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Paper Citation Record · LEDGER

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2607.14728.

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

pith.paper-citation-record.v1
2607.14728 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:16:33.339108Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:43:56.163382Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation 1ce09610-818e-4253-876e-8c0d5425d9bb · outbound

This paper cites Exploring modern sensor in robotics: A review.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Exploring modern sensor in robotics: A review

Reference 1

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Observation 08ba9b70-d783-4bc2-ab81-a517d697020d · outbound

This paper cites More than a feeling: Learning to grasp and regrasp using vision and touch.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios More than a feeling: Learning to grasp and regrasp using vision and touch

Reference 2

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Observation d4047c81-dfd2-4143-9a87-bbeb2d94832b · outbound

This paper cites Multimodal perception for dexterous manipulation.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Multimodal perception for dexterous manipulation

Reference 3

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Observation 8bb38312-f39e-41e1-9209-bea550feda81 · outbound

This paper cites Multimodal zero-shot learning for tactile texture recognition.Robotics and Autonomous Systems, 176:104688, 2024.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Multimodal zero-shot learning for tactile texture recognition.Robotics and Autonomous Systems, 176:104688, 2024

Reference 4

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source=pdf_text observed=2026-08-02T01:16:33.277181Z digest=sha256:4f1953411cd9ffe7bbe112c779ac1c6b119945cc4f9e13c187d26575ec394ff0

Observation f0adc9e0-bf73-4be3-977a-698b0fa65dc1 · outbound

This paper cites Efficient-vqgan: Towards high-resolution image generation with efficient vision transformers.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Efficient-vqgan: Towards high-resolution image generation with efficient vision transformers

Reference 5

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Observation 3347f942-53ea-498a-a01c-8c73b3dd4853 · outbound

This paper cites Deformable convolu- tional networks.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Deformable convolu- tional networks

Reference 6

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Observation f95684fb-b535-4a2b-be1b-662390a1a576 · outbound

This paper cites Tam- ing transformers for high-resolution image synthesis.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Tam- ing transformers for high-resolution image synthesis

Reference 7

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Observation 6c4959b0-f1d3-41a8-bfd0-7f06d9b10587 · outbound

This paper cites A Touch, Vision, and Language Dataset for Multimodal Alignment.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios A Touch, Vision, and Language Dataset for Multimodal Alignment

Reference 8

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Observation 18ab23b0-fe10-4d63-afb0-c23e1793aff7 · outbound

This paper cites Generative adversarial networks.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Generative adversarial networks

Reference 9

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Observation 24972fd7-c0ff-43ec-a0ae-fd50bd6de99d · outbound

This paper cites Vector quantized diffusion model for text-to-image syn- thesis.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Vector quantized diffusion model for text-to-image syn- thesis

Reference 10

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Observation ecd1d1e8-d955-4dce-b0d4-c9957a35e4bb · outbound

This paper cites Masked autoencoders are scalable vision learners.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Masked autoencoders are scalable vision learners

Reference 11

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Observation 2ddd685d-e4c7-42f8-a59f-d619414864c8 · outbound

This paper cites Sensing and recognizing surface textures using a gelsight sensor.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Sensing and recognizing surface textures using a gelsight sensor

Reference 12

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Observation 606b8972-8ce8-4231-a669-83915fee5a66 · outbound

This paper cites Gelsight fin ray: Incorporating tactile sensing into a soft compliant robotic gripper.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Gelsight fin ray: Incorporating tactile sensing into a soft compliant robotic gripper

Reference 13

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Observation d4298e94-4837-40af-a0c4-a6766dc975ce · outbound

This paper cites M2curl: Sample-efficient multimodal reinforcement learning via self-supervised representation learning for robotic manipulation.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios M2curl: Sample-efficient multimodal reinforcement learning via self-supervised representation learning for robotic manipulation

Reference 14

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Observation 89bd0f0a-3958-4a6c-95b4-bc2caaa52646 · outbound

This paper cites TacReasoner: A Dynamic Tactile-Language Framework for Interactive Reasoning in Real-World Scenarios.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios TacReasoner: A Dynamic Tactile-Language Framework for Interactive Reasoning in Real-World Scenarios

Reference 15

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Observation 6b6a5308-4ee7-44db-a590-d7a23ce06c3f · outbound

This paper cites TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation

Reference 16

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Observation d1e1a603-c320-4161-aae5-2014b4372b64 · outbound

This paper cites Touchformer: A robust transformer-based framework for multimodal material perception.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Touchformer: A robust transformer-based framework for multimodal material perception

Reference 17

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Observation bd099b61-6780-419e-b0a8-44bc81a68a9a · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Learning transferable visual models from natural lan- guage supervision

Reference 18

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Observation 0435afd5-8469-4e6c-b81f-5030335745cf · outbound

This paper cites Tactile data generation and applications based on visuo-tactile sensors: A review.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Tactile data generation and applications based on visuo-tactile sensors: A review

Reference 19

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Observation de695416-b9f7-4202-9abb-fc20e406fd2d · outbound

This paper cites Visuotactile affordances for cloth manipulation with local control.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Visuotactile affordances for cloth manipulation with local control

Reference 20

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Observation 4a1eb73f-447a-4fab-9978-6649270e8e5a · outbound

This paper cites Tacexpert: A pseudo-temporal mixture-of-experts framework for open-set tactile object recognition.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Tacexpert: A pseudo-temporal mixture-of-experts framework for open-set tactile object recognition

Reference 21

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Observation 92e96849-c777-4c76-9f1c-123ffdcfd650 · outbound

This paper cites Touch and Go: Learning from Human-Collected Vision and Touch.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Touch and Go: Learning from Human-Collected Vision and Touch

Reference 22

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Observation e0ae825d-f8d9-4341-8c1d-31f16b399ae0 · outbound

This paper cites Binding touch to everything: Learning unified multimodal tactile representations.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Binding touch to everything: Learning unified multimodal tactile representations

Reference 23

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Observation c93611b4-67b4-4928-9992-dc9b2d27ef17 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Vector-quantized Image Modeling with Improved VQGAN

Reference 24

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Observation 7d0db92c-7b28-4564-8611-2f391cba3e59 · outbound

This paper cites Active clothing material perception using tactile sensing and deep learning.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Active clothing material perception using tactile sensing and deep learning

Reference 25

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Observation 7bcfdc50-bd81-4013-b996-45bb4001f4b6 · outbound

This paper cites Hardware technology of vision-based tactile sensor: A review.IEEE Sensors Journal, 22(22): 21410–21427, 2022.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Hardware technology of vision-based tactile sensor: A review.IEEE Sensors Journal, 22(22): 21410–21427, 2022

Reference 26

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Observation 42114991-9c22-427f-9bcc-ffae7b4f63ed · outbound

This paper cites Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks.

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks

Reference 27

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Pith citing papers

Observation dbf38a58-c837-4869-9019-f430b6dcf38f · inbound

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation cites this paper.

FELT: Generating Tactile Signals from Vision for Visuo-Tactile Manipulation VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios

Reference 58

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source=pdf_text observed=2026-08-01T09:43:56.163382Z digest=sha256:0274168b231190a0cb9dfbbffbbd0837e704438ff0a4a5cd05bab65f3ff40b7e