Pith Number
pith:7D5UYWLZ
pith:2022:7D5UYWLZRM746HQPAJGNJL33PJ
not attested
not anchored
not stored
refs pending
Distributionally Robust Model Predictive Control with Total Variation Distance
arxiv:2203.12062 v3 · 2022-03-22 · eess.SY · cs.RO · cs.SY · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7D5UYWLZRM746HQPAJGNJL33PJ}
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 | 2026-07-05T04:34:28.683375Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8fb4c59798b3fcf1e0f024cd4af7b7a5943979e850bc1b1369e73fd04aa6623
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7D5UYWLZRM746HQPAJGNJL33PJ \
| 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: f8fb4c59798b3fcf1e0f024cd4af7b7a5943979e850bc1b1369e73fd04aa6623
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20d5e83c70f681419dbe5a23aad212ec573be929196bd0b327b25d45f1c4da2f",
"cross_cats_sorted": [
"cs.RO",
"cs.SY",
"math.OC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2022-03-22T21:46:49Z",
"title_canon_sha256": "1c2a3971b2b8da90c97e8f73f4cebc18ee991f2d3dd3ca15b54ba5eb6ccca1bf"
},
"schema_version": "1.0",
"source": {
"id": "2203.12062",
"kind": "arxiv",
"version": 3
}
}