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Paper Citation Record · LEDGER

Prediction with Action: Visual Policy Learning via Joint Denoising Process

As of 13 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 6 inbound Pith citation observations for arXiv:2411.18179.

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

pith.paper-citation-record.v1
2411.18179 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:29:20.811592Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:13:14.907035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.161071Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved51
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98bec869-122c-4248-9328-9a2914df0f74 · outbound

This paper cites The role of motor contagion in the prediction of action.

Prediction with Action: Visual Policy Learning via Joint Denoising Process The role of motor contagion in the prediction of action

Reference 1

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Observation 59550b03-2c7f-4b99-9d54-e9f1c061b9c3 · outbound

This paper cites Prediction, cognition and the brain.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Prediction, cognition and the brain

Reference 2

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Observation 246fe2c2-10d0-495e-bb1f-8f6a25a70763 · outbound

This paper cites Awareness of action: Inference and prediction.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Awareness of action: Inference and prediction

Reference 3

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Observation 0c1ff756-8edd-4a65-8d58-d032524b7d63 · outbound

This paper cites Denoising diffusion probabilistic models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Denoising diffusion probabilistic models

Reference 4

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Observation 80087f4d-8dfa-401d-a6d0-3a0520217b21 · outbound

This paper cites Denoising Diffusion Implicit Models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Denoising Diffusion Implicit Models

Reference 5

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Observation 3704d80d-64e2-4641-a1a5-68db3e2b2514 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Improved denoising diffusion probabilistic models

Reference 6

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Observation 220e4ccc-be6e-4bf4-98e8-7e5cbeb20495 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Imagenet: A large- scale hierarchical image database

Reference 7

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Observation a02a181e-c98c-43d0-a90c-8f7cce19a5ae · outbound

This paper cites something something.

Prediction with Action: Visual Policy Learning via Joint Denoising Process something something

Reference 8

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Observation 0d6c6c4d-d844-49f3-a216-8a51b9ea7e8c · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Bridgedata v2: A dataset for robot learning at scale

Reference 9

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Observation 1459e623-74e4-430e-922e-eb9e29d0827c · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 10

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Observation 88ada21c-1690-4683-ac7d-80a8442e5ab8 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Adding conditional control to text-to-image diffusion models

Reference 11

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Observation c6440b6e-d649-41b7-8814-81fffa8bc20e · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Imagic: Text-based real image editing with diffusion models

Reference 12

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Observation d344ad8d-7aad-40f0-ba15-79355a005bd4 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Imagen Video: High Definition Video Generation with Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-12T11:29:20.630308Z digest=sha256:85a9d691e3c45eb901bd7805879c897757d1e5806dcdae5839f9894823ca05ff

Observation 6c06af8f-a645-424f-9a7a-7e6a47acc7b3 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Prediction with Action: Visual Policy Learning via Joint Denoising Process CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 14

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Observation 923ae2b7-2a1e-4c92-a7e1-bd5ed04e2c17 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Latte: Latent Diffusion Transformer for Video Generation

Reference 15

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Observation b41e90c1-4a05-4e34-994d-2a3fdd625606 · outbound

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

Prediction with Action: Visual Policy Learning via Joint Denoising Process Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 16

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Observation 8977ae24-4ab1-4555-9fab-a586347e325a · outbound

This paper cites Learning universal policies via text-guided video generation.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Learning universal policies via text-guided video generation

Reference 17

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Observation da2644d2-1950-40cc-9572-4727db72a04d · outbound

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

Prediction with Action: Visual Policy Learning via Joint Denoising Process Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Reference 18

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Observation 9c4e3a28-c2f4-4916-8ae1-8f82e4330c81 · outbound

This paper cites Compositional foundation models for hierarchical planning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Compositional foundation models for hierarchical planning

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a9186ff0-9d84-4290-ba67-cea540980681 · outbound

This paper cites Scalable diffusion models with transformers.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Scalable diffusion models with transformers

Reference 20

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Observation 76a63347-7c1d-47df-99a9-2bdc06169929 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 21

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Observation df73a117-21b1-42cc-9578-b1b72443ae60 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Classifier-free diffusion guidance, 2022

Reference 22

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Observation 5e575a87-8760-485c-84e0-f4974b0b9dfd · outbound

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

Prediction with Action: Visual Policy Learning via Joint Denoising Process High- resolution image synthesis with latent diffusion models

Reference 23

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Observation 93b8c06e-b057-4a63-a9bf-408c09df038b · outbound

This paper cites Multi layer perceptron.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Multi layer perceptron

Reference 24

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Observation 8c375d52-65ed-4e6a-8425-9b68913506b3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Learning transferable visual models from natural language supervision

Reference 25

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Observation b16e038f-9316-448d-9657-71b22a904568 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Instructpix2pix: Learning to follow image editing instructions

Reference 26

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Observation 1655020a-1f5f-4382-8ab7-52e3e1b95245 · outbound

This paper cites SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 27

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Observation 45d943bc-e6c9-4f35-827b-b1916bce0044 · outbound

This paper cites FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning

Reference 28

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Observation c7fc5c3f-138e-414f-bd2c-9b081481cfb3 · outbound

This paper cites Scaling up and distilling down: Language-guided robot skill acquisition, 2023.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Scaling up and distilling down: Language-guided robot skill acquisition, 2023

Reference 29

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Observation bd07d9d1-b4dd-43f8-a1ad-43c1eb579ac5 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Prediction with Action: Visual Policy Learning via Joint Denoising Process RT-1: Robotics Transformer for Real-World Control at Scale

Reference 30

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Observation 15f5f168-337f-47cf-9d6a-adb9edd68878 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Film: Visual reasoning with a general conditioning layer

Reference 31

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Observation 55c943f5-21b1-4500-9e9b-7e9bc9ebf266 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 32

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Observation 41614331-65d7-47e0-8eeb-976ab87d2f51 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Prediction with Action: Visual Policy Learning via Joint Denoising Process RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 33

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source=pdf_text observed=2026-08-12T11:29:20.708898Z digest=sha256:369942844b0cc2e710daa91dbfb577f6da2ebaaa4b774eb27f3fdabeb970e4b4

Observation 755852d8-1053-40ba-9357-44f6a63d1953 · outbound

This paper cites Palm: Scaling language modeling with pathways.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Palm: Scaling language modeling with pathways

Reference 34

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source=pdf_text observed=2026-08-12T11:29:20.712412Z digest=sha256:0726016036c2ba4e09513c53e77700e37a0bf21da3a9fcfcb4c7fd1e438365ad

Observation b500d4ec-a4cd-4504-889f-c2dcda23e3f6 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 35

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source=pdf_text observed=2026-08-12T11:29:20.716083Z digest=sha256:8b2a53a4469cab7f44fd91485cef0327a82cccdaefcaffdca70d9309cd46405b

Observation bd838d31-02a8-4f88-81ed-97fcc3245524 · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 36

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source=pdf_text observed=2026-08-12T11:29:20.719325Z digest=sha256:37c73fb79c26da3d3757f4b349a07a477490ae4615c048ae4c3b9bf903238c02

Observation 48596e04-6537-455d-803f-bb48626b0622 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 37

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source=pdf_text observed=2026-08-12T11:29:20.723008Z digest=sha256:39c5511d7eea314a00e21e27a0305a79371efc45faa28ca770ee40edba253dfa

Observation d4584387-b0e2-4f57-8ada-eed853707731 · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Code as Policies: Language Model Programs for Embodied Control

Reference 38

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source=pdf_text observed=2026-08-12T11:29:20.726889Z digest=sha256:9d1530d1425562126fceaabcc8d934f89b2ca436ad337a0ff8b9f419e15f4e3c

Observation fdbfb695-8ba9-4402-84e4-bce1701536ec · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 39

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source=pdf_text observed=2026-08-12T11:29:20.730616Z digest=sha256:a5c9b67c28524d359ef812a839cabe3593d6584677c6429c07f7df2eb6289995

Observation b998d062-2710-4df1-bbf7-d80a1be32333 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 40

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source=pdf_text observed=2026-08-12T11:29:20.734847Z digest=sha256:7d499f08a217b3c8581afb5bb11c7ed773581553b991b283f69ff1d10275fa32

Observation 5f0cd23d-b2a8-493b-89b3-3ca98376281d · outbound

This paper cites DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment.

Prediction with Action: Visual Policy Learning via Joint Denoising Process DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment

Reference 41

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source=pdf_text observed=2026-08-12T11:29:20.739044Z digest=sha256:be6e22d291e0572dfa83f4280d8f128f29764ab0ab740a8672a4e702a2b4d303

Observation 264fe497-bc54-4a2b-8432-c27a5570a00a · outbound

This paper cites Bc-z: Zero-shot task generalization with robotic imitation learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Bc-z: Zero-shot task generalization with robotic imitation learning

Reference 42

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source=pdf_text observed=2026-08-12T11:29:20.742824Z digest=sha256:e005cb1125bd82a1452becd72762b18fb4b2353bca834dca33b85640d8b22fd8

Observation 1931e021-98f0-407a-81c2-8df0a3e07464 · outbound

This paper cites HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers.

Prediction with Action: Visual Policy Learning via Joint Denoising Process HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers

Reference 43

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source=pdf_text observed=2026-08-12T11:29:20.746202Z digest=sha256:4aec22ab2bf214f44facf342f0c18770b1f80afb2246063585c80033ca2ba8e4

Observation 4e81c6ea-fd47-40e0-a278-1aa75d290ea0 · outbound

This paper cites Prompt a Robot to Walk with Large Language Models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Prompt a Robot to Walk with Large Language Models

Reference 44

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source=pdf_text observed=2026-08-12T11:29:20.749487Z digest=sha256:192782d2afe02e06b74aa3bdff4112d01725816252f4e69020c93c95d0a5a669

Observation 279ab893-ed02-40a0-b88f-c5b3ee27c670 · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Prediction with Action: Visual Policy Learning via Joint Denoising Process R3M: A Universal Visual Representation for Robot Manipulation

Reference 45

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source=pdf_text observed=2026-08-12T11:29:20.752928Z digest=sha256:13a455a51827b6e36c1328d8cb14069a13fc88dfc4402b6124201b0aa853683d

Observation 24562973-8938-4d63-8ed1-5de83dc3ded8 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Prediction with Action: Visual Policy Learning via Joint Denoising Process VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 46

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source=pdf_text observed=2026-08-12T11:29:20.756605Z digest=sha256:b8a693f1be39825e488536a293b1df092b99e9f607b96703a7927b05d7e4cf16

Observation d7408a31-9210-49bd-ac35-3c83c9ce7e50 · outbound

This paper cites Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36, 2024.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Where are we in the search for an artificial visual cortex for embodied intelligence? Advances in Neural Information Processing Systems, 36, 2024

Reference 47

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raw_fallback, observed 2026-08-12T11:29:21.217240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:29:20.760265Z digest=sha256:6254685cdc98925a05c1a7a943339562b3217188116b08a80632b096eff9ca1f

Observation 8e73faa9-cc1f-4579-a4ec-45c958e8d2b5 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 48

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source=pdf_text observed=2026-08-12T11:29:20.763668Z digest=sha256:fb25304c7e32f1d4de8e1a825230969df983323b58691f87c4a8dbe34dd44ce1

Observation 4c39980e-f001-4fd0-9d07-c127bd37f21e · outbound

This paper cites Minedojo: Building open-ended embodied agents with internet-scale knowledge.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Minedojo: Building open-ended embodied agents with internet-scale knowledge

Reference 49

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source=pdf_text observed=2026-08-12T11:29:20.769766Z digest=sha256:48a0b84ba7b258820f4cf15e1d1c1cc3d5a57d810730c73a478bd7e76b1df6e1

Observation 6972ca1b-3145-46fd-a1b4-adab25b4be9c · outbound

This paper cites Language Reward Modulation for Pretraining Reinforcement Learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Language Reward Modulation for Pretraining Reinforcement Learning

Reference 50

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source=pdf_text observed=2026-08-12T11:29:20.773512Z digest=sha256:48e41a4b4950a2aa86c6a649ed2d3830d6af70ec91e34d3136e71d83b38ead4b

Observation 5b3ff525-6013-4b25-a2ec-54b64858a4d8 · outbound

This paper cites Dall-e-bot: Introducing web-scale diffusion models to robotics.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Dall-e-bot: Introducing web-scale diffusion models to robotics

Reference 51

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source=pdf_text observed=2026-08-12T11:29:20.777963Z digest=sha256:99877e455369acf6a8bfe48da991ffd680c66875a06dc4914476bb489750f6c5

Observation 29a6ec42-1bf5-42eb-af05-74ca6a065aa5 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Planning with Diffusion for Flexible Behavior Synthesis

Reference 52

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source=pdf_text observed=2026-08-12T11:29:20.782117Z digest=sha256:cb10165508b4ba285f80d165d6eb64565e41158087a2fce0441b8f7b236de5c0

Observation 5280fc94-d74a-4b0d-9e14-d9be48b7783f · outbound

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

Prediction with Action: Visual Policy Learning via Joint Denoising Process Is Conditional Generative Modeling all you need for Decision-Making?

Reference 53

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source=pdf_text observed=2026-08-12T11:29:20.786608Z digest=sha256:e9738eee17b7e4b95e2c3c93595a33ff11fda72ba9014d5b9feb8bdb32f36f4f

Observation 308bab4d-6123-453d-ad4d-a7b1df5dfa8a · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 54

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source=pdf_text observed=2026-08-12T11:29:20.790685Z digest=sha256:93581d40797a0c01af4fd2bed8f49be9082a591dd0fb777bd6e2b1a2bcb92461

Observation c5c44b8d-d245-4b3b-8f6f-4fd2386b5683 · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

Reference 55

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source=pdf_text observed=2026-08-12T11:29:20.795025Z digest=sha256:8a3086915f17a905ed3a910a816d321e7ec04f3b01a830b779658fa8c10f48d1

Observation 07888bb4-5c03-4df2-9754-ef8575783af3 · outbound

This paper cites GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

Prediction with Action: Visual Policy Learning via Joint Denoising Process GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

Reference 56

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source=pdf_text observed=2026-08-12T11:29:20.798889Z digest=sha256:324f7c825039244004df4a5beeb3dab99e4a9c42380109820926ab4fb9848d35

Observation 33204804-9bfb-45b3-b340-e776c7917fb7 · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Scaling Robot Learning with Semantically Imagined Experience

Reference 57

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source=pdf_text observed=2026-08-12T11:29:20.803154Z digest=sha256:cabe14be2968a1093a88fd91ba21b3f63b0207f6ec396ca021bfe6632f1b4b65

Observation 54643f13-8b79-4a13-b220-0d959e9544d3 · outbound

This paper cites CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning.

Prediction with Action: Visual Policy Learning via Joint Denoising Process CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning

Reference 58

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source=pdf_text observed=2026-08-12T11:29:20.807234Z digest=sha256:eedc453709652ce488de4e6117e09dde1de28d686c65f79ba7fd6b5f601eb552

Observation 8b29f73e-c322-42f7-821e-e3add3b30a2f · outbound

This paper cites Output Decoder.

Prediction with Action: Visual Policy Learning via Joint Denoising Process Output Decoder

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-12T11:29:21.178802Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:29:20.811592Z digest=sha256:1e84fd05547a9cd9c956cc5b04264d8c82915e54c0667ab45e53fdda339b9d63

Pith citing papers

Observation 90af2f4f-1696-482c-84af-1a7fd36358b2 · inbound

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent cites this paper.

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 13

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source=pdf_text observed=2026-08-09T22:13:14.907035Z digest=sha256:aef2da796bfa002abc5bbbfcbb72500b99441572c7dce5a3f308b91a39c017eb

Observation 1202615c-7b2a-4fb4-ae69-df1faa8315fa · inbound

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver cites this paper.

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 17

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source=arxiv_source observed=2026-08-05T20:32:43.779814Z digest=sha256:d4ad842c3c2aed4e66b77fa02180a9bdb90a7d3e02c5cd7e88a98c682c0eed98

Observation ad23fce4-1b03-4782-a739-fc99ec48abce · inbound

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models cites this paper.

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 9

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source=pdf_text observed=2026-08-03T12:30:33.785468Z digest=sha256:5723d0de6be9b413b578869376d2674c40c85bf314416c5c1a39c93f101f70f5

Observation e34fe61f-4da2-483a-8fa6-89df1dea2c80 · inbound

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data cites this paper.

From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 39

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arxiv_id, observed 2026-05-13T17:03:01.185237Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T17:02:18.358675Z digest=sha256:5106ad07866e57c4f179ff75c7a15af1c42c001bbf3276d278ac76409c7e38b7

Observation 776906c3-a569-4d81-bd73-e67635b3c252 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 25

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arxiv_id, observed 2026-05-13T05:02:17.923754Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:8d77cbbe0d46bcb69f1746a9acc1cb40d367cedf7173a0c4106569c5607ec1bb

Observation e2a8181f-4b2c-4ba0-b5fb-f79447ce3a85 · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning Prediction with Action: Visual Policy Learning via Joint Denoising Process

Reference 26

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arxiv_id, observed 2026-07-02T18:57:17.162654Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T21:43:30.625293Z digest=sha256:5a95ede8244d724b8685228632592ce3de60de10774f2d51dc859e71551ed0eb