018-03-02 · physics.med-ph · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{USJPIZ75Q3RCSX24C4YQPWCNTF}
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 | 2026-05-18T00:06:40.562490Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a492f467fd86e2295f5c173107d84d997b1681b7eb3d2c496c76b0fa0f5e76d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/USJPIZ75Q3RCSX24C4YQPWCNTF \
| 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: a492f467fd86e2295f5c173107d84d997b1681b7eb3d2c496c76b0fa0f5e76d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fec81dff4fe3996cfc9760d0f75b6d9cc9f506e173a68c77a5aefd502d150ad7",
"cross_cats_sorted": [
"cs.CV",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2018-03-02T03:38:47Z",
"title_canon_sha256": "45052dd1e80e7a3e93efbfec093b71d4455738657da7335a63e07ff691df3d87"
},
"schema_version": "1.0",
"source": {
"id": "1803.00694",
"kind": "arxiv",
"version": 2
}
}