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Paper Citation Record · LEDGER

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision

As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.24485.

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

pith.paper-citation-record.v1
2607.24485 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T13:36:04.561551Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e5a2f82-4ab2-48d9-a96f-c068139f37fe · outbound

This paper cites Robotics: Science and Systems XIX , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Robotics: Science and Systems XIX , year=

Reference 1

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source=arxiv_source observed=2026-07-31T13:36:02.782724Z digest=sha256:c5aa3afc5750357861f3a8c97a15b0105746dfe8e89e68359246189ffc09e995

Observation 9c486f9d-a2ca-4531-96df-035c88ae4586 · outbound

This paper cites Robotics: Science and Systems XIX , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Robotics: Science and Systems XIX , year=

Reference 2

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source=arxiv_source observed=2026-07-31T13:36:02.843280Z digest=sha256:dfce87e51d0f663aaddbfdfdd3b04511c1d8f66c5bdae87372c03b96291cf322

Observation 37d3a780-1e1d-43b0-ae4a-381777763640 · outbound

This paper cites ICRA 2025 Workshop: Beyond Pick and Place , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision ICRA 2025 Workshop: Beyond Pick and Place , year=

Reference 3

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source=arxiv_source observed=2026-07-31T13:36:02.897215Z digest=sha256:a74cedef660245e93af5b7064981eebfa12a7c495300037da92a93b9ba4ac8e3

Observation a7a8e017-69c4-4b88-b80e-784740e1f76b · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , year =.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Proceedings of the European Conference on Computer Vision (ECCV) , year =

Reference 4

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source=arxiv_source observed=2026-07-31T13:36:02.956477Z digest=sha256:9f2e2303b78cb9ef825d704c47137e0dc59107015ab45e978b1a3bbed2c4a11f

Observation 8208e8ef-6e6c-4903-bb4c-b24db89c8ae3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Advances in Neural Information Processing Systems , volume=

Reference 5

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source=arxiv_source observed=2026-07-31T13:36:03.008407Z digest=sha256:b0bf84ecb1599384e5adf0f22774bfe3acc9d91be80bdd083fe95caf38ed8e83

Observation c757fb3d-52d0-42f0-86d1-34b01dc13dfe · outbound

This paper cites Biomimetic Intelligence and Robotics , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Biomimetic Intelligence and Robotics , pages=

Reference 6

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source=arxiv_source observed=2026-07-31T13:36:03.037375Z digest=sha256:57caead3ab885172bb48ef12ee4729560f4ed823c61f6c500220bd8c34ffbe31

Observation ddc29a7e-3d0a-4485-ba44-61a169e3a9ca · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 7

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source=arxiv_source observed=2026-07-31T13:36:03.073699Z digest=sha256:58f1deafbea6bffde9789d311989f9dc1695cb3620e2c49d5c635be817ef741b

Observation b55e0335-1d8f-4b7a-a57d-6a9d85a0ebe8 · outbound

This paper cites Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation

Reference 8

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source=arxiv_source observed=2026-07-31T13:36:03.131191Z digest=sha256:a8df2f0448707c3b706414944139af2b2467447e89f466f8c6d859f9f40bd268

Observation 9990b1ed-3d19-44e2-bf69-785ba28da3fe · outbound

This paper cites arXiv preprint arXiv:2603.23481 , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision arXiv preprint arXiv:2603.23481 , year=

Reference 9

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source=arxiv_source observed=2026-07-31T13:36:03.173446Z digest=sha256:aa0d158a67ddeef329475d8a7e5a124c4a583d97e8fda9b3af5bc34ef9ee5ce3

Observation 51d5c2f8-cf0b-4c73-ad55-b0e7bcb20779 · outbound

This paper cites Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation

Reference 10

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source=arxiv_source observed=2026-07-31T13:36:03.229385Z digest=sha256:dd068162d727bd476f9f38aebdcf48caf8a72d0827d7662d7b8ea05e361f01b4

Observation 5e2809bf-1a37-445c-98f8-fafef2c4ab78 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 11

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source=arxiv_source observed=2026-07-31T13:36:03.279945Z digest=sha256:5a175bcaf2d40d88aa23b72fac3782eb6379b205a749a0f8519f99fe36ea32a9

Observation 44ded5ce-f779-44c5-954e-cac783455766 · outbound

This paper cites ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching

Reference 12

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source=arxiv_source observed=2026-07-31T13:36:03.288689Z digest=sha256:3db1e6c606a564a9ec5dd3fae66c718131f3bf3aa78b83d2e3208fa4713e0b1d

Observation 06cb9d94-d9db-42cc-8738-ef09c5a47d26 · outbound

This paper cites IEEE Robotics and Automation Letters , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision IEEE Robotics and Automation Letters , year=

Reference 13

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source=arxiv_source observed=2026-07-31T13:36:03.345061Z digest=sha256:b4de63f831be9b1edc076a8df4efa92fee621c478236f4fc3111c8db311bf6e7

Observation 78431fbc-1a76-44bb-af7f-c2be8a98d209 · outbound

This paper cites Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization

Reference 14

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source=arxiv_source observed=2026-07-31T13:36:03.404286Z digest=sha256:4d6a6a367699ef71dee1cc99217a056cf53f68445875d810a2a277821c42fb47

Observation 63f6a70f-ff16-4eab-b3ad-9ab658440d81 · outbound

This paper cites IEEE Robotics and Automation Letters , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision IEEE Robotics and Automation Letters , year=

Reference 15

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source=arxiv_source observed=2026-07-31T13:36:03.451716Z digest=sha256:4d91be04c68dc8a913317120fd338577153292454f28e2eec95f98ac0deef3b2

Observation 59b25292-418c-470b-bd90-7f3ef244aca7 · outbound

This paper cites arXiv preprint arXiv:2601.20321 , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision arXiv preprint arXiv:2601.20321 , year=

Reference 16

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source=arxiv_source observed=2026-07-31T13:36:03.490628Z digest=sha256:b1c64c5880e57618e3da9cf6083c7e079fcaaf1fb844bd0bd15d030ec8c81771

Observation a5d8421c-6bbc-4e15-a564-6524d24161ed · outbound

This paper cites TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance

Reference 17

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source=arxiv_source observed=2026-07-31T13:36:03.528272Z digest=sha256:41dd3f6b526c3e0506cbc0a1f6cf320a86e4de7100f79a62db0876ef12268106

Observation 2745500b-ffb3-4e63-9918-e0bfcab565ea · outbound

This paper cites TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training

Reference 18

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source=arxiv_source observed=2026-07-31T13:36:03.588516Z digest=sha256:54033e5a56c01f7a191c20380ac44ef8af9c975485cfc99e50ac0b75c2ff4111

Observation 07775cca-bcd9-44d0-8d82-b2c1f6fe1742 · outbound

This paper cites FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation

Reference 19

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source=arxiv_source observed=2026-07-31T13:36:03.642363Z digest=sha256:bfef2d2254c6a994b7ecf8d14b08a0e6fcab2f251f199a71b02b59508031d06e

Observation b94fde0f-33b5-4d5d-8559-f52f8b0378bb · outbound

This paper cites T-Rex: Tactile-Reactive Dexterous Manipulation.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision T-Rex: Tactile-Reactive Dexterous Manipulation

Reference 20

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source=arxiv_source observed=2026-07-31T13:36:03.685733Z digest=sha256:14365f51e4b1e675e9ce06f742e1edeaa1dcdfe971093087555bb35755c888e5

Observation b5924aac-0b95-4d5a-85d6-222593745b0c · outbound

This paper cites arXiv preprint arXiv:2509.26642 , year=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision arXiv preprint arXiv:2509.26642 , year=

Reference 21

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source=arxiv_source observed=2026-07-31T13:36:03.743135Z digest=sha256:4f42ec9864c67d88384310220109fdcbfc3b8ea62267a3a186b60b247c7d5fb0

Observation 68cb59d0-1464-4c32-b6c5-cb8f6b347d45 · outbound

This paper cites Conference on Robot Learning , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Conference on Robot Learning , pages=

Reference 22

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source=arxiv_source observed=2026-07-31T13:36:03.799724Z digest=sha256:5c0cbca1b0464af2c2a80da9afb04c0a8c9846e196d47dfbd887a977d9647b01

Observation 7ebef8de-02e5-4736-8373-a6188e1a6199 · outbound

This paper cites Advances in neural information processing systems , volume=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Advances in neural information processing systems , volume=

Reference 23

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source=arxiv_source observed=2026-07-31T13:36:03.845046Z digest=sha256:10784046148874de861c22373fd6d489a34ecf3197d2559aca955968d2b5d9a6

Observation 0775656c-87d3-4a35-8dae-5668a4b99577 · outbound

This paper cites European conference on computer vision , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision European conference on computer vision , pages=

Reference 24

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source=arxiv_source observed=2026-07-31T13:36:03.918874Z digest=sha256:2be80d5412c831e6f706b9ed3c127a590446e74e086d6288786b708922db6f0d

Observation ab56f5d7-203b-43db-8e99-ded114802401 · outbound

This paper cites Advances in neural information processing systems , volume=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Advances in neural information processing systems , volume=

Reference 25

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source=arxiv_source observed=2026-07-31T13:36:03.965003Z digest=sha256:856f4fd6f2b68919494576f3f17a3d1a3435d9a30c3baddab68637baf96c58b1

Observation 7be85646-35e2-4786-8a77-9c3c5a2388d2 · outbound

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

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Touch and Go: Learning from Human-Collected Vision and Touch

Reference 26

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source=arxiv_source observed=2026-07-31T13:36:03.989634Z digest=sha256:e5f6db7e05b0dc171076cb7b64d740bd3d5c07c7e572053f8f4c050a19896802

Observation 195e03a9-e069-4960-945b-210e4efba090 · outbound

This paper cites European conference on computer vision , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision European conference on computer vision , pages=

Reference 27

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no resolver link, observed 2026-07-31T13:36:04.035763Z

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source=arxiv_source observed=2026-07-31T13:36:04.035763Z digest=sha256:0dc9129e6198ddb3a1910b1047e1c3817f1e078e4a5ec046b5e1fd0fabd416a3

Observation 28119619-0b4b-4581-901b-b61c11f2e116 · outbound

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

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features

Reference 28

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source=arxiv_source observed=2026-07-31T13:36:04.083852Z digest=sha256:4f07f5e79c4d58e60156c81adc95de6f4edfbbb9f89826c956c4495c741ce5f1

Observation 7ccc8fc2-52cc-4dc4-a4f6-258c724df17b · outbound

This paper cites 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 29

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source=arxiv_source observed=2026-07-31T13:36:04.141940Z digest=sha256:912d63aee100ab8a0e139de3d8c5529f38a730907ae3ada7fca806344e1b68c4

Observation a3c272f2-0829-447f-8bd5-601ad9940b2d · outbound

This paper cites 2025 , booktitle=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision 2025 , booktitle=

Reference 30

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source=arxiv_source observed=2026-07-31T13:36:04.188012Z digest=sha256:713d69e6a327f17dae4eb684f098ee8fd0acdf91446e03a429f113b2c5911656

Observation 6eeb5b52-565e-4d17-bb33-aa158b279275 · outbound

This paper cites 2026 , booktitle=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision 2026 , booktitle=

Reference 31

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source=arxiv_source observed=2026-07-31T13:36:04.222163Z digest=sha256:a89b73bb02fb23066fb3615bbcfc212f02049af72b041f7ce07b08b9a8d1e163

Observation e9099495-8848-4f36-9917-fd8e0257c96a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 32

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source=arxiv_source observed=2026-07-31T13:36:04.263989Z digest=sha256:ff166d990a2304335ec86c8ba9b34c1dabeabdbae266b4181d3331540cf3de67

Observation aee53a1a-f26b-4f82-a0eb-2a74428f4153 · outbound

This paper cites Information Fusion , volume=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Information Fusion , volume=

Reference 33

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source=arxiv_source observed=2026-07-31T13:36:04.325197Z digest=sha256:602e75381c89336c0a41d3ead2f23fd438b7dc71556fc93fa05f388c4ff863e7

Observation 6ef4e0c1-91f7-41a0-b80f-49fd0c3514df · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 34

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source=arxiv_source observed=2026-07-31T13:36:04.372401Z digest=sha256:9c585a3e59bcf205fac15fbc44abfc58697ead0a42321e748f428935bb952449

Observation ceb5d452-a28b-467a-91fd-7050ba3597e8 · outbound

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

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 35

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source=arxiv_source observed=2026-07-31T13:36:04.407615Z digest=sha256:e642fd10fa902c6ed762bad34a0ef0da7a89ebefe87d347e37d38e62fcd4ff46

Observation b944ea45-6147-458d-8777-8a4f1e3527d5 · outbound

This paper cites an unresolved cited work.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-07-31T13:36:04.450500Z digest=sha256:5cf60ebd55763d1230be2466eb786dd77fddcf6e21cb431685d42ca637708b84

Observation 976c69a4-466f-4caf-92ee-fef1a87163d6 · outbound

This paper cites Conference on Robot Learning , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Conference on Robot Learning , pages=

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T13:36:04.487387Z digest=sha256:ec0bed849316679b4fd761d39e82ac0a95614ada9538a8b1a1968815f0787a86

Observation b552bfb4-dc37-4a98-835e-a6977fbde777 · outbound

This paper cites Conference on Robot Learning , pages=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Conference on Robot Learning , pages=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-31T13:36:04.524322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T13:36:04.524322Z digest=sha256:a9f61eba8ffcca72b9dbdd935e431c22380588805958dbf6ab5eca6bc78222d3

Observation 16dfccd9-82b6-4ca3-b03d-3c9071f00488 · outbound

This paper cites 2, 2022-06-27 , author=.

{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision 2, 2022-06-27 , author=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-31T13:36:04.561551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T13:36:04.561551Z digest=sha256:20b5628a339bed6ce71dd97f45bcd976162be8660d02f32d65fc5f9b9583599f

Pith citing papers

No inbound Pith citation observations are available.