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Paper Citation Record · LEDGER

MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.14483.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.14483 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:18:40.135618Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T23:46:43.935219Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 501dbc93-d9f6-4b4f-be20-a9fb659fb87e · inbound

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration cites this paper.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T23:18:40.135618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.135618Z digest=sha256:dd6f790ddb87a8540c5d1a9f52934749853b2cc58b3241c36c61b193fb451d76

Observation 2a424458-b666-4921-87c1-c7897e3da615 · inbound

On Sufficient Richness for Linear Time-Invariant Systems cites this paper.

On Sufficient Richness for Linear Time-Invariant Systems MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:46:43.941405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T23:46:43.843742Z digest=sha256:5710dbd6090d78c25b0a3018c1eb36e8935737a7af7ef6198a872ee319ff1bcf