Pith Number
pith:3LM2LGJJ
pith:2021:3LM2LGJJ2PEL4TR6PRINAZFGTK
not attested
not anchored
not stored
refs pending
Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction
arxiv:2106.09424 v1 · 2021-06-17 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3LM2LGJJ2PEL4TR6PRINAZFGTK}
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 | 2026-07-05T02:50:16.098431Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dad9a59929d3c8be4e3e7c50d064a69a84bd56c9cb0e2b86968bd03e2e98e74c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LM2LGJJ2PEL4TR6PRINAZFGTK \
| 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: dad9a59929d3c8be4e3e7c50d064a69a84bd56c9cb0e2b86968bd03e2e98e74c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a742b63341b87c052e629fa6d5ac79ed3cf45edb03759d0dbb2532f81624732",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-17T12:17:10Z",
"title_canon_sha256": "79e5c67ec023f068a2b338ab993b8d235c8157e0058e0714d1368f7a06e6988f"
},
"schema_version": "1.0",
"source": {
"id": "2106.09424",
"kind": "arxiv",
"version": 1
}
}