Paper Citation Record · LEDGER

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.00716.

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

pith.paper-citation-record.v1
2211.00716 v1

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:45:51.304986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:22:24.062474Z

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 6579d043-19b6-49cd-9ec0-21dd3b22a6c8 · inbound

Offline Learning for Combinatorial Multi-armed Bandits cites this paper.

Offline Learning for Combinatorial Multi-armed Bandits Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.304986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13025b6-d6b8-4f31-b6b7-319abb5ba5bf · inbound

Offline Constrained Reinforcement Learning under Partial Data Coverage cites this paper.

Offline Constrained Reinforcement Learning under Partial Data Coverage Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:22:24.064791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5054200b-91b8-4a5c-ba16-086516345e00 · inbound

Reachability Weighted Offline Goal-conditioned Resampling cites this paper.

Reachability Weighted Offline Goal-conditioned Resampling Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:59.657584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf44ae55-dfab-4780-9bb2-ca7787dda7d9 · inbound

Quantile-Optimal Policy Learning under Unmeasured Confounding cites this paper.

Quantile-Optimal Policy Learning under Unmeasured Confounding Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:17.024238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f9e518-0971-4ce2-8035-d1306909f4e5 · inbound

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization cites this paper.

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:45:22.251818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.