Pith Number
pith:3O6Z6GYS
pith:2019:3O6Z6GYSMMYTF6KWC3KIKFOLX3
not attested
not anchored
not stored
refs pending
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
arxiv:1906.12193 v8 · 2019-06-28 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3O6Z6GYSMMYTF6KWC3KIKFOLX3}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:37:22.644640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbbd9f1b12633132f95616d48515cbbed619acdcd87f2606207dc58bb6452aef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3O6Z6GYSMMYTF6KWC3KIKFOLX3 \
| 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: dbbd9f1b12633132f95616d48515cbbed619acdcd87f2606207dc58bb6452aef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95bb79da1811d0bb9312c802a7859ef472dc1fe19ad90ef2d46cb550b03a5b11",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-06-28T13:07:36Z",
"title_canon_sha256": "c8585789f1ff7d2cb0bdf6c82e3dd7c332ffff0c6e7349d58315951f7e958a9a"
},
"schema_version": "1.0",
"source": {
"id": "1906.12193",
"kind": "arxiv",
"version": 8
}
}