Pith Number
pith:OAH4LT4L
pith:2024:OAH4LT4LYRKUH3FSJLMEJ3UNHB
not attested
not anchored
not stored
refs pending
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data
arxiv:2407.01419 v1 · 2024-07-01 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OAH4LT4LYRKUH3FSJLMEJ3UNHB}
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 | 2026-07-05T08:38:47.712700Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
700fc5cf8bc45543ecb24ad844ee8d38497250926ee01bd44dc79af3245b176e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OAH4LT4LYRKUH3FSJLMEJ3UNHB \
| 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: 700fc5cf8bc45543ecb24ad844ee8d38497250926ee01bd44dc79af3245b176e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5481c0b64a45e4b4845d894dfb910b67a8a4ab5a5cc5330ca8db535e0507b75b",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-07-01T16:09:07Z",
"title_canon_sha256": "a30705f7a232014e1e0b5c33ec50363e53a1d86066aa55c96ff8f5a4a83de1ca"
},
"schema_version": "1.0",
"source": {
"id": "2407.01419",
"kind": "arxiv",
"version": 1
}
}