Pith Number
pith:C6MHLNN2
pith:2022:C6MHLNN2CZEH7YWDK4C3FIYIK4
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Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
arxiv:2201.01680 v4 · 2022-01-05 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C6MHLNN2CZEH7YWDK4C3FIYIK4}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:30:46.536675Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
179875b5ba16487fe2c35705b2a3085703618e3ded8cdd4cd61d6d0d32fc2c9a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C6MHLNN2CZEH7YWDK4C3FIYIK4 \
| 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: 179875b5ba16487fe2c35705b2a3085703618e3ded8cdd4cd61d6d0d32fc2c9a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d89bdc4f08757dd569a61f8f833e052e7db4a8d91964223dd18842432b8d95b5",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-05T16:19:16Z",
"title_canon_sha256": "18dbba9179dc1cbc2f06829811c79408c3ac4675084e37eb5e8a90fa640a86d7"
},
"schema_version": "1.0",
"source": {
"id": "2201.01680",
"kind": "arxiv",
"version": 4
}
}