Pith Number
pith:5MR37ZRM
pith:2018:5MR37ZRMY5FHPJMKFJRE6PHMQE
not attested
not anchored
not stored
refs pending
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
arxiv:1802.07167 v3 · 2018-02-20 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5MR37ZRMY5FHPJMKFJRE6PHMQE}
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 | 2026-05-17T23:49:05.960448Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb23bfe62cc74a77a58a2a624f3cec81338a7aacc613c61efbaa88b7f94cbd16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5MR37ZRMY5FHPJMKFJRE6PHMQE \
| 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: eb23bfe62cc74a77a58a2a624f3cec81338a7aacc613c61efbaa88b7f94cbd16
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12a1829ebd222f1f7dddbf2ef2d696bf078f4f85a6f6feaf06e4d80701eca5e9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-02-20T16:02:21Z",
"title_canon_sha256": "b239dd1e80d5ea7676df1442189f6516bf41223e8380584c79ca1f1046d6e0e7"
},
"schema_version": "1.0",
"source": {
"id": "1802.07167",
"kind": "arxiv",
"version": 3
}
}