Pith Number
pith:CCTIPW2G
pith:2023:CCTIPW2G3WKSBSO2PMCATMRFTM
not attested
not anchored
not stored
refs pending
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
arxiv:2302.04303 v1 · 2023-02-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CCTIPW2G3WKSBSO2PMCATMRFTM}
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Record completeness
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4
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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 | 2026-07-05T05:40:12.179841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
10a687db46dd9520c9da7b0409b2259b1b80a4f4ecb649cf51a878c7161cf8ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CCTIPW2G3WKSBSO2PMCATMRFTM \
| 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: 10a687db46dd9520c9da7b0409b2259b1b80a4f4ecb649cf51a878c7161cf8ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "df4c7086dfda89b72338482bb12855665113c46e053d14ce0f976142413bbbc7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-02-08T19:38:13Z",
"title_canon_sha256": "2d4caed721cd908e15e5419069cab28a85d70c261cf5ad38c0cf91e42c074fcd"
},
"schema_version": "1.0",
"source": {
"id": "2302.04303",
"kind": "arxiv",
"version": 1
}
}