Pith Number
pith:AMHMSLXS
pith:2021:AMHMSLXSEC6WLZVVMFV6GF7BVB
not attested
not anchored
not stored
refs pending
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
arxiv:2104.06231 v2 · 2021-04-13 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AMHMSLXSEC6WLZVVMFV6GF7BVB}
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
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Internet Archive
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claim
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 | 2026-07-05T02:33:33.586225Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
030ec92ef220bd65e6b5616be317e1a8543d6e0bdc820436929f6b59137ebd3c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AMHMSLXSEC6WLZVVMFV6GF7BVB \
| 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: 030ec92ef220bd65e6b5616be317e1a8543d6e0bdc820436929f6b59137ebd3c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8cae9279ce8d073b9e659e9ac20425b5e9327d8a8914fd24ce8832f32b9d6b2",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-04-13T14:21:09Z",
"title_canon_sha256": "56ec827654d38361ded5733445f173a8951722986e2a8777b0083395498b5144"
},
"schema_version": "1.0",
"source": {
"id": "2104.06231",
"kind": "arxiv",
"version": 2
}
}