Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T17:23:24.255829Z
Paper Citation Record · LEDGER
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
As of 4 August 2026, this Paper Citation Record lists 100 of 135 outbound references and 100 inbound Pith citation observations for arXiv:2310.08864.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:29:58.560875Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T23:17:45.350335Z
Reference resolution
100 of 135 outbound references displayed
- verified exact17
- verified fuzzy82
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 178d6776-36db-470d-b017-e16c46ee1e1a · outbound
This paper cites Learning transferable visual models from natural language supervision.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning transferable visual models from natural language supervision
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.282476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2485ff43-6a67-445d-8b0a-89a7213f5fe4 · outbound
This paper cites GPT-4 technical report.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models GPT-4 technical report
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.295269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 47ed513d-6aa9-47f8-ac1c-c7db4b9ac678 · outbound
This paper cites PaLM 2 Technical Report.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models PaLM 2 Technical Report
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:59:27.667882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fcc1afb4-e813-41a5-b0a1-b9a4f37b733b · outbound
This paper cites Google landmarks dataset v2 - a large-scale benchmark for instance-level recognition and retrieval.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Google landmarks dataset v2 - a large-scale benchmark for instance-level recognition and retrieval
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.304725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 41bc16d7-153f-4c07-a8c2-7a63fabfe05c · outbound
This paper cites Tencent ML-images: A large-scale multi-label image database for visual representation learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Tencent ML-images: A large-scale multi-label image database for visual representation learning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.320351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5fb35c1b-495f-479e-8e9d-83034e0b3195 · outbound
This paper cites DBpedia - a large-scale, multilingual knowledge base extracted from wikipedia.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models DBpedia - a large-scale, multilingual knowledge base extracted from wikipedia
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.325215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a64d3b5e-6df8-400c-81bd-3605e7620b04 · outbound
This paper cites Web data commons- extracting structured data from two large web cor- pora.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Web data commons- extracting structured data from two large web cor- pora
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.334353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d80ed68-f3f0-4550-aa27-c4fd9fa855b4 · outbound
This paper cites RT-1: Robotics transformer for real-world control at scale.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RT-1: Robotics transformer for real-world control at scale
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.345343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 23bba126-a8fd-4f01-b6e9-09e8094c89de · outbound
This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:23:24.449479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c02fa1e-375a-41b5-911c-48baad8b582d · outbound
This paper cites Learning modular neural network policies for multi-task and multi-robot transfer.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning modular neural network policies for multi-task and multi-robot transfer
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.349795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48b211f3-6c54-42b8-869c-cb2bd9a5fe21 · outbound
This paper cites Hardware con- ditioned policies for multi-robot transfer learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Hardware con- ditioned policies for multi-robot transfer learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.355833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e3e895a-7a13-4cc6-93de-6449d4b5b618 · outbound
This paper cites Graph networks as learnable physics engines for inference and control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Graph networks as learnable physics engines for inference and control
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.372656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70edaf7c-bf45-4558-ad82-ed958463f166 · outbound
This paper cites Learning to control self-assembling morphologies: a study of generalization via modularity.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning to control self-assembling morphologies: a study of generalization via modularity
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.382014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11f7ab33-ffcd-4bb0-a0f2-7b50492d2a7b · outbound
This paper cites Variable impedance control in end-effector space. an action space for reinforcement learning in contact rich tasks.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Variable impedance control in end-effector space. an action space for reinforcement learning in contact rich tasks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.386360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5abd6c53-e52a-485d-80a0-f1f6bae04869 · outbound
This paper cites One policy to control them all: Shared modular policies for agent- agnostic control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models One policy to control them all: Shared modular policies for agent- agnostic control
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.399358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c147a556-1c96-43fb-bbe4-69f537828536 · outbound
This paper cites My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.546621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d2a29c4-d92f-4f40-8d00-24674a290938 · outbound
This paper cites XIRL: Cross-embodiment inverse reinforcement learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models XIRL: Cross-embodiment inverse reinforcement learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.410747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6711b3f-e484-4aa1-a075-5571f6ba888e · outbound
This paper cites Bayesian meta-learning for few-shot policy adaptation across robotic plat- forms.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Bayesian meta-learning for few-shot policy adaptation across robotic plat- forms
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.424352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea443b51-f772-483b-a572-dbe0fa21c041 · outbound
This paper cites Meta- morph: Learning universal controllers with transform- ers.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Meta- morph: Learning universal controllers with transform- ers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.433189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fac56664-f6da-4b81-afa9-68b059fd3617 · outbound
This paper cites A gen- eralist dynamics model for control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A gen- eralist dynamics model for control
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.437765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d4fcd46-508d-4ee1-99a2-5c7ae52f27d6 · outbound
This paper cites GNM: A general navigation model to drive any robot.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models GNM: A general navigation model to drive any robot
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.444355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9c91fb8-80cb-4dc9-925f-a21d93d069ec · outbound
This paper cites Modularity through attention: Efficient training and transfer of language-conditioned policies for robot manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Modularity through attention: Efficient training and transfer of language-conditioned policies for robot manipulation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.451667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5161ae21-2f13-46f3-8143-3d20568cdcd2 · outbound
This paper cites RoboNet: Large-scale multi-robot learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RoboNet: Large-scale multi-robot learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.468356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 609d52f2-55cc-42eb-9e02-1bc93beec2c5 · outbound
This paper cites Know thyself: Transferable visual control policies through robot-awareness.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Know thyself: Transferable visual control policies through robot-awareness
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.479359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac657101-c05f-4144-ba2d-a754b9ae6e00 · outbound
This paper cites RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.502341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee13515e-386a-4381-90e1-f5c5d59ded4f · outbound
This paper cites Polybot: Training One Policy Across Robots While Embracing Variability.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Polybot: Training One Policy Across Robots While Embracing Variability
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.510240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d086bec7-9725-4bef-8e1d-d18db97a0ade · outbound
This paper cites A generalist agent.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A generalist agent
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.489347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5d16cdc-65a5-4994-8713-2146f96c1565 · outbound
This paper cites Learning Robot Manipulation from Cross-Morphology Demonstration.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning Robot Manipulation from Cross-Morphology Demonstration
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.555892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8cda9149-1382-4344-8782-576644880ec0 · outbound
This paper cites Robot learning with sensorimotor pre- training.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Robot learning with sensorimotor pre- training
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.493582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c7096806-2444-419f-a6b1-fb71cfb4c5ef · outbound
This paper cites UniGrasp: Learning a unified model to grasp with multifingered robotic hands.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models UniGrasp: Learning a unified model to grasp with multifingered robotic hands
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.562371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7acaa36d-dfc0-48aa-8218-cd548b43b9dc · outbound
This paper cites Adagrasp: Learning an adaptive gripper-aware grasping policy.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Adagrasp: Learning an adaptive gripper-aware grasping policy
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.575344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63092245-52f5-4427-94d4-2de2608ab564 · outbound
This paper cites ViNT: A Foun- dation Model for Visual Navigation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models ViNT: A Foun- dation Model for Visual Navigation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.581513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dff2cf2c-fbfa-4e0d-aa82-b46ecb03fdcf · outbound
This paper cites Imitation from observation: Learning to imitate behaviors from raw video via context translation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Imitation from observation: Learning to imitate behaviors from raw video via context translation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.589340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7306f865-d9e9-4f6f-a10d-ac0911fd5896 · outbound
This paper cites One-shot imitation from observing hu- mans via domain-adaptive meta-learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models One-shot imitation from observing hu- mans via domain-adaptive meta-learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.601478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65a60041-8ef4-430e-b4e7-f74f396f7df3 · outbound
This paper cites Third-person visual imitation learning via decoupled hierarchical controller.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Third-person visual imitation learning via decoupled hierarchical controller
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.605973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1bf7b9b3-80c1-40ef-b636-f8128555e79f · outbound
This paper cites AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.368656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a199127-0ab8-4544-a931-9dd241b28175 · outbound
This paper cites Learning one-shot imitation from humans without humans.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning one-shot imitation from humans without humans
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.624400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4a636ee-121d-45ae-b678-369d3788bd73 · outbound
This paper cites Reinforcement learning with videos: Combining offline observations with interaction.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Reinforcement learning with videos: Combining offline observations with interaction
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.632494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b67cee3-9ed9-4647-9515-1fc2e9f77dd5 · outbound
This paper cites Learning by watching: Physical imita- tion of manipulation skills from human videos.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning by watching: Physical imita- tion of manipulation skills from human videos
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.640673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1e26d8c-446f-4d81-a97e-4387551c17aa · outbound
This paper cites BC-Z: Zero-shot task generalization with robotic imitation learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models BC-Z: Zero-shot task generalization with robotic imitation learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.650034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77b5b7fd-950f-4bd5-8499-84e465026f9c · outbound
This paper cites Human-to-robot imitation in the wild.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Human-to-robot imitation in the wild
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.670294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3b65d28-24a7-45dd-b51d-8916de2f8204 · outbound
This paper cites Embodied concept learner: Self-supervised learning of concepts and map- ping through instruction following.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Embodied concept learner: Self-supervised learning of concepts and map- ping through instruction following
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.684692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 772a72e5-64a2-48a3-b02d-1428ed601070 · outbound
This paper cites Affordances from human videos as a versatile representation for robotics.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Affordances from human videos as a versatile representation for robotics
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.695603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1dd3560f-ac81-43b2-8ba2-79fb22f5ee07 · outbound
This paper cites Unsupervised Perceptual Rewards for Imitation Learning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Unsupervised Perceptual Rewards for Imitation Learning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.401377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c74f9780-ce7b-43c2-970f-f050aef08eaa · outbound
This paper cites Concept2Robot: Learning manipulation con- cepts from instructions and human demonstrations.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Concept2Robot: Learning manipulation con- cepts from instructions and human demonstrations
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.704340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d34ae0ed-cb99-4719-b501-f14ba59a4359 · outbound
This paper cites Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.495456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a9bbafe-b871-4ffb-adf1-26c5e9a697a9 · outbound
This paper cites Graph inverse reinforcement learning from diverse videos.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Graph inverse reinforcement learning from diverse videos
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.715380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 82892d69-99eb-463b-b7d2-52a333e9c95b · outbound
This paper cites Learning reward functions for robotic manipulation by observing humans.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning reward functions for robotic manipulation by observing humans
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.728968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97e832bc-b590-4337-8f3d-64e4d8912d12 · outbound
This paper cites Manipulator- independent representations for visual imitation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Manipulator- independent representations for visual imitation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.744330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e110446b-e4e5-4298-8e0b-b1198babd40c · outbound
This paper cites Mimicplay: Long- horizon imitation learning by watching human play.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Mimicplay: Long- horizon imitation learning by watching human play
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.756943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90667045-9f8c-4cc7-81b4-4adc4bce18a8 · outbound
This paper cites Learning pre- dictive models from observation and interaction.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning pre- dictive models from observation and interaction
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.763462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f7fe80e-4bdb-425d-a5c3-51e7fb936bb0 · outbound
This paper cites R3m: A universal visual representation for robot manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models R3m: A universal visual representation for robot manipulation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.766540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e78311b8-b38c-459f-9f01-d6327f5fcbfe · outbound
This paper cites Masked Visual Pre-training for Motor Control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Masked Visual Pre-training for Motor Control
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.375414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfe39743-c96c-4cdd-b1b7-256ab78d4f28 · outbound
This paper cites Real-world robot learning with masked visual pre-training.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Real-world robot learning with masked visual pre-training
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.769413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4196a696-dc19-40fa-a0aa-e3fb74bcf091 · outbound
This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T04:42:52.948246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 299f12b5-75c4-4836-aa6e-882dcc6a1fbc · outbound
This paper cites Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T17:23:24.436766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 827ed74b-4461-4d8c-83a1-64eef09dc05b · outbound
This paper cites Language-driven represen- tation learning for robotics.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Language-driven represen- tation learning for robotics
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.774685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0193285f-9a48-4a32-a727-5eb1618e7488 · outbound
This paper cites EC2: Emergent communication for embodied control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models EC2: Emergent communication for embodied control
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.780187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 245a2bcf-2d9a-4378-a906-076da6fa1e7b · outbound
This paper cites Affordances from human videos as a versatile representation for robotics.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Affordances from human videos as a versatile representation for robotics
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.785369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f534b952-bb41-40d9-b5c7-014f34898407 · outbound
This paper cites Efficient grasping from RGBD images: Learning using a new rectangle representation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Efficient grasping from RGBD images: Learning using a new rectangle representation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.788626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67f13fbb-9dc3-4d9e-ad02-b807495f7857 · outbound
This paper cites Supersizing self- supervision: Learning to grasp from 50k tries and 700 robot hours.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Supersizing self- supervision: Learning to grasp from 50k tries and 700 robot hours
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.793057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36f6c061-7c65-4c93-a0d8-a121b8ce870a · outbound
This paper cites Leveraging big data for grasp planning.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Leveraging big data for grasp planning
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.800970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8ee9c88-7e59-4de8-8a21-fb9259b75e9b · outbound
This paper cites Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.806886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80fc3d7d-2a9f-4cab-89c0-ecbb02afe9c8 · outbound
This paper cites Jacquard: A large scale dataset for robotic grasp detection.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Jacquard: A large scale dataset for robotic grasp detection
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.810379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb5891a4-90fa-4072-97f8-b8ac4539f647 · outbound
This paper cites Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.823775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 840759de-2a17-442a-beb3-3abaa9eb7c1b · outbound
This paper cites QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.391566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6627b929-1eec-4887-acca-adf33f4a0a6c · outbound
This paper cites Contactdb: Analyzing and predicting grasp contact via thermal imaging.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Contactdb: Analyzing and predicting grasp contact via thermal imaging
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.836357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52a58244-474b-4bb2-a20b-e389bb863df5 · outbound
This paper cites Graspnet- 1billion: a large-scale benchmark for general object grasping.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Graspnet- 1billion: a large-scale benchmark for general object grasping
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.843091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51bc938c-a0be-47e2-bb1b-010c1958858a · outbound
This paper cites ACRONYM: A large-scale grasp dataset based on simulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models ACRONYM: A large-scale grasp dataset based on simulation
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.849388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b086b0e-72db-4cbb-8819-044967c239c2 · outbound
This paper cites Using simulation and domain adaptation to improve effi- ciency of deep robotic grasping.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Using simulation and domain adaptation to improve effi- ciency of deep robotic grasping
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.866689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f4821c8-f581-417e-8c6d-00d0e083ddd7 · outbound
This paper cites Fanuc manipulation: A dataset for learning-based manipulation with fanuc mate 200iD robot.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Fanuc manipulation: A dataset for learning-based manipulation with fanuc mate 200iD robot
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.877352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d841ae6a-5674-4604-9f82-ef584030555c · outbound
This paper cites More than a million ways to be pushed. a high- fidelity experimental dataset of planar pushing.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models More than a million ways to be pushed. a high- fidelity experimental dataset of planar pushing
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.886384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85e34e92-e2d7-4b41-9188-634681667482 · outbound
This paper cites Deep visual foresight for plan- ning robot motion.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Deep visual foresight for plan- ning robot motion
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.890901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5228cd2-17e7-462e-a504-f0784a9dcccc · outbound
This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.540735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 91e5efe1-aed9-4c8d-8ef4-19bb1152ea60 · outbound
This paper cites The princeton shape benchmark.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models The princeton shape benchmark
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.894597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 88a0af93-b674-4991-9561-3956ccd979d5 · outbound
This paper cites 3DNet: Large-Scale Object Class Recog- nition from CAD Models.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models 3DNet: Large-Scale Object Class Recog- nition from CAD Models
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.898780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b9fe5d0-d34e-42ac-b310-cdd6a4a11540 · outbound
This paper cites The kit object models database: An object model database for object recognition, localization and manipulation in service robotics.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models The kit object models database: An object model database for object recognition, localization and manipulation in service robotics
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.904978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1918c4ab-b414-41f2-90ff-ac67673d2696 · outbound
This paper cites BigBIRD: A large-scale 3D database of object instances.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models BigBIRD: A large-scale 3D database of object instances
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.911481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e1fab1d1-b90a-40e1-ada8-ed0b7c935524 · outbound
This paper cites Benchmarking in ma- nipulation research: Using the Yale-CMU-Berkeley object and model set.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Benchmarking in ma- nipulation research: Using the Yale-CMU-Berkeley object and model set
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.915493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57ed415d-450b-4680-8821-0f4d33a01516 · outbound
This paper cites 3D ShapeNets: A deep representation for volumetric shapes.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models 3D ShapeNets: A deep representation for volumetric shapes
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.922386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b8bc9d2-21a3-4345-986b-f1e2eeced206 · outbound
This paper cites Object- Net3D: A large scale database for 3d object recog- nition.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Object- Net3D: A large scale database for 3d object recog- nition
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.928330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ad7a0c2-979f-44f5-9a38-641e23652a57 · outbound
This paper cites Egad! an evolved grasping analysis dataset for diversity and re- producibility in robotic manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Egad! an evolved grasping analysis dataset for diversity and re- producibility in robotic manipulation
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.934972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 43ff5d5a-5b5d-415d-8c75-2ec8009d34dd · outbound
This paper cites ObjectFolder: A dataset of objects with implicit vi- sual, auditory, and tactile representations.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models ObjectFolder: A dataset of objects with implicit vi- sual, auditory, and tactile representations
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.938743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 53585562-50bb-4e02-ac55-9ee85fb6edb6 · outbound
This paper cites Google scanned objects: A high-quality dataset of 3D scanned household items.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Google scanned objects: A high-quality dataset of 3D scanned household items
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.944355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d78f595e-68fc-4867-be40-1694a013e525 · outbound
This paper cites MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.468830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 963e3228-cde9-4bca-a1b2-586f181d5ad0 · outbound
This paper cites RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.480096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 649058f0-0b6a-4298-a571-da257c71e85b · outbound
This paper cites Mul- tiple interactions made easy (MIME): Large scale demonstrations data for imitation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Mul- tiple interactions made easy (MIME): Large scale demonstrations data for imitation
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.948151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 834650d8-5fc1-4150-b991-74f5c7f21fa4 · outbound
This paper cites Scaling robot supervision to hundreds of hours with RoboTurk: Robotic manipulation dataset through human reasoning and dexterity.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Scaling robot supervision to hundreds of hours with RoboTurk: Robotic manipulation dataset through human reasoning and dexterity
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.957068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 896842e8-0349-42cb-aa98-27cc9280c59d · outbound
This paper cites Bridge data: Boosting generalization of robotic skills with cross-domain datasets.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Bridge data: Boosting generalization of robotic skills with cross-domain datasets
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.970412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67a09f27-7aed-42a2-a335-4a59b5400ef5 · outbound
This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T08:51:56.162031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b1ac0bd-4945-49e5-b07c-42ef57f0d261 · outbound
This paper cites Interac- tive language: Talking to robots in real time.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Interac- tive language: Talking to robots in real time
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.976971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c4a981d-8c79-4f3d-a4f3-d0dac2d70de7 · outbound
This paper cites RH20T: A robotic dataset for learning diverse skills in one-shot.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RH20T: A robotic dataset for learning diverse skills in one-shot
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.980536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f83a5a5e-8a6e-42c6-a8de-86f059bb98e0 · outbound
This paper cites RoboAgent: Towards sample efficient robot manipulation with semantic augmenta- tions and action chunking.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models RoboAgent: Towards sample efficient robot manipulation with semantic augmenta- tions and action chunking
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.987218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a9b9773b-88b2-4b25-90d7-131d60ff178f · outbound
This paper cites Furni- turebench: Reproducible real-world benchmark for long-horizon complex manipulation.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Furni- turebench: Reproducible real-world benchmark for long-horizon complex manipulation
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.992238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b90560f4-bb00-4291-88c1-1bbb0e879a39 · outbound
This paper cites Bridgedata v2: A dataset for robot learning at scale.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Bridgedata v2: A dataset for robot learning at scale
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:24.999359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 819deca4-19cf-4d50-a050-48aba796638b · outbound
This paper cites Understanding natural language.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Understanding natural language
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.008011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2e4a7b9c-7498-42e3-a50d-c1e76c21a326 · outbound
This paper cites Availability: A heuristic for judging frequency and probability.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Availability: A heuristic for judging frequency and probability
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:24.380324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ccdbff3f-7653-4482-b07e-f34f91e876d6 · outbound
This paper cites Walk the talk: Connecting language, knowledge, and action in route instructions.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Walk the talk: Connecting language, knowledge, and action in route instructions
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.012109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6fa4df5d-3832-4a76-9943-99c1c5fa1c67 · outbound
This paper cites Toward understanding natural language directions.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Toward understanding natural language directions
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.016149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 668464c0-125c-4bea-8574-1667c02613e3 · outbound
This paper cites Learning to interpret natural language navigation instructions from observa- tions.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models Learning to interpret natural language navigation instructions from observa- tions
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T17:23:25.020922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation df1f8824-7038-47c7-af60-9fcdbb989026 · inbound
Vision-Language Foundation Models as Effective Robot Imitators cites this paper.
Vision-Language Foundation Models as Effective Robot Imitators Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:44:27.610048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a9b7694-23f1-4ba4-ba52-53b365426d89 · inbound
Any-point Trajectory Modeling for Policy Learning cites this paper.
Any-point Trajectory Modeling for Policy Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T23:32:50.969577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 38c2da6b-7c81-4afa-ac58-6e51c1673d43 · inbound
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation cites this paper.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:02:55.323436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c63a1a5-b154-45a3-a299-db3e9eef1f1c · inbound
Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.
Agent AI: Surveying the Horizons of Multimodal Interaction Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 160
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T14:25:59.523039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 410b1e20-189b-4e54-ac00-f7badf3d0996 · inbound
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations cites this paper.
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:00:04.867045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf16bbea-455e-49d1-b042-1da2404b4aaa · inbound
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T19:22:35.436751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36fd32a2-1761-4bd6-b365-4f8e9ce7cb7b · inbound
RT-H: Action Hierarchies Using Language cites this paper.
RT-H: Action Hierarchies Using Language Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T06:53:27.744157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 13af462d-d4de-422b-95f2-4a6e7a6c5680 · inbound
3D-VLA: A 3D Vision-Language-Action Generative World Model cites this paper.
3D-VLA: A 3D Vision-Language-Action Generative World Model Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T18:18:27.250764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a58eb922-c39e-4767-b787-035180bb3926 · inbound
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset cites this paper.
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0da8ba8a-1b3d-454a-ad4c-8e3c4669f502 · inbound
RoboDreamer: Learning Compositional World Models for Robot Imagination cites this paper.
RoboDreamer: Learning Compositional World Models for Robot Imagination Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T20:47:30.300105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fde464ac-ad2c-4f90-bd53-1dd05f0aeacd · inbound
Evaluating Real-World Robot Manipulation Policies in Simulation cites this paper.
Evaluating Real-World Robot Manipulation Policies in Simulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T11:06:19.537914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e36321b-1dd9-47ee-bd00-5b5fd0730da1 · inbound
Octo: An Open-Source Generalist Robot Policy cites this paper.
Octo: An Open-Source Generalist Robot Policy Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1ce2c515-9b89-4f6c-9211-7d32250f3503 · inbound
A Survey on Vision-Language-Action Models for Embodied AI cites this paper.
A Survey on Vision-Language-Action Models for Embodied AI Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 117
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T01:25:54.437489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 75e90200-4f52-45b5-a3eb-29099b7f159b · inbound
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots cites this paper.
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T23:46:30.243114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db7afa79-75cb-4bea-8ad6-55086dbebe21 · inbound
OpenVLA: An Open-Source Vision-Language-Action Model cites this paper.
OpenVLA: An Open-Source Vision-Language-Action Model Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5154cb12-06db-403b-9760-a7a14a26b185 · inbound
LongVILA: Scaling Long-Context Visual Language Models for Long Videos cites this paper.
LongVILA: Scaling Long-Context Visual Language Models for Long Videos Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T03:51:25.542171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f15715b2-c717-4afd-b8a4-bdd4ef8a5ea5 · inbound
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation cites this paper.
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T16:12:26.104367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48865a7a-ac69-4281-9795-6bd3731ce0a6 · inbound
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation cites this paper.
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T01:09:34.000529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63b413a3-a9e4-4c2a-bc3b-27d615c893fd · inbound
Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers cites this paper.
Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T19:08:21.041640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fe746920-eb9e-419c-87ff-55614ada75bb · inbound
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control cites this paper.
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6a80201-e81c-4c84-ae3a-a8b2b45b3f0a · inbound
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation cites this paper.
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:33:25.629428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d022d99-66a3-4a04-a043-426f3dedd8d8 · inbound
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:22:44.432652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fea5745f-8660-410c-931f-ac8267bae9eb · inbound
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies cites this paper.
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:27:22.873410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc30b2aa-16b7-48f4-800c-82aa1ba557b4 · inbound
What Matters in Building Vision-Language-Action Models for Generalist Robots cites this paper.
What Matters in Building Vision-Language-Action Models for Generalist Robots Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T21:37:50.763828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9f34e99-39b6-46e6-9bcc-40029f3bf901 · inbound
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces cites this paper.
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T09:27:44.182209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7efb935-7144-41c1-807e-96e4eacd5bfc · inbound
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations cites this paper.
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 116
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T18:38:11.276079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36b4bd67-6172-4190-ad77-550a7bb25457 · inbound
FAST: Efficient Action Tokenization for Vision-Language-Action Models cites this paper.
FAST: Efficient Action Tokenization for Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad5be411-7c9a-480f-a55a-4e49c5ce7b04 · inbound
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control cites this paper.
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T19:48:49.004617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d45d68a5-7316-440c-b920-d589cd6fda13 · inbound
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success cites this paper.
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 603f2c51-f64f-4359-8e27-85cbd13a4485 · inbound
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:32:22.592525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 21d507ff-c1c0-4a00-8dc4-b61a8b2524b9 · inbound
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction cites this paper.
Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot Interaction Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:27:21.433773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3a5a4a4-8f8f-445e-a69c-9f4bb42b1fab · inbound
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T22:00:48.796311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2f23468-b4ea-4b89-bc92-6e7ee45f789e · inbound
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models cites this paper.
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T05:21:44.966639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83c5c18e-87e3-4a86-8c1c-53e441bdabf0 · inbound
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets cites this paper.
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T16:25:00.476844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ecd5116-f2e7-4cb9-afdb-72ec8e93560a · inbound
$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization cites this paper.
$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T18:05:00.933566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3184f5cd-d330-4483-8cd7-5557fc987175 · inbound
GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.
GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:55:52.179309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e87e53ae-7615-44ae-9f08-d1bc8505bc44 · inbound
VLAs are Confined yet Capable of Generalizing to Novel Instructions cites this paper.
VLAs are Confined yet Capable of Generalizing to Novel Instructions Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T16:46:47.436258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b89ce4ff-6891-42f1-a179-f206162f0909 · inbound
Policy Contrastive Decoding for Robotic Foundation Models cites this paper.
Policy Contrastive Decoding for Robotic Foundation Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:11:38.462669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e7467a3-69f1-4132-922a-7909a5721cc9 · inbound
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T12:55:40.441396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d304d13-7d0d-4263-8d4d-94b795008b72 · inbound
Real-Time Execution of Action Chunking Flow Policies cites this paper.
Real-Time Execution of Action Chunking Flow Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:18:51.725335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36710000-7615-4bcf-b8d1-3e635de6c4cc · inbound
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:37:07.434840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 626503a6-e4ac-459a-89fd-9297fbbc9ab2 · inbound
DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation cites this paper.
DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:32:07.905847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1cc9a25-a83a-40fe-8193-5e9638318b7e · inbound
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge cites this paper.
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T15:42:41.419682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c57d2a4-56a3-43d4-ab12-8ebabf854f34 · inbound
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation cites this paper.
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:32:56.661729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 067a74c6-6eff-45b6-aeba-8d0c0942311f · inbound
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models cites this paper.
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:52:02.994780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ddfefefd-f704-45b7-b1ac-efa6b3bf9eb1 · inbound
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T22:06:51.776139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b7585ebf-c628-4403-ba9e-fe42f5ccad5a · inbound
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions cites this paper.
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T12:42:47.025078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b60958e-6ac0-4686-965d-0729e29de723 · inbound
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy cites this paper.
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T20:09:39.758701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2522f603-a167-4dd4-b2bc-f09a3ac923cf · inbound
Co-Evolving Latent Action World Models cites this paper.
Co-Evolving Latent Action World Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T02:52:21.790409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7333ab5f-2228-40ec-ba9e-5a31f1cbbdae · inbound
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control cites this paper.
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:31.908162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation babe7498-2522-4897-bcbd-1f2a12c56952 · inbound
RoboBenchMart: Benchmarking Robots in Retail Environment cites this paper.
RoboBenchMart: Benchmarking Robots in Retail Environment Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:29:58.560875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4d37b16-16a4-4485-b0cb-bae7bb4e0fe6 · inbound
AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models cites this paper.
AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T21:30:18.194200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd82b21b-21c9-4d48-a2d6-1013f47a268c · inbound
DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks cites this paper.
DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:14:41.399705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3df93a92-981f-48ef-891a-38faf83f7282 · inbound
SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding cites this paper.
SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:22:04.653160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b0565d0-e9fc-4259-84c2-9942f08b7435 · inbound
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning cites this paper.
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:30:51.831661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f2ad8ed-4a55-46f7-91b9-67d7a69b63fa · inbound
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs cites this paper.
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T10:41:00.278346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c489f245-5c2d-4fdf-87f5-17452c3ef2f8 · inbound
Large Video Planner Enables Generalizable Robot Control cites this paper.
Large Video Planner Enables Generalizable Robot Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:28:34.016948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac6fd3a4-7537-46c0-a09b-04436774b799 · inbound
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models cites this paper.
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:53:26.040133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fda0c486-b8e5-4047-a2a7-b78c0ed6bd0a · inbound
Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot cites this paper.
Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T18:03:12.308257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ed510ea2-e9ab-4fcd-8445-db01716fe549 · inbound
Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot cites this paper.
Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:41:51.798232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b1e3224-7b99-421a-9e4a-1dee2c255abd · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:15.835745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa87b3f8-58f7-499a-9815-68ae2b28cada · inbound
Eval-Actions: Fine-Grained Execution Quality Evaluation for Robotic Manipulation cites this paper.
Eval-Actions: Fine-Grained Execution Quality Evaluation for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:00:24.888224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10df8085-b489-4e1b-a8f7-d220c375f1d5 · inbound
Supervised Mixture-of-Experts for Surgical Grasping and Retraction cites this paper.
Supervised Mixture-of-Experts for Surgical Grasping and Retraction Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:30:48.151640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b751229-0af6-4b2a-9aa7-3a98fe9f2b02 · inbound
DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter cites this paper.
DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:18:54.655847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2b0adee-46b7-471c-97ba-b9735ff183cf · inbound
LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion cites this paper.
LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:57:44.664353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41556465-9671-464f-88dc-cc1abfe19ba5 · inbound
When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs cites this paper.
When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:14:28.623633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88ce70af-f4b6-464a-a725-448b6cf2c052 · 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 Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:20:17.679703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 825d1c32-ccb0-4e1c-ad0e-8a68b920ac9e · inbound
PhysMem: Scaling Test-Time Memory for Embodied Physical Reasoning cites this paper.
PhysMem: Scaling Test-Time Memory for Embodied Physical Reasoning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:06:33.865220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb8ee5e0-997b-46e2-8080-9e01c07fc454 · 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 Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T12:36:50.019492Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28cdc08a-8d6e-4965-b5e6-06d97e85d63a · inbound
TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans cites this paper.
TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:31:43.300046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82282d7c-906a-4d0a-9b5c-53f3ed3f37ee · inbound
OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research cites this paper.
OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T17:08:01.733116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d36ce94-e2c8-42fb-8517-0b6bd975b3e7 · inbound
Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study cites this paper.
Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 950a4bcf-ac5b-48c6-af13-165672ad3eba · inbound
Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study cites this paper.
Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7659840a-98a9-417e-9296-8584c99b532b · inbound
SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds cites this paper.
SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cae11929-7cf8-46ad-9450-94a518d94634 · inbound
Zero-shot World Models Are Developmentally Efficient Learners cites this paper.
Zero-shot World Models Are Developmentally Efficient Learners Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 112
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 156cf1d2-b61c-4a4a-91fe-c95c7b404921 · inbound
WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.
WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf53258e-71cf-4d0f-b941-59fb7ec3b93f · inbound
EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems cites this paper.
EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3a15da46-fcdf-4400-9b6b-91eb3be7bbbc · inbound
XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios cites this paper.
XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f435afc2-e989-4c87-b5e3-af4b6ab370b2 · inbound
Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents cites this paper.
Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1445dde5-c54f-4bca-8e42-a799f51bf460 · inbound
Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents cites this paper.
Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:36:59.298711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad8f95d8-fcf3-4dcd-a44e-dcd64e68e0fa · inbound
${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities cites this paper.
${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d028045b-a8f8-45dc-bd46-94333077459d · inbound
ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning cites this paper.
ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3675c2c8-2123-4777-828e-b04f2c3feb5a · inbound
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models cites this paper.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 594a2aed-73e8-4d81-ad2f-26988007504d · inbound
JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy cites this paper.
JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 15c2e66d-1841-4759-a126-41bac8604f5d · inbound
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies cites this paper.
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:16:08.884444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f02eb729-0286-42ad-8ee5-d90edb55e9b4 · inbound
QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation cites this paper.
QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a41dcd93-28e1-46c1-8670-9356343b355c · inbound
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines cites this paper.
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:36:14.189204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17ec256c-c838-4379-b0cb-6d7d03c82409 · inbound
$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.
$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:11:16.104343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f44472fc-64f5-472b-9e39-35a61e56485e · inbound
$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.
$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T18:17:43.564400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df8c48e8-7d56-4ce4-8a6a-61013480c732 · inbound
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:21:26.174978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f17ce358-8a0f-4fb0-9c13-7347178f4fa5 · inbound
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:06:24.307958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 74fe431b-9667-41c9-bcfc-430bf3c61cc8 · inbound
PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations cites this paper.
PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:51:29.280429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70b5b722-d400-44de-9241-e36592220e69 · inbound
OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction cites this paper.
OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8fa275cc-fdf6-4918-b6e6-3177ac16070f · inbound
Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation cites this paper.
Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90213f31-ed98-484e-a23b-97a8f1fbb997 · inbound
MiniVLA-Nav v1: A Multi-Scene Simulation Dataset for Language-Conditioned Robot Navigation cites this paper.
MiniVLA-Nav v1: A Multi-Scene Simulation Dataset for Language-Conditioned Robot Navigation Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f9d0ba5-7876-4746-91d2-07911369c223 · inbound
Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion cites this paper.
Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ffa45051-d34d-4e2b-ae14-a0ece561bded · inbound
An Efficient Metric for Data Quality Measurement in Imitation Learning cites this paper.
An Efficient Metric for Data Quality Measurement in Imitation Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:23:25.503833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5b783f6-dcbd-4e24-8162-f25f96fef65d · inbound
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving cites this paper.
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T18:26:08.407492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 967116cc-6ddc-4006-8614-facba3569314 · inbound
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving cites this paper.
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T01:52:05.522167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a2cf60e-74ce-4087-92fa-7b4e4cdab20d · inbound
MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware cites this paper.
MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T23:45:07.810936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.