Paper Citation Record · LEDGER

Training and Evaluating Diffusion Policies with Long Context Lengths

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.16447.

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

pith.paper-citation-record.v1
2606.16447 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:49:10.591494Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

43 of 43 outbound references displayed

verified exact1
verified fuzzy0
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation c73f397f-776b-4982-9431-46ce85d5915a · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 1

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Observation be2b39db-ecb6-41c4-8637-1db12bba5fcb · outbound

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

Training and Evaluating Diffusion Policies with Long Context Lengths Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 2

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Observation 9aa12538-77d7-4a7a-b185-9900b4e35a56 · outbound

This paper cites A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation.

Training and Evaluating Diffusion Policies with Long Context Lengths A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 8a146478-13e9-496c-94d8-7daaafd849a6 · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 4

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Observation 7d25234c-fd9f-434f-b2fb-6232d86c728f · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Training and Evaluating Diffusion Policies with Long Context Lengths $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 5

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Observation b5b9473f-9174-495a-9bab-cdc8c0ff6816 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Training and Evaluating Diffusion Policies with Long Context Lengths Gemini: A Family of Highly Capable Multimodal Models

Reference 6

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Observation 0cd9559b-5f22-48f8-8a6c-8d57b4eb64db · outbound

This paper cites Learning Long-Context Diffusion Policies via Past-Token Prediction.

Training and Evaluating Diffusion Policies with Long Context Lengths Learning Long-Context Diffusion Policies via Past-Token Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 29d1d4da-bb75-4cfd-b01f-c0d41d5cea93 · outbound

This paper cites Sridhar, J.

Training and Evaluating Diffusion Policies with Long Context Lengths Sridhar, J

Reference 8

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Observation 7c9a349d-7fc9-463e-ad62-49c4d2dda3f3 · outbound

This paper cites Torne, K.

Training and Evaluating Diffusion Policies with Long Context Lengths Torne, K

Reference 9

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Observation ba102e88-f34d-481c-96d1-76fed47f0c4c · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation a4e0308b-39e4-4d0d-93c5-274bb9142f50 · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Training and Evaluating Diffusion Policies with Long Context Lengths TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 11

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Observation ca5e720b-1183-4bc6-a602-98066676d7f6 · outbound

This paper cites MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation.

Training and Evaluating Diffusion Policies with Long Context Lengths MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation

Reference 12

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Observation 15041cac-3016-4ecb-a7ab-98e230685de2 · outbound

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

Training and Evaluating Diffusion Policies with Long Context Lengths OpenVLA: An Open-Source Vision-Language-Action Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 4874ff05-ea16-4f75-b647-eeee84aa0399 · outbound

This paper cites Instruction-driven history-aware policies for robotic manipulations.

Training and Evaluating Diffusion Policies with Long Context Lengths Instruction-driven history-aware policies for robotic manipulations

Reference 14

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Observation 0f6381f6-00a6-44b2-9f2e-9081bcbedc00 · outbound

This paper cites Causal Confusion in Imitation Learning.

Training and Evaluating Diffusion Policies with Long Context Lengths Causal Confusion in Imitation Learning

Reference 15

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Observation cc401781-9be3-4f57-a698-f273cebe99e3 · outbound

This paper cites Fighting Copycat Agents in Behavioral Cloning from Observation Histories.

Training and Evaluating Diffusion Policies with Long Context Lengths Fighting Copycat Agents in Behavioral Cloning from Observation Histories

Reference 16

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Observation 3be2073c-1772-4615-a1b3-17be4c7084ab · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Training and Evaluating Diffusion Policies with Long Context Lengths Denoising Diffusion Probabilistic Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation cb9c6d56-9842-426a-be63-c133f8de3d9b · outbound

This paper cites Cadene, S.

Training and Evaluating Diffusion Policies with Long Context Lengths Cadene, S

Reference 18

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Observation dd7643ea-4d11-4bb1-9a14-8793d6691350 · outbound

This paper cites Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels.

Training and Evaluating Diffusion Policies with Long Context Lengths Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels

Reference 19

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Observation bb9f4cc1-314c-4385-acde-1361263385b5 · outbound

This paper cites Mandlekar, D.

Training and Evaluating Diffusion Policies with Long Context Lengths Mandlekar, D

Reference 20

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Observation 89153b87-9389-418d-a987-6fc42e9c112d · outbound

This paper cites Diffusion Policy Policy Optimization.

Training and Evaluating Diffusion Policies with Long Context Lengths Diffusion Policy Policy Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation fd0a55e0-439e-41d4-af8e-915b00c18adf · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Training and Evaluating Diffusion Policies with Long Context Lengths U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation ab5c5bef-f22b-4c71-bc8f-f880af47df8a · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Training and Evaluating Diffusion Policies with Long Context Lengths FiLM: Visual Reasoning with a General Conditioning Layer

Reference 23

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Observation ba9bf9a8-7269-453e-bc6e-6bdb591cedc1 · outbound

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

Training and Evaluating Diffusion Policies with Long Context Lengths High-Resolution Image Synthesis with Latent Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 347385dd-19cd-4018-b24f-dc346b4c3279 · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 6fba40d1-a296-4c71-b304-82684e7576c6 · outbound

This paper cites Reuther, J.

Training and Evaluating Diffusion Policies with Long Context Lengths Reuther, J

Reference 26

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Observation 63a6959c-8119-4eb3-98b9-ca52ace17535 · outbound

This paper cites History-Guided Video Diffusion.

Training and Evaluating Diffusion Policies with Long Context Lengths History-Guided Video Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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This paper cites Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control.

Training and Evaluating Diffusion Policies with Long Context Lengths Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 28

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Observation c292d1c2-b8b5-47d1-90b0-207c7c73cf3a · outbound

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Training and Evaluating Diffusion Policies with Long Context Lengths Kumar, Z

Reference 29

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Observation 93f87910-4ccf-4dee-94e0-37c8148020b9 · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

Training and Evaluating Diffusion Policies with Long Context Lengths RMA: Rapid Motor Adaptation for Legged Robots

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation c2ab40ad-b093-4efc-bb91-e8a606745515 · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29ee1a68-571c-4b7f-9963-beb3d7742efa · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Training and Evaluating Diffusion Policies with Long Context Lengths Lost in the Middle: How Language Models Use Long Contexts

Reference 33

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Observation 5f19e6e1-f9e0-4b05-8c52-dfb21626930a · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

Training and Evaluating Diffusion Policies with Long Context Lengths LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 9be9912c-dacd-4150-a0ff-ac6241ed3d8f · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 1029c4c7-0720-443f-bfdc-29b947a2ff8e · outbound

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Training and Evaluating Diffusion Policies with Long Context Lengths Deep Residual Learning for Image Recognition

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation fe982ae9-2bc4-4dbc-87fb-67c9e23803df · outbound

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Training and Evaluating Diffusion Policies with Long Context Lengths Tedrake and the Drake Development Team

Reference 37

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Observation 9e9ecb96-7b01-4687-9ab2-de2b5151d016 · outbound

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Training and Evaluating Diffusion Policies with Long Context Lengths Tedrake.Robotic Manipulation

Reference 38

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Observation 6670bb56-507c-4448-810e-4fac93f49641 · outbound

This paper cites A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.

Training and Evaluating Diffusion Policies with Long Context Lengths A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 5af024c1-46e1-4b92-b617-bb402ea6f2e9 · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation ac60b4f9-ebfd-4f7e-8654-7a57bbc88778 · outbound

This paper cites A.3 Context Length Understanding in LLMs We believe the robotics community needs to build an understanding of policy learning in the pres- ence of longer contexts.

Training and Evaluating Diffusion Policies with Long Context Lengths A.3 Context Length Understanding in LLMs We believe the robotics community needs to build an understanding of policy learning in the pres- ence of longer contexts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation e0bdcd90-5f82-42a0-b706-68c7906ef7bb · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Observation 526f3d50-6d59-4d00-8717-218f820b6730 · outbound

This paper cites an unresolved cited work.

Training and Evaluating Diffusion Policies with Long Context Lengths Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T13:49:10.591494Z

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Pith citing papers

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