Paper Citation Record · LEDGER

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.14871.

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

pith.paper-citation-record.v1
2401.14871 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:08.430560Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:18:32.717541Z

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 f62d31f1-9dec-46b2-8e53-3549f7affb3a · inbound

Adaptive Control of Positive Systems with Application to Learning SSP cites this paper.

Adaptive Control of Positive Systems with Application to Learning SSP Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:25.978099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f235704b-3ef3-45b3-8211-127aeaf9b806 · inbound

Noise Sensitivity of the Semidefinite Programs for Direct Data-Driven LQR cites this paper.

Noise Sensitivity of the Semidefinite Programs for Direct Data-Driven LQR Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:18:32.725782Z

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.

Observation d52bcd24-bd87-42ec-8238-a01305777e41 · inbound

Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches cites this paper.

Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:08.430560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed04f29-39c8-49ff-9b10-868bd63ead51 · inbound

Data-driven Internal Model Control for Output Regulation cites this paper.

Data-driven Internal Model Control for Output Regulation Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:29.844969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4bd93a2-145e-4548-ba6f-12eb41c61175 · inbound

Direct Data Driven Natural Gradient Descent for Control cites this paper.

Direct Data Driven Natural Gradient Descent for Control Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.