Pith Number
pith:Q435R5S5
pith:2017:Q435R5S5Y6QAOPPPXRXZ3FFIFN
not attested
not anchored
not stored
refs pending
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
arxiv:1708.00961 v2 · 2017-08-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q435R5S5Y6QAOPPPXRXZ3FFIFN}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-05-18T00:10:47.540399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8737d8f65dc7a0073defbc6f9d94a82b62e0191548a1946c2b63a72175029498
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q435R5S5Y6QAOPPPXRXZ3FFIFN \
| 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: 8737d8f65dc7a0073defbc6f9d94a82b62e0191548a1946c2b63a72175029498
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "979ac13fad3ca6c2e264ebac620e16dc80c152526b5a9e4ba466ba212f6b5ada",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-03T00:37:11Z",
"title_canon_sha256": "230ce2095e6f0f58c4211b51ad5b29fb8f2b9883926754a1705175805008ca8c"
},
"schema_version": "1.0",
"source": {
"id": "1708.00961",
"kind": "arxiv",
"version": 2
}
}