Paper Citation Record · LEDGER

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training

As of 4 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2607.02840.

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

pith.paper-citation-record.v1
2607.02840 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:41:57.276146Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T13:36:03.588516Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

verified exact0
verified fuzzy0
unresolved74
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fabe4b8c-c52e-44ad-9851-4ff784720729 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training RT-1: Robotics Transformer for Real-World Control at Scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1231b64b-a6a9-4264-85b5-a5040e899ac4 · outbound

This paper cites Zitkovich, T.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Zitkovich, T

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 1207a6a1-f4a3-41b7-a814-63246f3988f9 · outbound

This paper cites O’Neill, A.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training O’Neill, A

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation b8cf403b-8cec-4b6b-b33e-43b251eb6c60 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Octo: An Open-Source Generalist Robot Policy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 26f78d8c-aa8b-4cf6-922f-a075f786bd14 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training OpenVLA: An Open-Source Vision-Language-Action Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 21add7a9-6efb-4466-9228-7e86f6f269ae · outbound

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

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation aa62a1c4-bf68-4fde-b629-481806968c0f · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 64bce90d-0fcd-44b0-8b6f-c3092caddef1 · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 743cbb4c-1869-4f43-8e41-44291c7fa5fe · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 44b12684-0102-43f9-9845-88fba8a9472b · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation ea65ff9c-8779-4f8a-b24e-64df99b43df4 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation c199ca35-5bb9-420e-b0df-15ec6f46e689 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 74ad2c5b-7c55-4c10-aa34-11d86a5b04fc · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 3865ca00-2754-4e8d-b1c9-8463ea15d004 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 9a9c9b5e-8937-460b-aa4b-024db00a18bd · outbound

This paper cites Hoque, A.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Hoque, A

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation e2c77c98-36f5-44b0-bfda-1e71235dbc59 · outbound

This paper cites Korkmaz and E.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Korkmaz and E

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 4a1e1a0b-acec-4f54-b498-c8cb17311f83 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 664db579-cb43-4946-8a70-f8a3e6bf7ddf · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 9a80ce8f-61fb-486d-90bf-8058b6ac7de6 · outbound

This paper cites Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 4cd284d0-7273-47ca-8f9f-5f2371af7856 · outbound

This paper cites TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 814a24cb-15a6-4362-8d00-22e6599e815a · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation f6bc6f8e-32ce-4358-bc49-f45c44a115d0 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 514139c2-5adc-4647-8777-24ebe2add648 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation e4da4dcd-bbfd-43d7-af7e-11c60ba44de5 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 48dcce28-7e8f-4a07-977a-c23ec798f0c0 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation ddc64b14-712a-4381-b223-2b66b624cbde · outbound

This paper cites RISE: Self-Improving Robot Policy with Compositional World Model.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training RISE: Self-Improving Robot Policy with Compositional World Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation b7f23e85-8873-4ced-ae89-227767f2d59e · outbound

This paper cites WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 524ea558-5aeb-4de9-87c8-9e35f53b2d0e · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation c3faff35-cd16-4d82-9613-6bc879f9703c · outbound

This paper cites WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 8bfd9005-2b04-4a83-b8d4-08eb2ee656cd · outbound

This paper cites Driess, J.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Driess, J

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation ac80c2fb-d7eb-4c50-935b-3f66ea3d10e2 · outbound

This paper cites Diffusion Guidance Is a Controllable Policy Improvement Operator.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Diffusion Guidance Is a Controllable Policy Improvement Operator

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation fdc8c166-1fe6-49c3-a654-5dd2aa7c437c · outbound

This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c4fab1a-8822-4d4d-8f9e-dbc9cd90cbf8 · outbound

This paper cites HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation b4137d4b-3e7f-4d4e-8ead-be8fa803bfe5 · outbound

This paper cites AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation d142eb97-620c-414b-9bd4-50f57b21609e · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 5d2855cf-0c46-4967-8be0-ed314527d0a9 · outbound

This paper cites StableIDM: Stabilizing Inverse Dynamics Model against Manipulator Truncation via Spatio-Temporal Refinement.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training StableIDM: Stabilizing Inverse Dynamics Model against Manipulator Truncation via Spatio-Temporal Refinement

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation f341380c-7b39-4fe3-915e-857cd4f1f478 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 37

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Observation edaa9bf1-51a1-4746-82f5-34d04996bbc0 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 38

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Observation 16040de8-6596-4de3-b9c3-8d258b494abb · outbound

This paper cites ViVa: A Video-Generative Value Model for Robot Reinforcement Learning.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training ViVa: A Video-Generative Value Model for Robot Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation b9963cda-0010-4654-b0d6-76faeed584ca · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation b37644f8-0a08-4352-92ef-c2d59794699d · outbound

This paper cites Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 210d5b78-5f0a-491a-b0b3-a9f20f33d508 · outbound

This paper cites Jiang, K.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Jiang, K

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 8bc31f8b-0971-4e50-b01f-c0085c241635 · outbound

This paper cites World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 93c00f76-f586-4229-8065-4e70ceadcf76 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 8c046960-547d-443c-bb93-6feee6d144ca · outbound

This paper cites World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 38da0819-d8ff-4f69-b39b-21786ba647f3 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 46

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Observation 68d7b3fa-bc49-47d1-abaa-a0eb4e5a574e · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 47

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Observation db21e339-15af-43b3-b20d-fb8595613061 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 48

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Observation 3007337e-fdd2-430b-a8b2-0d86524f58c9 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 676462bd-1c13-4d2c-bfa3-0cbc8b5ac0d7 · outbound

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

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 04b0a2b2-7384-4f5c-98c6-cc81d138fc41 · outbound

This paper cites Cheng, Y.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Cheng, Y

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 8f3403a7-a273-4b18-bb64-a9ae778bc1e6 · outbound

This paper cites Morissette, A.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Morissette, A

Reference 52

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Observation 8753a237-15ab-4037-a8f5-f42b92ca8643 · outbound

This paper cites Zhang, H.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Zhang, H

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 19e5d790-5725-4f54-88a7-75aa520a3e2b · outbound

This paper cites Huang, P.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Huang, P

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation ccff4732-faa7-48d9-ab57-f54196ce9682 · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 55

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Observation d1c96498-7154-4b29-97fb-99a66ed83b2d · outbound

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

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Octopi: Object Property Reasoning with Large Tactile-Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation d5f69f2f-a88b-46ec-86d2-7d79aba58a3e · outbound

This paper cites an unresolved cited work.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation ddb1aac8-cc35-4d5b-b46e-73a2bfc86df0 · outbound

This paper cites 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation 67da1b04-3059-4e4c-a1f4-e85bae627804 · outbound

This paper cites Gubernatorov, M.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Gubernatorov, M

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 03a021a8-6f7b-46b3-bf80-a6567ea9c16c · outbound

This paper cites Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation b822e802-3757-4c3a-98fa-49e643d8c7d7 · outbound

This paper cites Zheng, S.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Zheng, S

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation 98e50c0c-f6ba-4aed-a112-7d8f1eacf931 · outbound

This paper cites Higuera, S.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Higuera, S

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation adf39b4c-e2b3-4b81-b0b6-8cf9ff299009 · outbound

This paper cites AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation 84d2054e-4239-47ac-9762-66a0c85f6964 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training Wan: Open and Advanced Large-Scale Video Generative Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 52f32807-2904-4488-9cf3-77640cb61bdf · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training DINOv2: Learning Robust Visual Features without Supervision

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation 2e237331-a96d-4f01-b959-bc4cf3b0a95c · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 61ec474b-8798-401c-89e0-1da94d4dc3fa · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation c4cc088b-8893-4c2a-ab1e-d72317602111 · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation f7fe008f-1c5a-452a-be05-c9e3d7243b6d · outbound

This paper cites S1: insert the flower into the vase.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: insert the flower into the vase

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation f4dc991d-68db-48d3-b776-ee00521ab00b · outbound

This paper cites S1: grasp the eraser; S2: wipe off the star.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: grasp the eraser; S2: wipe off the star

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Observation 0a4299ee-ea90-422d-bc6f-fc6d74d768e2 · outbound

This paper cites S1: grasp the bottle cap; S2: twist open and lift the cap.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: grasp the bottle cap; S2: twist open and lift the cap

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation 2118b449-e606-4266-ab8d-6888570afb76 · outbound

This paper cites S1: strike the 1st key; S2: strike the 3rd key; S3: strike the 5th key; S4: strike the 8th key.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: strike the 1st key; S2: strike the 3rd key; S3: strike the 5th key; S4: strike the 8th key

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation a1d692bf-5565-44da-828b-9cc53c4a16d3 · outbound

This paper cites S1: grasp the first slice; S2: insert the first slice into the toaster; S3: grasp the second slice; S4: insert the second slice.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: grasp the first slice; S2: insert the first slice into the toaster; S3: grasp the second slice; S4: insert the second slice

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

Source-reported events for the cited work

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Observation f790ae03-c26b-4ef0-8d79-5cf7231faad1 · outbound

This paper cites S1: grasp the top ring; S2: place the top ring on the left peg; S3: grasp the second ring; S4: place the second ring on the right peg.

TACO: TActile World Model as a Self-COrrector forScalable VLA Post-Training S1: grasp the top ring; S2: place the top ring on the left peg; S3: grasp the second ring; S4: place the second ring on the right peg

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-12T06:41:57.276146Z

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Pith citing papers

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

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

{\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

Resolution: unresolved; no resolver link, observed 2026-07-31T13:36:03.588516Z

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Unavailable: canonical work link unavailable.