Paper Citation Record · LEDGER

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2501.00510.

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

pith.paper-citation-record.v1
2501.00510 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:53:06.792201Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T12:52:15.138790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:53:17.381905Z

Reference resolution

21 of 21 outbound references displayed

verified exact2
verified fuzzy11
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 666a7316-de87-41b1-bcba-d6cd65a08b5d · outbound

This paper cites https://polyhaven.com.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception https://polyhaven.com

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.254902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4acd3479-055d-43d4-85b6-d4afd9523ad3 · outbound

This paper cites Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:06.726354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d10f87b-96ce-4ea5-93a8-3babc0353160 · outbound

This paper cites In the upper row, we have an AllegroHand equipped with whole-hand tactile sensors, while in the lower row, we have a Trx-hand with sensors.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception In the upper row, we have an AllegroHand equipped with whole-hand tactile sensors, while in the lower row, we have a Trx-hand with sensors

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.177228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69100ff1-03ec-41e5-8129-205e4215c038 · outbound

This paper cites UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:06.740556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5ae062-b5ab-4263-b851-9f58a562b093 · outbound

This paper cites an unresolved cited work.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:53:07.192113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 928556ce-6dc1-44c0-b2d1-9c3b5e5fc05d · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:06.749871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e95be2-3494-44dc-a554-9d2d4b9ceb71 · outbound

This paper cites (2) (Dikhale et al., 2022; Li et al., 2023; Rezazadeh et al.,.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception (2) (Dikhale et al., 2022; Li et al., 2023; Rezazadeh et al.,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.162629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adac323f-a0ae-4eb5-aafc-8ab872d35186 · outbound

This paper cites an unresolved cited work.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:53:07.148525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be2256af-2e51-4c3e-8400-967e3cd1160f · outbound

This paper cites However, these approaches often do not address the critical aspect of stable holding in hand and readiness for manipulative actions, which are key focuses of our research.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception However, these approaches often do not address the critical aspect of stable holding in hand and readiness for manipulative actions, which are key focuses of our research

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.133016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3c566f5-8399-428a-8d18-231e994527b5 · outbound

This paper cites We present a set of photo-realistic rendered images that depict objects held in hand.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception We present a set of photo-realistic rendered images that depict objects held in hand

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.118350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31be5084-c1a9-4bdb-bc07-3f301224d834 · outbound

This paper cites The motion capture system accurately captures the poses of the object, hand, and robot base.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception The motion capture system accurately captures the poses of the object, hand, and robot base

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.103785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d21fa7be-229a-4e38-ba5a-e9b952afb8c6 · outbound

This paper cites an unresolved cited work.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:53:07.059212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ec26a06-1034-4ae4-b4e8-aceab0e66bff · outbound

This paper cites After distortion correction, we reproject the depth image into the right camera’s frame, resulting in two well-aligned vision images with resolutions of 640 x 400,.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception After distortion correction, we reproject the depth image into the right camera’s frame, resulting in two well-aligned vision images with resolutions of 640 x 400,

Reference 565

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.089123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 810b5c62-ac58-4dda-98d5-58095b25e236 · outbound

This paper cites Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation

Reference 2011

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:53:07.045312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d576de0d-1f54-4f60-856f-5ab6706f43e6 · outbound

This paper cites Learning a state estimator for tactile in-hand manipulation.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Learning a state estimator for tactile in-hand manipulation

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.225242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63c9aa5e-7acd-4e44-a150-d0f10b2ef7ac · outbound

This paper cites Smith, E., Calandra, R., Romero, A., Gkioxari, G., Meger, D., Malik, J., and Drozdzal, M.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Smith, E., Calandra, R., Romero, A., Gkioxari, G., Meger, D., Malik, J., and Drozdzal, M

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.208955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e6c5da5-4bb0-47f4-a421-f26a0cbea85c · outbound

This paper cites However, we believe that simply sticking markers on objects may not yield high-quality pose data due to the uncertainty in marker positions relative to the object frame.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception However, we believe that simply sticking markers on objects may not yield high-quality pose data due to the uncertainty in marker positions relative to the object frame

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.073368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2afa834-ffef-4175-9a8e-30ee7089598c · outbound

This paper cites Tracking object’s pose via dynamic tactile interaction.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Tracking object’s pose via dynamic tactile interaction

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:53:07.240535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf1e99c9-ea1f-4a0e-a11e-7f4f460dad33 · outbound

This paper cites PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:53:06.995626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a29da9b6-3d7b-4ecf-b7f1-33f0ffd39a62 · outbound

This paper cites Segment Anything.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Segment Anything

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:06.708310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f6faa6-7224-4f0f-a8cf-4349805614c6 · outbound

This paper cites Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:53:06.735353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation afef0867-5d2e-4ce2-a4c5-4c8db5e74efc · inbound

Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms cites this paper.

Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.383723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.