Pith Number
pith:ZIIP6GGW
pith:2019:ZIIP6GGWGXO7BYFPQJS6LPL4JT
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not anchored
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refs pending
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
arxiv:1905.08663 v2 · 2019-05-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZIIP6GGWGXO7BYFPQJS6LPL4JT}
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.
Receipt and verification
| First computed | 2026-07-05T00:05:45.304517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ca10ff18d635ddf0e0af8265e5bd7c4cc37b54f3de81e3d0374f94193723776f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZIIP6GGWGXO7BYFPQJS6LPL4JT \
| 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: ca10ff18d635ddf0e0af8265e5bd7c4cc37b54f3de81e3d0374f94193723776f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d885bbcccb048a09814d6377bc03fcbe7654c6101bc43191f8a4cac296d0c4b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-21T14:25:36Z",
"title_canon_sha256": "4d6171f0ceeed90f622d55398c651e820a065b28ed9a5a89ba858f896ade7dd1"
},
"schema_version": "1.0",
"source": {
"id": "1905.08663",
"kind": "arxiv",
"version": 2
}
}