Pith Number
pith:7JUJTM3B
pith:2023:7JUJTM3BDSI5AFRVCNCG7JSQKG
not attested
not anchored
not stored
refs pending
Active learning for medical image segmentation with stochastic batches
arxiv:2301.07670 v2 · 2023-01-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7JUJTM3BDSI5AFRVCNCG7JSQKG}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:49:01.752081Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa6899b3611c91d0163513446fa65051b738799b63c9b1b1e80e6f8c2a07c2bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7JUJTM3BDSI5AFRVCNCG7JSQKG \
| 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: fa6899b3611c91d0163513446fa65051b738799b63c9b1b1e80e6f8c2a07c2bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "31fb7d216c3a95aa2bd37596c007e1b5c9836c47e1b48c722099735d63a0fa4e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-01-18T17:25:55Z",
"title_canon_sha256": "8010d9a70fd1673a34a73c1bcc84810ef6958e59fe4a456a56e5ee21f78dcc1f"
},
"schema_version": "1.0",
"source": {
"id": "2301.07670",
"kind": "arxiv",
"version": 2
}
}