Pith Number
pith:MHIMAVFD
pith:2017:MHIMAVFDOAPN3EACVFFVXKJTO3
not attested
not anchored
not stored
refs pending
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
arxiv:1709.02435 v1 · 2017-09-07 · cs.AI · cs.LG · cs.SE · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MHIMAVFDOAPN3EACVFFVXKJTO3}
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 | 2026-05-18T00:35:45.818886Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61d0c054a3701edd9002a94b5ba93376c2e3fe9bd49e1ae85a336f39f66dee5c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MHIMAVFDOAPN3EACVFFVXKJTO3 \
| 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: 61d0c054a3701edd9002a94b5ba93376c2e3fe9bd49e1ae85a336f39f66dee5c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f519b5e6ff470bb5fbe91ad732c91257a3e41fb27ca3c5daad4914e92bf8e450",
"cross_cats_sorted": [
"cs.LG",
"cs.SE",
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-09-07T20:10:56Z",
"title_canon_sha256": "bd14434366a1fc43af7b2740486088ab9998e1333ab582d75584ecd6130c3c98"
},
"schema_version": "1.0",
"source": {
"id": "1709.02435",
"kind": "arxiv",
"version": 1
}
}