Pith Number
pith:D3GQYQZA
pith:2025:D3GQYQZAPHCUFKD5V32HEEZPQH
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refs pending
Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy
arxiv:2507.06966 v1 · 2025-07-09 · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D3GQYQZAPHCUFKD5V32HEEZPQH}
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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 | 2026-07-05T11:34:25.816911Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ecd0c432079c542a87daef472132f81fccd298fbe3b1f1f5cc98ef9befd09a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D3GQYQZAPHCUFKD5V32HEEZPQH \
| 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: 1ecd0c432079c542a87daef472132f81fccd298fbe3b1f1f5cc98ef9befd09a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffe241aaba8002505ec278b86c8354adb5513da457b43450f5264d31347815ec",
"cross_cats_sorted": [
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-09T15:55:32Z",
"title_canon_sha256": "6a4e8dc41a4ece8975d29de4052742b5e74ff093146b0c35d869c04e792b2268"
},
"schema_version": "1.0",
"source": {
"id": "2507.06966",
"kind": "arxiv",
"version": 1
}
}