Paper Citation Record · LEDGER

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.18589.

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

pith.paper-citation-record.v1
2607.18589 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:02:10.268300Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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verified fuzzy0
unresolved42
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External citation measurements

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Outbound references

Observation 7175be2c-5a82-4c74-83cd-8182aa26c547 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Relational inductive biases, deep learning, and graph networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.135079Z

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Observation 21c47137-978d-45ae-b1c3-b57e1e39931c · outbound

This paper cites Interpreting emergent planning in model-free reinforcement learning.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Interpreting emergent planning in model-free reinforcement learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.185967Z

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Observation ad7b2732-9443-42a4-89f4-fa3688995c6d · outbound

This paper cites Cohen and Howard Eichenbaum.Memory, Amnesia, and the Hippocampal System.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Cohen and Howard Eichenbaum.Memory, Amnesia, and the Hippocampal System

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.266292Z

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Observation 88b8a5a6-bec6-4c7b-8845-698c480b8931 · outbound

This paper cites Emergent Response Planning in LLMs.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Emergent Response Planning in LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.349920Z

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Observation eda69215-df16-4d0e-b26e-cb5c3d912bac · outbound

This paper cites On the integration of space, time, and memory.Neuron, 95(5):1007–1018,.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States On the integration of space, time, and memory.Neuron, 95(5):1007–1018,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.430836Z

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Observation 139b592d-c656-4a31-a783-721bdb8889f1 · outbound

This paper cites IM- PALA: Scalable distributed deep-RL with importance weighted actor-learner architectures.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States IM- PALA: Scalable distributed deep-RL with importance weighted actor-learner architectures

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.556389Z

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Observation 138a9800-8a70-47c1-85af-933b6add9294 · outbound

This paper cites Hybrid computing using a neural network with dynamic external memory.Nature, 538(7626): 471–476, 2016.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Hybrid computing using a neural network with dynamic external memory.Nature, 538(7626): 471–476, 2016

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.641623Z

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Observation f0211f95-3e38-422b-b997-ee3247d0b762 · outbound

This paper cites Highway and Residual Networks learn Unrolled Iterative Estimation.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Highway and Residual Networks learn Unrolled Iterative Estimation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.707423Z

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Observation 65152fbd-010f-41d6-a396-a23689fac086 · outbound

This paper cites An investigation of model-free planning.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States An investigation of model-free planning

Reference 9

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Observation 8a999ab7-8275-4085-83e2-8241eccc7856 · outbound

This paper cites World Models.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States World Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.858752Z

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Observation 2e6ceb7b-c584-4c50-bc92-d9583185caef · outbound

This paper cites Learning latent dynamics for planning from pixels.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Learning latent dynamics for planning from pixels

Reference 11

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Observation 85994764-c10a-4269-9d1a-861554acd880 · outbound

This paper cites Mastering Diverse Domains through World Models.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Mastering Diverse Domains through World Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.014108Z

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Observation 18781938-fef4-4540-bbc8-5594c53a825e · outbound

This paper cites Evidence of Learned Look-Ahead in a Chess-Playing Neural Network.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.102796Z

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Observation dc309a59-8dd9-49f8-bf1f-fdb5ddcc6e27 · outbound

This paper cites An empirical exploration of recurrent network architectures.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States An empirical exploration of recurrent network architectures

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.196707Z

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Observation a313df4e-2275-461a-ae53-5a001b719130 · outbound

This paper cites Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.396594Z

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Observation 9e2f8787-29d7-45c7-a28e-2339186de769 · outbound

This paper cites Neural rela- tional inference for interacting systems.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Neural rela- tional inference for interacting systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.466587Z

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Observation 6e5ce3d9-56da-43db-aee4-ec5054d8097e · outbound

This paper cites Actor-critic algorithms.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Actor-critic algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.626712Z

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Observation c44de500-899b-4947-9050-536b1ec00fa1 · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T15:03:26.606056Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d2ae8f8-48b3-4f16-976f-e7f402591358 · outbound

This paper cites Lambert, Brandon Amos, Omry Yadan, and Roberto Calandra.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Lambert, Brandon Amos, Omry Yadan, and Roberto Calandra

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.746027Z

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Observation 286f2150-bd29-4b40-b0b9-82e858668d62 · outbound

This paper cites Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, and Martin Wattenberg.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, and Martin Wattenberg

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:08.922477Z

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Observation 569930b3-89d8-4396-bee1-3f84ae1ac784 · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.006973Z

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Observation ce5a85a2-29a5-436e-b039-69de08bd295f · outbound

This paper cites Puterman.Markov Decision Processes: Discrete Stochastic Dynamic Programming.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Puterman.Markov Decision Processes: Discrete Stochastic Dynamic Programming

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.076782Z

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Observation cd3c98ed-e35a-43e1-b6a5-f08151da5aae · outbound

This paper cites Hopfield Networks is All You Need.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Hopfield Networks is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.136169Z

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Observation 9edd9547-3fac-45e2-be9d-574496b522ba · outbound

This paper cites Graph networks as learnable physics engines for inference and control.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Graph networks as learnable physics engines for inference and control

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.218368Z

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Observation ac27f4c3-5c54-43a9-801a-857e34f1ff64 · outbound

This paper cites Mastering Atari, Go, chess and shogi by planning with a learned model.Nature, 588:604–609, 2020.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Mastering Atari, Go, chess and shogi by planning with a learned model.Nature, 588:604–609, 2020

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.287298Z

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Observation 6b0b7c34-eba7-403b-9b54-8390918c4124 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.336271Z

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Observation bf603cd5-7c34-4adb-af4c-6f0ea007a2c7 · outbound

This paper cites Convolutional LSTM network: A machine learning approach for pre- cipitation nowcasting.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Convolutional LSTM network: A machine learning approach for pre- cipitation nowcasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.394919Z

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Observation 9ebfd173-a3ee-426f-a151-d7e6ecc25506 · outbound

This paper cites Mastering the game of Go without human knowledge.Nature, 550(7676):354–359,.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Mastering the game of Go without human knowledge.Nature, 550(7676):354–359,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.474318Z

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Observation 153f4473-7cae-4ddd-a47c-295c64da6971 · outbound

This paper cites Stachenfeld, Matthew M.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Stachenfeld, Matthew M

Reference 29

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Observation 7426db5f-acd1-4232-b5e2-2e942bee1e69 · outbound

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Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 30

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Observation 0c6ce0aa-c901-4507-8cae-3d0ea4318df8 · outbound

This paper cites Sutton and Andrew G.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Sutton and Andrew G

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.766727Z

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Observation 20b2035b-40d6-4146-b760-48eb02093e87 · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.547129Z

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Observation 7772a4fc-a757-49ac-bcc4-5dbddaaccfeb · outbound

This paper cites Planning in a recurrent neural network that plays Sokoban,.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Planning in a recurrent neural network that plays Sokoban,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.878998Z

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Observation bd602923-92c8-4cd6-92f7-a79a6cd34349 · outbound

This paper cites Path channels and plan extension kernels: A mechanistic description of planning in a Sokoban RNN.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Path channels and plan extension kernels: A mechanistic description of planning in a Sokoban RNN

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:10.036252Z

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Observation db1077a8-e2d7-49f4-a838-744d92e3954c · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:10.088740Z

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Observation 95a08ea6-0310-4a8f-9221-8dfeafe319c4 · outbound

This paper cites Sutton, David McAllester, Satinder Singh, and Yishay Mansour.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Sutton, David McAllester, Satinder Singh, and Yishay Mansour

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.824297Z

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Observation b25fdc25-e292-4093-b69e-82f660107eeb · outbound

This paper cites Relational Deep Reinforcement Learning.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Relational Deep Reinforcement Learning

Reference 37

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Observation 501173ea-6396-4676-8443-578983c9e80c · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 42

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Observation 5eb28650-6644-43d2-b345-51c3ab44724b · outbound

This paper cites URL https://proceedings.mlr.press/v120/lambert20a.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States URL https://proceedings.mlr.press/v120/lambert20a

Reference 770

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Observation 68313b1b-94db-4319-b0d4-28ef8993c0eb · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 1948

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Observation e1600f04-ab11-4765-8a3a-72b140fb7e4c · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 2015

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Observation 5950a635-ce08-4ff7-b107-71c8205766f9 · outbound

This paper cites an unresolved cited work.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Unresolved cited work

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:07.489269Z

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Observation a902f4d8-9798-4d43-8998-298549eba040 · outbound

This paper cites Planning in a recurrent neural network that plays Sokoban.

Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States Planning in a recurrent neural network that plays Sokoban

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T15:02:09.968163Z

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Pith citing papers

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