Pith Number
pith:W5PZJW4Y
pith:2018:W5PZJW4YNBL5LHPYQUT6SOY4KE
not attested
not anchored
not stored
refs pending
Recurrent Neural Network-based Model Predictive Control for Continuous Pharmaceutical Manufacturing
arxiv:1807.09556 v1 · 2018-07-25 · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W5PZJW4YNBL5LHPYQUT6SOY4KE}
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 | 2026-05-18T00:09:51.040802Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b75f94db986857d59df88527e93b1c513f3e7ba0ddd958a34aa2adb371b56dd3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W5PZJW4YNBL5LHPYQUT6SOY4KE \
| 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: b75f94db986857d59df88527e93b1c513f3e7ba0ddd958a34aa2adb371b56dd3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4608a8aaaa49aa8e2e916daa0b7030f23462b16b712caea6743966f2128ac9aa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SY",
"submitted_at": "2018-07-25T12:53:23Z",
"title_canon_sha256": "0fd91ad37e70e2edd858305eeac4af9feac2408c35cd45730f1e21c2f9f64a54"
},
"schema_version": "1.0",
"source": {
"id": "1807.09556",
"kind": "arxiv",
"version": 1
}
}