Paper Citation Record · LEDGER

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.06665.

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

pith.paper-citation-record.v1
2211.06665 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:34:25.143438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.099254Z

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 77d558e4-f372-4de8-aa16-78e042ab31f7 · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.302058Z

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 05ccdabb-33dd-469e-9c2c-2d05c4d0ea58 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:25.143438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c7c5bc-0ef9-40f0-9df4-18de64bb33bd · inbound

A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI cites this paper.

A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.484264Z

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 cce16177-4309-4f79-b2b7-f9a3b6c38933 · inbound

Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback cites this paper.

Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.100803Z

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 98b95458-49aa-49e0-901c-a1c5c83564b1 · inbound

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI cites this paper.

ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-11T19:16:57.396710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4064c662-9f03-4679-adca-bbeb248fd5e1 · inbound

Explainable Reinforcement Learning via Physics-Aware Policy Distillation cites this paper.

Explainable Reinforcement Learning via Physics-Aware Policy Distillation A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T08:17:05.849294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.