Pith Number
pith:NT2XN2OE
pith:2026:NT2XN2OE6RQDFLYUMR6JJO6QEA
not attested
not anchored
not stored
refs pending
Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction
arxiv:2606.02892 v1 · 2026-06-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NT2XN2OE6RQDFLYUMR6JJO6QEA}
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 | 2026-06-03T01:05:25.870594Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6cf576e9c4f46032af14647c94bbd02022b7d9fda24d7acd37830426cd06a897
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NT2XN2OE6RQDFLYUMR6JJO6QEA \
| 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: 6cf576e9c4f46032af14647c94bbd02022b7d9fda24d7acd37830426cd06a897
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "99f7dd9ccf137d2ea1c347b9fd4cb059ec9d15e9565e4a78a18cb276510a737f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-01T21:06:07Z",
"title_canon_sha256": "f3446307360cf9ee0e491e230f897d037202bc0c18e51c4f22687592bbe9beb9"
},
"schema_version": "1.0",
"source": {
"id": "2606.02892",
"kind": "arxiv",
"version": 1
}
}