Pith Number
pith:6LSCLZWP
pith:2024:6LSCLZWPCBGPIBH6HJXJSG5H2W
not attested
not anchored
not stored
refs pending
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
arxiv:2405.02634 v1 · 2024-05-04 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6LSCLZWPCBGPIBH6HJXJSG5H2W}
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 | 2026-07-05T08:15:51.444942Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2e425e6cf104cf404fe3a6e991ba7d5a492e048a0709df2e0a58b659670f053
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6LSCLZWPCBGPIBH6HJXJSG5H2W \
| 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: f2e425e6cf104cf404fe3a6e991ba7d5a492e048a0709df2e0a58b659670f053
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a4eb1868436d57cefabe8b3f212b05030551ba681fce1103af4dd4eec2ae5bbd",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-04T11:05:52Z",
"title_canon_sha256": "4c987546db90346d187988eab2f1bffeb65a91c121a795b8a2293e33ef4de0d6"
},
"schema_version": "1.0",
"source": {
"id": "2405.02634",
"kind": "arxiv",
"version": 1
}
}