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Paper Citation Record · LEDGER

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 4 inbound Pith citation observations for arXiv:2603.15257.

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

pith.paper-citation-record.v1
2603.15257 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:51:29.007610Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T11:18:32.259684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.219705Z

Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 90173b98-2b57-4275-b521-92a1c20a35f6 · outbound

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

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing OpenVLA: An Open-Source Vision-Language-Action Model

Reference 1

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source=pdf_text observed=2026-08-04T05:51:28.916443Z digest=sha256:4bcd1042858f1fb9d2c8c7900974a00b470b011c53d8b625504dfe9bfd44ed33

Observation c9f5b8ef-e4cf-4755-a4f5-1e9912d8bc60 · outbound

This paper cites π0: A vision-language-action flow model for general robot control,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing π0: A vision-language-action flow model for general robot control,

Reference 2

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source=pdf_text observed=2026-08-04T05:51:28.920338Z digest=sha256:3425740243c10108a0f301f8dbac6eb3e4a3cbc901cebecffd8318b3e60c8d90

Observation b2bfa2a4-fe25-47e8-9a66-d4b92314ac36 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 3

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Observation 6a1df052-d7e4-4675-8834-7f7842876603 · outbound

This paper cites VTLA: Vision-Tactile-Language-Action Model with Preference Learning for Insertion Manipulation.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing VTLA: Vision-Tactile-Language-Action Model with Preference Learning for Insertion Manipulation

Reference 4

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source=pdf_text observed=2026-08-04T05:51:28.929585Z digest=sha256:befbb070397f48a6c6ce5c35128efe11d906fcf8a9f3af1f0175238b7b762ad2

Observation 85657e0f-0277-4968-a106-3d9a25dd5081 · outbound

This paper cites Mla: A multisensory language-action model for multimodal understanding and forecasting in robotic manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Mla: A multisensory language-action model for multimodal understanding and forecasting in robotic manipulation,

Reference 5

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source=pdf_text observed=2026-08-04T05:51:28.932642Z digest=sha256:001c14674e21362c1024c9cdde7b0ad69efa8977a6c4ab0037b2c4810d58121a

Observation a234c51b-a5a4-4914-93f5-1c1eaa662f62 · outbound

This paper cites Omnivtla: Vision-tactile-language-action model with semantic-aligned tactile sensing,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Omnivtla: Vision-tactile-language-action model with semantic-aligned tactile sensing,

Reference 6

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Observation c0ccf6e2-76ee-4597-87b5-6dddd07bf8dd · outbound

This paper cites VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback

Reference 7

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Observation 6d7e7467-b108-4023-931e-581d186e49b9 · outbound

This paper cites Bitla: A bimanual tactile-language-action model for contact-rich robotic manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Bitla: A bimanual tactile-language-action model for contact-rich robotic manipulation,

Reference 8

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source=pdf_text observed=2026-08-04T05:51:28.941171Z digest=sha256:0ef83babe9863fc5e8bfe075e8299f374f71f340888f1a2cfa29c8f22c0c4cb8

Observation 2b85a9a1-1677-46fa-8d23-f90661ec4f76 · outbound

This paper cites Beyond sight: Finetuning generalist robot policies with heterogeneous sensors via language grounding,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Beyond sight: Finetuning generalist robot policies with heterogeneous sensors via language grounding,

Reference 9

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Observation 9fccd402-5dfb-416b-aec3-60cf803dd431 · outbound

This paper cites Forcevla: Enhancing vla models with a force-aware moe for contact-rich manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Forcevla: Enhancing vla models with a force-aware moe for contact-rich manipulation,

Reference 10

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Observation 34f8c26e-2596-4c66-b408-3bac981455e2 · outbound

This paper cites Tactile-force alignment in vision-language-action models for force- aware manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Tactile-force alignment in vision-language-action models for force- aware manipulation,

Reference 11

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Observation af5db02e-e72b-4ca6-8bcc-2a1f31ed6f17 · outbound

This paper cites Fd-vla: Force-distilled vision-language-action model for contact-rich manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Fd-vla: Force-distilled vision-language-action model for contact-rich manipulation,

Reference 12

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source=pdf_text observed=2026-08-04T05:51:28.951438Z digest=sha256:58082d454a226794d6a5fe525acbf56ff8146f79f8dfef80612436161b4da8c5

Observation 7271f9d3-a06c-4389-a06e-e75fe416a7e5 · outbound

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

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization

Reference 13

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source=pdf_text observed=2026-08-04T05:51:28.953856Z digest=sha256:2456809a8db87b4d63f7771bfcba0f3ee0c9d89b3d88633b9c07da21e29a62d0

Observation ed908e63-4120-423b-99f3-185cdb8236f1 · outbound

This paper cites Low-fidelity visuo-tactile pre-training improves vision-only manipulation performance,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Low-fidelity visuo-tactile pre-training improves vision-only manipulation performance,

Reference 14

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source=pdf_text observed=2026-08-04T05:51:28.956632Z digest=sha256:54524ddf14ebc17749c828289bcf89ccd4b045eb22b1401d5b128029fdd72e80

Observation 9761a3f3-fc2e-4afb-bc34-77176a4f413e · outbound

This paper cites Reinforcement Learning for Flow-Matching Policies.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Reinforcement Learning for Flow-Matching Policies

Reference 15

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source=pdf_text observed=2026-08-04T05:51:28.959396Z digest=sha256:10357fba4e99f3400f6342395a6bfd4ad7c83a6ce5c44618cf297d0099c7c8ba

Observation 328fdbae-d173-4933-b47c-d9bf5440b6c5 · outbound

This paper cites Online reward-weighted fine-tuning of flow matching with wasserstein reg- ularization,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Online reward-weighted fine-tuning of flow matching with wasserstein reg- ularization,

Reference 16

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source=pdf_text observed=2026-08-04T05:51:28.962047Z digest=sha256:0cd312238ff3d6f482e479d4789df259924a8d4b7d0f8ddd6bcdb82118a08886

Observation 177ed4a9-1ec0-4312-b55d-5761fb25c9ca · outbound

This paper cites Flowrl: Matching reward distributions for llm reasoning,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Flowrl: Matching reward distributions for llm reasoning,

Reference 17

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source=pdf_text observed=2026-08-04T05:51:28.964413Z digest=sha256:c122fe416574190e3cc590f3eed4c9e6c4437a89f2c658b5901c7ac967bc6de6

Observation 523fe429-f1b8-4cb6-8c19-09b961db3bf4 · outbound

This paper cites Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models

Reference 18

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Observation 52beae3c-9512-4673-aea6-ea68f20d0ad0 · outbound

This paper cites Flowram: Grounding flow matching policy with region-aware mamba framework for robotic manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Flowram: Grounding flow matching policy with region-aware mamba framework for robotic manipulation,

Reference 19

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source=pdf_text observed=2026-08-04T05:51:28.969469Z digest=sha256:5fb82c1f0b66eb394626d936ec76ac66047735d6cfee7c7972e8e9261dc7f99c

Observation 00eb2799-d19f-42b6-9c1f-d86ea024cf72 · outbound

This paper cites Reinflow: Fine-tuning flow matching policy with online reinforcement learning,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Reinflow: Fine-tuning flow matching policy with online reinforcement learning,

Reference 20

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source=pdf_text observed=2026-08-04T05:51:28.972042Z digest=sha256:c2482207b0e5edb92a3edd82d6e56bc24bc35de98d6e353fb13fb5cb21c88e14

Observation f0214ac5-5f6e-4864-9c92-380b3a034722 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta-reinforcement learning,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Meta-world: A benchmark and evaluation for multi-task and meta-reinforcement learning,

Reference 21

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source=pdf_text observed=2026-08-04T05:51:28.974624Z digest=sha256:52df95fd44a8b70da6dbbffe334a40911de47d5edf57b389594c57f84f2a8022

Observation fcd108fa-ee62-4a34-9f5e-22bc5b9ef15d · outbound

This paper cites Learning complex dexterous manipulation with deep reinforcement learning and demonstrations,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Learning complex dexterous manipulation with deep reinforcement learning and demonstrations,

Reference 22

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source=pdf_text observed=2026-08-04T05:51:28.977083Z digest=sha256:b982f930525ffc4e7ffb6bbc21bbde6eb87b7eb34b3c249cf61205a03b7df5a9

Observation fddf7671-d310-4608-852f-f6798a7ea73b · outbound

This paper cites X- distill: Cross-architecture vision distillation for visuomotor learning,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing X- distill: Cross-architecture vision distillation for visuomotor learning,

Reference 23

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source=pdf_text observed=2026-08-04T05:51:28.979562Z digest=sha256:8d871480bfcdcfc8863c5a1fd9f35f178a4a29e1f0ac760f8a36656b9c581a99

Observation ece9bace-7a7a-45a8-93a0-59646f5730f7 · outbound

This paper cites Libero: Benchmarking knowledge transfer in lifelong robot learning,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Libero: Benchmarking knowledge transfer in lifelong robot learning,

Reference 24

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source=pdf_text observed=2026-08-04T05:51:28.981980Z digest=sha256:bcbc3ab0fea1999e3b8463489187ec4b0d4e7ff0972eeb44f90ac64adb840548

Observation 430a6271-cf01-4ccc-958e-70316ec0099b · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 25

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source=pdf_text observed=2026-08-04T05:51:28.984447Z digest=sha256:102774d84b0fa425477d44e965192801a2a9d95278b0c109b98fd4c809d4afe5

Observation 9d7fea25-c0df-4bbd-8547-58437000e44f · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 26

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source=pdf_text observed=2026-08-04T05:51:28.987237Z digest=sha256:3d11b2aef90e79f83a06403163edc477a5beb0dd6c7fe5187b08ed6682b0085a

Observation 552abac9-e88f-4c06-99a6-92e4a1b5fdce · outbound

This paper cites ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models

Reference 27

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source=pdf_text observed=2026-08-04T05:51:28.989779Z digest=sha256:f188b44013eecd130ccec2a13b9959a82f97c3188655ff47c8caa246d1a80785

Observation cf7aabb4-df97-446c-ad8a-9396985a00af · outbound

This paper cites Dysl-vla: Effi- cient vision-language-action model inference via dynamic-static layer- skipping for robot manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Dysl-vla: Effi- cient vision-language-action model inference via dynamic-static layer- skipping for robot manipulation,

Reference 28

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source=pdf_text observed=2026-08-04T05:51:28.992518Z digest=sha256:fb8f594bd2f84c62a23275f3f95ab3f09e733c45285794cded4bd3251aa05e46

Observation 809303d0-e86a-42b4-bd52-18c5bb13a10a · outbound

This paper cites Robobrain: A unified brain model for robotic manipulation from abstract to concrete,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Robobrain: A unified brain model for robotic manipulation from abstract to concrete,

Reference 29

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Observation e0badc25-c9d4-486e-9569-2ea54fd52113 · outbound

This paper cites Move-kd: Knowledge distillation for vlms with mixture of visual encoders,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Move-kd: Knowledge distillation for vlms with mixture of visual encoders,

Reference 30

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source=pdf_text observed=2026-08-04T05:51:28.997506Z digest=sha256:1b4da39f732e2d78b6c3020103eb6430c771c8a9bdc69fd6240b5890231168ab

Observation b41a60fe-97de-4ea9-b587-7ad0dce311e9 · outbound

This paper cites Fedvla: Federated vision-language-action learning with dual gating mixture-of-experts for robotic manipulation,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Fedvla: Federated vision-language-action learning with dual gating mixture-of-experts for robotic manipulation,

Reference 31

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Observation e885dda3-72da-408b-8048-f2088e387bb6 · outbound

This paper cites Lerobot: State-of-the-art machine learning for real-world robotics in pytorch,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Lerobot: State-of-the-art machine learning for real-world robotics in pytorch,

Reference 32

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source=pdf_text observed=2026-08-04T05:51:29.002389Z digest=sha256:9184d69f22052a23a57159975c37cb1f81d07c6cfd15ae13e36999a53038291b

Observation 87e36c83-6c3e-43c3-b99f-10a5635b2458 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 33

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source=pdf_text observed=2026-08-04T05:51:29.004868Z digest=sha256:16be86ae07468daee5e526eafc30d65250f059ef3f7bcc01eb6374ae96dd2cd4

Observation 4f75d3d2-2b4b-410c-80e1-4a3f01c7356f · outbound

This paper cites Vla-0: Building state-of-the-art vlas with zero modification,.

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing Vla-0: Building state-of-the-art vlas with zero modification,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T05:51:29.007610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:51:29.007610Z digest=sha256:3aec81330d2ad1302e35da230769706bce40126922124893353b71fca34d9928

Observation d62ed05e-4f1e-4b7a-97e2-7c8732ef16d3 · outbound

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

HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T05:51:28.923296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:51:28.923296Z digest=sha256:6ef0ecce64881a8b841895ef8ec6986c05bfdf02d85750247dd2111c272af116

Pith citing papers

Observation bf7bda18-d934-4cf0-96b5-a3773b699fe5 · inbound

TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation cites this paper.

TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:30:26.749214Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T16:30:35.385161Z digest=sha256:ab1d6a876a5c946883f9085017627a275adab053cd4e3fefc8d166728a6e41aa

Observation 04a6f155-1680-498e-aebf-e492e7f25f2c · inbound

AetheRock: An Arm-Worn Robot Teaching System for Force-Guided Vision-Tactile Learning cites this paper.

AetheRock: An Arm-Worn Robot Teaching System for Force-Guided Vision-Tactile Learning HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:30:26.749214Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T16:25:09.975308Z digest=sha256:2a59fa5c9dcf3680b5557746dbeb08172b227b8bbc991fe8fb3168bc237f1a2d

Observation 42cf7704-7c5b-4249-8fe4-e70fb2fc7976 · inbound

TacCoRL: Integrating Tactile Feedback into VLA via Simulation cites this paper.

TacCoRL: Integrating Tactile Feedback into VLA via Simulation HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:30:26.749214Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T09:51:56.563479Z digest=sha256:aaff56908f600a8ba2dea0b7204eb87066e73fa93c746a0605ca7f9f8201801c

Observation fc268539-8e45-4b54-953d-786e13894b7c · inbound

Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation cites this paper.

Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:30:26.749214Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T11:18:32.259684Z digest=sha256:8562f17980646d6ce530b34d210289627d765e7e297fa6e2712c6270f7b2bf66