Pith Number
pith:7IHZL5HQ
pith:2024:7IHZL5HQPEUBDU6Y7VUW65O6CW
not attested
not anchored
not stored
refs pending
Frequency-Guided U-Net: Leveraging Attention Filter Gates and Fast Fourier Transformation for Enhanced Medical Image Segmentation
arxiv:2405.00683 v1 · 2024-02-25 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7IHZL5HQPEUBDU6Y7VUW65O6CW}
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
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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 | 2026-07-05T08:14:24.610329Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa0f95f4f0792811d3d8fd696f75de15a6f78ce975954e88769b79e55c81959b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7IHZL5HQPEUBDU6Y7VUW65O6CW \
| 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: fa0f95f4f0792811d3d8fd696f75de15a6f78ce975954e88769b79e55c81959b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0574bb3f20813c265dc5ad219c12d82070eda19afb347ea9a5830c88b04ecef2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-02-25T21:59:20Z",
"title_canon_sha256": "6ed293fd9ef3194d51f93f61a6b3261b990701bd16da1daf62f7b5ee623e02ac"
},
"schema_version": "1.0",
"source": {
"id": "2405.00683",
"kind": "arxiv",
"version": 1
}
}