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Paper Citation Record · LEDGER

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.25236.

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

pith.paper-citation-record.v1
2607.25236 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:05:32.233696Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

26 of 26 outbound references displayed

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  • verified fuzzy0
  • unresolved26
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22769f2d-3d0f-4403-8043-a94114ae8d03 · outbound

This paper cites PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T03:05:32.161276Z digest=sha256:c1206876dd0749c53d9f22a03c5900736ed37674d86d5902801bab451210619e

Observation 286d9d1f-8193-43c3-acfc-6ef430d0d179 · outbound

This paper cites Tenenbaum, Tomás Lozano-Pérez, and Leslie Pack Kaelbling.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Tenenbaum, Tomás Lozano-Pérez, and Leslie Pack Kaelbling

Reference 2

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source=pdf_text observed=2026-08-01T03:05:32.165365Z digest=sha256:a006d192262681a8dfdeef787e139760aa92ab1a3bb04ca4bfe6664d824ae5c5

Observation 2516298d-79c5-4bc8-baf6-210e6a32d8fd · outbound

This paper cites Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 3

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source=pdf_text observed=2026-08-01T03:05:32.171757Z digest=sha256:fc205eff047625944db1368675587a5d1d2c40f1f6bf694db2a8b24b2d38db17

Observation 08ad99fc-ff1d-4b00-9cbe-3ec6fe475fda · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.174860Z digest=sha256:04c28993b047a5a3ea7ebf17d9ef5425a5755aa1b843c94647a7b5b88e6a9035

Observation d74aa734-1585-4a62-9ec3-50ea4030e825 · outbound

This paper cites Learning to Reach Goals via Iterated Supervised Learning.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Learning to Reach Goals via Iterated Supervised Learning

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.177521Z digest=sha256:73890338632d57f74d08eea40ab366d3bd627b12310fdc756b1407a16bf73102

Observation 801652c3-4b95-4f99-af9e-82fe7789eab4 · outbound

This paper cites Language Agents Meet Causality -- Bridging LLMs and Causal World Models.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Language Agents Meet Causality -- Bridging LLMs and Causal World Models

Reference 6

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source=pdf_text observed=2026-08-01T03:05:32.180634Z digest=sha256:6a452343cd8b23d78ad084488f1005f7776a74505895025a08c31ad06b320c07

Observation e0ec5307-b2cc-4489-807c-eb280e8b4c46 · outbound

This paper cites Symbolic Regression with a Learned Concept Library.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Symbolic Regression with a Learned Concept Library

Reference 7

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source=pdf_text observed=2026-08-01T03:05:32.183834Z digest=sha256:58b71cec45f767151b5d24decd252c2268d0e868fd8ce840a2629872e8aa506a

Observation 8ba3eab0-a80e-4d93-b4cd-0db64f295b68 · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-01T03:05:32.186623Z digest=sha256:a3165eb858d22c2330008b836b2ff016796a89113a57d4f4afbfc3a6beaa494c

Observation 9b56716c-f12e-40ca-bf97-e486f16f24f5 · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-01T03:05:32.189217Z digest=sha256:ef84ca43f3f618a915fcfa07c04dd31fd97cf036ee3dc424a919d7c982a87591

Observation 791ae55f-4fab-4404-ba41-4fc834e63a11 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Offline Reinforcement Learning with Implicit Q-Learning

Reference 10

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source=pdf_text observed=2026-08-01T03:05:32.195121Z digest=sha256:bb68affdae5cc9c58a73d28d2bb9e3b1f2fe9bfdd0a36783ad6c53c25d2012ae

Observation eb6f321c-e057-4c09-a131-623bc7a08cc3 · outbound

This paper cites Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, and Kevin P.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, and Kevin P

Reference 11

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source=pdf_text observed=2026-08-01T03:05:32.197940Z digest=sha256:5c3d1c78e485502f54560a13e301821368b3bdb7c8a62825867539179b07a43f

Observation b576514b-97a4-4dc2-8c3b-c272cd26f1a6 · outbound

This paper cites 2026.A Functional Taxonomy of World Models: Renderers, Simulators, Planners, and the Loop That Connects Them.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning 2026.A Functional Taxonomy of World Models: Renderers, Simulators, Planners, and the Loop That Connects Them

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.200408Z digest=sha256:197f15ef76a37c398c2a05cc4e3de6d0aa556cf6457271f86ea653a23128bccf

Observation b83a38dd-01c6-4bb7-9570-6c0e6115ec42 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 13

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source=pdf_text observed=2026-08-01T03:05:32.202868Z digest=sha256:ae96db27799e58db50a3f50be440a23d6a7e987110fbd609dca03cc1771de513

Observation 43b47a63-4c4c-47c9-8f6c-814b4fa5ef8e · outbound

This paper cites OGBench: Benchmarking Offline Goal-Conditioned RL.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 14

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source=pdf_text observed=2026-08-01T03:05:32.205627Z digest=sha256:70ce9baff67b3abe92ac9735a50a524d15af515e3828380a4f770bbd8f424645

Observation 0097b1c0-bf81-4eeb-9632-edda454ed086 · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-01T03:05:32.208507Z digest=sha256:c90cf27cd94b838752170c21b515e834759f6f9356d6395e879db90b66f1c58e

Observation 81aaca81-9bf1-40c2-9a51-21cbb840c85f · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 16

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source=pdf_text observed=2026-08-01T03:05:32.211246Z digest=sha256:bf70b5d1515366426628c1fe59e522ceaeb8bfaab719d997df377b6c2dac708c

Observation 7f6ea81d-3fef-4be1-b0b0-a9563d6edc2f · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.213997Z digest=sha256:83c6960dbc26bbdaa727f59527a32480effe57aa9f88e4c1424b11bc169f09bf

Observation 446b2999-7743-4f1c-923d-f64b7768df7f · outbound

This paper cites Code Repair with LLMs gives an Exploration-Exploitation Tradeoff.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

Reference 18

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source=pdf_text observed=2026-08-01T03:05:32.216635Z digest=sha256:5876a11a210c229a70cdb6c1ab3ec55f4552f6ea29c9f20f43f3ab0c1a8fd7ca

Observation 08b53ea5-0549-4d48-9c4e-cf3d9b0ad5a2 · outbound

This paper cites WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

Reference 19

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source=pdf_text observed=2026-08-01T03:05:32.219719Z digest=sha256:c162a3c0acbbe27dda44510a11d9589bb124da4fa2f3927b5ad011ba56e5acd8

Observation 2bced4e1-9a96-4fe6-84e5-1805ef5e3104 · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-01T03:05:32.222585Z digest=sha256:0ff4328c3e5af9bd4009a977dbd4c45ce14b6a0557bef092c090dd7f45c8d7d2

Observation e9f9897f-c82d-4489-bbaf-7912bca240ad · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-01T03:05:32.225280Z digest=sha256:6f1f71c700c0a055a9188261b6f76848013227a67767dbd5aac241ed5617ea26

Observation 06e7e5f3-176a-4006-ba72-c7fed7d5bad4 · outbound

This paper cites Nguyen, Baixuan Xu, Zhaowei Wang, Jiayang Cheng, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tian- qing Fang, Yangqiu Song, Ginny Y.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Nguyen, Baixuan Xu, Zhaowei Wang, Jiayang Cheng, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tian- qing Fang, Yangqiu Song, Ginny Y

Reference 22

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source=pdf_text observed=2026-08-01T03:05:32.228070Z digest=sha256:d54bae0132d5d2092ee45deb48c6dcdfde33b083a4c1dce2a7188f4b65b0ce4a

Observation c915fd76-54f1-472f-81bf-3a0f987894cb · outbound

This paper cites Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?

Reference 23

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source=pdf_text observed=2026-08-01T03:05:32.230767Z digest=sha256:9a01df2d6586953e48337ef1bf0eba8645de1ea11d73d7bb3ef1a381bc29b8e4

Observation a4506907-ced4-461c-868f-13e3cce39163 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 24

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source=pdf_text observed=2026-08-01T03:05:32.233696Z digest=sha256:4abe1cd71c6960d922e315daa4586cf4f9c2d4609f1fbb3d066259d124fc85c6

Observation d4d60940-e289-4da8-9873-802ff23333ee · outbound

This paper cites One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

Reference 2026

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source=pdf_text observed=2026-08-01T03:05:32.191933Z digest=sha256:771c987a2086eece483238e310fd2fb610c1fd9bb6d178c5f1a70f718979693c

Observation 01dd8792-73df-4289-84ac-8ca3c194dd21 · outbound

This paper cites an unresolved cited work.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning Unresolved cited work

Reference 3184

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source=pdf_text observed=2026-08-01T03:05:32.168476Z digest=sha256:871ef55006dfe1eb222832c0e9cda892496111406d9b3e3f8da335e6fb9436dc

Pith citing papers

No inbound Pith citation observations are available.