Pith Number
pith:SOLIXFH3
pith:2024:SOLIXFH3VUPB7SQD4TOJDFDR65
not attested
not anchored
not stored
refs pending
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
arxiv:2406.08634 v1 · 2024-06-12 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SOLIXFH3VUPB7SQD4TOJDFDR65}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T08:31:20.526553Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93968b94fbad1e1fca03e4dc919471f7702bce9f8320d399ce623e12ba9abc29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SOLIXFH3VUPB7SQD4TOJDFDR65 \
| 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: 93968b94fbad1e1fca03e4dc919471f7702bce9f8320d399ce623e12ba9abc29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0dc19ac135123d2e7ee7cfb8f48e4f53029aec7c954dc686ea575a222eb0c25a",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-06-12T20:35:16Z",
"title_canon_sha256": "29181c4ba865021cc3ff252d2fd8e9c3f533af5417bc38373d145533c92157f6"
},
"schema_version": "1.0",
"source": {
"id": "2406.08634",
"kind": "arxiv",
"version": 1
}
}