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Paper Citation Record · LEDGER

Latent Diffusion Planning for Imitation Learning

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 13 inbound Pith citation observations for arXiv:2504.16925.

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

pith.paper-citation-record.v1
2504.16925 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:56:16.103095Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:07:10.844469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:06:52.513370Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39841afd-42b3-4a10-929b-a907ba608521 · outbound

This paper cites Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models.

Latent Diffusion Planning for Imitation Learning Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Reference 3

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source=pdf_text observed=2026-08-16T10:56:15.914416Z digest=sha256:282b3dc10bcc711ac72a913b373891cbf0d36e4892d99b8b274b0b5c443f3672

Observation 59f5fb24-f286-445d-ac12-f4c9ec438ade · outbound

This paper cites Planning over frozen embeddings (DINOv2), even when projected to a lower dimensional space, has significantly lower success rate than planning over V AE embeddings.

Latent Diffusion Planning for Imitation Learning Planning over frozen embeddings (DINOv2), even when projected to a lower dimensional space, has significantly lower success rate than planning over V AE embeddings

Reference 5

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source=pdf_text observed=2026-08-16T10:56:16.079333Z digest=sha256:3d5bbfca16d5408b18db65a1ec0663421a534a016417a769d5262abdcec455cb

Observation faf00cdc-2c0d-49fa-93e0-9e1f6f8060d5 · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

Latent Diffusion Planning for Imitation Learning Learning Universal Policies via Text-Guided Video Generation

Reference 6

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Observation 46d6fd17-6669-47e2-a017-811a963789c7 · outbound

This paper cites Implementation Details Diffusion Policy We use a Jax reimplementation of the convolutional Diffusion Policy, which we verify can reproduce reported Robomimic benchmark results.

Latent Diffusion Planning for Imitation Learning Implementation Details Diffusion Policy We use a Jax reimplementation of the convolutional Diffusion Policy, which we verify can reproduce reported Robomimic benchmark results

Reference 7

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source=pdf_text observed=2026-08-16T10:56:16.084110Z digest=sha256:3efe01301acd102babaa72759978736641aabc03e5c085d75d3eafc19fc463aa

Observation 6209f896-2611-4196-8268-e6d0746de10b · outbound

This paper cites an unresolved cited work.

Latent Diffusion Planning for Imitation Learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-16T10:56:16.098448Z digest=sha256:2177d63dad4bf769e24d6f184b3b69e6489a147d4e0489f7b937f86cb81d8582

Observation 701bbb4d-2e77-43dc-80bf-2abbeaa73225 · outbound

This paper cites Learning Latent Dynamics for Planning from Pixels.

Latent Diffusion Planning for Imitation Learning Learning Latent Dynamics for Planning from Pixels

Reference 9

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source=pdf_text observed=2026-08-16T10:56:15.944936Z digest=sha256:3c54ed1c63b690782e9701a49cb6ad63b8733dd8a92a28e0888bf5d0f660661e

Observation 087585d8-15bf-445c-b068-6125c66cd653 · outbound

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

Latent Diffusion Planning for Imitation Learning TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 11

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source=pdf_text observed=2026-08-16T10:56:15.955454Z digest=sha256:a253121a50ecc6417b1a28117ff5f98571a314432ebc68ec0ab4bcd61c5b91cf

Observation 00d38ba7-4f61-4b66-8fd1-1337c75a868c · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Latent Diffusion Planning for Imitation Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 12

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Observation 5bfc6bf7-2040-427b-90cb-590072e70cd8 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Latent Diffusion Planning for Imitation Learning Denoising Diffusion Probabilistic Models

Reference 13

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source=pdf_text observed=2026-08-16T10:56:15.965883Z digest=sha256:a76f7d578fb0e3b25ad808b361654b5258db05344fe48183ab174c99501e8522

Observation b684681a-bcd8-44c5-993a-184bcf0ac3a8 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Latent Diffusion Planning for Imitation Learning Planning with Diffusion for Flexible Behavior Synthesis

Reference 14

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source=pdf_text observed=2026-08-16T10:56:15.971090Z digest=sha256:1dd57222d9d8da9ec8306efd4bf0b754a8f9dfbed4d51c0f0eacf797f2c62d9a

Observation 8932dd86-34e5-4731-a109-b150718c04f3 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Latent Diffusion Planning for Imitation Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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source=pdf_text observed=2026-08-16T10:56:15.975948Z digest=sha256:5b3eb76628559f1872b979424c7ce651b9945692afeffef7ac9f6f2b279ea28e

Observation 726f0445-9648-47cc-bbb6-db5031544d88 · outbound

This paper cites We train the video prediction models for 200k gradient steps with batch size.

Latent Diffusion Planning for Imitation Learning We train the video prediction models for 200k gradient steps with batch size

Reference 16

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source=pdf_text observed=2026-08-16T10:56:16.088976Z digest=sha256:824da70516ee65872400c69df0f79b1d48fa8f5c86254636e0760757c635787a

Observation 63d7a8bd-82ab-478d-abd8-e35306256d81 · outbound

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

Latent Diffusion Planning for Imitation Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 17

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source=pdf_text observed=2026-08-16T10:56:15.985686Z digest=sha256:637ddd19f46163b07e964581570ac0f5c38abc0a43fea7b024b755ef0e7dd4b4

Observation 630cc4b5-044f-4376-88cd-80ba8f6b105f · outbound

This paper cites Conservative Q-Learning for Offline Reinforcement Learning.

Latent Diffusion Planning for Imitation Learning Conservative Q-Learning for Offline Reinforcement Learning

Reference 18

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Observation f6f8e2f7-f73d-47fc-9c0d-827fb4c57386 · outbound

This paper cites Behavior Generation with Latent Actions.

Latent Diffusion Planning for Imitation Learning Behavior Generation with Latent Actions

Reference 19

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Observation d1383723-4069-4326-af3d-e62237d62c87 · outbound

This paper cites Flow Matching for Generative Modeling.

Latent Diffusion Planning for Imitation Learning Flow Matching for Generative Modeling

Reference 20

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Observation e12cce8c-b731-45e9-ba7a-80176c162c27 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Latent Diffusion Planning for Imitation Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 21

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source=pdf_text observed=2026-08-16T10:56:16.007522Z digest=sha256:b63ed28f5292ceef259f53a5d73e032c629f54235ab394d73366066a2f5fdf5a

Observation a47c1a1b-64e7-4882-9395-166f3daf07dd · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

Latent Diffusion Planning for Imitation Learning Imitating Human Behaviour with Diffusion Models

Reference 22

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Observation 40a58ccc-e0c4-4fe7-9c95-7fef318a1116 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Latent Diffusion Planning for Imitation Learning Scalable Diffusion Models with Transformers

Reference 23

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Observation 0ebcf525-d979-41f5-a746-1fa94d45400a · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Latent Diffusion Planning for Imitation Learning High-Resolution Image Synthesis with Latent Diffusion Models

Reference 24

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source=pdf_text observed=2026-08-16T10:56:16.023331Z digest=sha256:81738258f1d6055374ebcc8fb6dd2ad9d527fe272a2cad4f2017fc752d037671

Observation f9afbe39-e9df-4622-9ba3-76afe04cc0c1 · outbound

This paper cites Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions.

Latent Diffusion Planning for Imitation Learning Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Reference 25

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source=pdf_text observed=2026-08-16T10:56:16.028239Z digest=sha256:ae8a98a01defcf54c408400e5089e8c922854b9a3690fd1d7dc46fba73f4e54b

Observation a5875131-7d4d-4044-98db-7af79c3b6c55 · outbound

This paper cites Behavior Transformers: Cloning $k$ modes with one stone.

Latent Diffusion Planning for Imitation Learning Behavior Transformers: Cloning $k$ modes with one stone

Reference 26

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source=pdf_text observed=2026-08-16T10:56:16.033318Z digest=sha256:1cd26965e674c5e6f1747b631265ea43a11e9fe6d5422e725588f3e65f97ddd0

Observation edf1019a-b893-4826-bb1a-1fbe1bdc2951 · outbound

This paper cites Behavioral Cloning from Observation.

Latent Diffusion Planning for Imitation Learning Behavioral Cloning from Observation

Reference 28

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source=pdf_text observed=2026-08-16T10:56:16.043453Z digest=sha256:1665dd0dc46198015e2ef408652153521434da028099c85fe386f941ed66027d

Observation 559a93cd-76f2-4611-8051-e5109f764c05 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Latent Diffusion Planning for Imitation Learning VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 29

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Observation 8d27be80-62d7-4182-b63f-b1a092bee031 · outbound

This paper cites Learning Interactive Real-World Simulators.

Latent Diffusion Planning for Imitation Learning Learning Interactive Real-World Simulators

Reference 30

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source=pdf_text observed=2026-08-16T10:56:16.054523Z digest=sha256:434c81f4fe6a61aa637ffe6794ae96de77221a5aab58a1fa405dffedd2199fb9

Observation 0d826409-6c2b-487e-b4b8-b08728619982 · outbound

This paper cites Video as the New Language for Real-World Decision Making.

Latent Diffusion Planning for Imitation Learning Video as the New Language for Real-World Decision Making

Reference 31

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Observation eb55c7df-b78b-481e-b05a-1521d46c33dd · outbound

This paper cites Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality.

Latent Diffusion Planning for Imitation Learning Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality

Reference 32

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source=pdf_text observed=2026-08-16T10:56:16.064521Z digest=sha256:c6cfab9eb0c2b769d37fc5dedaf629acecb48a77beb42c589ce0c1e66b710708

Observation 53b23fdc-f554-417c-9922-a02ab0e12307 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Latent Diffusion Planning for Imitation Learning Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 33

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Observation 4ce0621c-1e1c-4f40-ab31-141147637dd1 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

Latent Diffusion Planning for Imitation Learning RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 34

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source=pdf_text observed=2026-08-16T10:56:16.074323Z digest=sha256:62e47a8f356f72018e33e66735385e5bbd8cd677e17a9a54cf26ec4b361f7a16

Observation a83b7d05-dded-4091-8642-e58deee64eee · outbound

This paper cites The planner is based directly off of the convolutional U-Net from Diffusion Policy (Chi et al., 2023), with modifications to plan across latent embeddings instead of action chunks.

Latent Diffusion Planning for Imitation Learning The planner is based directly off of the convolutional U-Net from Diffusion Policy (Chi et al., 2023), with modifications to plan across latent embeddings instead of action chunks

Reference 38

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source=pdf_text observed=2026-08-16T10:56:16.093738Z digest=sha256:c34584ed01ac34587149350781ea0aa9842ef25a222da064f0d776d72a26e750

Observation e772fb7e-6d79-4b84-a975-a17d2a5f4f57 · outbound

This paper cites Number of Action-Free Trajectories We chose to use the remaining half of the demonstrations as action-free trajectories.

Latent Diffusion Planning for Imitation Learning Number of Action-Free Trajectories We chose to use the remaining half of the demonstrations as action-free trajectories

Reference 40

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source=pdf_text observed=2026-08-16T10:56:16.103095Z digest=sha256:d61b8b45b3c868093e0d74b6c6ae10b3e4c13c469cf64ad673eece83aba0235a

Observation 015fa91f-d568-490b-82c2-da1161c3c146 · outbound

This paper cites Auto-Encoding Variational Bayes.

Latent Diffusion Planning for Imitation Learning Auto-Encoding Variational Bayes

Reference 2014

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source=pdf_text observed=2026-08-16T10:56:15.980830Z digest=sha256:1a4eaa643acb4f051a7618867f6f0499ae7fbcd2dbb2d6bb08d7604cfa0a1c24

Observation 50f08a7a-44e1-46d6-b7c9-33a13942fd4e · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Latent Diffusion Planning for Imitation Learning Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 2015

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source=pdf_text observed=2026-08-16T10:56:16.038301Z digest=sha256:28e23f099731d5ca75389fca61e3dc1e84e6e3d260d8828fe6011b631d565eca

Observation 56d51643-0b3f-4ad1-b329-5c3c459a3910 · outbound

This paper cites World Models.

Latent Diffusion Planning for Imitation Learning World Models

Reference 2017

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source=pdf_text observed=2026-08-16T10:56:15.940144Z digest=sha256:2a236ecf796e3d0b60a6e16f61b11613c1337b7625b8327516f8a788b30f864b

Observation 1a8777e6-2c36-4296-855b-c75ac3b4949c · outbound

This paper cites and Levine, S.

Latent Diffusion Planning for Imitation Learning and Levine, S

Reference 2019

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source=pdf_text observed=2026-08-16T10:56:15.935610Z digest=sha256:59f46f59f5480a70c5bc3d6b0f63b5169b679004799a73128432d12093c86885

Observation bfc5774e-e358-47c3-b89b-40e20f9d9bc2 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Latent Diffusion Planning for Imitation Learning Dream to Control: Learning Behaviors by Latent Imagination

Reference 2020

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source=pdf_text observed=2026-08-16T10:56:15.949940Z digest=sha256:ddee8ee3f8a5ca84e67058d80bce232c2a6be6fd3614ca20a9c22ded966ff135

Observation cc5f23ae-7a99-4155-9e86-ad42b7e54543 · outbound

This paper cites Decision Transformer: Reinforcement Learning via Sequence Modeling.

Latent Diffusion Planning for Imitation Learning Decision Transformer: Reinforcement Learning via Sequence Modeling

Reference 2021

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source=pdf_text observed=2026-08-16T10:56:15.919475Z digest=sha256:e24c0b31fe87c303ba68b03539b6cca447373ab8fe0131d0e5ebcab44bfe6d1a

Observation 70af9395-a8b1-4418-8785-fb83fc1d5e1c · outbound

This paper cites Imitation Learning by Estimating Expertise of Demonstrators.

Latent Diffusion Planning for Imitation Learning Imitation Learning by Estimating Expertise of Demonstrators

Reference 2022

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local_arxiv, observed 2026-08-16T10:56:16.685360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:56:15.909318Z digest=sha256:b38c0ec8e01f1d45daee674bd434a8fb71f6573dfbaa94f2d9436c80656381cb

Observation b92f6df5-410d-4a69-85e8-351689cae39b · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Latent Diffusion Planning for Imitation Learning Is Conditional Generative Modeling all you need for Decision-Making?

Reference 2023

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no resolver link, observed 2026-08-16T10:56:15.903475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:56:15.903475Z digest=sha256:ca0d7979c144dc88d3e57daacb16e8e0ea2d6d2171d9c0df55f33ef0c1233bfc

Observation ba6ed3a8-d538-428c-88a6-2694bf67cc7d · outbound

This paper cites DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.

Latent Diffusion Planning for Imitation Learning DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

Reference 2024

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no resolver link, observed 2026-08-16T10:56:15.924960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:56:15.924960Z digest=sha256:2190e81a0e1b38efc3b7961f0b0a0e0fb078cb09dde0f8010c100a0ea1b7b088

Pith citing papers

Observation da36d6ad-0306-422b-b5a2-c263a3c7cf37 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Latent Diffusion Planning for Imitation Learning

Reference 17

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no resolver link, observed 2026-08-06T21:07:10.844469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:10.844469Z digest=sha256:710f62d6b8d3406ae354dd3c27e65ed6bdb3e2a6a42a0120b5e3925d22052fd5

Observation 638d1d67-b73b-426d-9327-c77f8e33ca4a · inbound

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training cites this paper.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Latent Diffusion Planning for Imitation Learning

Reference 34

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no resolver link, observed 2026-08-06T12:52:19.828034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:19.828034Z digest=sha256:a87bcedb2c6a91047c4ef78c0d2a56991b41198da8f791498dc44f236e4d1132

Observation a121f4f9-5310-40a9-a477-a3c80fb5f8fd · inbound

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution cites this paper.

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution Latent Diffusion Planning for Imitation Learning

Reference 62

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no resolver link, observed 2026-08-05T23:06:33.879769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:06:33.879769Z digest=sha256:90be5c2f11e499c4b26e2f54f2b04ba9e0d5319c1b2561c4bd04c1f35bc5d794

Observation acd9c641-730f-4fe1-a324-a7d52dfe584b · inbound

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations cites this paper.

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations Latent Diffusion Planning for Imitation Learning

Reference 95

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verified exact
arxiv_id, observed 2026-05-18T01:05:33.791551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-18T01:05:01.553811Z digest=sha256:96e6fa6a6748e63ea39d65d7b1ed0d9ef7ac55858edcea811c8e8756bb50d5a0

Observation d933d7bb-30bb-49b3-b79c-50967c8e9e05 · inbound

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations cites this paper.

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations Latent Diffusion Planning for Imitation Learning

Reference 95

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unresolved
no resolver link, observed 2026-08-04T00:10:11.746390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:10:11.746390Z digest=sha256:4c182195b3a67b00187af9807f2f149a6b7f857cd85e72d9c005927ba08c39de

Observation 2626fccf-a58e-408e-80a6-b24558817e1a · inbound

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making cites this paper.

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making Latent Diffusion Planning for Imitation Learning

Reference 15

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unresolved
no resolver link, observed 2026-08-03T17:47:51.273597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:47:51.273597Z digest=sha256:212fef449b0873061ca11c35e02e9fd01180872c2da4280055d3eac41b490ac0

Observation 332da3fe-a062-4da0-84f2-44dbafc74ea4 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Latent Diffusion Planning for Imitation Learning

Reference 195

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:26.211251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:99ee8e7d995aec4480025ec031fc10eb5d4caae78e0b33853dc8f8851ae9c239

Observation d25721f6-68f4-48b0-9df5-af41e9b4d9f6 · inbound

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation cites this paper.

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation Latent Diffusion Planning for Imitation Learning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:49:54.451425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T09:49:03.333757Z digest=sha256:845ee4f5cbcf68e747cf06a4582d3207eec7908ab35909c2629b4566af99d72a

Observation 46c53c5c-4681-4a4a-b571-309d9b9e8e50 · inbound

Latent Geometry Beyond Search: Amortizing Planning in World Models cites this paper.

Latent Geometry Beyond Search: Amortizing Planning in World Models Latent Diffusion Planning for Imitation Learning

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:56:15.209921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T01:53:38.524154Z digest=sha256:669ca103dc23161dc56925972f95ecfb08f10e2b16146568742bf80184d1bc1d

Observation 9f7815a0-bc05-4793-9ac0-9f04d4979af2 · inbound

Latent Geometry Beyond Search: Amortizing Planning in World Models cites this paper.

Latent Geometry Beyond Search: Amortizing Planning in World Models Latent Diffusion Planning for Imitation Learning

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:25:07.056184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T23:24:42.433556Z digest=sha256:fe976fa70f3e66da51a4332a236d07f99cc899767bdba7fcc854ce6916aded04

Observation ed5c6473-1710-484d-ba28-ee3b88e0ea9a · inbound

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations cites this paper.

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations Latent Diffusion Planning for Imitation Learning

Reference 21

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verified exact
arxiv_id, observed 2026-06-29T22:04:00.647704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T21:43:59.953809Z digest=sha256:db9a39563b591f899deb6d7285d4241f49166eed9162ea08dc7f385f6ba5a6af

Observation 7df13b9c-b097-421d-9eaf-ab531384bd0b · inbound

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation cites this paper.

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation Latent Diffusion Planning for Imitation Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:59.301574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T21:27:26.682689Z digest=sha256:1848bb16b5955309cda7ea6e6d12937f87d55a1c7d55b18afdbd79207350e0c3

Observation 84cda8ea-ecdb-471d-9345-56f2b5cff0b3 · inbound

Structured 4D Latent Predictive Model for Robot Planning cites this paper.

Structured 4D Latent Predictive Model for Robot Planning Latent Diffusion Planning for Imitation Learning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:06:52.514704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-02T11:02:42.282246Z digest=sha256:a6dfd761edbf15e24b6fa8f6321815e74c51f15a24fdde63b450351994b6f6e6