Pith Number
pith:EN4NFFS2
pith:2017:EN4NFFS2AHMBFP3ABCHLHAFCJA
not attested
not anchored
not stored
refs pending
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
arxiv:1706.04737 v1 · 2017-06-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EN4NFFS2AHMBFP3ABCHLHAFCJA}
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 | 2026-05-18T00:42:19.278845Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2378d2965a01d812bf60088eb380a2483e9c95773267f8725d6fafee9813113f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EN4NFFS2AHMBFP3ABCHLHAFCJA \
| 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: 2378d2965a01d812bf60088eb380a2483e9c95773267f8725d6fafee9813113f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f8ae58c3208232013eaaf9986bfc30e2c2e175e3c31cee52081cdf5fee74aaf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-06-15T05:01:53Z",
"title_canon_sha256": "d98083f6f6f9299d750f13e0c2d7f70fe087c66cdca988785c76240a604ae1b2"
},
"schema_version": "1.0",
"source": {
"id": "1706.04737",
"kind": "arxiv",
"version": 1
}
}