SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks | Paper Citation Record

Observation e19ec2f7-38ca-407d-87ce-cbeaff72d213 · outbound

This paper cites Introducing claude opus 4.5.https://www.anthropic.com/news/claude-opus-4-5, 2025.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Introducing claude opus 4.5.https://www.anthropic.com/news/claude-opus-4-5, 2025

Reference 1

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Observation 9c66e2c6-d9d5-4130-b27c-cbd96bf48858 · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Scanqa: 3d question answering for spatial scene understanding

Reference 2

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Observation b7d38452-163f-4b8e-893e-4b9bf688b039 · outbound

This paper cites Qwen2.5-vl technical report,.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Qwen2.5-vl technical report,

Reference 3

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Observation f66a7bef-b29a-450e-888c-b40a0bdbe18e · outbound

This paper cites Qwen2.5-VL Technical Report.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Qwen2.5-VL Technical Report

Reference 4

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Observation f421a06f-5405-4497-aec1-c48a90d8a332 · outbound

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

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 5

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Observation 355f85ad-613a-4f62-b0ee-dd78a9934bf3 · outbound

This paper cites Seed2.0, 2026.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Seed2.0, 2026

Reference 6

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Observation d520075e-3622-4749-b350-114a78798bb0 · outbound

This paper cites Scaling spatial intelligence with multimodal foundation models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Scaling spatial intelligence with multimodal foundation models

Reference 7

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Observation f886e9f8-1cbc-460d-b9f4-95836b54f964 · outbound

This paper cites Has gpt-5 achieved spatial intelligence? an empirical study.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Has gpt-5 achieved spatial intelligence? an empirical study

Reference 8

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Observation b60b1f06-9489-4891-be2e-2bbb9c5e9fb1 · outbound

This paper cites Spider2-v: How far are multi- modal agents from automating data science and engineering workflows?Advances in Neural Information Processing Systems, 37:107703–107744, 2024.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Spider2-v: How far are multi- modal agents from automating data science and engineering workflows?Advances in Neural Information Processing Systems, 37:107703–107744, 2024

Reference 9

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Observation 282f1d41-ddf1-4534-9ee6-c80143644165 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 10

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Observation 70485e45-96d9-4d73-af6f-bcdc83d9b780 · outbound

This paper cites Robogpt: an llm-based long-term decision-making embodied agent for instruction following tasks.IEEE Transactions on Cognitive and Developmental Systems, 2025.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Robogpt: an llm-based long-term decision-making embodied agent for instruction following tasks.IEEE Transactions on Cognitive and Developmental Systems, 2025

Reference 11

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Observation 4cc676b1-2f72-46a1-9140-b6a3be5cac7e · outbound

This paper cites EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents

Reference 12

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Observation 95f6c51d-73b5-43a5-b907-d6a099730053 · outbound

This paper cites Gemini 3 pro best for complex tasks and bringing creative concepts to life.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gemini 3 pro best for complex tasks and bringing creative concepts to life

Reference 13

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This paper cites Proc- thor: Large-scale embodied AI using procedural generation.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Proc- thor: Large-scale embodied AI using procedural generation

Reference 14

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Observation 490fab34-15f3-4c17-bb02-7553be026abf · outbound

This paper cites Carla: An open urban driving simulator.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Carla: An open urban driving simulator

Reference 15

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Observation 437053b7-29fa-4d35-af72-a8c6b716f2b6 · outbound

This paper cites Palm-e: an embodied multimodal language model.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Palm-e: an embodied multimodal language model

Reference 16

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Observation ab5f3e42-3b70-4dca-82ef-2a13b1f33127 · outbound

This paper cites Embspatial-bench: Benchmarking spatial understanding for embodied tasks with large vision-language models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Embspatial-bench: Benchmarking spatial understanding for embodied tasks with large vision-language models

Reference 17

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Observation 22d25092-d524-4f01-ab54-53ee1e75f7e7 · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 18

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Observation 8b3900d9-8a1d-4a28-afd3-3a29b74e65a3 · outbound

This paper cites Vlm-gronav: Robot naviga- tion using physically grounded vision-language models in outdoor environments.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Vlm-gronav: Robot naviga- tion using physically grounded vision-language models in outdoor environments

Reference 19

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Observation bad98602-e31d-453c-a353-99be9a3793c6 · outbound

This paper cites Minedojo: Building open-ended embodied agents with internet-scale knowledge.Advances in Neural Information Processing Systems, 35:18343–18362, 2022.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Minedojo: Building open-ended embodied agents with internet-scale knowledge.Advances in Neural Information Processing Systems, 35:18343–18362, 2022

Reference 20

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Observation 4a70c945-6d58-4446-8d2b-ec4e86e6c48d · outbound

This paper cites Videoagent: A memory-augmented multimodal agent for video understanding.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Videoagent: A memory-augmented multimodal agent for video understanding

Reference 21

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Observation 99aeff15-ca31-49d5-9d8f-ec285f719cc9 · outbound

This paper cites EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment

Reference 22

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Observation 904e2b40-3fee-4344-9257-618725ee1d69 · outbound

This paper cites Spatial reasoning with vision-language models in ego-centric multi-view scenes.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Spatial reasoning with vision-language models in ego-centric multi-view scenes

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Observation a66b4439-5621-4308-bdb7-0f430c52ce57 · outbound

This paper cites Seed1.5-VL Technical Report.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Seed1.5-VL Technical Report

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Observation e558c513-fe5f-47b4-9d07-c872f0cba296 · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 25

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This paper cites Cogagent: A visual language model for gui agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Cogagent: A visual language model for gui agents

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Observation f58e2aa4-ffbb-43da-b36e-23e0596ffde8 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

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Observation 201398b8-5fd3-43ff-9d82-33be8351ed0d · outbound

This paper cites 3d concept learning and reasoning from multi-view images.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks 3d concept learning and reasoning from multi-view images

Reference 28

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This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gqa: A new dataset for real-world visual reasoning and compositional question answering

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Observation c0a17fe4-11fb-4d73-9ca2-553efb806878 · outbound

This paper cites OmniSpatial: Towards comprehensive spatial reasoning benchmark for vision language models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks OmniSpatial: Towards comprehensive spatial reasoning benchmark for vision language models

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Observation 0ba344a5-5b0b-45f8-adc4-bea208ebcc72 · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

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This paper cites Visualwebarena: Evaluating multimodal agents on realistic visual web tasks.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

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SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks AI2-THOR: An Interactive 3D Environment for Visual AI

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Observation c5769039-0a8d-443a-be16-af765d62c9b4 · outbound

This paper cites AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory

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Observation d883ac61-6992-4006-8511-d1557f1e8af1 · outbound

This paper cites iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

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Observation 5b0fd86d-b567-49ba-a5e0-9faa1c78e798 · outbound

This paper cites Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

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Observation 33d6404e-0cbb-4f70-9f7c-e847df3e248b · outbound

This paper cites M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts

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Observation 4493eb09-8c01-489f-86f2-0d0d2b90c1a2 · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning

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This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks From System 1 to System 2: A Survey of Reasoning Large Language Models

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Observation fadd6697-439e-4a60-9b06-9cd7213e8244 · outbound

This paper cites Vila: On pre-training for visual language models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Vila: On pre-training for visual language models

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This paper cites Mmsi-video-bench: A holistic benchmark for video-based spatial intelligence.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Mmsi-video-bench: A holistic benchmark for video-based spatial intelligence

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Observation 7faaa7df-a02b-4549-9973-be32c17c1caa · outbound

This paper cites Ost-bench: Evaluating the capabilities of mllms in online spatio-temporal scene understanding.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Ost-bench: Evaluating the capabilities of mllms in online spatio-temporal scene understanding

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Observation 390a2ffa-94be-478f-b236-e0d49b6011c1 · outbound

This paper cites Visual spatial reasoning.Transactions of the Association for Computational Linguistics, 11:635–651, 2023.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Visual spatial reasoning.Transactions of the Association for Computational Linguistics, 11:635–651, 2023

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Observation 9409299b-06ca-4713-86bb-867596d94f2e · outbound

This paper cites Llava-plus: Learning to use tools for creating multimodal agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Llava-plus: Learning to use tools for creating multimodal agents

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Observation 4463b37a-7455-440d-b0ce-ba3746587120 · outbound

This paper cites Spatial reasoning in multimodal large language models: A survey of tasks, benchmarks and methods.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Spatial reasoning in multimodal large language models: A survey of tasks, benchmarks and methods

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Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.687723Z

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Observation 8cc528be-b179-4200-b688-23ea88a620e4 · outbound

This paper cites SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning

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Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.607933Z

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Observation 2edc5e87-a03e-4724-8dd3-17f7e341d694 · outbound

This paper cites 3DSRBench: A comprehensive 3D spatial reasoning benchmark.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks 3DSRBench: A comprehensive 3D spatial reasoning benchmark

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Observation e3bbb6fe-fb9b-44d0-8d3b-509856a63db1 · outbound

This paper cites SQA3D: Situated Question Answering in 3D Scenes.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks SQA3D: Situated Question Answering in 3D Scenes

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Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.647837Z

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Observation 52e7fa26-025b-4aa9-b779-206c23cbe5ae · outbound

This paper cites Introducing gpt-5.2.https://openai.com/index/introducing-gpt-5-2/, 2025.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Introducing gpt-5.2.https://openai.com/index/introducing-gpt-5-2/, 2025

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Observation 7fc78741-d1e9-457b-8856-4f4cdde1eb20 · outbound

This paper cites Gpt -5.4 thinking system card, 2026.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gpt -5.4 thinking system card, 2026

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Observation e57cfd88-4ad6-49ce-b2c1-0c25249a8f5d · outbound

This paper cites VirtualHome: SimulatingHouseholdActivitiesViaPrograms.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks VirtualHome: SimulatingHouseholdActivitiesViaPrograms

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-27T16:41:03.041882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 716a930f-e5ec-463b-87f8-6fa3ecfa264c · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.670960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8be52b7c-ecef-4d84-97a5-41d585b2d87f · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.659784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5e1b9ed-7880-456f-8f2f-c6e270ddbd85 · outbound

This paper cites Habitat: A platform for embodied ai research.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Habitat: A platform for embodied ai research

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6136a1-e4e2-4bf0-b42c-b023e1276659 · outbound

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

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks ALFRED: A benchmark for interpreting grounded instructions for everyday tasks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730ebfde-bd4a-4a2d-912c-fb186366aa0d · outbound

This paper cites OpenAI GPT-5 System Card.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks OpenAI GPT-5 System Card

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.684772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37545a29-3088-4d74-88eb-b82e4ada0810 · outbound

This paper cites Corso, and Eric Sax.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Corso, and Eric Sax

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.635879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 261c5356-9983-4d93-b8bb-a3696dff785a · outbound

This paper cites Gemini 3 pro: the frontier of vision ai, 2025b.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gemini 3 pro: the frontier of vision ai, 2025b

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

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Observation 7e6567fb-826a-42d5-bf77-390d819a8e1a · outbound

This paper cites Gemini 3 flash, 2025b.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gemini 3 flash, 2025b

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682748b4-3303-4ab4-969c-23004fdc38be · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gemini: A Family of Highly Capable Multimodal Models

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.650444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f504f61-0745-49ee-a3b9-7063321a9ba5 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.690088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e1e8a3a-1162-4726-89c9-471d29186c50 · outbound

This paper cites Glm-4.6v: Open source multimodal models with native tool use, 2025a.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Glm-4.6v: Open source multimodal models with native tool use, 2025a

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e77ae3-82e5-426a-bb9f-e5f6c8b2ce78 · outbound

This paper cites Kimi-VL Technical Report.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Kimi-VL Technical Report

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.679664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 608bc7a3-0356-43cf-9214-46a9e2e05c9d · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Kimi K2.5: Visual Agentic Intelligence

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.673556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76141400-ff9a-43f4-b460-a978f86dd3ba · outbound

This paper cites Qwen3.5: Accelerating productivity with native multimodal agents, February.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Qwen3.5: Accelerating productivity with native multimodal agents, February

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f265a7-e397-4ef6-9d3d-6aed2eec7870 · outbound

This paper cites an unresolved cited work.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

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Observation 3b536508-5ced-4349-901c-1d1cfa4170e4 · outbound

This paper cites UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.662721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc543fad-a748-4ef5-882d-5a3642b2d122 · outbound

This paper cites Is a picture worth a thousand words? delving into spatial reasoning for vision language models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Is a picture worth a thousand words? delving into spatial reasoning for vision language models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435b9a5a-a0f0-486c-b535-5ecca914db45 · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.628006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21213f33-8e68-4f38-aa59-41b378b34bf4 · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.668210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4966711e-80b7-4215-ae12-4ddab166b700 · outbound

This paper cites SITE: Towards spatial intelligence thorough evaluation.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks SITE: Towards spatial intelligence thorough evaluation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b95a30a8-a914-455c-a66f-bed685e87999 · outbound

This paper cites Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.Advances in Neural Information Processing Systems, 37:2686–2710, 2024a.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.Advances in Neural Information Processing Systems, 37:2686–2710, 2024a

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.602431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c35a0f5-bc28-4e26-a091-49f7a7036520 · outbound

This paper cites SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.583555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30b9fc91-27f8-4b12-8a65-e9f40ce592be · outbound

This paper cites Gibson env: Real-world perception for embodied agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Gibson env: Real-world perception for embodied agents

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9384b297-522b-47a9-b872-689bf72615bb · outbound

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

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Sapien: A simulated part-based interactive environ- ment

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

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Observation a0fa33ef-b1e2-44be-a90e-0a4a59c37316 · outbound

This paper cites Large Multimodal Agents: A Survey.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Large Multimodal Agents: A Survey

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.599891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23390021-1232-4d1f-8378-e34d27642b40 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094, 2024.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094, 2024

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f60c5b8-8177-45be-a72d-bd80e57f6758 · outbound

This paper cites SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.644667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8eeb98d-69b3-4123-b257-cc669f1713e9 · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Pointllm: Empowering large language models to understand point clouds

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e37bb14-aaaf-485c-837b-d1260cde98ac · outbound

This paper cites Qwen3 Technical Report.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Qwen3 Technical Report

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.656994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16fb1da4-b107-451d-a9e8-9f658e839d15 · outbound

This paper cites Thinking in space: How multimodal large language models see, remember, and recall spaces.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Thinking in space: How multimodal large language models see, remember, and recall spaces

Reference 81

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4bdfe65-5a21-4455-9f69-007194d073a2 · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.613186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c0d1755-532a-4557-9ae5-bda7c82698d9 · outbound

This paper cites MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.641550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1cca129d-e0bc-4fd0-8e6c-0255cea06803 · outbound

This paper cites Drivearena: A closed-loop generative simulation platform for autonomous driving.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Drivearena: A closed-loop generative simulation platform for autonomous driving

Reference 84

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffc97cb-c8d0-412c-af02-d858758f39c9 · outbound

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

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ddff7b5-55cb-44d7-8fe0-8bc68c1087ed · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.610598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 26ed2b1d-1f73-49cf-9e10-c90681737d50 · outbound

This paper cites VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.622739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2dd119b8-baaf-4135-a0e9-9f9daf40e8aa · outbound

This paper cites Thyme: Think Beyond Images.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Thyme: Think Beyond Images

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.578474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 675f39fe-051c-432c-ad1a-7f5a508eb2c5 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.625350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 976c17db-01b1-48af-825c-55d53e007d73 · outbound

This paper cites Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:27:30.630444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75ee56c0-637b-4033-af2f-4716bda53048 · outbound

This paper cites LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

Reference 91

Resolution: malformed identifier; arxiv_id, observed 2026-07-03T01:27:30.682419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b870de9b-894b-492f-9077-6e0e1b349423 · outbound

This paper cites an unresolved cited work.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf7a7c7-f8ea-4dde-97ac-e4a64d326be7 · outbound

This paper cites As introduced in Section 2.3, this interface abstracts raw backend commands into high-level text primitives to form a unified MLLM-native action space.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks As introduced in Section 2.3, this interface abstracts raw backend commands into high-level text primitives to form a unified MLLM-native action space

Reference 93

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4b8ee3-f5a1-47ee-8a26-aaa2958fef65 · outbound

This paper cites Step sizes vary by environment: AI2-THOR / Proc- THOR / VirtualHome use Small = 0.25 m, Medium = 0.5 m, Large = 1 m.

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Step sizes vary by environment: AI2-THOR / Proc- THOR / VirtualHome use Small = 0.25 m, Medium = 0.5 m, Large = 1 m

Reference 94

Resolution: unresolved; no resolver link, observed 2026-06-27T16:35:14.099586Z

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Pith citing papers