Paper Citation Record · LEDGER

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control

As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2502.03072.

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

pith.paper-citation-record.v1
2502.03072 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T06:05:09.971366Z

measured 20 of 20 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:42.055256Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:54:45.740396Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c50cc02-9673-4f12-97bb-d6f1a7d02c0a · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.913005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 d4da32fd-4a63-4315-ad42-2be69c60b89c · outbound

This paper cites Motion Prompting: Controlling Video Generation with Motion Trajectories.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.921157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f12f766-1da5-4a76-b680-86c91adeab70 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control SAM 2: Segment Anything in Images and Videos

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.943902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6438f4da-d9d8-4fd4-a4a4-5dc35918fa0b · outbound

This paper cites DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.950866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae4f82d-adac-43d2-9385-8b0ed650748f · outbound

This paper cites doi: 10.1007/s11263-019-01228-7.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control doi: 10.1007/s11263-019-01228-7

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.954649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85af463a-24a4-4071-860f-5b45bc91932c · outbound

This paper cites KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.958055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48441c4c-b169-4337-a30d-821e03fa624e · outbound

This paper cites Grasp-Anything: Large-scale Grasp Dataset from Foundation Models.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Grasp-Anything: Large-scale Grasp Dataset from Foundation Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.961539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e4e1ee-c8d6-4665-a001-d17ba0dfb875 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.964738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3355d19-2e16-448a-933b-9906b6695f84 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.968016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2900ab4b-b720-4bb3-a8c4-ab1b70c53e09 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control You Only Look Once: Unified, Real-Time Object Detection

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.947224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765693c8-b852-41d2-b2f4-ec12cc24c542 · outbound

This paper cites Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.932567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49fd9d7f-50d9-4902-befd-140f28eae823 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.924935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 115d7d53-2458-4a53-b8d6-3695271faf19 · outbound

This paper cites MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.928775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6632590-992f-4e12-8715-70238a8da6f6 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Improved Denoising Diffusion Probabilistic Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.936302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34726957-ed54-4be6-a039-dbbec6bd1ebf · outbound

This paper cites doi: 10.1109/tpami.2022.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control doi: 10.1109/tpami.2022

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.971366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cbe5e32-26af-4364-9b99-76b38313e7ef · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Imitating Human Behaviour with Diffusion Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.940064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6630315-6fd1-4608-a6b9-9bc612d4d014 · outbound

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

RoboGrasp: A Universal Grasping Policy for Robust Robotic Control $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T06:05:09.908995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eeada75f-c843-483d-896e-7ea802d85327 · inbound

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

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy RoboGrasp: A Universal Grasping Policy for Robust Robotic Control

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:42.055256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73729cf-4274-4a9e-b9f6-0960d70764f3 · inbound

Grasp-Oriented Non-Prehensile Manipulation via Learning a Graspability Field cites this paper.

Grasp-Oriented Non-Prehensile Manipulation via Learning a Graspability Field RoboGrasp: A Universal Grasping Policy for Robust Robotic Control

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:54:45.741657Z

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.