Pith Number
pith:6KTGHF2F
pith:2022:6KTGHF2FNDK5FPX4KDGAJ2M4WL
not attested
not anchored
not stored
refs pending
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training
arxiv:2206.02288 v3 · 2022-06-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6KTGHF2FNDK5FPX4KDGAJ2M4WL}
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 | 2026-07-05T05:00:42.876021Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2a663974568d5d2befc50cc04e99cb2c628564ce2e9889e08f0fd833cc0e708
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6KTGHF2FNDK5FPX4KDGAJ2M4WL \
| 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: f2a663974568d5d2befc50cc04e99cb2c628564ce2e9889e08f0fd833cc0e708
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "561e752faf66b8f6e82e378e101bc267cdcb73b9d2fff706c803015bf922b99d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-06-05T23:48:00Z",
"title_canon_sha256": "e79dbe66577fa14243ada6c2a31509e512dcf60cbf542eaf5d2dde3d08edef8e"
},
"schema_version": "1.0",
"source": {
"id": "2206.02288",
"kind": "arxiv",
"version": 3
}
}