Pith Number
pith:GHNRNL5W
pith:2023:GHNRNL5WU4XA7IXGASYHOR4A3N
not attested
not anchored
not stored
refs pending
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation
arxiv:2309.06618 v3 · 2023-09-12 · cs.CV · q-bio.TO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHNRNL5WU4XA7IXGASYHOR4A3N}
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 | 2026-07-05T07:24:53.693005Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31db16afb6a72e0fa2e604b0774780db770d5485202dd33cf08c250146df1535
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHNRNL5WU4XA7IXGASYHOR4A3N \
| 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: 31db16afb6a72e0fa2e604b0774780db770d5485202dd33cf08c250146df1535
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35e6410b88c79fc707fbab99a7f5554bbf5591bfc5993483f39b56efaebb9141",
"cross_cats_sorted": [
"q-bio.TO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-12T22:21:14Z",
"title_canon_sha256": "4dca35ba5f96791d31aa297c637b24bfefa4d39725b8e53125482891f754add7"
},
"schema_version": "1.0",
"source": {
"id": "2309.06618",
"kind": "arxiv",
"version": 3
}
}