Pith Number
pith:VO6CD6CV
pith:2022:VO6CD6CVXYJGHPBKUFEA3FW77Y
not attested
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refs pending
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
arxiv:2201.05340 v1 · 2022-01-14 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VO6CD6CVXYJGHPBKUFEA3FW77Y}
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Record completeness
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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 | 2026-07-05T03:48:22.507970Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
abbc21f855be1263bc2aa1480d96dffe208133cc4e97e5fc9131606999b56cba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VO6CD6CVXYJGHPBKUFEA3FW77Y \
| 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: abbc21f855be1263bc2aa1480d96dffe208133cc4e97e5fc9131606999b56cba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d51bd1fb1f479c4ea9658814221f4c1bdafc949970d9f51c3d2e29a03948469a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-01-14T08:44:25Z",
"title_canon_sha256": "f32169ba6ef6f3f9ccff2917e21e72c8f8d5c6bb6044b7c0eaac43156af9beee"
},
"schema_version": "1.0",
"source": {
"id": "2201.05340",
"kind": "arxiv",
"version": 1
}
}