Pith Number
pith:467JGCL7
pith:2022:467JGCL7LB2XTRZYVX7UPXBCDB
not attested
not anchored
not stored
refs pending
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
arxiv:2211.01498 v1 · 2022-11-02 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{467JGCL7LB2XTRZYVX7UPXBCDB}
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 | 2026-07-05T05:12:56.714613Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e7be93097f587579c738adff47dc22187cf589dcdc176bd1ef9be451161a8455
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/467JGCL7LB2XTRZYVX7UPXBCDB \
| 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: e7be93097f587579c738adff47dc22187cf589dcdc176bd1ef9be451161a8455
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50bc3b72337546d26780d67d3a49a20a75ee801d0b73f77500387406b0184dda",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-11-02T21:57:24Z",
"title_canon_sha256": "a334fe2ee2e6fe3f1a17447a97d1fb4426b0cee733bda539453974ee61cffa12"
},
"schema_version": "1.0",
"source": {
"id": "2211.01498",
"kind": "arxiv",
"version": 1
}
}