Paper Citation Record · LEDGER

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

As of 14 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.

pith.paper-citation-record.v1
2310.08864 v9

Coverage vector

measured 100 of 135 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T17:23:24.255829Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 100 of 365 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:10:46.223569Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 135 outbound references displayed

verified exact17
verified fuzzy82
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

101
pith, observed 2026-08-05T02:28:24.338817Z

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Observation 38c2da6b-7c81-4afa-ac58-6e51c1673d43 · inbound

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation cites this paper.

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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 2026-08-14T06:32:32.682623+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

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Observation f15715b2-c717-4afd-b8a4-bdd4ef8a5ea5 · inbound

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation cites this paper.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Observation 35813a6d-6e75-457b-9630-ffacb57ebb92 · inbound

ClevrSkills: Compositional Language and Visual Reasoning in Robotics cites this paper.

ClevrSkills: Compositional Language and Visual Reasoning in Robotics Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T21:10:46.223569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1d0f32-5c9c-4a24-8828-89cbb6923da0 · inbound

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

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T21:04:21.695202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93692ce-aaff-4d3d-ba58-569b088c59bf · inbound

GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping cites this paper.

GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T17:49:30.691544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ef1f58-a750-4cf8-9fae-ae63d44765ae · inbound

I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences cites this paper.

I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T17:06:34.125878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b513ecd-4a11-46c4-bdc7-ca0a40668939 · inbound

Bimanual Dexterity for Complex Tasks cites this paper.

Bimanual Dexterity for Complex Tasks Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T16:19:11.019141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6de5f49-e7f3-4c4e-adda-303f88fefefd · inbound

Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning cites this paper.

Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T15:24:14.335219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd16aaa-96b6-4fe2-b074-f69a4abf4eda · inbound

WildLMa: Long Horizon Loco-Manipulation in the Wild cites this paper.

WildLMa: Long Horizon Loco-Manipulation in the Wild Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:32:58.339109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b77cf1-c023-4fa0-b7c9-3777329b74bc · inbound

Inference-Time Policy Steering through Human Interactions cites this paper.

Inference-Time Policy Steering through Human Interactions Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:11.166081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76ea9d6a-b5ea-472d-b70a-8612b48d9591 · inbound

ShowUI: One Vision-Language-Action Model for GUI Visual Agent cites this paper.

ShowUI: One Vision-Language-Action Model for GUI Visual Agent Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T12:10:40.457894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82092fe7-f470-44a2-8dda-b53b11823615 · inbound

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation cites this paper.

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:13.093646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0cf5428-6973-431a-86c3-f824535bb929 · inbound

GRAPE: Generalizing Robot Policy via Preference Alignment cites this paper.

GRAPE: Generalizing Robot Policy via Preference Alignment Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T10:23:15.710143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation 2b3c1139-96b0-49b9-a2e2-0cc0e13fc3ff · inbound

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control cites this paper.

Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T04:48:34.016217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation 41a92526-83c9-4872-8aa4-498af23715c5 · inbound

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning cites this paper.

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T22:38:32.234754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501492f8-d494-4b30-87e0-c2fdf9abad39 · inbound

GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities cites this paper.

GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:27.130347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab69c290-8768-4c7f-aae6-6a1caceb376a · inbound

Reinforcement Learning from Wild Animal Videos cites this paper.

Reinforcement Learning from Wild Animal Videos Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:57.562382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e526cd7e-3797-47a8-876a-c1f6ae2b9ec1 · inbound

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction cites this paper.

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:30.591289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6374f8-a8b9-4957-90f5-0e80e390d85c · inbound

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies cites this paper.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T19:22:48.589254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4b2716-d544-407e-aa64-d9cc7cc513e9 · inbound

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons cites this paper.

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T17:55:13.485077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f784938-f04f-4733-ae29-775937ec5236 · inbound

Learning Novel Skills from Language-Generated Demonstrations cites this paper.

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Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T17:09:58.275906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation 152c4e05-a8ed-4815-983d-9f22f37cce05 · inbound

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents cites this paper.

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:45.159279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f0adb87-3ced-41f3-a9cd-ff28734daedf · inbound

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience cites this paper.

Modality-Driven Design for Multi-Step Dexterous Manipulation: Insights from Neuroscience Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:13.187367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997481be-b3c8-450c-b094-7504d99584f2 · inbound

Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning cites this paper.

Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:29:18.255358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa416a8-ca4a-4ea5-89ae-0f7b0dc28901 · inbound

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning cites this paper.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:41.327698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Observation bc600f20-455e-4841-be12-92d13cec9fff · inbound

The One RING: a Robotic Indoor Navigation Generalist cites this paper.

The One RING: a Robotic Indoor Navigation Generalist Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:20:27.948017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation 98e1501b-c102-4b5e-a878-7d955b09e454 · inbound

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning cites this paper.

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T11:37:44.783166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b7d84b-6db7-4c21-ab4e-0250096fe101 · inbound

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks cites this paper.

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T05:00:46.769815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c459f902-4341-4340-87ae-03ae951491a7 · inbound

CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance cites this paper.

CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:37.435542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef559dfa-dce6-4198-a85f-d0453c20bf1a · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.604308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b9eb13-c563-4a63-956f-75232caed42c · inbound

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation cites this paper.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:41:28.993607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6731619c-349b-4041-af21-f108190bb09d · inbound

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data cites this paper.

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:54.019663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation feb82f84-14c7-4027-847a-209ace552361 · inbound

Universal Actions for Enhanced Embodied Foundation Models cites this paper.

Universal Actions for Enhanced Embodied Foundation Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T19:29:39.827298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ab681e-8d43-4fe7-bd96-22664c8acf45 · inbound

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory cites this paper.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.354452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1089a730-24f8-41a8-9dd6-b282d597149f · inbound

An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation cites this paper.

An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:43:03.306449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560d14aa-e562-4db1-b9f0-a5c9448eb1b9 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T16:30:41.735113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c7c249-caf3-450f-8837-c1be54add358 · inbound

Improving Vision-Language-Action Model with Online Reinforcement Learning cites this paper.

Improving Vision-Language-Action Model with Online Reinforcement Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T11:39:56.068654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a499ebdb-b3f9-4a46-a3de-6d38c3585e4a · inbound

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation cites this paper.

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T22:44:50.878440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f94546-5816-4fac-b698-69929c7201dd · inbound

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

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T22:13:14.919949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec21107-32c3-4b48-95b2-8bcee4355a0a · inbound

MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress cites this paper.

MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:19:45.805116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971f31dd-a4bf-4156-85b1-b86cdb77c6a3 · inbound

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control cites this paper.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.917376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe79c77-f6f1-4003-b054-3eb003ffa7a9 · inbound

Schema-Guided Scene-Graph Reasoning based on Multi-Agent Large Language Model System cites this paper.

Schema-Guided Scene-Graph Reasoning based on Multi-Agent Large Language Model System Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.680641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8729d94d-3d95-4f4d-aad4-f9c3386c1eb3 · inbound

Seeing World Dynamics in a Nutshell cites this paper.

Seeing World Dynamics in a Nutshell Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T04:42:06.409108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfdf6f05-9926-47a6-96c9-2c09ee242d80 · inbound

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression cites this paper.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.805293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f21e45-92c1-422c-bd20-ee5202dafc1f · inbound

DexterityGen: Foundation Controller for Unprecedented Dexterity cites this paper.

DexterityGen: Foundation Controller for Unprecedented Dexterity Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:31.090070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e7c1ce-68b4-4261-96a0-0431375b2fa2 · inbound

Humans Coexist, So Must Embodied Artificial Agents cites this paper.

Humans Coexist, So Must Embodied Artificial Agents Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-08T21:27:27.730695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation ce6d1edd-e04b-4e13-8971-5a415b250dd3 · inbound

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model cites this paper.

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:17.928078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed50014-dc07-4ba7-9b2c-2fb866fddf9a · inbound

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T00:03:16.466863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81721795-6080-4d05-9ca5-803d9392ad99 · inbound

Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation cites this paper.

Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T00:05:05.799879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dcf38bc-b38c-4d02-bb34-db37c81181bf · inbound

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL cites this paper.

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T19:33:22.037078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

Observation bc723216-93ef-435f-8f09-47059f797712 · inbound

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning cites this paper.

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:45.555313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbfa6bb9-d5e0-4ed3-85bf-d3fc4ac38f6b · inbound

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation cites this paper.

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:55.709120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fadc7e27-88de-4086-9c27-191a49deb0b7 · inbound

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets cites this paper.

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:12.929203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dad1db0-5b45-49d9-9e85-76110536429b · inbound

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization cites this paper.

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:58.346357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation cb0e026b-a111-4301-96a1-07fb25f138c8 · inbound

On the Dual-Use Dilemma in Physical Reasoning and Force cites this paper.

On the Dual-Use Dilemma in Physical Reasoning and Force Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:02.818167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5540d1b-c5c0-4ab7-a9aa-e0aa30e0bddf · inbound

ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning cites this paper.

ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:17.726703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5220e522-6f22-4850-8470-031540c7120f · inbound

EgoZero: Robot Learning from Smart Glasses cites this paper.

EgoZero: Robot Learning from Smart Glasses Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:57.569699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051db9d9-f10b-4ac1-a9a3-605d47487c87 · inbound

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy cites this paper.

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:41.397501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ef28c8-879a-446b-95d0-91a51eaf63c6 · inbound

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning cites this paper.

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:29.255452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c2c7512-6277-46f8-802f-7d2bc43cf8fe · inbound

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better cites this paper.

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:23.546515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab53bb3-54c2-4e56-93c8-3c9c50bd86fe · inbound

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning cites this paper.

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:34:14.648837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8fbd981-45eb-48d6-9617-ce72bf99ee65 · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:11:40.441575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e35767-92eb-4f44-ab11-df4e8ac69e8e · inbound

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments cites this paper.

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments Open X-Embodiment: Robotic Learning Datasets and RT-X Models

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