Pith Number
pith:Y3M3Q6YM
pith:2024:Y3M3Q6YMXIEF5FIZKWU7U5EYO5
not attested
not anchored
not stored
refs pending
Revisiting MAE pre-training for 3D medical image segmentation
arxiv:2410.23132 v3 · 2024-10-30 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y3M3Q6YMXIEF5FIZKWU7U5EYO5}
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 | 2026-07-05T10:44:19.223603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c6d9b87b0cba085e951955a9fa7498774320c6d058c1fb12a9cb808d1e6c2094
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y3M3Q6YMXIEF5FIZKWU7U5EYO5 \
| 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: c6d9b87b0cba085e951955a9fa7498774320c6d058c1fb12a9cb808d1e6c2094
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc38716be025702f44c70e909b3b81c1a697d3dfc6cbb56a6a01da67804baecc",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-30T15:42:59Z",
"title_canon_sha256": "8123beb19f05a63e5155348773720c384ffbda11c76dfa5136ff414d643f3709"
},
"schema_version": "1.0",
"source": {
"id": "2410.23132",
"kind": "arxiv",
"version": 3
}
}