Pith Number
pith:ER6INJJB
pith:2019:ER6INJJB4UH57P2RKTKZCX56TP
not attested
not anchored
not stored
refs pending
An Online Learning Approach to Model Predictive Control
arxiv:1902.08967 v3 · 2019-02-24 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ER6INJJB4UH57P2RKTKZCX56TP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T00:10:50.585419Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
247c86a521e50fdfbf5154d5915fbe9bc35efbfcd8f31eac620fec44f59aeefa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ER6INJJB4UH57P2RKTKZCX56TP \
| 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: 247c86a521e50fdfbf5154d5915fbe9bc35efbfcd8f31eac620fec44f59aeefa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "45910fd76ee30de9db25b36a3e3f2ba66bd1fc10515ee3a79420f0b68127efdd",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-02-24T15:52:09Z",
"title_canon_sha256": "708352bded7f28d53cf6b353e441aefabbda47c1ba84c8d05646a68054211f98"
},
"schema_version": "1.0",
"source": {
"id": "1902.08967",
"kind": "arxiv",
"version": 3
}
}