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Paper Citation Record · LEDGER

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2507.21452.

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

pith.paper-citation-record.v1
2507.21452 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:52:21.221544Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:27:54.775238Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.735239Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved30
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 450d0d95-9ccc-41f8-856e-4df667e157d2 · outbound

This paper cites Is imitation learning the route to humanoid robots?.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Is imitation learning the route to humanoid robots?

Reference 1

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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.

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Observation 2539cf21-2805-4888-b2f2-5bd677a2afa4 · outbound

This paper cites An algorithmic perspective on imitation learning,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training An algorithmic perspective on imitation learning,

Reference 2

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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.

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Observation 4dedd4a1-c255-4d7d-90fb-f207fd5e7de8 · outbound

This paper cites an unresolved cited work.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Unresolved cited work

Reference 3

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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.

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Observation 1e134d09-3782-49bb-8f4d-16bfcd7fbc6d · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:17.689076Z digest=sha256:a9883502e8c7efe21a6631c3845c35207fc76da47b84fed539d396f8fc396e7b

Observation f73668ed-7cb8-425a-b1b6-7649e68d4d32 · outbound

This paper cites Chen, H.-C.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Chen, H.-C

Reference 5

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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.

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Observation 6df0b7cc-9577-4a85-a551-8d3201a86d31 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Denoising Diffusion Probabilistic Models

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 7dfb05b8-07a6-4793-95e6-fff0bf3c6c76 · outbound

This paper cites an unresolved cited work.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Unresolved cited work

Reference 8

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

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Observation 646bfef3-1b9d-4808-92ad-77f3c8dd9189 · outbound

This paper cites an unresolved cited work.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Unresolved cited work

Reference 9

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

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Observation 4194ae84-e6d2-4bdf-a703-0c2f1a11dc3b · outbound

This paper cites an unresolved cited work.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Unresolved cited work

Reference 10

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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.

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Observation 884ca186-32c5-4d96-be07-7d9ff56b8fb6 · outbound

This paper cites Kim et al.,Consistency trajectory models: Learning probabil- ity flow ode trajectory of diffusion, 2024.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Kim et al.,Consistency trajectory models: Learning probabil- ity flow ode trajectory of diffusion, 2024

Reference 11

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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.

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Observation 8ad7e413-7c21-4070-8b5e-62bf34cc6958 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Progressive Distillation for Fast Sampling of Diffusion Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bff1a782-cac9-4176-a2b7-9cc4e1506729 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 13

Resolution
verified fuzzy
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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.

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Observation fb959511-e30d-4a45-a9a9-018d450758ee · outbound

This paper cites Consistency Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Consistency Models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:18.235513Z digest=sha256:5a678fec95a4dd6b40217acf0a91d81f3c169917c1dcef9e7f2df605d5ac25b9

Observation e77cebe8-af8c-432e-8972-017a4d6e1def · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 79fe5674-f368-4b28-9df6-ffd1610a4e49 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Score-Based Generative Modeling through Stochastic Differential Equations

Reference 16

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no resolver link, observed 2026-08-06T12:52:18.545807Z

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Unavailable: canonical work link unavailable.

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Observation 4b91b1f7-c3ea-4ce8-9380-8f95a8656548 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training High-resolution image synthesis with latent diffusion models,

Reference 17

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verified fuzzy
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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.

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Observation 1a861033-d11f-4c15-bd13-6d03059ddeb2 · outbound

This paper cites Toward the fundamental limits of imitation learning,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Toward the fundamental limits of imitation learning,

Reference 18

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raw_fallback, observed 2026-08-06T12:52:23.991582Z

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.

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Observation f9ea49c3-abdc-4174-a6b9-295c27d55280 · outbound

This paper cites Tuning-Free Visual Customization via View Iterative Self-Attention Control.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Tuning-Free Visual Customization via View Iterative Self-Attention Control

Reference 19

Resolution
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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.

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Observation 32d1be23-f643-4f80-b36f-7f3e31d6719f · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Planning with Diffusion for Flexible Behavior Synthesis

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6dceddf3-ebb2-4602-a96b-896f182b709e · outbound

This paper cites Behavioral Cloning from Observation.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Behavioral Cloning from Observation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80fdeb85-aec8-451d-9c38-803ab7143286 · outbound

This paper cites Cascaded Diffusion Models for High Fidelity Image Generation.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Cascaded Diffusion Models for High Fidelity Image Generation

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:18.685392Z digest=sha256:810f738219ea7089baae338eb0665df74861c85632ecfb214174f1615b499710

Observation af0f815a-c8e0-4028-86f9-b828ef40bf68 · outbound

This paper cites an unresolved cited work.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Unresolved cited work

Reference 23

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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.

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Observation 967ef166-d331-4723-8588-73db6a8ac1ff · outbound

This paper cites Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 24

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source=pdf_text observed=2026-08-06T12:52:19.216760Z digest=sha256:5fb457419c0cf46b0e11d755152cf818e8cc6a88947220ddf4ce6b51ec8adf5f

Observation d26d3f48-24e8-4601-8216-7a29572bf235 · outbound

This paper cites One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:19.311154Z digest=sha256:2810790507f43f2906d8e5a9724cfbd3378ece92a3c77844d33e2d2a7a8e2d34

Observation 295e212c-60c6-4b7c-87c0-a342b2858c1b · outbound

This paper cites Florence et al.,Implicit behavioral cloning, 2021.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Florence et al.,Implicit behavioral cloning, 2021

Reference 26

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raw_fallback, observed 2026-08-06T12:52:23.622322Z

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.

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Observation fd77e4ad-af49-46e8-a2ee-8857c732d0cc · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 21e46d33-0c8b-4f6e-ad85-f5fb54ff382e · outbound

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

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training High-Resolution Image Synthesis with Latent Diffusion Models

Reference 28

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Unavailable: canonical work link unavailable.

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Observation fb08b73f-320c-4ef4-9e3a-4613b59dadce · outbound

This paper cites Neural Discrete Representation Learning.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Neural Discrete Representation Learning

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:19.745772Z digest=sha256:d822e592df2900d053a928c47560f643361a9c057d155199dff9bc8c9f3e2bfd

Observation 0a90a917-8cbd-49d6-9aa7-f2d5f05a0bbf · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Diffusion models: A comprehensive survey of methods and applications,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:23.332006Z

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=2026-08-06T12:52:19.413065Z digest=sha256:27854ef4295b8df2a8abc0f0eae9e3e6676d186f3cec31ad3427ccda8ad34612

Observation 0596c71c-d833-4b62-b248-bbe6fd9aa45e · outbound

This paper cites Learning and Retrieval from Prior Data for Skill-based Imitation Learning.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 086d347a-9c11-4716-8577-cc64bf7658f8 · outbound

This paper cites Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:20.070082Z digest=sha256:20b03a23260f3323481afdf0f8d6a9398254edb6dbfd1c2a09ec9eb9ea5edfc7

Observation 22b532d0-ec1e-4276-9baa-a6c5ed8af472 · outbound

This paper cites Robot Data Curation with Mutual Information Estimators.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Robot Data Curation with Mutual Information Estimators

Reference 33

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no resolver link, observed 2026-08-06T12:52:20.144886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Latent Diffusion Planning for Imitation Learning.

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

Reference 34

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Unavailable: canonical work link unavailable.

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Observation 5986fcda-c8ea-4a56-9d75-5ebb67e34e8a · outbound

This paper cites Read: Retrieval-enhanced asymmetric diffusion for motion planning,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Read: Retrieval-enhanced asymmetric diffusion for motion planning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:23.216268Z

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.

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Observation d0cdac94-362f-4222-a0a1-0eced6cbc025 · outbound

This paper cites Zou et al.,Parco: Part-coordinating text-to-motion synthesis,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Zou et al.,Parco: Part-coordinating text-to-motion synthesis,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:23.059255Z

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=2026-08-06T12:52:20.441011Z digest=sha256:caf5cf901b88680013b664acbd8620fe8a7adfc37aabc566fd0828907fa6a7f2

Observation 885fd084-15e0-4a01-8e99-114d60f378a4 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f9b43197-5a80-42f0-9e66-55aec8fcd9cc · outbound

This paper cites R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction

Reference 38

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

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Observation 1c162c71-d7d0-441d-b534-309544a3a831 · outbound

This paper cites Meng et al.,Sdedit: Guided image synthesis and editing with stochastic differential equations, 2022.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Meng et al.,Sdedit: Guided image synthesis and editing with stochastic differential equations, 2022

Reference 39

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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.

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Observation 4305607c-cce4-40d6-8dfd-cc4215c93df9 · outbound

This paper cites Billion-scale similarity search with GPUs.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Billion-scale similarity search with GPUs

Reference 40

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Observation 994c90fd-28e7-40c7-ad22-626e1960dc54 · outbound

This paper cites ParCo: Part-Coordinating Text-to-Motion Synthesis.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training ParCo: Part-Coordinating Text-to-Motion Synthesis

Reference 41

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unresolved
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Observation a43d537e-0230-4aa8-83b0-694861dec26f · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Elucidating the Design Space of Diffusion-Based Generative Models

Reference 43

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unresolved
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Source-reported events for the cited work

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Observation 62039e2c-71ab-4556-ac33-0a131c2244ba · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training What matters in learning from offline human demonstrations for robot manipulation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:22.782967Z

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.

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Observation 8153e958-7172-486f-bd7c-0deed5ae16a4 · outbound

This paper cites Denoising Diffusion Implicit Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Denoising Diffusion Implicit Models

Reference 2022

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 8dedeb22-b5ee-4c50-926a-e5630ddcbb90 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 2023

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a4cd66d-e2de-4a60-b319-16bf91981456 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training Octo: An Open-Source Generalist Robot Policy

Reference 2024

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 3d5c5586-800c-446c-a005-9df474989f48 · inbound

Difference-Aware Retrieval Policies for Imitation Learning cites this paper.

Difference-Aware Retrieval Policies for Imitation Learning Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.736488Z

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.

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