Pith Number
pith:KF4Z7K7C
pith:2023:KF4Z7K7CUXE5FUYDJ43RK3T6IJ
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not anchored
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refs pending
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
arxiv:2307.08044 v2 · 2023-07-16 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KF4Z7K7CUXE5FUYDJ43RK3T6IJ}
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 | 2026-07-05T06:33:33.935285Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51799fabe2a5c9d2d3034f37156e7e427b868b02608426c5443a8b1c684187cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KF4Z7K7CUXE5FUYDJ43RK3T6IJ \
| 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: 51799fabe2a5c9d2d3034f37156e7e427b868b02608426c5443a8b1c684187cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5456105ec13e698719837af9c839bba25ba5449d192489cbd06cf06f0e19635f",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-16T13:58:28Z",
"title_canon_sha256": "bbb52f7d19a0a34e5bee1aa5f042ad76fe7fd6569ee2a3efdce4476b14fd458f"
},
"schema_version": "1.0",
"source": {
"id": "2307.08044",
"kind": "arxiv",
"version": 2
}
}