Pith Number
pith:ILHS7X4M
pith:2020:ILHS7X4M5SXI5MTV3J62LGTLZ5
not attested
not anchored
not stored
refs pending
Learning Model Predictive Control for Competitive Autonomous Racing
arxiv:2005.00826 v1 · 2020-05-02 · cs.LG · cs.RO · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ILHS7X4M5SXI5MTV3J62LGTLZ5}
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 | 2026-07-05T01:00:01.120406Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
42cf2fdf8cecae8eb275da7da59a6bcf6e7980aebcd117189ee6aea16a04ada6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ILHS7X4M5SXI5MTV3J62LGTLZ5 \
| 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: 42cf2fdf8cecae8eb275da7da59a6bcf6e7980aebcd117189ee6aea16a04ada6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a52c46a596a8e3ba718d0bab53adca71e3aa7b8c74fcd953b266289334c969f4",
"cross_cats_sorted": [
"cs.RO",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-05-02T13:05:31Z",
"title_canon_sha256": "88dbc03d9b93ab16896bbac1f11fcae7efc100f37d18901b873bf140215dfcd6"
},
"schema_version": "1.0",
"source": {
"id": "2005.00826",
"kind": "arxiv",
"version": 1
}
}