Pith Number
pith:IVXA6EQQ
pith:2025:IVXA6EQQHMK5XCULNIBP43AGGT
not attested
not anchored
not stored
refs pending
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
arxiv:2501.14265 v3 · 2025-01-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IVXA6EQQHMK5XCULNIBP43AGGT}
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 | 2026-07-30T01:18:47.264395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
456e0f12103b15db8a8b6a02fe6c0634fb6d402d78c1541bf2444a7341016fad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IVXA6EQQHMK5XCULNIBP43AGGT \
| 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: 456e0f12103b15db8a8b6a02fe6c0634fb6d402d78c1541bf2444a7341016fad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74d63347757acf1b8585a5cc57e425961cd2afb106447082f53fd76953e5e28a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-24T06:07:11Z",
"title_canon_sha256": "15fc58c88512c361b882fd24d27cfa0b0196271c0fb994503348eea81bad678f"
},
"schema_version": "1.0",
"source": {
"id": "2501.14265",
"kind": "arxiv",
"version": 3
}
}