Pith Number
pith:63CQG53I
pith:2023:63CQG53IRZQ4M3EKXKU5EBF7L5
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not anchored
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refs pending
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
arxiv:2306.08913 v2 · 2023-06-15 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{63CQG53IRZQ4M3EKXKU5EBF7L5}
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 | 2026-07-05T06:43:49.999620Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6c50377688e61c66c8abaa9d204bf5f4f92ab518a3f5a1871dad2acbb28bb6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/63CQG53IRZQ4M3EKXKU5EBF7L5 \
| 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: f6c50377688e61c66c8abaa9d204bf5f4f92ab518a3f5a1871dad2acbb28bb6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a770b58693ef9a6799ba67510cc2f468578c167ff7d26b8c9e910d4db3a7cc7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-15T07:32:10Z",
"title_canon_sha256": "13327dbde0e20a90aabc8662f182ae002b4c230fec865691b1e603f49f2a22fc"
},
"schema_version": "1.0",
"source": {
"id": "2306.08913",
"kind": "arxiv",
"version": 2
}
}