Pith Number
pith:VOUODPIZ
pith:2025:VOUODPIZP2ROBRLUWDGBXA4ING
not attested
not anchored
not stored
refs pending
Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
arxiv:2502.05320 v1 · 2025-02-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VOUODPIZP2ROBRLUWDGBXA4ING}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:11:35.900467Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aba8e1bd197ea2e0c574b0cc1b83886989e8842ea04c6c1137ee947af9af1566
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VOUODPIZP2ROBRLUWDGBXA4ING \
| 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: aba8e1bd197ea2e0c574b0cc1b83886989e8842ea04c6c1137ee947af9af1566
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "150b9c49d011c49b3b81ac6144d7d3951cb70714aa3ec26652f8c4ecef8d7465",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-07T20:39:23Z",
"title_canon_sha256": "772264664f45c4dd800469594b285bc425476dd6d5082ef10f0b1764df58a784"
},
"schema_version": "1.0",
"source": {
"id": "2502.05320",
"kind": "arxiv",
"version": 1
}
}