Pith Number
pith:6U6XYYBW
pith:2022:6U6XYYBWZUP3LQV6UFGZGGHWOL
not attested
not anchored
not stored
refs pending
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
arxiv:2202.09515 v1 · 2022-02-19 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6U6XYYBWZUP3LQV6UFGZGGHWOL}
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
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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 | 2026-07-05T03:58:23.342070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f53d7c6036cd1fb5c2bea14d9318f672c70bf43ffcb33b33a52214cf612faee0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6U6XYYBWZUP3LQV6UFGZGGHWOL \
| 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: f53d7c6036cd1fb5c2bea14d9318f672c70bf43ffcb33b33a52214cf612faee0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a784b9f311a9a1af5dee40732fad7abd869f9f312cbb7d1a2d2701248c5f70a8",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-02-19T03:44:34Z",
"title_canon_sha256": "e608ebd9e1abc8de46aa59d837424d89e9accb1a7a48390224e8b511d794bc82"
},
"schema_version": "1.0",
"source": {
"id": "2202.09515",
"kind": "arxiv",
"version": 1
}
}