Pith Number
pith:UPEAWZ6P
pith:2022:UPEAWZ6PJB7J34ZDUIN5JF4QP3
not attested
not anchored
not stored
refs pending
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
arxiv:2204.00142 v3 · 2022-04-01 · eess.SY · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UPEAWZ6PJB7J34ZDUIN5JF4QP3}
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 | 2026-07-05T04:45:18.805362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3c80b67cf487e9df323a21bd497907eec832b258d0466840e75b5563e29db20
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPEAWZ6PJB7J34ZDUIN5JF4QP3 \
| 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: a3c80b67cf487e9df323a21bd497907eec832b258d0466840e75b5563e29db20
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "71b0d6878c27c5117d4002ace4955c94d9f2952309d2252ebc10d00a86d6308e",
"cross_cats_sorted": [
"cs.SY"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2022-04-01T00:04:27Z",
"title_canon_sha256": "2b624bc5d9a9326a13cd011700f47f19479742c71030f8ad7a964ff04e36e3e4"
},
"schema_version": "1.0",
"source": {
"id": "2204.00142",
"kind": "arxiv",
"version": 3
}
}