Paper Citation Record · LEDGER

Tactile MNIST: Benchmarking Active Tactile Perception

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 6 inbound Pith citation observations for arXiv:2506.06361.

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

pith.paper-citation-record.v1
2506.06361 v2

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:35.145236Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:33:38.082456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:10:07.269787Z

Reference resolution

78 of 78 outbound references displayed

verified exact0
verified fuzzy50
unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba1be2ff-3b24-4c1f-a384-a3235a17c8f1 · outbound

This paper cites The mnist database of handwritten digits.http://yann.

Tactile MNIST: Benchmarking Active Tactile Perception The mnist database of handwritten digits.http://yann

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:28.953626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87a145b9-7401-4dc8-aaca-c4bbf21aa61b · outbound

This paper cites Learning multiple layers of features from tiny images.

Tactile MNIST: Benchmarking Active Tactile Perception Learning multiple layers of features from tiny images

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:29.002282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd8602d-165a-443a-8f0e-e16f49b92145 · outbound

This paper cites Tiny imagenet visual recognition challenge.CS 231N, 7(7):3, 2015.

Tactile MNIST: Benchmarking Active Tactile Perception Tiny imagenet visual recognition challenge.CS 231N, 7(7):3, 2015

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:29.054737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b53229-4fdd-48de-aceb-c0a66bfa9766 · outbound

This paper cites Coding and use of tactile signals from the fingertips in object manipulation tasks.Nature Reviews Neuroscience, 10(5):345–359, 2009.

Tactile MNIST: Benchmarking Active Tactile Perception Coding and use of tactile signals from the fingertips in object manipulation tasks.Nature Reviews Neuroscience, 10(5):345–359, 2009

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:45.416477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 606df844-d3d9-4f32-b6ad-7377f0a797b4 · outbound

This paper cites Hand movements: A window into haptic object recognition.Cognitive psychology, 19(3):342–368, 1987.

Tactile MNIST: Benchmarking Active Tactile Perception Hand movements: A window into haptic object recognition.Cognitive psychology, 19(3):342–368, 1987

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:45.181031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fd3e202-e5b4-4c46-8ff1-729c0546d692 · outbound

This paper cites Prescott, Mathew E.

Tactile MNIST: Benchmarking Active Tactile Perception Prescott, Mathew E

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.985210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4128bce3-919f-41d0-bf64-323f94185549 · outbound

This paper cites Boehm, T.

Tactile MNIST: Benchmarking Active Tactile Perception Boehm, T

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.808151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c27261c5-acbc-4594-b69f-ae4e058cf9dd · outbound

This paper cites Learning efficient haptic shape exploration with a rigid tactile sensor array.PloS one, 15(1):e0226880, 2020.

Tactile MNIST: Benchmarking Active Tactile Perception Learning efficient haptic shape exploration with a rigid tactile sensor array.PloS one, 15(1):e0226880, 2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.622334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3c72525-1ac2-408c-9d14-27d18c4ececb · outbound

This paper cites Tandem: Learning joint exploration and decision making with tactile sensors.IEEE Robotics and Automation Letters, 7(4):10391–10398, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Tandem: Learning joint exploration and decision making with tactile sensors.IEEE Robotics and Automation Letters, 7(4):10391–10398, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.457848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39cea222-a8df-4027-a586-04f042e806d2 · outbound

This paper cites Active tactile object exploration with gaussian processes.

Tactile MNIST: Benchmarking Active Tactile Perception Active tactile object exploration with gaussian processes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.305518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5582b3e1-af0e-40e5-ba8e-a5c07b5d22d5 · outbound

This paper cites Enhancing visual perception of shape through tactile glances.

Tactile MNIST: Benchmarking Active Tactile Perception Enhancing visual perception of shape through tactile glances

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:44.083930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cae13205-2945-4429-97c1-c54b191f0f67 · outbound

This paper cites Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation.IEEE Trans.

Tactile MNIST: Benchmarking Active Tactile Perception Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation.IEEE Trans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:43.900861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2609da5b-2dcb-4b28-a8b8-6ad6c880c810 · outbound

This paper cites Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features.

Tactile MNIST: Benchmarking Active Tactile Perception Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:29.703479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9f48e0-0107-46c3-9743-9dfdb3830c24 · outbound

This paper cites Sparsh: Self-supervised touch representations for vision-based tactile sensing.

Tactile MNIST: Benchmarking Active Tactile Perception Sparsh: Self-supervised touch representations for vision-based tactile sensing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:43.752193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1292f540-2b55-4daa-ad53-d88d9fe92f0c · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:29.816880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59095c37-e6ea-4709-b258-1b1189e842de · outbound

This paper cites Microsoft coco: Common objects in context.

Tactile MNIST: Benchmarking Active Tactile Perception Microsoft coco: Common objects in context

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:29.899890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d53732f-b5e2-437c-85be-6413b08886e4 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Tactile MNIST: Benchmarking Active Tactile Perception Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:43.569502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38e3d311-c2dc-4f49-87d4-d52ed8a5e5ae · outbound

This paper cites Omni3d: A large benchmark and model for 3d object detection in the wild.

Tactile MNIST: Benchmarking Active Tactile Perception Omni3d: A large benchmark and model for 3d object detection in the wild

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:43.390421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfa85e7f-8ad1-4c62-b75f-06f12277ea4a · outbound

This paper cites Neuralfeels with neural fields: Visuotactile perception for in-hand manipulation.Science Robotics, 9(96):eadl0628, 2024.

Tactile MNIST: Benchmarking Active Tactile Perception Neuralfeels with neural fields: Visuotactile perception for in-hand manipulation.Science Robotics, 9(96):eadl0628, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:30.105765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0443090a-fd79-4f7e-ab2c-29ca79fad763 · outbound

This paper cites Actexplore: Active tactile exploration on unknown objects.

Tactile MNIST: Benchmarking Active Tactile Perception Actexplore: Active tactile exploration on unknown objects

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:43.223589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95ce3b5c-d7d8-4a83-8696-fd9098e0046b · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Tactile MNIST: Benchmarking Active Tactile Perception Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:30.209484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0178e98d-f422-4e56-9a13-a96da6afff87 · outbound

This paper cites Gelsight: High-resolution robot tactile sensors for estimating geometry and force.Sensors, 17(12):2762, 2017.

Tactile MNIST: Benchmarking Active Tactile Perception Gelsight: High-resolution robot tactile sensors for estimating geometry and force.Sensors, 17(12):2762, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:30.257265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d07926b-d7a3-4156-b3a3-800f57bd925a · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:43.079600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3af86ba1-f24b-4ca0-abd1-3946b9a0e765 · outbound

This paper cites Aiding grasp synthesis for novel objects using heuristic-based and data-driven active vision methods.Frontiers in Robotics and AI, 8:696587, 2021.

Tactile MNIST: Benchmarking Active Tactile Perception Aiding grasp synthesis for novel objects using heuristic-based and data-driven active vision methods.Frontiers in Robotics and AI, 8:696587, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:42.904446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d137970a-2482-434a-bacf-7b2f2bba6505 · outbound

This paper cites A real 3d embodied dataset for robotic active visual learning.IEEE Robotics and Automation Letters, 7(3):6646–6652, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception A real 3d embodied dataset for robotic active visual learning.IEEE Robotics and Automation Letters, 7(3):6646–6652, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:42.749440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42e5e3ab-7db7-4fde-9f1a-92cd87bcc980 · outbound

This paper cites The Robotic Vision Scene Understanding Challenge.

Tactile MNIST: Benchmarking Active Tactile Perception The Robotic Vision Scene Understanding Challenge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:30.553210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dba0bc-f7c9-42ba-af1c-e4fc7fe04e02 · outbound

This paper cites Next best view planning in a single glance: An approach to improve object recognition.SN Computer Science, 4(1):51, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Next best view planning in a single glance: An approach to improve object recognition.SN Computer Science, 4(1):51, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:42.620043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd279a14-141b-44c6-b41e-5478bc488bee · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:42.485581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f16dc5f-47ef-4874-ad9a-6613b1c6ce93 · outbound

This paper cites Active vision dataset benchmark.

Tactile MNIST: Benchmarking Active Tactile Perception Active vision dataset benchmark

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:42.323753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4ea7043-f9d8-4736-bc42-15beb60932cc · outbound

This paper cites Active object search.

Tactile MNIST: Benchmarking Active Tactile Perception Active object search

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:42.115141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82ae700c-0d23-4ae0-8919-671ca37237c8 · outbound

This paper cites Actiview: Evaluating active perception ability for multimodal large language models, 2024.

Tactile MNIST: Benchmarking Active Tactile Perception Actiview: Evaluating active perception ability for multimodal large language models, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:41.910082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b000ec36-6b88-4be1-b83b-53319a77a8f7 · outbound

This paper cites The tip benchmark: A tactile image-based psychophysics-inspired benchmark for artificial tactile sensors.

Tactile MNIST: Benchmarking Active Tactile Perception The tip benchmark: A tactile image-based psychophysics-inspired benchmark for artificial tactile sensors

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:41.732319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44db52e3-d3af-4a15-af91-5803d8d07389 · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:41.609986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc9a0b46-3346-4fa1-8e60-7d32b540412c · outbound

This paper cites Midas- Touch: Monte-Carlo inference over distributions across sliding touch.

Tactile MNIST: Benchmarking Active Tactile Perception Midas- Touch: Monte-Carlo inference over distributions across sliding touch

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:41.310697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87b64f1d-2e47-4c2f-ae60-defcbbc2bcbf · outbound

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

Tactile MNIST: Benchmarking Active Tactile Perception Active clothing material perception using tactile sensing and deep learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:40.958778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d29e6a56-dea7-4c2f-9db1-3ca39dd15798 · outbound

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

Tactile MNIST: Benchmarking Active Tactile Perception Touch and Go: Learning from Human-Collected Vision and Touch

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:31.502330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12c4fe0-39df-44b9-9467-7d0923fc4967 · outbound

This paper cites Vitac: Feature sharing between vision and tactile sensing for cloth texture recognition.

Tactile MNIST: Benchmarking Active Tactile Perception Vitac: Feature sharing between vision and tactile sensing for cloth texture recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:40.666058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eda75ade-1441-45fe-99b9-98df0443d1db · outbound

This paper cites Connecting look and feel: Associating the visual and tactile properties of physical materials.

Tactile MNIST: Benchmarking Active Tactile Perception Connecting look and feel: Associating the visual and tactile properties of physical materials

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:40.330257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32a234c0-2a07-4437-b1d5-18e9886b0a79 · outbound

This paper cites Connecting touch and vision via cross-modal prediction.

Tactile MNIST: Benchmarking Active Tactile Perception Connecting touch and vision via cross-modal prediction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:40.042400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8d0dae3-6edf-4a85-af24-3e782dadae93 · outbound

This paper cites Octopi: Object Property Reasoning with Large Tactile-Language Models.

Tactile MNIST: Benchmarking Active Tactile Perception Octopi: Object Property Reasoning with Large Tactile-Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:31.846321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f22ebe4-ecc7-4fe6-9693-bf0d04947b89 · outbound

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

Tactile MNIST: Benchmarking Active Tactile Perception A Touch, Vision, and Language Dataset for Multimodal Alignment

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:31.917970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3ef20d-8bd9-46dc-954c-a15a68cfa0af · outbound

This paper cites Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation.

Tactile MNIST: Benchmarking Active Tactile Perception Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:31.983941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5826cc3-86f4-42bc-bb18-671d1999f1ed · outbound

This paper cites The objectfolder benchmark: Multisensory learning with neural and real objects.

Tactile MNIST: Benchmarking Active Tactile Perception The objectfolder benchmark: Multisensory learning with neural and real objects

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:39.860504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 428a49d6-3cf6-4897-973c-b8c7fd96c452 · outbound

This paper cites Objectfolder 2.0: A multisensory object dataset for sim2real transfer.

Tactile MNIST: Benchmarking Active Tactile Perception Objectfolder 2.0: A multisensory object dataset for sim2real transfer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:39.695575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4946a083-b6d3-450a-b0a8-eb79f8c5b549 · outbound

This paper cites ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations.

Tactile MNIST: Benchmarking Active Tactile Perception ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:32.268073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a497d9-ba4c-450f-ab6a-fccbd5d3ad66 · outbound

This paper cites Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation.IEEE Robotics and Automation Letters, 5(3):3838–3845, 2020.

Tactile MNIST: Benchmarking Active Tactile Perception Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation.IEEE Robotics and Automation Letters, 5(3):3838–3845, 2020

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:39.456840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c4df75f-70a9-4060-8338-adaa19d2645b · outbound

This paper cites Rotating without Seeing: Towards In-hand Dexterity through Touch.

Tactile MNIST: Benchmarking Active Tactile Perception Rotating without Seeing: Towards In-hand Dexterity through Touch

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:32.337070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66dd70d0-4482-4d0b-80f0-5df11cf2bec8 · outbound

This paper cites General in-hand object rotation with vision and touch.

Tactile MNIST: Benchmarking Active Tactile Perception General in-hand object rotation with vision and touch

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:39.233601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faa92a92-6e45-4643-ab6e-4adf2300d435 · outbound

This paper cites Active touch and robot perception.Cognition and Brain Theory, 7(2):199–214, 1984.

Tactile MNIST: Benchmarking Active Tactile Perception Active touch and robot perception.Cognition and Brain Theory, 7(2):199–214, 1984

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:39.054123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf2fba59-fd7f-4d8d-a817-9a0da29992b9 · outbound

This paper cites Revisiting active perception.Au- tonomous Robots, 42:177–196, 2018.

Tactile MNIST: Benchmarking Active Tactile Perception Revisiting active perception.Au- tonomous Robots, 42:177–196, 2018

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.843435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe47766f-c30f-4878-b4d4-d15c9912abf2 · outbound

This paper cites Simultaneous tactile exploration and grasp refinement for unknown objects.IEEE Robotics and Automation Letters, 6(2):3349–3356, 2021.

Tactile MNIST: Benchmarking Active Tactile Perception Simultaneous tactile exploration and grasp refinement for unknown objects.IEEE Robotics and Automation Letters, 6(2):3349–3356, 2021

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.685251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e154acb1-702e-41b2-b7d1-56e4a28a4f48 · outbound

This paper cites Active perception for tactile sensing: A task-agnostic attention-based approach, 2025.

Tactile MNIST: Benchmarking Active Tactile Perception Active perception for tactile sensing: A task-agnostic attention-based approach, 2025

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.557526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5cb5f7f-bae7-4dd3-92d7-13b81d0f8a96 · outbound

This paper cites Objectfolder 2.0: A multisensory object dataset for sim2real transfer.

Tactile MNIST: Benchmarking Active Tactile Perception Objectfolder 2.0: A multisensory object dataset for sim2real transfer

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.427959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d6fd564-e071-4531-862d-3877c077b39c · outbound

This paper cites Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors.IEEE Robotics and Automation Letters, 7(2):3930–3937, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors.IEEE Robotics and Automation Letters, 7(2):3930–3937, 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.307555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f991b4b-d7e7-4ad5-a20e-d18f9b3c0711 · outbound

This paper cites Taxim: An example-based simulation model for gelsight tactile sensors.IEEE Robotics and Automation Letters, 7(2):2361–2368, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Taxim: An example-based simulation model for gelsight tactile sensors.IEEE Robotics and Automation Letters, 7(2):2361–2368, 2022

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:32.900245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17cd4b7-d6fa-4970-a87e-20102d4c6234 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Tactile MNIST: Benchmarking Active Tactile Perception JAX: composable transformations of Python+NumPy programs, 2018

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:32.967008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc581f8-aba6-42f9-9ad1-d2ad85819764 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Tactile MNIST: Benchmarking Active Tactile Perception Pytorch: An imperative style, high-performance deep learning library

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:33.039329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfdd8bc-7ba1-49b3-a126-d5334a0c094a · outbound

This paper cites Bidirectional sim-to-real transfer for gelsight tactile sensors with cyclegan.IEEE Robotics and Automation Letters, 7(3):6187–6194, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Bidirectional sim-to-real transfer for gelsight tactile sensors with cyclegan.IEEE Robotics and Automation Letters, 7(3):6187–6194, 2022

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.158447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e9c31c3-6c93-40c8-b037-5283ea0e1df1 · outbound

This paper cites Rosenthal.

Tactile MNIST: Benchmarking Active Tactile Perception Rosenthal

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:38.049013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e3bd6c4-a8a3-4487-a74b-8def81b88216 · outbound

This paper cites Homepage, January 2025.

Tactile MNIST: Benchmarking Active Tactile Perception Homepage, January 2025

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.904830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ef4a9f5-5e2d-43ad-9ca8-34d9923dc354 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Tactile MNIST: Benchmarking Active Tactile Perception Soft Actor-Critic Algorithms and Applications

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:33.400347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117da26a-037c-44ad-b26e-7ba98a2bfc67 · outbound

This paper cites CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

Tactile MNIST: Benchmarking Active Tactile Perception CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:33.483925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421e6b61-2c6b-496e-a752-191ed02942e5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Tactile MNIST: Benchmarking Active Tactile Perception Proximal Policy Optimization Algorithms

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:33.621363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a73be0-1b51-44ed-965f-29cb1ea3b70a · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:37.765618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16e58401-a9f9-4a29-9ed6-0a3d5d899679 · outbound

This paper cites Flax: A neural network library and ecosystem for JAX, 2024.

Tactile MNIST: Benchmarking Active Tactile Perception Flax: A neural network library and ecosystem for JAX, 2024

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.535861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e492a25-16e9-44c2-bffb-691e70e29ef6 · outbound

This paper cites seq" data point contains fine-grained temporal and spatial information about the tactile interaction, useful for modeling contact dynamics or time-series prediction. The.

Tactile MNIST: Benchmarking Active Tactile Perception seq" data point contains fine-grained temporal and spatial information about the tactile interaction, useful for modeling contact dynamics or time-series prediction. The

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.399972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7865c644-ffb1-4442-a4c4-d5af60ffd55e · outbound

This paper cites InitializationThe glimpse starts at a uniformly random position within the image.

Tactile MNIST: Benchmarking Active Tactile Perception InitializationThe glimpse starts at a uniformly random position within the image

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.242315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf7787ad-a5c3-48b8-8074-270dfa0ac8af · outbound

This paper cites At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization).

Tactile MNIST: Benchmarking Active Tactile Perception At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.110209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5566b907-d9fe-4938-afbf-f21fd0f55e7a · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:36.968543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6daa312b-bb26-4243-becc-debb04e381f9 · outbound

This paper cites Initialization The agent begins at a uniformly random, valid location within the environment.

Tactile MNIST: Benchmarking Active Tactile Perception Initialization The agent begins at a uniformly random, valid location within the environment

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:36.817669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6309940e-06ca-4b7b-b25a-8deccb1ae515 · outbound

This paper cites InitializationThe agent starts at a uniformly random position within the image.

Tactile MNIST: Benchmarking Active Tactile Perception InitializationThe agent starts at a uniformly random position within the image

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:36.643724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5bcdf9b-8d76-4179-8552-39bb49dd9565 · outbound

This paper cites InitializationThe tactile sensor starts at a randomly sampled pose in the workspace.

Tactile MNIST: Benchmarking Active Tactile Perception InitializationThe tactile sensor starts at a randomly sampled pose in the workspace

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:36.456022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6f86c40-381e-47c7-a33d-52b4c2214bcb · outbound

This paper cites At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization).

Tactile MNIST: Benchmarking Active Tactile Perception At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:36.255715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0def4eba-a217-4696-befc-4b5c457f09bd · outbound

This paper cites Initialization The glimpse starts at a uniformly random position within the workspace.

Tactile MNIST: Benchmarking Active Tactile Perception Initialization The glimpse starts at a uniformly random position within the workspace

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:36.091739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 033db678-988f-448a-8909-472ee91a685c · outbound

This paper cites Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation.Journal of Artificial Intelligence Research, 74:1269–1349, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation.Journal of Artificial Intelligence Research, 74:1269–1349, 2022

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:37.644919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 303db7ad-f94f-42d4-ae48-4ff8681d7249 · outbound

This paper cites an unresolved cited work.

Tactile MNIST: Benchmarking Active Tactile Perception Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:16:35.938427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c60259bf-1642-410f-8b20-dcdb2fad8884 · outbound

This paper cites Tactile gym 2.0: Sim-to-real deep reinforcement learning for comparing low-cost high-resolution robot touch.IEEE Robotics and Automation Letters, 7(4):10754–10761, 2022.

Tactile MNIST: Benchmarking Active Tactile Perception Tactile gym 2.0: Sim-to-real deep reinforcement learning for comparing low-cost high-resolution robot touch.IEEE Robotics and Automation Letters, 7(4):10754–10761, 2022

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:35.712865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1801523-51df-4feb-87dd-f2bffc9f28be · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Tactile MNIST: Benchmarking Active Tactile Perception Image-to-image translation with conditional adversarial networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:16:35.532721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation d83e9ba4-156c-4725-a5a9-8d4414beb995 · inbound

Apple: Toward General Active Perception via Reinforcement Learning cites this paper.

Apple: Toward General Active Perception via Reinforcement Learning Tactile MNIST: Benchmarking Active Tactile Perception

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:34:57.540885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5756a3e-7e6f-44e1-8eb0-c8d8c4e81964 · inbound

Characterizing the Resilience and Sensitivity of Polyurethane Vision-Based Tactile Sensors cites this paper.

Characterizing the Resilience and Sensitivity of Polyurethane Vision-Based Tactile Sensors Tactile MNIST: Benchmarking Active Tactile Perception

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:25:33.064937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 211f4ac4-04ef-40f3-a817-5fd5061c1f14 · inbound

CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly cites this paper.

CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly Tactile MNIST: Benchmarking Active Tactile Perception

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T18:33:38.082456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7db9b3-1ca1-404b-a609-803b4d710228 · inbound

TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning cites this paper.

TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning Tactile MNIST: Benchmarking Active Tactile Perception

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:53.102079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 410346f2-242a-452c-99e3-9cf67b13cb9b · inbound

TacO: Benchmarking Tactile Sensors for Object Manipulation cites this paper.

TacO: Benchmarking Tactile Sensors for Object Manipulation Tactile MNIST: Benchmarking Active Tactile Perception

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:09.336849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72eff6c0-7a49-4d00-82a4-7a2c4bb16ffe · inbound

TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception cites this paper.

TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception Tactile MNIST: Benchmarking Active Tactile Perception

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:10:07.272029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.