Pith Number
pith:SSEJFRFO
pith:2025:SSEJFRFO2JGYJA3OF4A5P4CSRS
not attested
not anchored
not stored
refs pending
Dual Deep Learning Approach for Non-invasive Renal Tumour Subtyping with VERDICT-MRI
arxiv:2504.07246 v2 · 2025-04-09 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SSEJFRFO2JGYJA3OF4A5P4CSRS}
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 | 2026-07-05T10:49:53.182396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
948892c4aed24d84836e2f01d7f0528cbcde51baf6aaafa503c5dac88f11351e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SSEJFRFO2JGYJA3OF4A5P4CSRS \
| 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: 948892c4aed24d84836e2f01d7f0528cbcde51baf6aaafa503c5dac88f11351e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2fe6ff8cc8affb490a46fbf149e9064f7544da9354b7f5c0cd2d96d69f0163c6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-04-09T19:35:31Z",
"title_canon_sha256": "f857f6399ab77cece5f8793287f2c8123885cac4b5b09c294e2e8aff57e4bdbe"
},
"schema_version": "1.0",
"source": {
"id": "2504.07246",
"kind": "arxiv",
"version": 2
}
}