Pith Number
pith:7YBVGDLZ
pith:2020:7YBVGDLZVZLWE6DXAFME47JFSS
not attested
not anchored
not stored
refs pending
Dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network
arxiv:2006.00149 v1 · 2020-05-30 · physics.med-ph · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YBVGDLZVZLWE6DXAFME47JFSS}
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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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 | 2026-07-05T01:06:58.017332Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe03530d79ae5762787701584e7d2594a959ef7bba6cef9927d3b25b35660035
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YBVGDLZVZLWE6DXAFME47JFSS \
| 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: fe03530d79ae5762787701584e7d2594a959ef7bba6cef9927d3b25b35660035
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56d085e0a374a3e69888bf98b99e028e9e7bb626b46c72865b9fa1658cb67a7a",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2020-05-30T02:19:46Z",
"title_canon_sha256": "5536c09894a4484b8cdc345bcc52df06b75110fcbdd45c113fe2ca8ec2f5ad9b"
},
"schema_version": "1.0",
"source": {
"id": "2006.00149",
"kind": "arxiv",
"version": 1
}
}