Paper Citation Record · LEDGER

Model-Based Reinforcement Learning under Random Observation Delays

As of 6 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.20869.

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

pith.paper-citation-record.v1
2509.20869 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T14:35:04.201252Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 406c6330-e16c-4254-bc3d-d4e3e05296a3 · outbound

This paper cites write newline.

Model-Based Reinforcement Learning under Random Observation Delays write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.733081Z

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Observation 72534a24-05bf-4b51-8beb-8a1f3a953b5f · outbound

This paper cites A cerebellar-based solution to the nondeterministic time delay problem in robotic control.

Model-Based Reinforcement Learning under Random Observation Delays A cerebellar-based solution to the nondeterministic time delay problem in robotic control

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.767000Z

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Observation e01764b1-1e9a-4854-9f58-fb98943a31bb · outbound

This paper cites Closed-loop control with delayed information.

Model-Based Reinforcement Learning under Random Observation Delays Closed-loop control with delayed information

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.762654Z

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Observation ef87f7b6-4d46-48e4-b0af-fdcf08c586fb · outbound

This paper cites Update with out-of-sequence measurements in tracking: exact solution.

Model-Based Reinforcement Learning under Random Observation Delays Update with out-of-sequence measurements in tracking: exact solution

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.758344Z

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Observation 7bc3da22-b67c-43f6-8632-964cb02ecbcb · outbound

This paper cites Reinforcement learning with random delays.

Model-Based Reinforcement Learning under Random Observation Delays Reinforcement learning with random delays

Reference 5

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Source-reported events for the cited work

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Observation b381dd62-2fac-4a1d-9bd0-317180f5b5bc · outbound

This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond.

Model-Based Reinforcement Learning under Random Observation Delays Bayesian filtering: From kalman filters to particle filters, and beyond

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.754284Z

Source-reported events for the cited work

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Observation fa3ed8f9-681a-4d5f-b352-ee0340607649 · outbound

This paper cites Acting in Delayed Environments with Non-Stationary Markov Policies.

Model-Based Reinforcement Learning under Random Observation Delays Acting in Delayed Environments with Non-Stationary Markov Policies

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.716906Z

Source-reported events for the cited work

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Observation 8be2a045-383f-418a-b260-d0a7cfb37400 · outbound

This paper cites Communication delay in uav missions: A controller gain analysis to improve flight stability.

Model-Based Reinforcement Learning under Random Observation Delays Communication delay in uav missions: A controller gain analysis to improve flight stability

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.750778Z

Source-reported events for the cited work

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Observation 4e40442a-2c12-40dc-b7c9-dada1b99b725 · outbound

This paper cites Recurrent world models facilitate policy evolution.

Model-Based Reinforcement Learning under Random Observation Delays Recurrent world models facilitate policy evolution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.747267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7bbcee7c-c512-4c9e-b4d7-ff8d076b055b · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Model-Based Reinforcement Learning under Random Observation Delays Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.743794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa203662-7aeb-4f51-b27d-28624a6e409c · outbound

This paper cites Learning latent dynamics for planning from pixels.

Model-Based Reinforcement Learning under Random Observation Delays Learning latent dynamics for planning from pixels

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.740137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0b8b7500-655a-40b8-a17b-88c3cde4c777 · outbound

This paper cites Mastering Atari with Discrete World Models.

Model-Based Reinforcement Learning under Random Observation Delays Mastering Atari with Discrete World Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-18T14:36:28.665464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1e3cbb5-a00d-4b7b-9008-c9d334e38497 · outbound

This paper cites Mastering Diverse Domains through World Models.

Model-Based Reinforcement Learning under Random Observation Delays Mastering Diverse Domains through World Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-18T14:36:28.653506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 56d1e66a-7a89-4d5f-b2e1-fd29dd86f723 · outbound

This paper cites Mastering diverse control tasks through world models.

Model-Based Reinforcement Learning under Random Observation Delays Mastering diverse control tasks through world models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.736667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b0bb3a76-b285-49d5-9221-c98dfe250bd5 · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Model-Based Reinforcement Learning under Random Observation Delays Temporal Difference Learning for Model Predictive Control

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.673612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2a7b6924-cb74-4409-8502-f3f51bf66c04 · outbound

This paper cites Deep variational reinforcement learning for pomdps.

Model-Based Reinforcement Learning under Random Observation Delays Deep variational reinforcement learning for pomdps

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.729376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 84e91d7f-f57f-4b85-a5d4-51d70d9e83c3 · outbound

This paper cites When to trust your model: Model-based policy optimization.

Model-Based Reinforcement Learning under Random Observation Delays When to trust your model: Model-based policy optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.725374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d05b673c-0738-4295-b6e8-4cbec606981b · outbound

This paper cites Planning and acting in partially observable stochastic domains.

Model-Based Reinforcement Learning under Random Observation Delays Planning and acting in partially observable stochastic domains

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.719253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 483fdeb5-9396-4933-90e4-86a7b701633c · outbound

This paper cites Reinforcement Learning from Delayed Observations via World Models.

Model-Based Reinforcement Learning under Random Observation Delays Reinforcement Learning from Delayed Observations via World Models

Reference 19

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Observation ed57e875-7fdb-474e-a745-8451d699d7a0 · outbound

This paper cites Markov decision processes with delays and asynchronous cost collection.

Model-Based Reinforcement Learning under Random Observation Delays Markov decision processes with delays and asynchronous cost collection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.715880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 60b78f21-3d45-49f6-a1a0-919c31b3491b · outbound

This paper cites Belief projection-based reinforcement learning for environments with delayed feedback.

Model-Based Reinforcement Learning under Random Observation Delays Belief projection-based reinforcement learning for environments with delayed feedback

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.694161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c8707cc-49fd-46a9-9bd7-ebfc7d22173d · outbound

This paper cites A partially observable markov decision process with lagged information.

Model-Based Reinforcement Learning under Random Observation Delays A partially observable markov decision process with lagged information

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.712594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9cdf566-2d78-41cc-b6b1-aed62d3fca77 · outbound

This paper cites Stochastic latent actor-critic: Deep reinforcement learning with a latent variable model.

Model-Based Reinforcement Learning under Random Observation Delays Stochastic latent actor-critic: Deep reinforcement learning with a latent variable model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.708711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe66291f-0461-4119-825e-f72ce8efdeba · outbound

This paper cites Learning a belief representation for delayed reinforcement learning.

Model-Based Reinforcement Learning under Random Observation Delays Learning a belief representation for delayed reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.704463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ec3815fe-7798-4bc1-984f-757f1ab4db28 · outbound

This paper cites Delayed reinforcement learning by imitation.

Model-Based Reinforcement Learning under Random Observation Delays Delayed reinforcement learning by imitation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.659770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc6f3d72-ec48-4834-80fe-b06233236230 · outbound

This paper cites Particle filter recurrent neural networks.

Model-Based Reinforcement Learning under Random Observation Delays Particle filter recurrent neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.701154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b80e932-e12c-4774-8eac-8d5495f6be05 · outbound

This paper cites Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations.

Model-Based Reinforcement Learning under Random Observation Delays Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.686413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 525a8490-4bcf-464d-89dd-97fffccd9277 · outbound

This paper cites Setting up a reinforcement learning task with a real-world robot.

Model-Based Reinforcement Learning under Random Observation Delays Setting up a reinforcement learning task with a real-world robot

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.697647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd448093-7fd6-4800-8892-8cf16a760a76 · outbound

This paper cites Transformers are Sample-Efficient World Models.

Model-Based Reinforcement Learning under Random Observation Delays Transformers are Sample-Efficient World Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.699389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c266cee-3908-4181-af7d-56d628e7cb3a · outbound

This paper cites Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach.

Model-Based Reinforcement Learning under Random Observation Delays Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.690664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e38cf315-f0b9-4ad4-a4d1-91e9bcfd6fcc · outbound

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

Model-Based Reinforcement Learning under Random Observation Delays Mujoco: A physics engine for model-based control

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.686816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 47ac839e-fa66-4f7c-9f3a-b135ebf7259a · outbound

This paper cites Tree Search-Based Policy Optimization under Stochastic Execution Delay.

Model-Based Reinforcement Learning under Random Observation Delays Tree Search-Based Policy Optimization under Stochastic Execution Delay

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.705749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5860a670-62eb-4c3a-95b7-e0412edd8011 · outbound

This paper cites Planning and learning in environments with delayed feedback.

Model-Based Reinforcement Learning under Random Observation Delays Planning and learning in environments with delayed feedback

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.681878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9bed5266-616d-44c8-aa8f-a47cb8b664df · outbound

This paper cites Addressing signal delay in deep reinforcement learning.

Model-Based Reinforcement Learning under Random Observation Delays Addressing signal delay in deep reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.677607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d332628-6ea9-4567-8e3d-35524f4700cd · outbound

This paper cites Variational delayed policy optimization.

Model-Based Reinforcement Learning under Random Observation Delays Variational delayed policy optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.673375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a142d5f8-0ee1-4fae-a18e-213b632459bf · outbound

This paper cites Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays.

Model-Based Reinforcement Learning under Random Observation Delays Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.680422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b6fcf3af-f5b0-4693-8cf9-56201cff736d · outbound

This paper cites Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

Model-Based Reinforcement Learning under Random Observation Delays Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.692263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 972d2d93-31b7-41dc-ab81-7e9785bf1c06 · outbound

This paper cites Storm: Efficient stochastic transformer based world models for reinforcement learning.

Model-Based Reinforcement Learning under Random Observation Delays Storm: Efficient stochastic transformer based world models for reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.669270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ea9858e-dd34-4c34-8177-f92a7c2eaa79 · outbound

This paper cites @esa (Ref.

Model-Based Reinforcement Learning under Random Observation Delays @esa (Ref

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T14:36:29.664590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb5634f8-0d14-436a-a41e-bad2bc352143 · outbound

This paper cites an unresolved cited work.

Model-Based Reinforcement Learning under Random Observation Delays Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-18T14:36:29.649750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4e0e15c9-4e47-4cb7-9b6e-aeddc37031be · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Model-Based Reinforcement Learning under Random Observation Delays TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 41

Resolution: malformed identifier; local_arxiv, observed 2026-05-18T14:36:28.659427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.