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Paper Citation Record · LEDGER

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

As of 17 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 9 inbound Pith citation observations for arXiv:2506.14198.

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

pith.paper-citation-record.v1
2506.14198 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:28.471501Z

measured 109 of 109 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T12:36:50.019492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:38.593885Z

Reference resolution

100 of 107 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved89
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b3aad6c-1d6e-46b0-96b0-76df9ac5fb44 · outbound

This paper cites Radford, J.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Radford, J

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:27.593968Z digest=sha256:da723de4a150f953f40895edd847ad06cd729eb4d5ea1e49d46de9456e46b573

Observation 39601ffb-ca5a-4885-b4f7-da99692e8132 · outbound

This paper cites Brown, B.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Brown, B

Reference 2

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source=pdf_text observed=2026-08-07T00:25:27.669934Z digest=sha256:f8bba611d28dac4c7c194d35a8a97aa0addeaa27adc3177320d10ce548713e65

Observation 5442b651-0ed0-4fab-9784-633845d4ecad · outbound

This paper cites GPT-4 Technical Report.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos GPT-4 Technical Report

Reference 3

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source=pdf_text observed=2026-08-07T00:25:27.815991Z digest=sha256:e559570d6fc7986b1a9e6e0dfb5160251779c30cf71e7ada8c459b8e50fb0614

Observation 853e4ade-bb51-4f71-ab9d-7ff1c5a0a1e8 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Learning Transferable Visual Models From Natural Language Supervision

Reference 4

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source=pdf_text observed=2026-08-07T00:25:27.902920Z digest=sha256:61926c539d264f2a57aa91616738ff2215ce93701b1f48e4ffef07f73dac6b07

Observation 02aa9f57-9fbd-479c-b7f4-dd83873e3ddc · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 5

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source=pdf_text observed=2026-08-07T00:25:28.018812Z digest=sha256:3d95d63b8896f1adfb9487e6d3f05b80c242498d23ee2332373d7cf7cf2959f9

Observation c6fb3173-b396-4884-a01c-7e3f1c15e28a · outbound

This paper cites Rombach, A.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Rombach, A

Reference 6

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source=pdf_text observed=2026-08-07T00:25:28.063056Z digest=sha256:d31abe7e20c4cb6da1a5ca0a5e0934d7d529b03062e84d82c77df09a350ac677

Observation 746525de-9a57-459d-af63-9e067ca0a54b · outbound

This paper cites Brohan, N.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Brohan, N

Reference 7

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source=pdf_text observed=2026-08-07T00:25:28.067300Z digest=sha256:3200a627801f8fcd0a4167f7ac6f336ddec32bb7b77ea400585f67d848d32470

Observation d045f5c4-ccf9-4ee8-8cdb-2847663e5080 · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 8

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source=pdf_text observed=2026-08-07T00:25:28.072029Z digest=sha256:0ed844df1780cb8b2915798d7ad85bad4222657592c57907703f6eb3d74424a2

Observation 5337d0bd-77d1-41ac-9fec-524467fbb5ed · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 9

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source=pdf_text observed=2026-08-07T00:25:28.076130Z digest=sha256:858d7652c4c8cf07970b4128bf494d7442b3b7db1b2a5690aca6c7e4fcba9286

Observation e4232af9-561a-4349-9520-40efa53bba07 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 11

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source=pdf_text observed=2026-08-07T00:25:28.083937Z digest=sha256:feb302c165956b47d352a08c8ea97e24702c8e8a75a3ca5ce2bff026669232df

Observation 50fff49b-d856-493c-b8bc-365a27a9be6f · outbound

This paper cites Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Reference 12

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source=pdf_text observed=2026-08-07T00:25:28.088001Z digest=sha256:64933abbc7bb86debc44a3ace3c8007de0b006aa26ea94e6f76b0b452ff9205f

Observation e2e275dc-7d78-48d9-8b5d-c70159892c67 · outbound

This paper cites Khazatsky, K.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Khazatsky, K

Reference 13

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source=pdf_text observed=2026-08-07T00:25:28.092119Z digest=sha256:2dae10e587feac911ba4a85b92d79b3e86e01989583704bd907c983dbad15dca

Observation 0cfa4895-416c-4986-bf2e-5e44673e0129 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-07T00:25:28.096080Z digest=sha256:1cfcd4ae6fca92d77fcaeab334a134cf1b8e9fc01de6092a2a77475a2dccbc7b

Observation 16b9decd-2744-4b7e-8905-544e4907414d · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 15

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source=pdf_text observed=2026-08-07T00:25:28.105018Z digest=sha256:682a0c7f526da1f0dbd0b5972a258bd1e7511d79b11abecbb6d9117e03c529d7

Observation dafbd3bb-7d01-4076-9430-a23b7871403e · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Learning Universal Policies via Text-Guided Video Generation

Reference 16

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source=pdf_text observed=2026-08-07T00:25:28.108940Z digest=sha256:f85ef1ea30f429ea53d23c08ebe9198f36d56bac34db2c8549d893466edb94db

Observation 8c9cedf9-8a99-467c-b880-c2c175e13c83 · outbound

This paper cites Towards Generalist Robot Learning from Internet Video: A Survey.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Towards Generalist Robot Learning from Internet Video: A Survey

Reference 17

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source=pdf_text observed=2026-08-07T00:25:28.112861Z digest=sha256:c89c90ab53ab6373424cfe6626d6384fd54ac931d7bff1f656d7dede958621de

Observation 044a86d5-a516-40e0-b037-e3f380d0c936 · outbound

This paper cites Learning what you can do before doing anything.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Learning what you can do before doing anything

Reference 18

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source=pdf_text observed=2026-08-07T00:25:28.117022Z digest=sha256:255d8a117fc105df6cab7eb0160c2693e2d979437eda7d48154f0a235a54a8e6

Observation 8a349e2f-cf44-4191-9e88-63c8540fcb83 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Cosmos World Foundation Model Platform for Physical AI

Reference 19

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source=pdf_text observed=2026-08-07T00:25:28.121151Z digest=sha256:9866c9472277861a179d184c4d94d5fd6923d512da793a7b4fce82205b13c9a1

Observation d796bb6b-cd85-4966-b74c-efca686e2f40 · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Imagen Video: High Definition Video Generation with Diffusion Models

Reference 20

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source=pdf_text observed=2026-08-07T00:25:28.125457Z digest=sha256:507a8097e47db17ed376f72f4b43d2de43dd63b16a39933f8ce2cc725a5c85b6

Observation b9ac875a-015a-4e05-ab9e-03f52e184a0a · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 21

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source=pdf_text observed=2026-08-07T00:25:28.129658Z digest=sha256:476bf36a310c2dbb6489d1fa152b128155a732a3b9e7407fba4239d32bb556b0

Observation 59604b75-c5dd-4f6c-9c5a-e5581b8a0817 · outbound

This paper cites Gupta, A.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Gupta, A

Reference 22

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source=pdf_text observed=2026-08-07T00:25:28.133369Z digest=sha256:e5cedd8a0aed5ea5c8da5d3fe5e8a2c0d9f71f96373387ef4e4e2d369174ddcd

Observation f5d7a022-fa48-4961-b8b0-1e2e56423612 · outbound

This paper cites Bar-Tal, H.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Bar-Tal, H

Reference 23

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source=pdf_text observed=2026-08-07T00:25:28.137478Z digest=sha256:47ceb71b3429f7ec26b42103d0b395aa40f3b6a20bad6b29a4f0b71114284407

Observation fdd89846-b552-4e0b-9aff-a642fd0b888b · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 24

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source=pdf_text observed=2026-08-07T00:25:28.141151Z digest=sha256:b11351f4f9cc84bd8ed708b7c27207872dc96657a536087d29ebdf6870ba51e1

Observation db31a9ec-8b6b-4ee6-b844-3eccaff92e3e · outbound

This paper cites Reinforcement Learning from Passive Data via Latent Intentions.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Reinforcement Learning from Passive Data via Latent Intentions

Reference 25

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source=pdf_text observed=2026-08-07T00:25:28.144946Z digest=sha256:0b092c00ded47d1d5f26792fc500b32509d2707e985d7e3c5514799196402b24

Observation 99f37947-6aea-4362-b875-eee0fe866f1e · outbound

This paper cites Bhateja, D.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Bhateja, D

Reference 26

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source=pdf_text observed=2026-08-07T00:25:28.149408Z digest=sha256:fb3ed97c2ceb685402840691f055785b1e496aeae7282ed51cebe37dc195a28d

Observation f6057d1f-ce9e-41ff-8251-9f82f43c3972 · outbound

This paper cites ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse Data.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse Data

Reference 27

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local_arxiv, observed 2026-08-07T00:25:29.374622Z

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

source=pdf_text observed=2026-08-07T00:25:28.157959Z digest=sha256:865a01a708a42c7d857d7b5e4995652c9c6de3c69169b883af186e00fe70fda2

Observation 704e9cac-8109-4455-9c54-e5774e486e63 · outbound

This paper cites Sermanet, C.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Sermanet, C

Reference 28

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source=pdf_text observed=2026-08-07T00:25:28.162396Z digest=sha256:1da9f536e0bfff2663f8bc7e67333f577394c683f611896b012ab8f577430b09

Observation 316a6ef9-7c90-46f5-91f3-7ec51b7b3384 · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos R3M: A Universal Visual Representation for Robot Manipulation

Reference 29

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source=pdf_text observed=2026-08-07T00:25:28.166338Z digest=sha256:801e337bdfcf720556f3abb95ad247783d8ec9819bcc9b2dc6f82c206cd24ad1

Observation a1c6d0ae-5b58-4a4f-b37a-6ab63ea7ebef · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-07T00:25:28.170370Z digest=sha256:5f4c7defa2b8a844cf8666af332df6830268627df8eada8af46374071df1bb73

Observation 4d3fd4b6-f2e8-4117-912b-afd291408820 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 31

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source=pdf_text observed=2026-08-07T00:25:28.174788Z digest=sha256:1f6f5cf6311f133f9a97d018e55bd7f180ecb2f6e5cd866c93f23e2424b01848

Observation 94c0abf3-1d0a-44f3-8d84-085d7f3d9dcf · outbound

This paper cites Bruce, M.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Bruce, M

Reference 32

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source=pdf_text observed=2026-08-07T00:25:28.179124Z digest=sha256:a517d19ddca440c06b54004bdfc379173269d6f4349c0c156aa7e2d3b75795da

Observation def1bbb5-3b29-4d51-9ccf-90502c0349ec · outbound

This paper cites Latent Action Pretraining from Videos.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Latent Action Pretraining from Videos

Reference 33

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source=pdf_text observed=2026-08-07T00:25:28.182851Z digest=sha256:c140ebb03dacd44c66b9de5df3195c77a4dde8e7fedf47cd1000f20fffd8f7a9

Observation a0e706bf-2f99-4ad0-824f-a74ff6e9ab18 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-07T00:25:28.186738Z digest=sha256:26106003eca43ab3a3eada798067f2397744666daacd51f336dbe1e6b0d2bc72

Observation 30068c9d-49de-4567-8a70-8d79cc034b8b · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-07T00:25:28.191293Z digest=sha256:d6bbaa1e7d2ee48b198a9b25aae56f900442d70ef9e9b2f6d6e2c4caa173333f

Observation 3c7ab8d9-8f77-4e8a-ae72-9ae7951ddd61 · outbound

This paper cites Karaev, I.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Karaev, I

Reference 36

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source=pdf_text observed=2026-08-07T00:25:28.195564Z digest=sha256:a352ee6c9c5c1eac149a5ebcf01171a7670f2d8371440ce49b837ddfcec8e6e2

Observation ee1a3068-7cf8-4923-8449-b7a870d741b2 · outbound

This paper cites Wang, Y .-Y.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Wang, Y .-Y

Reference 37

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source=pdf_text observed=2026-08-07T00:25:28.199789Z digest=sha256:bc0a2885b256ab8becd20ad365f643c7ab72ea8f310d0688203067ebf9481e45

Observation d1a81d21-eb9b-4885-8294-b8afacb1bcb9 · outbound

This paper cites Doersch, Y.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Doersch, Y

Reference 38

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source=pdf_text observed=2026-08-07T00:25:28.203862Z digest=sha256:e93e3cce471a7fb28c42fc3f5780fe9713467351ff24e8d35b558d92b504222e

Observation c594f2f1-19f5-4529-b714-9ee12bbe26fa · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-07T00:25:28.207627Z digest=sha256:89b98277a325b17634958512bc5a3d7aab3e98339e1a17297004216de8e061df

Observation a8bf833e-cdb5-47fc-98b1-4760e0902da5 · outbound

This paper cites RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 40

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source=pdf_text observed=2026-08-07T00:25:28.211687Z digest=sha256:4dd763fbab2a4a3be4e1181ff27bd9f0555510f6e12e4ae7f0212555eecce187

Observation dc215e2b-1fd1-4433-9b69-6c248cc4d4c9 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-07T00:25:28.215915Z digest=sha256:75e9b70ad60acaca2d6d17989ccdae08e9e606ed3747bf0f285a43da0e116723

Observation dcfbc43c-ef12-48e5-9bb6-41f1fab07940 · outbound

This paper cites General Flow as Foundation Affordance for Scalable Robot Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos General Flow as Foundation Affordance for Scalable Robot Learning

Reference 42

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source=pdf_text observed=2026-08-07T00:25:28.219802Z digest=sha256:419f0e6c61e0fbb37bcde994edbac57fca1a9bddfef9119c9d9e421ea89f08ed

Observation e15e356a-1f96-40b7-9fe2-ab8bfa4e96ce · outbound

This paper cites FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning

Reference 43

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local_arxiv, observed 2026-08-07T00:25:29.192888Z

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=2026-08-07T00:25:28.223800Z digest=sha256:14c1a77b5b35f7418a5792c3f155029c829cd96394b155d08361426695834afd

Observation a8b07aa3-b76d-49fb-8b1d-8c119778b33f · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Learning to Act from Actionless Videos through Dense Correspondences

Reference 44

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source=pdf_text observed=2026-08-07T00:25:28.228345Z digest=sha256:149c7986ca55b65ebca7557be477f6acccac6493e45868642cd230d2ab08e90a

Observation 91fbb09d-e7e0-4709-b66d-fdac782ee165 · outbound

This paper cites EgoMimic: Scaling Imitation Learning via Egocentric Video.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos EgoMimic: Scaling Imitation Learning via Egocentric Video

Reference 45

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source=pdf_text observed=2026-08-07T00:25:28.232414Z digest=sha256:5cac45e7b5e562fdb46e25f32c0d7733957d43ff12de548db54639dcd1d8999d

Observation 310b5131-3582-4b8e-92f2-5cd9e1f11929 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-07T00:25:28.236666Z digest=sha256:a8e268e12590fe227623a1bc19ae9f8ec1bf629f04e2fa7bed7441a673734858

Observation 5f853c00-cab7-49da-9555-d77a3ff80f97 · outbound

This paper cites Keypoint Abstraction using Large Models for Object-Relative Imitation Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 47

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source=pdf_text observed=2026-08-07T00:25:28.240936Z digest=sha256:bb839d2efd5a0d98f49e73f611864bd7726373301cffddc9a6c5af8e5b25af0f

Observation f7144044-b2fb-4113-86e1-67c3f13ec815 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-07T00:25:28.244741Z digest=sha256:fcf0fd22791c05b4441a1078372e151dbcdc1f046a3205bfc437c7ea5d757a18

Observation ece63cb4-999a-404f-b59a-8599f20fbfbf · outbound

This paper cites Manuelli, W.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Manuelli, W

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.248819Z digest=sha256:3b3178f69709927c2258a96db36c640ceda2d08dfe691b261cfee1a3b128b02c

Observation 8939d3b9-4093-4639-ae8b-f4e21b82e6c5 · outbound

This paper cites Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards

Reference 50

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source=pdf_text observed=2026-08-07T00:25:28.253013Z digest=sha256:0a3591f5d8688d6f8b1330fb9b6c7fdb7f1299038630cb244fb3a7fd0ebfa7eb

Observation 78198323-69ef-4a86-9444-c80fdea66d7c · outbound

This paper cites Flow as the Cross-Domain Manipulation Interface.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Flow as the Cross-Domain Manipulation Interface

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.257580Z digest=sha256:023b90639fa3f40f52a80abc23eb4ea6b5275b4404fb33712cd8545f7f13d310

Observation d51063cc-b432-4e4c-9e9f-aefaa3c56e49 · outbound

This paper cites Bharadhwaj, D.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Bharadhwaj, D

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.261514Z digest=sha256:74a32d94828b5748815c33f3b11dcf623d76802f7f4846f28e1e8e965714c8f4

Observation 3fa80b8f-6101-4a69-ad93-300ccb2033eb · outbound

This paper cites Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation

Reference 53

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source=pdf_text observed=2026-08-07T00:25:28.265492Z digest=sha256:83fa89ae710f04c547feaf43e602adb7abdfb5ece5ee6bf9d31fce7acfb349d3

Observation 034fbaa4-c25e-4511-b998-a8e8e01c2b53 · outbound

This paper cites Any-point Trajectory Modeling for Policy Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Any-point Trajectory Modeling for Policy Learning

Reference 54

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source=pdf_text observed=2026-08-07T00:25:28.269810Z digest=sha256:367be67d536d13dde4c18e25f5590914b2116b0d6899202212d4466cdc1c9537

Observation ec52b4d8-fe82-46f9-b0c7-0bde055097d6 · outbound

This paper cites Hansen, X.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Hansen, X

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.273832Z digest=sha256:1f5317f00196232bf406890e6e0ed0fcd4eca65feb8e737cc40e6166373df2c0

Observation 77c1fa4b-324f-4126-a36d-37ce1bca30e7 · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 56

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source=pdf_text observed=2026-08-07T00:25:28.278008Z digest=sha256:d81131f25ee55a5374d15b8a10e26809b663327d02b15312067a92835476df01

Observation e0de7632-f701-43cc-9c08-350fef99f169 · outbound

This paper cites Discrete Codebook World Models for Continuous Control.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Discrete Codebook World Models for Continuous Control

Reference 57

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verified exact
local_arxiv, observed 2026-08-07T00:25:28.939003Z

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=2026-08-07T00:25:28.282082Z digest=sha256:d4e7040bb1bf4975a814dbaa91817cdf979c61d432d39b375110d28862a0a28a

Observation 4732e006-7962-45f8-bf39-40c9cd1f748e · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Finite Scalar Quantization: VQ-VAE Made Simple

Reference 58

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source=pdf_text observed=2026-08-07T00:25:28.286232Z digest=sha256:ce3e5fb2ab5dcd3153753c7e7ac71282fc84c448b38d18f50887f50222ecb0de

Observation 3c0354a6-e390-424f-96ef-e98ea2f52c6d · outbound

This paper cites Neural Discrete Representation Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Neural Discrete Representation Learning

Reference 59

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source=pdf_text observed=2026-08-07T00:25:28.290224Z digest=sha256:84a25785431300c2e9f0b9a78527a4d1ff4afb4339a3283d03bc4cfdc3e07bb6

Observation a0ad9177-62b7-4f50-a95c-0760cebf9166 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-07T00:25:28.294695Z digest=sha256:c507541a90b8d520695e7f28da54e800846ae289c33c7038d357bcc25b06681c

Observation a0185014-885e-40de-af68-c7c58fe72a50 · outbound

This paper cites Raffel, N.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Raffel, N

Reference 61

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.303544Z digest=sha256:32c7ca5be3b22bc8735b5e3a019d3f8b00db2cf2b46d12a4b87117ef2b27fadc

Observation b92dd05c-cfe1-4814-a984-7b2b5f221b43 · outbound

This paper cites BAKU: An Efficient Transformer for Multi-Task Policy Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos BAKU: An Efficient Transformer for Multi-Task Policy Learning

Reference 62

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source=pdf_text observed=2026-08-07T00:25:28.307250Z digest=sha256:d583d039350c875a7610642ca7786a2df465c314f5e4faf5d2c4132de81f1aa9

Observation 835f13a0-3639-4d14-a2f4-0d5805b88fae · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T00:25:28.311355Z digest=sha256:821a70a47c513ec92a7aa58f1cf3f1e740767057c78eea93619f57aff8d69b5b

Observation 6a83375c-d0de-47c8-806c-b63525dd174b · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-07T00:25:28.315141Z digest=sha256:02343322add427ae908075f940726a13f31483797b5d82d98439af928c2fa938

Observation c35cc0d6-b830-4e1e-bcc3-ebf70b1719fc · outbound

This paper cites something something.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos something something

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.867751Z

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=2026-08-07T00:25:28.318863Z digest=sha256:4bc1bf9a83b69359fa930889afdd8793947e93b477fdb97d928919d6d5096e79

Observation 1272071a-45b3-484d-a561-474054ea57c4 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 66

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source=pdf_text observed=2026-08-07T00:25:28.326612Z digest=sha256:fb58faf183a4e0a9dc4a89c35c98047a902471cbafcad235da4b4b7e44061183

Observation d3fb425d-f7c7-468a-891c-3cbc757d12c5 · outbound

This paper cites Seer: Language Instructed Video Prediction with Latent Diffusion Models.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Seer: Language Instructed Video Prediction with Latent Diffusion Models

Reference 67

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source=pdf_text observed=2026-08-07T00:25:28.330530Z digest=sha256:11a7d15a52125e569852ccea267ed061e7f0b0ac29cc9963d3333ad33ed29ee1

Observation 7b34fcd4-a7b9-4d1c-b766-6f083ef5fd42 · outbound

This paper cites QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Reference 69

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source=pdf_text observed=2026-08-07T00:25:28.338494Z digest=sha256:333ee38f7dc7aee9f147978a210ce793c5f870abeca3f89fd51a6bf1ab8cf29b

Observation 3446c36d-6c31-4ab5-b5df-9fd4bd1bf586 · outbound

This paper cites DELTA: Dense Efficient Long-range 3D Tracking for any video.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos DELTA: Dense Efficient Long-range 3D Tracking for any video

Reference 70

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.342295Z digest=sha256:1557718265a1266e8e6b3d582438e4a4b60b4f828dd76cd127fcff80778eb7aa

Observation 70194f46-9635-4e27-b6df-c272cbd325e1 · outbound

This paper cites Towards Principled Representation Learning from Videos for Reinforcement Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 71

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.346026Z digest=sha256:9d8a8db4757762d611c96d1cc278a1a67044fd9ee995f2b8307c4d8bbf0bf391

Observation 071e1438-6dc0-4100-9895-fb4fd313ac20 · outbound

This paper cites Dichotomy of Control: Separating What You Can Control from What You Cannot.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Dichotomy of Control: Separating What You Can Control from What You Cannot

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.349896Z digest=sha256:428b378c4a746b8cbece627e23aa3f001a0f9224ed4e1be8c76f26d7d9b84ef7

Observation 3a23dc8b-7168-4c98-8395-76353334d3d0 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:29.853732Z

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=2026-08-07T00:25:28.353685Z digest=sha256:04d91f57b95ed255bb7d56948e4595dd3846d8c19820346618e28f0f7a874f12

Observation b9cc8039-2abb-47bb-a88f-c2ed5b80b7cb · outbound

This paper cites MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos MimicPlay: Long-Horizon Imitation Learning by Watching Human Play

Reference 74

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.357429Z digest=sha256:9cab9afb9ae7cc57e43a723b75ee8ee7fed0797b3203789c7c0d9987bd6577e6

Observation 278a6f46-1b08-483a-9c03-fba4cc193a4d · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 75

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unresolved
raw_fallback, observed 2026-08-07T00:25:29.838789Z

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=2026-08-07T00:25:28.361363Z digest=sha256:1c6c1a01b726092cd6ad9f6960812ddaa8a3faab879c7827f03a6ba0b97b5447

Observation c888c584-58b2-4f15-ae02-d5177b14a1f5 · outbound

This paper cites Lynch, M.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Lynch, M

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.825410Z

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=2026-08-07T00:25:28.365279Z digest=sha256:13ead1e7f4591dc1606af9f1d10cefd7a8788829319ba8d2a52fed2ea6f57d48

Observation 99a46d55-15d1-4cea-aa35-d011f501492d · outbound

This paper cites Zero-Shot Robot Manipulation from Passive Human Videos.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Zero-Shot Robot Manipulation from Passive Human Videos

Reference 77

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.368916Z digest=sha256:6f7f5f44c30f46351e78dc7b14d95844921f1c1099cb3728d8e8f1beda6c19da

Observation 0d7b3d07-ed33-4500-a4f8-dbd53ef09436 · outbound

This paper cites Xiong, Q.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Xiong, Q

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.811851Z

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=2026-08-07T00:25:28.372727Z digest=sha256:44b5cc47d9aed8e819c8778e9a5e8cb7f870c88888063be0a86dcaf5f4703934

Observation c5e0ef0f-fcf0-4450-87c0-4a449fc5cf99 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:29.798457Z

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=2026-08-07T00:25:28.376684Z digest=sha256:c762e0a4e2fba9a4301d7ddf658bdaea640987eaa472c03a968ce716d35c13cc

Observation b19dbd88-5f05-4f20-9e03-87fb81d3dbb4 · outbound

This paper cites Mandikal and K.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Mandikal and K

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.783767Z

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=2026-08-07T00:25:28.380654Z digest=sha256:7bac01de2d5e21a007b7b33dcf15e99ab321a54c462306cf7e68c4f9d37b4bdf

Observation 80155123-6ac1-442e-aa2d-883a4cc9e3ca · outbound

This paper cites Human-to-Robot Imitation in the Wild.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Human-to-Robot Imitation in the Wild

Reference 81

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source=pdf_text observed=2026-08-07T00:25:28.384598Z digest=sha256:9909e1e544c07d93bb844680c3e2b59d74915b92b0dae50b7a5de7a4ec1b7dd0

Observation 26e9db53-2194-4000-ab24-6bba51c09650 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-07T00:25:28.388738Z digest=sha256:0f38ffd0e4062c9b6cfd31242317c7394de8b41931fee973d09fad4ab99e44c2

Observation cca5490f-880e-4174-afcc-dfe68fd41a2a · outbound

This paper cites Structured World Models from Human Videos.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Structured World Models from Human Videos

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.392477Z digest=sha256:584df94774df100296864a2bf563e74290994a9d412ac4266dba907bd9001651

Observation 34699a67-97cc-4ed9-a389-5ce37ae560c2 · outbound

This paper cites an unresolved cited work.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Unresolved cited work

Reference 84

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raw_fallback, observed 2026-08-07T00:25:29.760050Z

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=2026-08-07T00:25:28.397204Z digest=sha256:80931f3eb299ddce69c61433f97746f2b257ea9aa46dfd81ade192c28f6dc362

Observation df42e165-53d6-48f8-81fd-cad8a9b57618 · outbound

This paper cites Reinforcement Learning with Videos: Combining Offline Observations with Interaction.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Reinforcement Learning with Videos: Combining Offline Observations with Interaction

Reference 85

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.401214Z digest=sha256:099ce6a1925bcee592d3078a04ac0534e4e10157a7be0a5c9253c4cf4758eccc

Observation ee060843-8dd3-43d7-9a17-196e0c31e7a9 · outbound

This paper cites Robotic Offline RL from Internet Videos via Value-Function Pre-Training.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Robotic Offline RL from Internet Videos via Value-Function Pre-Training

Reference 86

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source=pdf_text observed=2026-08-07T00:25:28.405387Z digest=sha256:6a8bd12a8cc06f9375614dcd53aa0318ca0dc997dd4aeb12350f98f68ad92383

Observation 94f52f5b-de56-45c7-8885-a6a5ba6a864e · outbound

This paper cites Ghosh, C.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Ghosh, C

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.746685Z

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=2026-08-07T00:25:28.409013Z digest=sha256:633e0f8905156b094129da4873a09e2c062f82fab51babc712ae281cb5744fd7

Observation 7129ff38-3cd0-4067-b969-88022bba09b7 · outbound

This paper cites Genie: Generative Interactive Environments.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Genie: Generative Interactive Environments

Reference 88

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.412830Z digest=sha256:ccae1b3a07af27482cbbeeed6354dc5dbecbfd12a036845936ab0dc045879fae

Observation 06b9e4bb-35f4-4098-ae1e-4ccbca6613f0 · outbound

This paper cites Video Prediction Models as Rewards for Reinforcement Learning.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Video Prediction Models as Rewards for Reinforcement Learning

Reference 89

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.417137Z digest=sha256:c9ef512a0c67a30e9ef0ab268be8f3ae92f04e9d5cee5b05f0d0720f40c5bdc3

Observation a36d6b59-c8e4-4c4f-a1b5-b149888f5027 · outbound

This paper cites Diffusion Reward: Learning Rewards via Conditional Video Diffusion.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Reference 90

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.420945Z digest=sha256:f8f19be396071bbdd9c7e0d45ad33111256b3b73e3703a9a7bb2c582e3ef9b21

Observation 693cb861-a20f-40d8-9e0f-82e29f592343 · outbound

This paper cites Schmidt and M.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Schmidt and M

Reference 91

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.732169Z

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=2026-08-07T00:25:28.425315Z digest=sha256:6059ad59cbcba365d7f50c110fe0393f2d27d9d3965e2424129dd974eba7e754

Observation 3e504796-8b7b-49d1-ae66-4252b4beb498 · outbound

This paper cites VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation

Reference 92

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.429544Z digest=sha256:53fc8c78f0b7472be8a14d87968d7c778daa114f1f6d243182452d36e7b227c4

Observation 334ba018-0cee-46fd-9851-a627f3f841ff · outbound

This paper cites Dreamitate: Real-World Visuomotor Policy Learning via Video Generation.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 93

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source=pdf_text observed=2026-08-07T00:25:28.433785Z digest=sha256:95bc85f20d59444465d1fe8d7f30422b54c1a30c5cf0f786a1f17dfdc4892a3f

Observation dbee00d0-ae9b-4206-a2cf-15f072c67887 · outbound

This paper cites Perceiver: General Perception with Iterative Attention.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Perceiver: General Perception with Iterative Attention

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.437698Z digest=sha256:85ac09d324c21e278dd32d5060a657d1f1247f86460585cb2c83bb032233ffc2

Observation 0ad6e59e-858e-4f4b-b839-b70fe19d6407 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos DINOv2: Learning Robust Visual Features without Supervision

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.441888Z digest=sha256:8b570af3fe41a87cf9643848875b26809619ce1e03cc799b07f83502f1d66638

Observation 3a625d1c-72a5-4590-bae8-c712e329a8ab · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 96

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.445824Z digest=sha256:2289aaa7a4eaaf2a2ca48f45123766067d384a25468701b3acf041d93a7a19ec

Observation 80b6b85f-7c2d-4eaf-8e25-98df681e5119 · outbound

This paper cites Residual Networks Behave Like Ensembles of Relatively Shallow Networks.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 97

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no resolver link, observed 2026-08-07T00:25:28.449709Z

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source=pdf_text observed=2026-08-07T00:25:28.449709Z digest=sha256:51ffcf6cb5449b960919ae4b573e932ab70546fd880c306e50f029e9774db52c

Observation 6db03f2a-2622-40d1-a908-91cf19fba7ea · outbound

This paper cites Flow Matching for Generative Modeling.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Flow Matching for Generative Modeling

Reference 98

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.453865Z digest=sha256:4e14eab200037f86bbbbcb027cb2eb9ad4e628afd3af920390d129ff5d20bab6

Observation 28ff5339-4649-4369-a3bc-49f06b88c5e7 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 99

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:25:28.458572Z digest=sha256:64dff7e1af47e6a604f20edd17b85047ead19899311ec0cb6432eeb61f6e7aa5

Observation d3e67c28-11e1-4468-9d05-809e95ce0b75 · outbound

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 100

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no resolver link, observed 2026-08-07T00:25:28.462987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.462987Z digest=sha256:ad249086e865647c53e446c76bfd67845bf302097f280cde813699eac1e78a48

Observation afc2e923-0000-4db0-bb08-e7356c3cf667 · outbound

This paper cites Require:DatasetsV,R 1:Preprocess keypoint tracksκ t inV 2:Learn latent motion encoding to compressκ t into discrete tokensz t using Eq.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Require:DatasetsV,R 1:Preprocess keypoint tracksκ t inV 2:Learn latent motion encoding to compressκ t into discrete tokensz t using Eq

Reference 106

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.717442Z

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=2026-08-07T00:25:28.467362Z digest=sha256:fc81de59d49f75708ab1e356c12d04e6e36df584a743dc53f925e8d7c66d202c

Observation a4be4f32-a0bb-4266-b7a0-127c891a5f5d · outbound

This paper cites Put the Rubik’s Cube on the Box.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Put the Rubik’s Cube on the Box

Reference 107

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verified fuzzy
raw_fallback, observed 2026-08-07T00:25:29.702859Z

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=2026-08-07T00:25:28.471501Z digest=sha256:2a9217e9473a7fb980c7fa7800853d47e821c29ea17729e6b6955468ec0a46e7

Pith citing papers

Observation 03073101-ad62-4ce1-881e-0d6019ae5e98 · inbound

Motus: A Unified Latent Action World Model cites this paper.

Motus: A Unified Latent Action World Model AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-12T18:44:36.752916Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T18:44:36.636455Z digest=sha256:4bf486487f7a8627c96aa03872a3ffe7115afcfe9e7c79755cbc6909c4d73f81

Observation 81a9085d-bddf-4715-8732-5984654e126c · inbound

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models cites this paper.

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 34

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verified exact
arxiv_id, observed 2026-05-15T20:20:17.670635Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-15T20:18:31.988002Z digest=sha256:eea63d75685ab2c7b056fb4fa7f828fd5299fbad56536b3676e04b633bc03972

Observation 2ac53cea-1375-4419-ad83-b290398fd322 · inbound

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos cites this paper.

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 6

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no resolver link, observed 2026-07-15T12:36:50.019492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:36:50.019492Z digest=sha256:95ccd453d8c2f42bde22815276353b1b5cb28fb3e8b1e99c1e7ca4717a308475

Observation 1aeb539c-e694-48c9-91ee-29bf2a3e458f · inbound

Learning Long-term Motion Embeddings for Efficient Kinematics Generation cites this paper.

Learning Long-term Motion Embeddings for Efficient Kinematics Generation AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 11

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metadata mismatch
arxiv_id, observed 2026-05-11T09:36:04.882205Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T15:55:26.222900Z digest=sha256:a16a0aa831ae5aa8ef2acb9679bb29e894b083e3b1171b876a83b1b4bdec11b6

Observation bec272ba-fdcd-48dd-b8ae-53062c9d06f6 · inbound

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation cites this paper.

From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:12:18.270681Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-13T04:44:03.661688Z digest=sha256:b57b98dea9ba7cc28bd07b5aac8fcdedc41a08a4ac1aacf1a28e4272af8e7ec9

Observation 189197f9-3f58-4b5d-82e8-cbf428f593ec · inbound

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation cites this paper.

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T02:07:33.581277Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T16:10:40.130366Z digest=sha256:9aa04a934567bcd8c6650e6942800e456b360bbfa390c6112bd6f91a535b554f

Observation ab62b0f5-ef91-4a9e-916b-b2ba9f9a284c · inbound

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition cites this paper.

LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 42

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verified exact
arxiv_id, observed 2026-07-03T10:27:56.241904Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T10:02:54.183839Z digest=sha256:3663978ab08aec62371c54279218a128bb896281950c9541dbef44dbc5d7b127

Observation c4a58cc9-70a5-47d4-af95-cf0eabeb0258 · inbound

Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models cites this paper.

Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:49:38.595394Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T14:07:31.139419Z digest=sha256:aa38aaccfce7f9ab23c2c433b1558c4a9df3a7167f7139b7fe7ca0f148dd8397

Observation 32724300-c32f-40e6-aa7c-4384bade8bf7 · inbound

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation cites this paper.

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:35:43.635328Z

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=2026-07-01T01:59:30.986555Z digest=sha256:1705d17d122fba2fef27b44bddee23245699b18efd72b5c6cd19cf86afdcd40a