AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment | Paper Citation Record

Observation a80f3fb3-6906-453b-962a-2a7991877373 · outbound

This paper cites Flexible robotic hand harnesses large deformations for full-coverage human-like multimodal haptic perception.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Flexible robotic hand harnesses large deformations for full-coverage human-like multimodal haptic perception

Reference 1

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Observation e42408a2-f256-4ec3-943d-0c76a2e70be3 · outbound

This paper cites Language-conditioned affordance-pose detection in 3d point clouds.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Language-conditioned affordance-pose detection in 3d point clouds

Reference 2

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Observation 0a1a5556-9931-449e-aa6f-36b0dca8deb9 · outbound

This paper cites Uad: Unsupervised affordance distillation for generalization in robotic manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Uad: Unsupervised affordance distillation for generalization in robotic manipulation

Reference 3

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Observation a4e492e0-bb0c-481c-b44b-27dc38e0c981 · outbound

This paper cites Affordancenet: An end-to-end deep learning approach for object affordance detection.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Affordancenet: An end-to-end deep learning approach for object affordance detection

Reference 4

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Observation dba22695-6937-4e36-a271-9c7681c59e48 · outbound

This paper cites Omnimanip: Towards general robotic manipulation via object-centric interaction primitives as spatial constraints.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Omnimanip: Towards general robotic manipulation via object-centric interaction primitives as spatial constraints

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.162648Z

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Observation e00a138e-3384-481c-a54d-b12839579ef9 · outbound

This paper cites A0: An affordance-aware hierarchical model for general robotic manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment A0: An affordance-aware hierarchical model for general robotic manipulation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.164870Z

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Observation ae510d2a-34a0-4984-94a0-27c099ba9fbf · outbound

This paper cites Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.192041Z

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Observation 3462b2f8-4cd0-4b26-abb0-76a06ad58603 · outbound

This paper cites Robots pre-train robots: Manipulation- centric robotic representation from large-scale robot datasets.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Robots pre-train robots: Manipulation- centric robotic representation from large-scale robot datasets

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.193745Z

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Observation a161325b-5166-4c75-9223-9bde3d11b005 · outbound

This paper cites Tars: Tactile affor- dance in robot synesthesia for dexterous manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Tars: Tactile affor- dance in robot synesthesia for dexterous manipulation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.131703Z

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Observation 0ab42483-c3c2-48fa-aa66-0363f8c7992e · outbound

This paper cites Sa-dem: Dexterous ex- trinsic robotic manipulation of non-graspable objects via stiffness-aware dual-stage reinforcement learning.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Sa-dem: Dexterous ex- trinsic robotic manipulation of non-graspable objects via stiffness-aware dual-stage reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.104422Z

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Observation 75f4f201-3e0b-41c0-a71e-84d5f40f79e4 · outbound

This paper cites Rt-1: Robotics transformer for real-world control at scale.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Rt-1: Robotics transformer for real-world control at scale

Reference 11

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Observation 1d4a99c3-927b-4551-9858-c4bfcd7bd42e · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.126223Z

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Observation d674d6fd-e408-4bb7-be12-5ca75bf7f1b0 · outbound

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

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.687925Z

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Observation 51a453dd-e221-4464-96f1-2f1c90c42aff · outbound

This paper cites OpenVLA: An open- source vision-language-action model.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment OpenVLA: An open- source vision-language-action model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.179140Z

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Observation 9cc0998f-da3c-4191-a37a-803b40ec33a8 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.726188Z

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Observation 8b8f72f0-26ba-44ad-b8d8-8c8d7b61e4ff · outbound

This paper cites Vla-jepa: Enhancing vision-language-action model with latent world model.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Vla-jepa: Enhancing vision-language-action model with latent world model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.730425Z

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Observation 59133584-fb53-4ed5-aca1-1e0ad34bd7db · outbound

This paper cites Reconvla: Reconstructive vision- language-action model as effective robot perceiver.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Reconvla: Reconstructive vision- language-action model as effective robot perceiver

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.177442Z

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Observation 432e511c-7e91-4b79-ab64-d558f7ca87dd · outbound

This paper cites Spatial forcing: Implicit spatial representation alignment for vision-language-action model.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Spatial forcing: Implicit spatial representation alignment for vision-language-action model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.201587Z

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Observation 6ab08b49-dd82-4e33-bc51-c421305ab70a · outbound

This paper cites Rt-affordance: Affordances are versatile intermediate representations for robot manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Rt-affordance: Affordances are versatile intermediate representations for robot manipulation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.184320Z

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Observation 0145e820-13d5-4025-9184-55029ff32c71 · outbound

This paper cites Moka: Open-world robotic manipulation through mark-based visual prompting.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Moka: Open-world robotic manipulation through mark-based visual prompting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.211213Z

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Observation 8e10241c-45ca-45e2-bd69-8b179736809d · outbound

This paper cites Knowledge enhanced bottom-up affordance grounding for robotic interaction.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Knowledge enhanced bottom-up affordance grounding for robotic interaction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.209407Z

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Observation 815ad580-1760-4fd9-83fc-2e4cd411505c · outbound

This paper cites Uncertainty-aware state space transformer for egocentric 3d hand trajectory forecasting.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Uncertainty-aware state space transformer for egocentric 3d hand trajectory forecasting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.190574Z

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Observation a79f06d0-d910-4c5b-a070-bbb73373db87 · outbound

This paper cites arXiv preprint arXiv:2507.10672 , year=.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment arXiv preprint arXiv:2507.10672 , year=

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:53:17.707386Z

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Observation f2c43b1b-1d17-4e03-ab93-cb4bbc6077ac · outbound

This paper cites Coa-vla: Improving vision-language- action models via visual-text chain-of-affordance.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Coa-vla: Improving vision-language- action models via visual-text chain-of-affordance

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.186883Z

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Observation 3982747b-e186-4606-bb30-e8756490d2de · outbound

This paper cites PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.710898Z

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Observation 127fac3d-d8a6-4695-bb87-d8394e089365 · outbound

This paper cites GPT-4 Technical Report.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment GPT-4 Technical Report

Reference 26

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Observation 26c62ed2-df55-4b25-a3e6-da110d70e524 · outbound

This paper cites Qwen3-VL Technical Report.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Qwen3-VL Technical Report

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.703792Z

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Observation 20807dcc-7c92-4e2d-88d1-eff5233743a0 · outbound

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

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.700714Z

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Observation 213ba8ba-50af-4292-a7bf-99076b11954b · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.180900Z

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Observation a56228ed-2ed6-4908-a8be-bd4e9c9ad57b · outbound

This paper cites Cot-vla: Visual chain-of-thought reasoning for vision-language-action models.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Cot-vla: Visual chain-of-thought reasoning for vision-language-action models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.185019Z

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Observation 2c17658d-5a34-4d27-9ddc-7639f6b5566d · outbound

This paper cites Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.718213Z

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Observation e9335216-3146-4cdf-b019-fae644691dcc · outbound

This paper cites F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.714061Z

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Observation bbf4e9fb-371b-497c-bc86-212e66694060 · outbound

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

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment $\pi^{*}_{0.6}$: a VLA That Learns From Experience

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.733969Z

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Observation d5bc91fc-6de5-4798-8560-472502e8c796 · outbound

This paper cites Ig-rft: An interaction-guided rl framework for vla models in long-horizon robotic manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Ig-rft: An interaction-guided rl framework for vla models in long-horizon robotic manipulation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.722182Z

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Observation d7845171-13e2-4158-8031-77b30695902b · outbound

This paper cites VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.670684Z

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Observation fa1698af-058c-4e4e-b48d-d132b2766042 · outbound

This paper cites The ecological approach to visual perception.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment The ecological approach to visual perception

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.196842Z

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Observation 2c3ef289-13ec-48d2-8d79-ba01854eafb5 · outbound

This paper cites Affpose: An integrated rgb-based framework for simultaneous pose estimation and affordance detection in robotic tool manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Affpose: An integrated rgb-based framework for simultaneous pose estimation and affordance detection in robotic tool manipulation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.205791Z

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Observation 3da84687-8238-4a0c-8335-f4f2978a242b · outbound

This paper cites Affordancellm: Grounding affordance from vision language models.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Affordancellm: Grounding affordance from vision language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.188007Z

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Observation 85a8b5fd-b186-4dc2-8111-4528b4494520 · outbound

This paper cites Object affordance detection with relationship-aware network.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Object affordance detection with relationship-aware network

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.124475Z

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Observation 9f478216-4223-4a9d-a180-b49e0cfbf81f · outbound

This paper cites Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.677492Z

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Observation 2b143792-06fc-4c29-8e2b-d5ebde73bc9a · outbound

This paper cites Closed-loop visuomotor control with generative expectation for robotic manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Closed-loop visuomotor control with generative expectation for robotic manipulation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.128088Z

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Observation ffcaae19-44c8-42cb-a209-fc4839c0b3fb · outbound

This paper cites Manipgpt: Is affordance segmentation by large vision models enough for articulated object manipulation?.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Manipgpt: Is affordance segmentation by large vision models enough for articulated object manipulation?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.162449Z

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Observation a9d2855f-7075-44ec-a710-dec7d8234f71 · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment R3M: A Universal Visual Representation for Robot Manipulation

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.681129Z

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Observation a8dec64e-d821-4735-8a8f-b8f966d90d00 · outbound

This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Representation alignment for generation: Training diffusion transformers is easier than you think

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.174158Z

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Observation d1ac1003-d649-41a2-9ecc-b93ef8b26e84 · outbound

This paper cites 3drs: Mllms need 3d-aware representation supervision for scene understanding.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment 3drs: Mllms need 3d-aware representation supervision for scene understanding

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.176092Z

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Observation 59b041a6-3c7c-4314-a72a-cfb099456f91 · outbound

This paper cites Genhancer: Imperfect generative models are secretly strong vision-centric enhancers.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Genhancer: Imperfect generative models are secretly strong vision-centric enhancers

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.180032Z

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Observation fb5616a3-2328-4a7a-acd4-b85ec585c9b6 · outbound

This paper cites Reconstructive visual instruction tuning.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Reconstructive visual instruction tuning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.194834Z

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Observation f977aa6c-3148-43c6-97a9-1613c5ab54f6 · outbound

This paper cites Cross-modality alignment perception and multi- head self-attention mechanism for vision-language-action of humanoid robot.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Cross-modality alignment perception and multi- head self-attention mechanism for vision-language-action of humanoid robot

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.198939Z

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Observation 8e927c4a-c817-4a2b-b8bc-c4ac2c54e454 · outbound

This paper cites Spatialvla: Exploring spatial repre- sentations for visual-language-action model.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Spatialvla: Exploring spatial repre- sentations for visual-language-action model

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.155405Z

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Observation 55e7d085-89c9-49ce-9ebb-491aa79a0eb2 · outbound

This paper cites FLARE: Robot Learning with Implicit World Modeling.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment FLARE: Robot Learning with Implicit World Modeling

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.697262Z

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Observation 46538472-d2c3-4216-bdca-8c6c7ef2b353 · outbound

This paper cites Flow matching for generative modeling.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Flow matching for generative modeling

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.151907Z

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Observation b153f260-a7f7-4d0a-869a-ac83214b19bb · outbound

This paper cites SAM 3: Segment anything with concepts.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment SAM 3: Segment anything with concepts

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.152167Z

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Observation 7367755f-ca11-4dd2-bc85-63e443071924 · outbound

This paper cites Deciphering cross-modal alignment in large vision- language models via modality integration rate.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Deciphering cross-modal alignment in large vision- language models via modality integration rate

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.158038Z

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Observation fedddaaf-862b-4a52-a075-5ab7b42bc6b9 · outbound

This paper cites Learning affordance grounding from exocentric images.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Learning affordance grounding from exocentric images

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.166985Z

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Observation 288c51a2-fa5f-4550-85fd-fd26ce3b5db5 · outbound

This paper cites Locate: Localize and transfer object parts for weakly supervised affordance grounding.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Locate: Localize and transfer object parts for weakly supervised affordance grounding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.172268Z

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Observation 5dc70278-2283-42ba-a76a-6d4c015f3619 · outbound

This paper cites What do different evaluation metrics tell us about saliency models?.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment What do different evaluation metrics tell us about saliency models?

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.207556Z

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Observation 2d48d88a-0444-4c07-a334-145e7b4af50a · outbound

This paper cites Color indexing.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Color indexing

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.170013Z

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Observation bb2a4a6d-75c0-469f-a7b4-980e48f40ccc · outbound

This paper cites Components of bottom-up gaze allocation in natural images.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Components of bottom-up gaze allocation in natural images

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.164145Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ad4f51e-eddb-41d4-99c8-d6813c24b5cc · outbound

This paper cites Understanding 3d object interaction from a single image.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Understanding 3d object interaction from a single image

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.195716Z

Source-reported events for the cited work

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Observation 10841c49-fa8b-461a-8d98-cba3d08ef548 · outbound

This paper cites One-shot open affordance learning with foundation models.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment One-shot open affordance learning with foundation models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.192756Z

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Observation 03e23903-42be-4165-b5d9-b49c85e3ec21 · outbound

This paper cites AffordanceSAM: Segment Anything Once More in Affordance Grounding.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment AffordanceSAM: Segment Anything Once More in Affordance Grounding

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-13T01:20:01.599725Z

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Observation 95f9dfb1-24a1-40d7-b1d6-7928772f05ab · outbound

This paper cites Grounded human- object interaction hotspots from video.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Grounded human- object interaction hotspots from video

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.142475Z

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Observation da60d217-8234-45df-a374-5b2e104f4b55 · outbound

This paper cites Intra: Interaction relationship-aware weakly supervised affordance grounding.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Intra: Interaction relationship-aware weakly supervised affordance grounding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.203639Z

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Observation 14467bd2-8949-4af2-87a9-f7d9651dc935 · outbound

This paper cites Resource-efficient affordance grounding with com- plementary depth and semantic prompts.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Resource-efficient affordance grounding with com- plementary depth and semantic prompts

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.139099Z

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Observation 444c3b59-7f1c-4494-a816-434a279fd112 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Lisa: Reasoning segmentation via large language model

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.142970Z

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Observation d2900695-e64b-4ed3-be2a-fd3b5ecda3bc · outbound

This paper cites MMR: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment MMR: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.146825Z

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Observation a12663a9-6238-44a9-b0ad-96e20f6dc542 · outbound

This paper cites Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:17:13.047323Z

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Observation d2ee9b20-a786-49d4-b477-149a7b6c18e4 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:53:17.684753Z

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Observation 281fbaa8-e280-4702-9c90-90d952b320c6 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Learning fine-grained bimanual manipulation with low-cost hardware

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.144895Z

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Observation cfbbd6f9-3a5d-4464-a8a2-b9d83e5a26c4 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Diffusion policy: Visuomotor policy learning via action diffusion

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.125435Z

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Observation 397de45f-204b-4998-8c52-20277e796062 · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.136913Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45ab4b1e-79b5-4b88-8693-366b49c3da5d · outbound

This paper cites RDT-1b: a diffusion foundation model for bimanual manipulation.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment RDT-1b: a diffusion foundation model for bimanual manipulation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.140760Z

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Observation 93351783-2e91-4a60-81d5-39cb3fb18aea · outbound

This paper cites One-shot transfer of affordance regions? affcorrs!.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment One-shot transfer of affordance regions? affcorrs!

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.146298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f73198b2-c764-435c-ba7a-3a9773eff58b · outbound

This paper cites Weakly supervised multimodal affordance grounding for egocentric images.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Weakly supervised multimodal affordance grounding for egocentric images

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.133498Z

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Observation 18133da4-1426-44f0-8c0b-3e2c8ed6f92e · outbound

This paper cites Weakly-supervised affordance grounding guided by part-level semantic priors.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Weakly-supervised affordance grounding guided by part-level semantic priors

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.135126Z

Source-reported events for the cited work

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Observation 309184ed-5d07-4737-9b7b-7cfd51332b42 · outbound

This paper cites Reasoning mamba: Hypergraph-guided region relation calculating for weakly su- pervised affordance grounding.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Reasoning mamba: Hypergraph-guided region relation calculating for weakly su- pervised affordance grounding

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.148311Z

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Observation 7051b13f-ea93-4d3f-80a3-dbeba47f1486 · outbound

This paper cites Visualizing data using t-sne.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Visualizing data using t-sne

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:53:29.170395Z

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