Pith Number
pith:GTMWQFEQ
pith:2025:GTMWQFEQCENKRE37AEAKIBKMJJ
not attested
not anchored
not stored
refs pending
Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation
arxiv:2505.19733 v1 · 2025-05-26 · cs.CV · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GTMWQFEQCENKRE37AEAKIBKMJJ}
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.
Receipt and verification
| First computed | 2026-07-05T11:09:35.341371Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
34d9681490111aa8937f0100a4054c4a70f57731262921bc70ceddcabd188723
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GTMWQFEQCENKRE37AEAKIBKMJJ \
| 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: 34d9681490111aa8937f0100a4054c4a70f57731262921bc70ceddcabd188723
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dd5f8cd762c93178259634d891db49d6bff64a8427061cf1653ba8a0c8d07d07",
"cross_cats_sorted": [
"cs.CE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-26T09:18:58Z",
"title_canon_sha256": "42fdc26cd826a77832014e9c5e2caeaa2f915360f132291cbfd4df8736adf617"
},
"schema_version": "1.0",
"source": {
"id": "2505.19733",
"kind": "arxiv",
"version": 1
}
}