Pith Number
pith:XLONDL3C
pith:2024:XLONDL3CPPEC4ZU73QJ7DKJF5C
not attested
not anchored
not stored
refs pending
Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data
arxiv:2412.07520 v1 · 2024-12-10 · cs.LG · cs.IT · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XLONDL3CPPEC4ZU73QJ7DKJF5C}
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 | 2026-07-05T09:47:10.956933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
badcd1af627bc82e669fdc13f1a925e8a34131de9d62f3b7fa00cf83e48e36cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XLONDL3CPPEC4ZU73QJ7DKJF5C \
| 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: badcd1af627bc82e669fdc13f1a925e8a34131de9d62f3b7fa00cf83e48e36cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cce5f5a89dc0d9233993f3627fee938209419855b9c7e1aaa8b757b2e9c3cab4",
"cross_cats_sorted": [
"cs.IT",
"math.IT"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-10T13:58:19Z",
"title_canon_sha256": "f04cb5a22e06bad01335f79ef0aedcd83abc2b6b60982604f5f7801f6428ce29"
},
"schema_version": "1.0",
"source": {
"id": "2412.07520",
"kind": "arxiv",
"version": 1
}
}