Pith Number
pith:KP37WB6H
pith:2022:KP37WB6HNQQ7VSYW2H6FO6QWX4
not attested
not anchored
not stored
refs pending
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors
arxiv:2212.07352 v1 · 2022-12-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KP37WB6HNQQ7VSYW2H6FO6QWX4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:25:24.139907Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53f7fb07c76c21facb16d1fc577a16bf0140379a047f3d8ae72e3f41f7191fae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KP37WB6HNQQ7VSYW2H6FO6QWX4 \
| 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: 53f7fb07c76c21facb16d1fc577a16bf0140379a047f3d8ae72e3f41f7191fae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "82db96669ac8562581e1752b1f86601c3d960064fc848833833ecc6cd2d83290",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-12-14T17:26:35Z",
"title_canon_sha256": "3ce23689831409bf9c067b6dec7b79091401296335e495a5bbf03937dfa50fe1"
},
"schema_version": "1.0",
"source": {
"id": "2212.07352",
"kind": "arxiv",
"version": 1
}
}