Paper Citation Record · LEDGER

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.14901.

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

pith.paper-citation-record.v1
2507.14901 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:51:37.495684Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:13:11.483599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.871103Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy34
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c996a0ed-63c1-43bc-acea-b116e46d4fae · outbound

This paper cites Mastering the game of Go with deep neural networks and tree search.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Mastering the game of Go with deep neural networks and tree search

Reference 1

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Observation d3a92e27-364d-4403-8015-737a8d3a7b7d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Playing Atari with Deep Reinforcement Learning

Reference 2

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Observation 13efe497-c48a-4eb8-b7f2-aa9cd992a0a9 · outbound

This paper cites Reinforcement learning in robotics: A survey.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Reinforcement learning in robotics: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.330692Z

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Observation 9c5ddcdc-76b8-4b30-b285-98c9dcfb7fc1 · outbound

This paper cites Resource management with deep reinforcement learning.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Resource management with deep reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.302120Z

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Observation f6bc40c8-296c-41b7-831f-8d63d4b72b9c · outbound

This paper cites End to End Learning for Self-Driving Cars.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies End to End Learning for Self-Driving Cars

Reference 5

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Observation 5f3ee64d-9fcd-4e88-934d-8000b51c2f17 · outbound

This paper cites Reinforcement learning based recommender systems: A survey.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Reinforcement learning based recommender systems: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.277061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b8c337f6-bd16-4313-b1f4-08e289837d3c · outbound

This paper cites A review on reinforcement learning: Introduction and applications in industrial process control.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies A review on reinforcement learning: Introduction and applications in industrial process control

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.259262Z

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Observation d5e13382-5942-4d95-a0a0-e8ae69e58dcd · outbound

This paper cites Targeted Reduction of Causal Models.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Targeted Reduction of Causal Models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.237252Z

Source-reported events for the cited work

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Observation dc779504-5c2d-4899-9bac-a3eba4581158 · outbound

This paper cites Causality.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Causality

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.192843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d7f21a3-a9c1-4a92-96a6-5a3cba8a0666 · outbound

This paper cites Elements of Causal Inference – Foundations and Learning Algorithms.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Elements of Causal Inference – Foundations and Learning Algorithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.171955Z

Source-reported events for the cited work

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Observation 1842fbfd-2e17-4c27-baa7-6860a213115d · outbound

This paper cites Abstracting Causal Models.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Abstracting Causal Models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.151157Z

Source-reported events for the cited work

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Observation 39bc8457-3cd2-4e20-bcb0-5b1bd2e8210a · outbound

This paper cites Approximate Causal Abstractions.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Approximate Causal Abstractions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.128006Z

Source-reported events for the cited work

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Observation 7694d6ea-c01d-4faa-aaf3-59cc967fae51 · outbound

This paper cites Causal Abstraction with Soft Interventions.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Causal Abstraction with Soft Interventions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.108359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e58c0533-2ce7-4186-8d35-9ec41c874277 · outbound

This paper cites Compositional abstraction error and a category of causal models.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Compositional abstraction error and a category of causal models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.086804Z

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Observation 4ecdeea4-ca1e-4230-8825-1855bc0ca1db · outbound

This paper cites Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

Reference 15

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Observation ef440e19-8954-40df-8a91-650817e81f34 · outbound

This paper cites Visual causal feature learning.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Visual causal feature learning

Reference 16

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Source-reported events for the cited work

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Observation 442984d5-a9f9-4ade-b3e0-cd46dd24725e · outbound

This paper cites Causal consistency of structural equation models.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Causal consistency of structural equation models

Reference 17

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Observation 78cf3f97-fb04-412d-ad77-fc8b2fef3ff5 · outbound

This paper cites Homomor- phism Autoencoder–Learning Group Structured Representations from Observed Transitions.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Homomor- phism Autoencoder–Learning Group Structured Representations from Observed Transitions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:38.024586Z

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Observation cfe8954d-212a-4e89-a73b-2bbd02d0cc79 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 19

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This paper cites Learning to play table tennis from scratch using muscular robots.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Learning to play table tennis from scratch using muscular robots

Reference 20

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Source-reported events for the cited work

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Observation 94589efd-bd16-4145-8b33-daccf0f594cf · outbound

This paper cites Safe & accurate at speed with tendons: A robot arm for exploring dynamic motion.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Safe & accurate at speed with tendons: A robot arm for exploring dynamic motion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.983185Z

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Observation 9cee4fc6-7cd1-419b-ab02-b0d7cbe61986 · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Explainable reinforcement learning: A survey and comparative review

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.967569Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 073134fe-be44-444b-a248-1261899fbdd7 · outbound

This paper cites Visualizing and understanding Atari agents.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Visualizing and understanding Atari agents

Reference 23

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Observation 422b1cd2-0d11-49dc-ae39-b79406e8d39f · outbound

This paper cites Transparency and explanation in deep reinforcement learning neural networks.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Transparency and explanation in deep reinforcement learning neural networks

Reference 24

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Observation 0d0c8e15-c119-4931-85b4-07b1195709af · outbound

This paper cites Towards interpretable reinforcement learning using attention augmented agents.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Towards interpretable reinforcement learning using attention augmented agents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.918084Z

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Observation 2f817359-2cf9-4f5b-b3ed-8c2149af47a4 · outbound

This paper cites Explainable robotic systems: Under- standing goal-driven actions in a reinforcement learning scenario.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Explainable robotic systems: Under- standing goal-driven actions in a reinforcement learning scenario

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.900836Z

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Observation 0731a134-e957-444a-bc9f-6ead1652a7bf · outbound

This paper cites Explaining reinforcement learning to mere mortals: An empirical study.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Explaining reinforcement learning to mere mortals: An empirical study

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.883975Z

Source-reported events for the cited work

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Observation 72e5ddf2-be85-4494-929f-e2850e358765 · outbound

This paper cites Learning "what-if" explanations for sequential decision-making.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Learning "what-if" explanations for sequential decision-making

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.867244Z

Source-reported events for the cited work

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Observation a54b121b-5235-4e93-8eee-1d2dfbd287c8 · outbound

This paper cites Graying the black box: Understanding DQNs.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Graying the black box: Understanding DQNs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.849813Z

Source-reported events for the cited work

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Observation ee84d02c-791a-4b0f-a01d-1ece076cd3c5 · outbound

This paper cites Generation of policy-level explanations for reinforcement learning.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Generation of policy-level explanations for reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.833618Z

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Observation 9267c37f-385a-4c34-a9c2-cec05a521d51 · outbound

This paper cites TLdR: Policy summarization for factored SSP problems using temporal abstractions.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies TLdR: Policy summarization for factored SSP problems using temporal abstractions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.812888Z

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This paper cites Explainable reinforcement learning through a causal lens.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Explainable reinforcement learning through a causal lens

Reference 32

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Observation d0371ab7-c37f-4c11-9fb1-b4cd23cf7617 · outbound

This paper cites Causal abstractions of neural networks.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Causal abstractions of neural networks

Reference 33

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Segment anything

Reference 34

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Source-reported events for the cited work

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Observation c6d279c7-9ac4-4e9c-96c7-7fdf2563759d · outbound

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Grad-CAM: Visual explanations from deep networks via gradient-based localization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.744252Z

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Observation 506935a4-89b3-441b-8d66-ae28f18e397e · outbound

This paper cites Foundations of structural causal models with cycles and latent variables.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Foundations of structural causal models with cycles and latent variables

Reference 36

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Source-reported events for the cited work

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Dependence, correlation and gaussianity in independent component analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.709254Z

Source-reported events for the cited work

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Observation 1fcdcd2d-dcc3-4c41-9ec7-25fe42b0c189 · outbound

This paper cites Stable-Baselines 3: Reliable reinforcement learning implementations.

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Stable-Baselines 3: Reliable reinforcement learning implementations

Reference 38

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Observation 814cd2cb-92ff-4d17-a93c-72f28dd5e93e · outbound

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Proximal Policy Optimization Algorithms

Reference 39

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies The high-level model has (n+1) endogenous variables {Y, Z1,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.673668Z

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies The exogenous variables {W0, W1,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:37.653791Z

Source-reported events for the cited work

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Observation b4eb86eb-1987-477e-bc8b-154b844b785d · outbound

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies (id − f1)−1

Reference 43

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:51:37.634033Z

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Observation 824cb148-9f02-49f3-90c1-c643ed51f9a8 · outbound

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Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Unresolved cited work

Reference 2024

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Pith citing papers

Observation 750427c3-6156-4f82-80be-4ce14ec2e6ed · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies

Reference 100

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