Pith Number
pith:FR6DGHUE
pith:2024:FR6DGHUEYBJ5EJZINNV67NLS77
not attested
not anchored
not stored
refs pending
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
arxiv:2409.12789 v3 · 2024-09-19 · eess.SY · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FR6DGHUEYBJ5EJZINNV67NLS77}
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.
Receipt and verification
| First computed | 2026-07-05T09:56:22.131739Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c7c331e84c053d227286b6befb572ffd269c52081119826b1bd9e50f2265dc8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FR6DGHUEYBJ5EJZINNV67NLS77 \
| 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: 2c7c331e84c053d227286b6befb572ffd269c52081119826b1bd9e50f2265dc8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1329c3bf99f351ae505eed9dadfa3953d545ad09b572a00cb9fe668293b24604",
"cross_cats_sorted": [
"cs.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2024-09-19T13:56:34Z",
"title_canon_sha256": "ec47e88ec0961fbe20941c3475d9bf590717faf574fa48742428dcb7b5fff162"
},
"schema_version": "1.0",
"source": {
"id": "2409.12789",
"kind": "arxiv",
"version": 3
}
}