Pith Number
pith:24IRTJP5
pith:2024:24IRTJP5GD4TCMMZ4L3XVJVK6A
not attested
not anchored
not stored
refs pending
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
arxiv:2407.05259 v1 · 2024-07-07 · eess.IV · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{24IRTJP5GD4TCMMZ4L3XVJVK6A}
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
✓
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 | 2026-07-05T08:41:10.421028Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d71119a5fd30f9313199e2f77aa6aaf00814aa8a8fdf36943fb01019da020b78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/24IRTJP5GD4TCMMZ4L3XVJVK6A \
| 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: d71119a5fd30f9313199e2f77aa6aaf00814aa8a8fdf36943fb01019da020b78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4264a545f5a857fec2954207a8fa8a2d85defc41ec63b20844e8aca55f2fc3ba",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-07-07T05:11:00Z",
"title_canon_sha256": "b3477dfcb8111d4547e0ef81dafca3ed261d248082c8fcf9b4557b4f1e60f13b"
},
"schema_version": "1.0",
"source": {
"id": "2407.05259",
"kind": "arxiv",
"version": 1
}
}