Paper Citation Record · LEDGER

Causal Information Prioritization for Efficient Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2502.10097.

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

pith.paper-citation-record.v1
2502.10097 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:33:44.060847Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:56.658225Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:57:03.720293Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy19
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24749ca2-b871-4a71-b3cf-817533a607ad · outbound

This paper cites Towards em- powerment gain through causal structure learning in model-based rl.

Causal Information Prioritization for Efficient Reinforcement Learning Towards em- powerment gain through causal structure learning in model-based rl

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.582182Z

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 05b93193-1bac-4474-8741-6aadc3b5a164 · outbound

This paper cites D.3.4 C OMPUTATION COST ANALYSIS We analyze the computational cost of the proposed framework.

Causal Information Prioritization for Efficient Reinforcement Learning D.3.4 C OMPUTATION COST ANALYSIS We analyze the computational cost of the proposed framework

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.814879Z

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 c98bbd83-e506-44ad-b96c-5078fbd24556 · outbound

This paper cites Entity-centric reinforcement learning for object manip- ulation from pixels.

Causal Information Prioritization for Efficient Reinforcement Learning Entity-centric reinforcement learning for object manip- ulation from pixels

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.543468Z

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 f397b7f3-ad4e-4464-a4c0-23e52374f859 · outbound

This paper cites Slot State Space Models.

Causal Information Prioritization for Efficient Reinforcement Learning Slot State Space Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.752318Z

Source-reported events for the cited work

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Observation 4e05b560-3121-47de-93e6-f762dfa1c047 · outbound

This paper cites Towards practical multi-object manipu- lation using relational reinforcement learning.

Causal Information Prioritization for Efficient Reinforcement Learning Towards practical multi-object manipu- lation using relational reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.509286Z

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 74b82090-e2c2-4ce3-b711-9e7bbb2cbce0 · outbound

This paper cites Object- aware regularization for addressing causal confusion in imitation learning.

Causal Information Prioritization for Efficient Reinforcement Learning Object- aware regularization for addressing causal confusion in imitation learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.375777Z

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 cf8a8f19-063d-426b-8e24-397832700133 · outbound

This paper cites DeepMind Control Suite.

Causal Information Prioritization for Efficient Reinforcement Learning DeepMind Control Suite

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.798577Z

Source-reported events for the cited work

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Observation 56ebb853-0343-4463-9c99-cc4c2ff2597f · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Causal Information Prioritization for Efficient Reinforcement Learning Octo: An Open-Source Generalist Robot Policy

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.805122Z

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Observation 90c7a1e3-cc97-4434-989a-739b0e0a4312 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Causal Information Prioritization for Efficient Reinforcement Learning Mujoco: A physics engine for model-based control

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.218800Z

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 c63a3bf5-1bad-4978-8eba-ce05176f4532 · outbound

This paper cites Plannable Approximations to MDP Homomorphisms: Equivariance under Actions.

Causal Information Prioritization for Efficient Reinforcement Learning Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.818088Z

Source-reported events for the cited work

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Observation 460a2443-86ca-4c2b-94c9-5d40779cf450 · outbound

This paper cites RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective.

Causal Information Prioritization for Efficient Reinforcement Learning RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.829805Z

Source-reported events for the cited work

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Observation 469e464c-8623-44d2-851a-e9bb8bd78aec · outbound

This paper cites Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.

Causal Information Prioritization for Efficient Reinforcement Learning Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T19:33:44.340968Z

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 37a347ef-a25e-49be-857a-db0136f5732d · outbound

This paper cites Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models.

Causal Information Prioritization for Efficient Reinforcement Learning Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.846871Z

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Observation 21e1caa0-9281-40e3-8fa9-eca60999e4dd · outbound

This paper cites Sornet: Spatial object-centric representations for sequential manipulation.

Causal Information Prioritization for Efficient Reinforcement Learning Sornet: Spatial object-centric representations for sequential manipulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.008705Z

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 b5968b35-070a-4328-a1e8-02b5fc836117 · outbound

This paper cites Object-centric learning for real- world videos by predicting temporal feature similarities.

Causal Information Prioritization for Efficient Reinforcement Learning Object-centric learning for real- world videos by predicting temporal feature similarities

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.986995Z

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 9f5d23f6-0ff3-4db7-a487-611368da0af8 · outbound

This paper cites A Survey on Causal Reinforcement Learning.

Causal Information Prioritization for Efficient Reinforcement Learning A Survey on Causal Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.869121Z

Source-reported events for the cited work

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Observation 0d38cad5-46d4-450c-ad9f-4466fcb58ba1 · outbound

This paper cites 3 2.2 Empowerment in RL.

Causal Information Prioritization for Efficient Reinforcement Learning 3 2.2 Empowerment in RL

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.965237Z

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 2aee83ce-2a16-4285-9d97-61526b6c5fb0 · outbound

This paper cites However, both approaches are limited by focusing on a single reward-guided causal relationship.

Causal Information Prioritization for Efficient Reinforcement Learning However, both approaches are limited by focusing on a single reward-guided causal relationship

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.942803Z

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 c5d0f04d-488b-4fc4-acd9-8bff40831a5d · outbound

This paper cites In summary, current research on reward-guided causal discovery remains incomplete and lacks validation across a broader spectrum of tasks.

Causal Information Prioritization for Efficient Reinforcement Learning In summary, current research on reward-guided causal discovery remains incomplete and lacks validation across a broader spectrum of tasks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.913431Z

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 392d8cf0-243e-4f28-80ff-fd28f8d330a8 · outbound

This paper cites For pixel-based DMControl environments, we employ IFactor (Liu et al.,.

Causal Information Prioritization for Efficient Reinforcement Learning For pixel-based DMControl environments, we employ IFactor (Liu et al.,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.887420Z

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 eb592226-57fa-4e74-b9bf-de302cd8f8ab · outbound

This paper cites We utilize the s¯r t state features in IFactor as uncontrollable states unrelated to rewards to execute counterfactual data augmentation.

Causal Information Prioritization for Efficient Reinforcement Learning We utilize the s¯r t state features in IFactor as uncontrollable states unrelated to rewards to execute counterfactual data augmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.855263Z

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 b20fb5e1-c5fc-4f18-ae93-c4f8c591e534 · outbound

This paper cites an unresolved cited work.

Causal Information Prioritization for Efficient Reinforcement Learning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T19:33:44.832428Z

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 893354ce-ada8-46fb-96f5-a0e73b3336e5 · outbound

This paper cites All experiments were conducted on the same computing platform with the same computational resources detailed in Appendix F.

Causal Information Prioritization for Efficient Reinforcement Learning All experiments were conducted on the same computing platform with the same computational resources detailed in Appendix F

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.780608Z

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 ed43f136-872b-48d0-a0c1-7ae9836c60e1 · outbound

This paper cites We establish MT1 and MT10 tasks for generalization validation: Multi-Task 1 (MT1): Learning one multi-task policy that generalizes to5 tasks belonging to the same environment.

Causal Information Prioritization for Efficient Reinforcement Learning We establish MT1 and MT10 tasks for generalization validation: Multi-Task 1 (MT1): Learning one multi-task policy that generalizes to5 tasks belonging to the same environment

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:44.660200Z

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 5173b0cc-99c3-43e8-8ac5-e10d0702fe50 · outbound

This paper cites The experimental results in Figure 32 across three tasks demonstrate that our chosen DirectLiNAM method exhibits superior performance compared to both alternatives.

Causal Information Prioritization for Efficient Reinforcement Learning The experimental results in Figure 32 across three tasks demonstrate that our chosen DirectLiNAM method exhibits superior performance compared to both alternatives

Reference 34

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T19:33:44.640847Z

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 d81b662d-fbf3-41d5-8d68-849d19c5b414 · outbound

This paper cites Empowerment: A universal agent-centric measure of control.

Causal Information Prioritization for Efficient Reinforcement Learning Empowerment: A universal agent-centric measure of control

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.757626Z

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Observation 112cba33-4ad6-40d2-bf4b-69315a71f00b · outbound

This paper cites Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning.

Causal Information Prioritization for Efficient Reinforcement Learning Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.729336Z

Source-reported events for the cited work

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Observation 46e112d5-8831-4d43-9cb2-897d1586b32e · outbound

This paper cites Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention.

Causal Information Prioritization for Efficient Reinforcement Learning Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention

Reference 2005

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:33:44.546039Z

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 31ef7244-2d6f-48bf-a001-b1eeff556478 · outbound

This paper cites Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning.

Causal Information Prioritization for Efficient Reinforcement Learning Learning dynamic attribute-factored world models for efficient multi-object reinforcement learning

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.560916Z

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 3b677282-5341-444b-9408-d5ed377579b8 · outbound

This paper cites Object-Centric Slot Diffusion.

Causal Information Prioritization for Efficient Reinforcement Learning Object-Centric Slot Diffusion

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.746601Z

Source-reported events for the cited work

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Observation 0075b38f-e666-416c-b57a-18efa89f223f · outbound

This paper cites Multi-object search using object-oriented pomdps.

Causal Information Prioritization for Efficient Reinforcement Learning Multi-object search using object-oriented pomdps

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.062671Z

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 f82ef5f4-1176-4a30-8aeb-6bd587fb31e7 · outbound

This paper cites Robust agents learn causal world models.

Causal Information Prioritization for Efficient Reinforcement Learning Robust agents learn causal world models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:43.791925Z

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Observation b4e6c376-7fd9-41e0-b885-683fbe832c6f · outbound

This paper cites Enhancing ood generaliza- tion in offline reinforcement learning with energy-based policy optimization.

Causal Information Prioritization for Efficient Reinforcement Learning Enhancing ood generaliza- tion in offline reinforcement learning with energy-based policy optimization

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.602023Z

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 aeaa4da1-8d19-4eea-b888-69848f4dfd0a · outbound

This paper cites Object-aware gaussian splatting for robotic manipulation.

Causal Information Prioritization for Efficient Reinforcement Learning Object-aware gaussian splatting for robotic manipulation

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:33:45.492889Z

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.

Pith citing papers

Observation 4390f034-77d2-477c-98dc-fc77ed660464 · inbound

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations cites this paper.

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations Causal Information Prioritization for Efficient Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:57:03.727603Z

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.