Pith Number
pith:BZ4DZVVL
pith:2024:BZ4DZVVLZUDBKKFBHQFP3NBWT3
not attested
not anchored
not stored
refs pending
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
arxiv:2408.12814 v2 · 2024-08-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BZ4DZVVLZUDBKKFBHQFP3NBWT3}
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
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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 | 2026-07-05T11:52:56.390797Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e783cd6abcd061528a13c0afdb4369ecf50e26506890cd036a200b529eec554
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BZ4DZVVLZUDBKKFBHQFP3NBWT3 \
| 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: 0e783cd6abcd061528a13c0afdb4369ecf50e26506890cd036a200b529eec554
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "847b200230a0fc8ab52ed55c4f27d32a42bde46ab4216af559871d1ca8ab3009",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-08-23T03:19:20Z",
"title_canon_sha256": "d2bc434589ee95499f22fdf9d2c00c925112268177d9d45c57e0bf1a23c90d6d"
},
"schema_version": "1.0",
"source": {
"id": "2408.12814",
"kind": "arxiv",
"version": 2
}
}