Pith Number
pith:DT5G3RIH
pith:2022:DT5G3RIH7N7N2LFSIZKE7OHQ2H
not attested
not anchored
not stored
refs pending
Overcoming Annotation Bottlenecks in Underwater Fish Segmentation: A Robust Self-Supervised Learning Approach
arxiv:2206.05390 v2 · 2022-06-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DT5G3RIH7N7N2LFSIZKE7OHQ2H}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:20:08.936875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1cfa6dc507fb7edd2cb246544fb8f0d1cc2f90531433e9ed5c6c7b3288b75467
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DT5G3RIH7N7N2LFSIZKE7OHQ2H \
| 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: 1cfa6dc507fb7edd2cb246544fb8f0d1cc2f90531433e9ed5c6c7b3288b75467
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "042dfc704ef09550b74737bcbc35c1bef6179eb8f04d01ccc58aed9d9f69cde7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-06-11T01:20:48Z",
"title_canon_sha256": "3b36386fa1181c9b6a8fd0ba8cfb77f19f83f0730557d2b8d0f7b347757eeb63"
},
"schema_version": "1.0",
"source": {
"id": "2206.05390",
"kind": "arxiv",
"version": 2
}
}