Pith Number
pith:5IBRBCAG
pith:2022:5IBRBCAGY4UUICAJ25TZZRJENW
not attested
not anchored
not stored
refs pending
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction
arxiv:2205.09587 v1 · 2022-05-19 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5IBRBCAGY4UUICAJ25TZZRJENW}
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 | 2026-07-05T04:24:46.445773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea03108806c729440809d7679cc5246d89a2763249a97a2941a092607a8f2925
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5IBRBCAGY4UUICAJ25TZZRJENW \
| 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: ea03108806c729440809d7679cc5246d89a2763249a97a2941a092607a8f2925
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28fb8fa84ed257d31e13c41ba18e53daf634280e9902fd012e3001873b3c1930",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-05-19T14:27:44Z",
"title_canon_sha256": "26bc9b70fd570c1183f87003d3b3e804a8ff4968c3674615042e983e7bd35f48"
},
"schema_version": "1.0",
"source": {
"id": "2205.09587",
"kind": "arxiv",
"version": 1
}
}