Pith Number
pith:AP7II5X2
pith:2025:AP7II5X2XBNWADZTOUMKDSIE4A
not attested
not anchored
not stored
refs pending
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement
arxiv:2506.18323 v1 · 2025-06-23 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AP7II5X2XBNWADZTOUMKDSIE4A}
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.
Receipt and verification
| First computed | 2026-07-05T11:26:33.196471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03fe8476fab85b600f337518a1c904e037aa6994dcee320403a9cae6e7437ed5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AP7II5X2XBNWADZTOUMKDSIE4A \
| 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: 03fe8476fab85b600f337518a1c904e037aa6994dcee320403a9cae6e7437ed5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc3efcc8235a522bd04a5af90dd6fb852535f7996db1c4f14a74d7442ddc033f",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-23T06:11:55Z",
"title_canon_sha256": "a7c3f5f3233103bf7bdc2b98921166af139b27b993b8170cdb454a2a47f1e2a3"
},
"schema_version": "1.0",
"source": {
"id": "2506.18323",
"kind": "arxiv",
"version": 1
}
}