GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation | Paper Citation Record

Observation 83198efd-4f67-47da-9516-c8cd967ef32f · outbound

This paper cites Pddl— the planning domain definition language.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Pddl— the planning domain definition language

Reference 1

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Observation a0c722ae-fbd4-4321-83f9-af4e88afa36f · outbound

This paper cites On Evaluation of Embodied Navigation Agents.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation On Evaluation of Embodied Navigation Agents

Reference 2

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Observation 887326da-1fab-4d7e-bf0c-6247328a7101 · outbound

This paper cites Claude ai, 2025.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Claude ai, 2025

Reference 3

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Observation f9234ff2-7d04-4f81-ae9c-a0a4a6a8c999 · outbound

This paper cites Track2act: Predicting point tracks from internet videos enables diverse zero-shot robot manip- ulation, 2024.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Track2act: Predicting point tracks from internet videos enables diverse zero-shot robot manip- ulation, 2024

Reference 4

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Observation 87440fc2-79de-4b75-8ff9-eefb01b605d9 · outbound

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

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 5

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Observation 50827982-8d42-48a5-875b-9169e3747c9b · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:07.644953Z

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Observation e76fc7b9-b122-4a4d-9b03-377f18548c91 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 7

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Observation 7035777a-4503-4660-834c-6968da6f259f · outbound

This paper cites Procthor: Large-scale embodied ai using procedural generation.Ad- vances in Neural Information Processing Systems, 35:5982– 5994, 2022.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Procthor: Large-scale embodied ai using procedural generation.Ad- vances in Neural Information Processing Systems, 35:5982– 5994, 2022

Reference 8

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Observation 7fd3207c-a4dc-482f-a723-eb3c84233b7b · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Objaverse: A universe of annotated 3d objects

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:07.805487Z

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Observation 1cdb4ea3-49fc-4b21-9ac8-6d3c8f868483 · outbound

This paper cites RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:17:14.079113Z

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Observation 0be860bb-0e51-4034-ab53-f960892040f0 · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7): 6971–6988, 2023.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7): 6971–6988, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:07.913806Z

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Observation cccfe068-1b98-40b2-8c65-3d6f8c0ad2a7 · outbound

This paper cites Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:07.939920Z

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Observation 24135056-5e69-46ee-88b9-2f6a495e8dba · outbound

This paper cites FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:07.993358Z

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Observation c2d2de9c-fe83-4da3-9b74-731913b6c216 · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains.IEEE Transactions on Robotics,.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains.IEEE Transactions on Robotics,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.038497Z

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Observation 72e04039-40be-432b-a06c-a442fb39d959 · outbound

This paper cites Active task randomization: Learning visuomotor skills for sequential manipulation by proposing feasible and novel tasks.CoRR, 2022.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Active task randomization: Learning visuomotor skills for sequential manipulation by proposing feasible and novel tasks.CoRR, 2022

Reference 15

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Observation 5488a891-ce19-4383-8ae0-5e7a7c15bb69 · outbound

This paper cites Helix: A vision-language-action model for gen- eralist humanoid control, 2025.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Helix: A vision-language-action model for gen- eralist humanoid control, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.156813Z

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Observation 6e33a08d-0799-4257-a1ac-d61e4bb972c5 · outbound

This paper cites Scenic: a language for scenario specification and scene generation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Scenic: a language for scenario specification and scene generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.211902Z

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Observation c932b5f8-00f3-4d24-bb46-3c2d358a1cca · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.242838Z

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Observation 5e501f3d-1b26-4343-a987-f881375e7591 · outbound

This paper cites Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.311238Z

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Observation 96d067c9-e8c0-4273-b492-d399457ccf5c · outbound

This paper cites Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment

Reference 20

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Observation ef1acecb-2ba5-4162-b6af-facb2e276ed8 · outbound

This paper cites Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts

Reference 21

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Observation 38d23a0c-2895-41d1-9af0-0b598be93c26 · outbound

This paper cites Arnold: A benchmark for language-grounded task learning with con- tinuous states in realistic 3d scenes.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Arnold: A benchmark for language-grounded task learning with con- tinuous states in realistic 3d scenes

Reference 22

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Observation c2fb5500-db8b-4096-979a-2bc8559e0e04 · outbound

This paper cites Gemini api, 2025.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Gemini api, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.529755Z

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Observation d899cff8-9b08-4889-892e-3ab1332a6a6e · outbound

This paper cites RVT-2: Learning Precise Manipulation from Few Demonstrations.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RVT-2: Learning Precise Manipulation from Few Demonstrations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.566688Z

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Observation 734333b9-a33e-44a7-9c24-c695df072297 · outbound

This paper cites RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.602998Z

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Observation e84efe59-9cf7-4bca-a54e-9f4be7b19cd9 · outbound

This paper cites Maniskill2: A unified benchmark for generalizable manipulation skills.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Maniskill2: A unified benchmark for generalizable manipulation skills

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.674560Z

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Observation 4e52279b-7af8-4914-ba1e-681bb1ec0f3b · outbound

This paper cites MPlib: a Lightweight Motion Planning Library,.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation MPlib: a Lightweight Motion Planning Library,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.717158Z

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Observation af9d2852-59a8-442a-92d6-75e858a5a0f6 · outbound

This paper cites FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.780101Z

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Observation ade70b3d-d5c4-4b51-8e03-abe6fbd8aba5 · outbound

This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.821795Z

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Observation cac4aca0-2baf-4a07-9777-3321c6d5d14d · outbound

This paper cites CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.863737Z

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Observation cf67ed40-80c8-41f3-b643-74c72305a002 · outbound

This paper cites An Embodied Generalist Agent in 3D World.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation An Embodied Generalist Agent in 3D World

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:08.926212Z

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Observation 6dcb539d-fc74-4e67-acff-821cdd2c4b5d · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.009338Z

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Observation 838f89b8-a091-4fcb-826c-c708c0522ddf · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Let- ters, 5(2):3019–3026, 2020.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Rlbench: The robot learning benchmark & learning environment.IEEE Robotics and Automation Let- ters, 5(2):3019–3026, 2020

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.054421Z

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Observation e90258c3-f4c1-47b7-b191-9def291c62e1 · outbound

This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Sceneverse: Scaling 3d vision-language learning for grounded scene understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.108993Z

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Observation dac035ed-a010-45a7-99d1-4c5ce2b25572 · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation VIMA: General Robot Manipulation with Multimodal Prompts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.193134Z

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Observation 9177a481-ea0a-47c4-bb3c-b158a60b56fe · outbound

This paper cites Segment Anything.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Segment Anything

Reference 36

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Observation 65cf1253-22de-4e62-8a98-264988fc72db · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.324886Z

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Observation 68837f12-c908-495f-b6bb-d9170cb052a1 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.394021Z

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Observation b3d3f192-855f-4476-9e03-eedaec392207 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Behavior-1k: A benchmark for embodied ai with 1,000 ev- eryday activities and realistic simulation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.468992Z

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Observation ebc8f8a7-6d31-4b44-b8b3-bbad4f0e1b1b · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Vision-Language Foundation Models as Effective Robot Imitators

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.575868Z

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Observation fc24be92-cc92-4975-9336-e082e702db44 · outbound

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

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.609772Z

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Observation 834884a6-b7da-4954-9010-1755546380ad · outbound

This paper cites Code as policies: Language model programs for embodied control.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Code as policies: Language model programs for embodied control

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.701613Z

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Observation c1d7077c-9c6b-488a-9acf-cd448285f4bf · outbound

This paper cites Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36, 2024.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.706774Z

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Observation 82bfbe20-4ea6-421d-a789-a32169ce83ad · outbound

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

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Moka: Open-vocabulary robotic manipulation through mark-based visual prompting

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.751966Z

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Observation 4d3c53d7-f540-4419-a0fc-bfd8ece47cee · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Zero-1-to- 3: Zero-shot one image to 3d object

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.840480Z

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Observation fa66c84f-c25a-41e7-928b-9a61afb10d11 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:09.941516Z

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Observation 2cf78bc7-600e-4133-9597-eac5e271e9f9 · outbound

This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.018884Z

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Observation 0256e076-13c5-4901-9752-4f713e0d10eb · outbound

This paper cites Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manip- ulation tasks.IEEE Robotics and Automation Letters, 7(3): 7327–7334, 2022.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manip- ulation tasks.IEEE Robotics and Automation Letters, 7(3): 7327–7334, 2022

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.061068Z

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Observation d94732b8-e63a-4438-ae42-2ddfe86d2beb · outbound

This paper cites Simple open-vocabulary object detection.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Simple open-vocabulary object detection

Reference 49

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Observation 9b580a6b-f0ac-402d-bd69-cefbf422110f · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.262973Z

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Observation e4e0a8ee-085b-42ef-b593-aaae1ee2491b · outbound

This paper cites Pivot: Itera- tive visual prompting elicits actionable knowledge for vlms.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Pivot: Itera- tive visual prompting elicits actionable knowledge for vlms

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.594825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90e515f7-4f09-47dd-9167-52d35cdc4f75 · outbound

This paper cites Octo: An open-source generalist robot policy.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Octo: An open-source generalist robot policy

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.582211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d93f4eac-d7d6-4204-a349-be0be4e47ce6 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 53

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Observation 79d99234-ec30-4418-99e3-e04299e1265b · outbound

This paper cites GPT-4 Technical Report.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation GPT-4 Technical Report

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.558832Z

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Observation bc7e8207-af92-43ce-8de4-2b23cecd6dae · outbound

This paper cites THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.598519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01338251-9136-4df7-923e-42728e40935c · outbound

This paper cites Keto: Learning keypoint representations for tool manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Keto: Learning keypoint representations for tool manipulation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.645112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57a6c25-9b2d-4f17-a29b-d06dd4eabe8c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Learning transferable visual models from natural language supervi- sion

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.738596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14d933d-5d0f-4122-b732-cfbfb87e1e5f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation SAM 2: Segment Anything in Images and Videos

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.858849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c1ff37-12cc-4f3d-be7d-0f4630a9e4b8 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:10.921465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40665f0-ad48-41d7-bcd5-c28293869d31 · outbound

This paper cites Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.552482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2e88cba-2c0d-4f92-a699-31dea03dde23 · outbound

This paper cites Alfred: A benchmark for interpreting grounded instructions for everyday tasks.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Alfred: A benchmark for interpreting grounded instructions for everyday tasks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.540018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 628cd259-d6b2-4520-b18a-6d68abbdfba3 · outbound

This paper cites Cliport: What and where pathways for robotic manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Cliport: What and where pathways for robotic manipulation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.170009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5277652e-5a0f-4ce4-925c-ac462aca1a86 · outbound

This paper cites Perceiver- actor: A multi-task transformer for robotic manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Perceiver- actor: A multi-task transformer for robotic manipulation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.519405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d66f160d-33b8-4cbe-ac89-b41817523580 · outbound

This paper cites Open-World Object Manipulation using Pre-trained Vision-Language Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Open-World Object Manipulation using Pre-trained Vision-Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.391124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbbaf3a-e6b7-4e39-b31a-4fc0515692b6 · outbound

This paper cites Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.569241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5041262-c20d-441a-aae7-4f8043630952 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Domain randomization for transferring deep neural networks from simulation to the real world

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.507051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be65a9d9-51ed-40fd-b761-28e5e6b9c1d9 · outbound

This paper cites Robotap: Tracking arbitrary points for few-shot visual imitation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Robotap: Tracking arbitrary points for few-shot visual imitation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.729633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2fccbe-2af8-4d9e-98d3-14afc41b1582 · outbound

This paper cites GRUtopia: Dream General Robots in a City at Scale.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation GRUtopia: Dream General Robots in a City at Scale

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:11.814197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a873c8a-9e78-494d-80e5-0b144011948d · outbound

This paper cites Goal-auxiliary actor-critic for 6d robotic grasp- ing with point clouds.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Goal-auxiliary actor-critic for 6d robotic grasp- ing with point clouds

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.486221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97428efc-ef24-4e4d-bfcd-311c6dfe0685 · outbound

This paper cites GenSim: Generating Robotic Simulation Tasks via Large Language Models.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation GenSim: Generating Robotic Simulation Tasks via Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.054993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3551655b-03cb-467c-8764-e2651764ea5b · outbound

This paper cites Any-point Trajectory Modeling for Policy Learning.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Any-point Trajectory Modeling for Policy Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.170933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84556921-bde2-41ad-b260-c3a40eea619d · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.308337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d7714c-a152-43a2-9e8d-d8d85e2efaf0 · outbound

This paper cites Sapien: A simulated part-based interactive environment.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Sapien: A simulated part-based interactive environment

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.473606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b890839f-8646-4a0a-9d47-10a422ce9f53 · outbound

This paper cites Flow as the cross-domain manipulation interface.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Flow as the cross-domain manipulation interface

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.461621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb7bc328-be32-4553-8f89-6df636db2070 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.492921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e025c7d8-1fd6-4386-bc00-70e040889545 · outbound

This paper cites General Flow as Foundation Affordance for Scalable Robot Learning.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation General Flow as Foundation Affordance for Scalable Robot Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.613817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822ca968-e8f6-4d95-9ddf-8cea73989b70 · outbound

This paper cites RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.693223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b826cab-c762-41ce-80bb-86efa507b5b3 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.774293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62935ad-ef49-4001-bc89-d3c25fce063b · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipu- lation.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Transporter networks: Rearranging the visual world for robotic manipu- lation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.449921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 188daa05-9857-43f1-b471-62cdaa76dc88 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:12.984162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd30194-1779-4faf-b82e-df15d29d93b5 · outbound

This paper cites Vlmbench: A compositional benchmark for vision-and-language manipulation.Advances in Neural In- formation Processing Systems, 35:665–678, 2022.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Vlmbench: A compositional benchmark for vision-and-language manipulation.Advances in Neural In- formation Processing Systems, 35:665–678, 2022

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.438263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de1915ac-7503-40cb-a939-a6a32bd93da4 · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.426619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 059f0616-3b25-4ea3-9ebf-c5fcc13e6605 · outbound

This paper cites Camera setups for modular manipulation systems and learning-based methods in GENMANIP-BENCH.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Camera setups for modular manipulation systems and learning-based methods in GENMANIP-BENCH

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.415390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df54b8f6-50a6-4e94-a9de-c4c17415ac86 · outbound

This paper cites instruction.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation instruction

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.403890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e44a56d3-4eb4-4dbb-a807-ffaadfb7df35 · outbound

This paper cites Algorithm 1 Layout construction pipeline.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Algorithm 1 Layout construction pipeline

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.392787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 753f2459-402d-4519-8968-4025fe7713a0 · outbound

This paper cites Human annotators, with privileged access to the scene graph and USD files, use IsaacSim for detailed inspections.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Human annotators, with privileged access to the scene graph and USD files, use IsaacSim for detailed inspections

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.381342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 518e912b-4d2e-4c95-8360-92caf31d35c2 · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 88

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T04:17:14.369965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b175ad91-e44c-4d42-bc36-6daa99598d3c · outbound

This paper cites Figure 8.Human-in-the-Loop corrections of benchmark scenarios.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Figure 8.Human-in-the-Loop corrections of benchmark scenarios

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.357790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a98163c-f5ef-49da-8023-f3dd6f2013ab · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.346468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70cd6369-73ef-46cd-9784-2f50782f76fc · outbound

This paper cites Following the approach of Mimicgen [47], we collect primitive skills from human teleoperation trajectories for these articulated objects, as illustrated in Figure A- 11.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Following the approach of Mimicgen [47], we collect primitive skills from human teleoperation trajectories for these articulated objects, as illustrated in Figure A- 11

Reference 91

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:17:14.331816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 058e3cdf-1893-4530-aab6-7694804084f0 · outbound

This paper cites The BC data collection pipeline is shown in Figure A- 12.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation The BC data collection pipeline is shown in Figure A- 12

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.319510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11636d71-9baa-4526-a1e2-3070b3aa8a31 · outbound

This paper cites In this section, we detail the method for determining spatial relationships among these point clouds, encompassing horizontal, vertical, and multi-object interactions.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation In this section, we detail the method for determining spatial relationships among these point clouds, encompassing horizontal, vertical, and multi-object interactions

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.307767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c6276f3-ad12-4eba-b53e-789c8bc5fa55 · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.295837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd24eb1c-ff23-4de8-ba33-80fb8292ef0c · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.284234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29212170-27de-4579-99c7-fde7ae56be8b · outbound

This paper cites The possible horizontal relationships are: •Left-Right: This relationship is determined when the point clouds overlap along the X-axis but not the Y-axis.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation The possible horizontal relationships are: •Left-Right: This relationship is determined when the point clouds overlap along the X-axis but not the Y-axis

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.272801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 562a35ad-ee4d-4790-aab2-40c0b13acc1b · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.260915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34994c6e-62ed-4d3d-a7ad-76b21cf3ebe4 · outbound

This paper cites •Supporting/Supported by: If the objects are in contact or near each other, the function checks if one object supports the other based on the overlap area ratio.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation •Supporting/Supported by: If the objects are in contact or near each other, the function checks if one object supports the other based on the overlap area ratio

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:14.249156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e13d5166-b9b1-4a6d-a037-55c715549818 · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.236863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84d0fa3b-461b-4866-b067-1b9e83c7d51f · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.224157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d861826-0561-404e-b7e2-1a06b13d3dbb · outbound

This paper cites an unresolved cited work.

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation Unresolved cited work

Reference 101

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:17:14.211737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers