Pith Number
pith:PLDUMIWD
pith:2025:PLDUMIWDVD6F2B4NDLGGTRV4X5
not attested
not anchored
not stored
refs pending
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning
arxiv:2501.17758 v2 · 2025-01-29 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PLDUMIWDVD6F2B4NDLGGTRV4X5}
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.
Receipt and verification
| First computed | 2026-07-05T11:09:07.183603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ac74622c3a8fc5d078d1acc69c6bcbf7f92c8b0eaeb7b1ffc79354fd00678c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PLDUMIWDVD6F2B4NDLGGTRV4X5 \
| 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: 7ac74622c3a8fc5d078d1acc69c6bcbf7f92c8b0eaeb7b1ffc79354fd00678c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a811fe63d018a56f2376667d4788556b1ea16e1be8de7249f9725a6c1aed749",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-01-29T16:50:04Z",
"title_canon_sha256": "79bb952c0f6a3ea6426a80ff39d12023156568dbb4d67be213fbbdd7a951fae0"
},
"schema_version": "1.0",
"source": {
"id": "2501.17758",
"kind": "arxiv",
"version": 2
}
}