Pith Number
pith:4T4CYBYP
pith:2022:4T4CYBYPIUTDDHTZR6KOTEK7IM
not attested
not anchored
not stored
refs pending
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
arxiv:2210.16955 v2 · 2022-10-30 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4T4CYBYPIUTDDHTZR6KOTEK7IM}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:44:51.183661Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4f82c070f4526319e798f94e9915f43061a6c2bb9482435d3112d304a9cf28b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4T4CYBYPIUTDDHTZR6KOTEK7IM \
| 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: e4f82c070f4526319e798f94e9915f43061a6c2bb9482435d3112d304a9cf28b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e0b08a75af1ae22d90daf79bb2c1474471b10bf31a50f4722d4a27fb8a8341f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-10-30T21:27:29Z",
"title_canon_sha256": "28048c284dea4a9b2a133d98eb778224cefe9de459b9957ce6de82c2a56ee3b1"
},
"schema_version": "1.0",
"source": {
"id": "2210.16955",
"kind": "arxiv",
"version": 2
}
}