Paper Citation Record · LEDGER

Optimism in Reinforcement Learning with Generalized Linear Function Approximation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.04136.

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

pith.paper-citation-record.v1
1912.04136 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:38:32.926910Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:38:21.468285Z

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 94f784ff-c043-4172-8b59-4453d5003995 · inbound

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games cites this paper.

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T20:38:32.926910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc25d49c-21eb-4831-96f8-e5b9a1915127 · inbound

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning cites this paper.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:53.761065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537b7f25-8aff-4080-9cca-21b382d81ddc · inbound

Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients cites this paper.

Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:44.235997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ecf58914-12bd-4e63-8871-c8e56c99fa2c · inbound

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety cites this paper.

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:38:21.470059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.