Pith Number
pith:XYINF26Y
pith:2024:XYINF26YDKRSC3AXFJ7ZCOSF5N
not attested
not anchored
not stored
refs pending
Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features
arxiv:2406.13445 v1 · 2024-06-19 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XYINF26YDKRSC3AXFJ7ZCOSF5N}
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 | 2026-07-05T08:34:30.216048Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be10d2ebd81aa3216c172a7f913a45eb792f2e2327d5be1f78c8a5e975bfc5ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XYINF26YDKRSC3AXFJ7ZCOSF5N \
| 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: be10d2ebd81aa3216c172a7f913a45eb792f2e2327d5be1f78c8a5e975bfc5ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75becda750070e2afdfb3a164c2203bad7bcde5ff0503eab78c16d3bc53f180e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-06-19T11:11:38Z",
"title_canon_sha256": "da14f7e2c52dec1cd4a175a83a0bea323068e6aa1db446eec7f0ee10102fd7d2"
},
"schema_version": "1.0",
"source": {
"id": "2406.13445",
"kind": "arxiv",
"version": 1
}
}