Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T23:44:35.238493Z
Paper Citation Record · LEDGER
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos
As of 6 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.18955.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
30 of 30 outbound references displayed
- verified exact20
- verified fuzzy10
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bb342532-56d7-42a3-b206-d119dd4d806c · outbound
This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Rt-2: Vision-language-action models transfer web knowledge to robotic control
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.230888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a28e0a3-7ee6-4467-8b14-3e60063ec3b3 · outbound
This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.889233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8aca3682-2511-48d3-a305-abda9e933487 · outbound
This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.874547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96d87619-2dc6-41bf-8509-7a1e8fdfd306 · outbound
This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x- embodiment collaboration 0.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Open x-embodiment: Robotic learning datasets and rt-x models: Open x- embodiment collaboration 0
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.241648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 962c5af2-eb31-4847-a09f-fc5f0761e44e · outbound
This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.896471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25881b6c-f5df-4391-9789-9d9294e7237a · outbound
This paper cites Egomimic: Scaling imitation learning via egocentric video.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Egomimic: Scaling imitation learning via egocentric video
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.239467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation baec75bf-216e-4c7f-a54a-623992b13991 · outbound
This paper cites Motiontrans: Human vr data enable motion-level learning for robotic manipulation policies.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Motiontrans: Human vr data enable motion-level learning for robotic manipulation policies
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.894675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 68c83ee3-f061-42eb-b622-b81583aae9fa · outbound
This paper cites H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.877582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f84b4399-2964-4786-994f-8c75f4e7438c · outbound
This paper cites Latent Action Pretraining from Videos.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Latent Action Pretraining from Videos
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.879308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f2cded77-958a-4ab6-a065-0eeb889d2748 · outbound
This paper cites IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.900671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2423e44a-e6ba-4d25-8d5f-08ed83fbd2f2 · outbound
This paper cites What do latent action models actually learn?.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos What do latent action models actually learn?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.871582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f51869ce-30bc-4a65-a8e3-86b2453ddd58 · outbound
This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.881847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 579d7492-c339-49a3-9486-d4cdcdfbede7 · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos OpenVLA: An Open-Source Vision-Language-Action Model
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.899325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d047ecf8-978d-4991-9db0-dc9d176960d9 · outbound
This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.903760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6133d7c9-625a-43c0-b8e5-61266fa3b3fe · outbound
This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Diffusion policy: Visuomotor policy learning via action diffusion
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.246257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 824544dd-455b-4142-a12a-5a01ccb88480 · outbound
This paper cites Flow Matching for Generative Modeling.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Flow Matching for Generative Modeling
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.889027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b374a28c-3af3-4724-8064-9ad02607aed8 · outbound
This paper cites villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.891429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e831ddd6-8a35-48ae-a903-dd2dfc103e04 · outbound
This paper cites Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.235889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f5ba9d0b-e4cb-49be-8792-dc6820f2e1db · outbound
This paper cites Segment Anything.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Segment Anything
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.886677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 229b6af9-98a7-4b08-a783-682d4c61b499 · outbound
This paper cites Prismatic vlms: Investigating the design space of visually- conditioned language models,.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Prismatic vlms: Investigating the design space of visually- conditioned language models,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.228346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a65ac982-f3e9-490d-b482-7be63559fad7 · outbound
This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.897292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 04ff4257-5693-487c-9e42-ed5017a8f3ea · outbound
This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos FAST: Efficient Action Tokenization for Vision-Language-Action Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.883254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 975188d9-b63c-4a61-922e-67ceed4c0b18 · outbound
This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.893940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b4e3148a-1276-46aa-b67a-925586bfd33d · outbound
This paper cites Bridgedata v2: A dataset for robot learning at scale,.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Bridgedata v2: A dataset for robot learning at scale,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.237616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae6cbf74-cd35-43c2-aa91-0a3697f67341 · outbound
This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learn- ing.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Libero: Benchmarking knowledge transfer for lifelong robot learn- ing
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.243732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7cd1eda-e2f0-4e71-a07b-d71711045c2c · outbound
This paper cites RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.869844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 148a5ba7-9175-4e64-820b-de5327d18669 · outbound
This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.880331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 551bc605-f877-4b8d-94e9-6ea46cb48e3c · outbound
This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:49:01.891877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 04f6150f-4924-444c-a45e-214a3e1ead4a · outbound
This paper cites Furniturebench: Reproducible real-world benchmark for long-horizon complex manipulation,.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Furniturebench: Reproducible real-world benchmark for long-horizon complex manipulation,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.225763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b3b6e15c-f670-4753-8908-0678d65b0790 · outbound
This paper cites Similarity of neural network representations revisited.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos Similarity of neural network representations revisited
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T23:40:13.233943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.