Pith Number
pith:LYKUOC6L
pith:2021:LYKUOC6LF3KA2FZQJAUBHDZEAQ
not attested
not anchored
not stored
refs pending
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
arxiv:2107.12045 v3 · 2021-07-26 · cs.LG · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYKUOC6LF3KA2FZQJAUBHDZEAQ}
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 | 2026-07-05T04:14:38.216114Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e15470bcb2ed40d17304828138f24043c1a8a49e390bd2c5cbfe02b48a1cbb0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYKUOC6LF3KA2FZQJAUBHDZEAQ \
| 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: 5e15470bcb2ed40d17304828138f24043c1a8a49e390bd2c5cbfe02b48a1cbb0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "74df122c03a25d5b1bcde23003ac7e0cb21255ab7f20413b8a29730a5e1042ea",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-07-26T09:03:22Z",
"title_canon_sha256": "1df34c3953528bcf8773443017e4e5a44e85c49f41868d4a81509d6504b7448d"
},
"schema_version": "1.0",
"source": {
"id": "2107.12045",
"kind": "arxiv",
"version": 3
}
}