Pith Number
pith:W4VD3FLL
pith:2021:W4VD3FLLJDF2WVWXF2U5CFUXRC
not attested
not anchored
not stored
refs pending
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
arxiv:2108.03534 v1 · 2021-08-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W4VD3FLLJDF2WVWXF2U5CFUXRC}
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 | 2026-07-05T08:37:34.421012Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b72a3d956b48cbab56d72ea9d1169788b257c0060ae0e306f0f17dea96ca9d39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W4VD3FLLJDF2WVWXF2U5CFUXRC \
| 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: b72a3d956b48cbab56d72ea9d1169788b257c0060ae0e306f0f17dea96ca9d39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b54db0b8928e7473d0f83a656111bd4e66e033e7117dc2c88552d4b2a9c7998",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-08-07T22:30:53Z",
"title_canon_sha256": "0ffe74a77fe16354716b5a89af79f5fcc8790daf8fef7b41b791cf66791445bf"
},
"schema_version": "1.0",
"source": {
"id": "2108.03534",
"kind": "arxiv",
"version": 1
}
}