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Paper Citation Record · LEDGER

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.03865.

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

pith.paper-citation-record.v1
2607.03865 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:25:15.657215Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 84cfe5ad-dee0-4070-9eec-9c89a63b46d6 · outbound

This paper cites End-to-end training of deep visuomotor policies,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching End-to-end training of deep visuomotor policies,

Reference 1

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:baef924fba85b6a5bb05858ea3610262c9c5343aba0a89443dff0c65a153268d

Observation 7a6f9781-8c8a-4959-b94f-313523cbeedf · outbound

This paper cites Imitation learning: Progress, taxonomies and challenges,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Imitation learning: Progress, taxonomies and challenges,

Reference 2

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Observation 8e2a897c-e501-481a-909e-a98a0e9bc0cd · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 3

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Observation 155776e9-1ffb-4d26-aa02-7019aae920fe · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 4

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:5f2ef77fa0b65db1e961fc1fd7bd6bda252d45139ab61bcc366fbaa90c95aba4

Observation 33d9b5c9-2f23-48ec-9afb-3c14079bb269 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 5

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:83832c752cceae2a01e319e4b31a6ddad7367581cda4247809be562d51a9287d

Observation 49e88aeb-c7a8-4c83-9cb3-ab870f60ffcd · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 6

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:6bda13ede6ea33139f707e51283dfee8bbf63e01e0933e2f72c39d8f9a9c2ae2

Observation fa9b0736-87e7-4376-85a8-3c91211fdde4 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 7

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Observation ca350dbf-5fb7-4218-9564-eeb52f1c436f · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 8

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:afa8fcbd09e82584f0fc609991b57a38632644a386b12a88cab711e72a9bc492

Observation 2a68a106-b239-4938-923f-c5ded4355bfb · outbound

This paper cites Visuomotor navigation for em- bodied robots with spatial memory and semantic reasoning cognition,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Visuomotor navigation for em- bodied robots with spatial memory and semantic reasoning cognition,

Reference 9

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:c256f48df73a5718c124650934f9909f8b21ff9cdcc199a350dc73662b9ceb9d

Observation 85476502-aaf8-450d-92c0-56a2098a4171 · outbound

This paper cites Learning of long- horizon sparse-reward robotic manipulator tasks with base controllers,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Learning of long- horizon sparse-reward robotic manipulator tasks with base controllers,

Reference 10

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:7b0534608c6c7a72a7e92ce12935da1037c1720009cc8e728b833e410676ba41

Observation 72816e43-57bb-4a49-a489-2d4a57379034 · outbound

This paper cites Denoising diffusion probabilistic models,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Denoising diffusion probabilistic models,

Reference 11

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:0968916b218ba4dee1bc668b1de7d4bdc774f6d57a5fa8864caf7fae56b90c0b

Observation 1df245e4-7491-4357-9235-b70a64c72c7e · outbound

This paper cites Denoising Diffusion Implicit Models.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Denoising Diffusion Implicit Models

Reference 12

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:65f57dae1266ce0cad4235074465ba55c0437f333fb148279e1eccc97f98c2b8

Observation 7feace7c-8d8e-417c-a8a3-3e141b1e4865 · outbound

This paper cites Flow Matching for Generative Modeling.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Flow Matching for Generative Modeling

Reference 13

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:bb35dca336640c38a348ada2199fbff46dba28dc75b42b93a4f99e4f94de599d

Observation 9e6e4dc4-f01d-4e05-80e8-27c68277ef13 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 14

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:1522306e4138a452ed1ea5eac7513a0360bd5bd66e9c80c47d56f260b3e15602

Observation f44b87ec-b9f5-4c51-a9a1-6439fad1363e · outbound

This paper cites Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching

Reference 15

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:18ec7e2cca69be4abf1a02f2cdb41f96714236b21f7a268ae7769c0ae534b58e

Observation 77b207c5-973b-450c-9bf4-62b33c17fd71 · outbound

This paper cites ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

Reference 16

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:9a37acf55e76d87d065b450ddbe751502ecd74b921466676eda393b27369b66b

Observation 936dc715-dd7a-403f-bb74-a23aed28ea08 · outbound

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

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Reference 17

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:33ec7ad072849893260faa7bc39d3b4676ecd64dac72b9b38652227ead3b3e1b

Observation 694ed353-5a1e-40fd-bf08-469c6d389e5e · outbound

This paper cites Mp1: Meanflow tames policy learning in 1-step for robotic manipulation,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Mp1: Meanflow tames policy learning in 1-step for robotic manipulation,

Reference 18

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Observation 40fec441-c73e-45e6-b407-45636d8d48d2 · outbound

This paper cites Dm1: Meanflow with dispersive regularization for 1-step robotic manipulation,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Dm1: Meanflow with dispersive regularization for 1-step robotic manipulation,

Reference 19

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Observation f2ac74e1-dd83-4d7e-90f6-b00bf2d87526 · outbound

This paper cites Mean flow policy with instantaneous velocity constraint for one-step action generation,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Mean flow policy with instantaneous velocity constraint for one-step action generation,

Reference 20

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:7036553069ec756960e4ce21a7d38c54abf9349b55f829e0b4201bbcd32fec02

Observation 2208555b-e6b6-44b9-83fb-bb33527086e7 · outbound

This paper cites ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

Reference 21

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:e3cf74513cfa10b2f8b42edce1e8a46752468aeb96e1abb008872e1c47331c90

Observation 51025500-311f-42dd-8df3-2de9d2665be3 · outbound

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

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 22

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:3526f351768240213810335c33b2a3fa3d667fd74c415639528c2bd939d316c9

Observation c957327e-49da-406e-bacf-fa7427bae3b6 · outbound

This paper cites Imitation learning policy based on multi-step consistent integration shortcut model,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Imitation learning policy based on multi-step consistent integration shortcut model,

Reference 23

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:0b2584846d8c50e1d21d1cee82eb00703aa940dd135504687cead72d62a96b82

Observation 3a87d456-0a31-4ec6-a114-be22edb9af84 · outbound

This paper cites Flowpolicy: Enabling fast and robust 3d flow-based policy via consistency flow matching for robot manipulation,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Flowpolicy: Enabling fast and robust 3d flow-based policy via consistency flow matching for robot manipulation,

Reference 24

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:dcd097b28492d24da5d9d03dd07b586319716f95fc4569023d85b103751c7eb2

Observation dbaea976-9b5c-4a03-964c-87df90254257 · outbound

This paper cites Robotwin: Dual-arm robot benchmark with generative digital twins,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Robotwin: Dual-arm robot benchmark with generative digital twins,

Reference 25

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:cfa3195ee7cbc0ca07b28479a7e67d4131ea9b3a7c3f08401f02a24b4a419b5d

Observation 528e79dc-71fe-43cb-b3d2-2f724bda60a3 · outbound

This paper cites Dexart: Benchmarking generaliz- able dexterous manipulation with articulated objects,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Dexart: Benchmarking generaliz- able dexterous manipulation with articulated objects,

Reference 26

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:cd331d4aaf4f1d5a50575bdd49b73d1d060452662916dd700ccd79adba96a6c5

Observation 9a7ae9dc-eea2-4394-8850-60d5491054e6 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 27

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:6d64d303736f37883870237a468586e9030dfead1882eb6108f169fe35f06121

Observation efd3dac9-2c25-419e-9352-9c63fe98578a · outbound

This paper cites 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation

Reference 28

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Observation 2113601f-bafe-41f2-842c-116b2f32c3ae · outbound

This paper cites Consistency models,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Consistency models,

Reference 29

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:a0ed418ddcffdeb5391b1584509e96587e84192b62987b8c15df3c3b2057c75a

Observation 76dc520a-3454-40f7-9ffe-a39ad8ed832e · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 30

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:0820d57799f302b5fa82b840d00506a6f17bb1c9af630e3c069cab86d3a8b516

Observation eb585c4a-ada6-4d29-9c10-7c80eabbbe41 · outbound

This paper cites Any-step generation via n-th order recursive consistent velocity field estimation,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Any-step generation via n-th order recursive consistent velocity field estimation,

Reference 31

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:00aab941f3fd5abae1b367e6c3fdf2dbc73d0fe1edcde3fd47458030ffe35f1c

Observation 1638a296-60c9-4920-b2f0-7d19236a84d8 · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 32

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:3b817026e5725615d545a8859df9b61e7bd80c3398f7d65cbba4e17c09bac9e9

Observation 5371f9b0-107f-4b64-8175-a6bfaabe12de · outbound

This paper cites Mean Flows for One-step Generative Modeling.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Mean Flows for One-step Generative Modeling

Reference 33

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:90a60465743677dcda39f2b4960564a4dc9f66dba8a6aedf4fae3e1591e17e59

Observation 5d5befb7-12af-4959-807f-c34c2b4580e4 · outbound

This paper cites Improved Mean Flows: On the Challenges of Fastforward Generative Models.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Improved Mean Flows: On the Challenges of Fastforward Generative Models

Reference 34

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Observation 64d3154c-3a76-419f-8585-685f25ac5df2 · outbound

This paper cites Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 35

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Observation e9e545dd-01e2-4a5f-8e3b-40fe2c76cd17 · outbound

This paper cites Streaming flow policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Streaming flow policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories,

Reference 36

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:4c2ea34df8ead52a4d29e34a25cd5622b323171b79740f7f8df3e251cbbc7c4b

Observation 4125cde4-001f-4e01-b1a0-5d78e39ab14e · outbound

This paper cites STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction

Reference 37

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:d7e5acd2adc35b029b87266794f9904febcaf92ce22e23257e70bc16be876e67

Observation 82d3b9cb-2a71-4170-a9d6-343baadb7004 · outbound

This paper cites Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings

Reference 38

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Observation 5f27418e-b6a4-4c21-a33b-d98fae432054 · outbound

This paper cites Freqpolicy: Efficient flow-based visuomotor policy via frequency consistency,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Freqpolicy: Efficient flow-based visuomotor policy via frequency consistency,

Reference 39

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Observation da6ebee2-6fb7-4c0c-b484-6476445b1f20 · outbound

This paper cites Scalable diffusion models with transformers,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Scalable diffusion models with transformers,

Reference 40

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:12c84c875a21186bd15b9b81863d4247beeecc164e006374ae4cf2da2542bfb6

Observation b3f6a610-5aba-45f0-b207-4d15eb2473c3 · outbound

This paper cites One Step Diffusion via Shortcut Models.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching One Step Diffusion via Shortcut Models

Reference 41

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:cf8ec0d49adb2eb6f9e455ecb2e0731c585dd1788f92b733f6cbbed68bcc29b4

Observation 64427055-6d82-4ce4-8414-6c0a2ef7de07 · outbound

This paper cites Contrastive flow matching,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Contrastive flow matching,

Reference 42

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Observation 0f74aa34-2faf-4931-a6a5-d94194922a92 · outbound

This paper cites Deep residual learning for image recognition,.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching Deep residual learning for image recognition,

Reference 43

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source=pdf_text observed=2026-07-11T23:25:15.657215Z digest=sha256:2949bf4d2a18ab01765d7f3cb6b7ac7568a30ad046937b2fe0d05ca81526d5c5

Observation 9ce8a3c8-1c82-4ae4-99c0-75a085bf528b · outbound

This paper cites SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling.

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling

Reference 44

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Pith citing papers

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