Pith Number
pith:MZLE6W4O
pith:2021:MZLE6W4OI26UDXMZNVYF5UBTEX
not attested
not anchored
not stored
refs pending
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data
arxiv:2102.00637 v1 · 2021-02-01 · cs.LG · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MZLE6W4OI26UDXMZNVYF5UBTEX}
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 | 2026-07-05T02:28:55.413066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66564f5b8e46bd41dd996d705ed03325c9f1d08bbef479632b732214b74538e2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MZLE6W4OI26UDXMZNVYF5UBTEX \
| 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: 66564f5b8e46bd41dd996d705ed03325c9f1d08bbef479632b732214b74538e2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69c81a5e570f0ebb8417ab2d2538f54ecb0bdeb0c809e6690762d64aecb8e813",
"cross_cats_sorted": [
"q-bio.QM"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-01T05:02:31Z",
"title_canon_sha256": "40117fd18012571f179afb3816c53a706b4d7c554ac82535a8868318a55d4831"
},
"schema_version": "1.0",
"source": {
"id": "2102.00637",
"kind": "arxiv",
"version": 1
}
}