Pith Number
pith:5FVBCHPQ
pith:2022:5FVBCHPQADTHCFPZX4SN6GNKA3
not attested
not anchored
not stored
refs pending
On Calibrated Model Uncertainty in Deep Learning
arxiv:2206.07795 v1 · 2022-06-15 · cs.LG · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5FVBCHPQADTHCFPZX4SN6GNKA3}
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 | 2026-07-05T04:32:18.297392Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e96a111df000e67115f9bf24df19aa06d7d7f41b268d3c436663ec5a69f146e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5FVBCHPQADTHCFPZX4SN6GNKA3 \
| 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: e96a111df000e67115f9bf24df19aa06d7d7f41b268d3c436663ec5a69f146e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04fdc3c261312f05b9b5fe1084b6efffba4c1b0cce1542d3074a6d313715272c",
"cross_cats_sorted": [
"cs.CV",
"eess.IV"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-15T20:16:32Z",
"title_canon_sha256": "5ec0e306a8444eaebfc9819b30c4c4d1f1feaec2dde796d09a63940720d3713d"
},
"schema_version": "1.0",
"source": {
"id": "2206.07795",
"kind": "arxiv",
"version": 1
}
}