Pith Number
pith:FIDH4KCV
pith:2021:FIDH4KCVZXNZOM6QVY7ZJHFQRT
not attested
not anchored
not stored
refs pending
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
arxiv:2102.05210 v1 · 2021-02-10 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FIDH4KCVZXNZOM6QVY7ZJHFQRT}
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 | 2026-07-05T02:14:16.215537Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a067e2855cddb9733d0ae3f949cb08cdc529ec4acd399ceeeceb535dba1a397
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FIDH4KCVZXNZOM6QVY7ZJHFQRT \
| 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: 2a067e2855cddb9733d0ae3f949cb08cdc529ec4acd399ceeeceb535dba1a397
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e365f9fd4ce4a041b1e7d4aaa66ad0548287916bade231fc62ff582b11a3932a",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-02-10T01:21:59Z",
"title_canon_sha256": "f79e062c0707601e88a39f82e80ef0f15496edf76cee1851a596c988e34839df"
},
"schema_version": "1.0",
"source": {
"id": "2102.05210",
"kind": "arxiv",
"version": 1
}
}