MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images | Paper Citation Record

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MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Unresolved cited work

Reference 2

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Observation 94e10a9f-6b82-451b-a339-8de016a6fb1e · outbound

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

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Scanqa: 3d question answering for spatial scene understanding

Reference 3

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Observation 12207c0e-8757-48fe-8568-fd461fa8b6be · outbound

This paper cites Qwen2.5-VL Technical Report.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Qwen2.5-VL Technical Report

Reference 4

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

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This paper cites Omni3d: A large benchmark and model for 3d object detection in the wild.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Omni3d: A large benchmark and model for 3d object detection in the wild

Reference 6

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Observation 89fc6ba7-bae3-419e-9de8-09a4738a8d4a · outbound

This paper cites SpatialBot: Precise Spatial Understanding with Vision Language Models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images SpatialBot: Precise Spatial Understanding with Vision Language Models

Reference 7

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Observation 1c086a39-011b-49a0-9149-adc2640e85c3 · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 8

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Observation 6c6b597c-a254-49e1-ab03-f7a18a027b21 · outbound

This paper cites Perception before reasoning: Two-stage reinforce- ment learning for visual reasoning in vision-language mod- els.arXiv preprint arXiv:2509.13031, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Perception before reasoning: Two-stage reinforce- ment learning for visual reasoning in vision-language mod- els.arXiv preprint arXiv:2509.13031, 2025

Reference 9

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Observation a8942ee0-7dbf-45b9-ac42-d7d87e28b24f · outbound

This paper cites Spatial- rgpt: Grounded spatial reasoning in vision-language models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spatial- rgpt: Grounded spatial reasoning in vision-language models

Reference 10

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Observation 508972a0-ed4b-495d-ad5b-d2c5e2b04dab · outbound

This paper cites Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E

Reference 11

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Observation e73763e9-b8bb-4338-ad19-4d2eadd1c8f7 · outbound

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

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 12

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Observation 72fc96a9-1852-4a86-a0bd-ed1dcd958dde · outbound

This paper cites VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

Reference 13

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Observation eee8f01c-22c9-4336-b728-07c975bf8000 · outbound

This paper cites Surds: Benchmarking spatial understand- ing and reasoning in driving scenarios with vision language models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Surds: Benchmarking spatial understand- ing and reasoning in driving scenarios with vision language models

Reference 14

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Observation ab6ab7ac-37fd-4510-8642-cfb12d71f050 · outbound

This paper cites 3d-llm: Inject- ing the 3d world into large language models.NeurIPS, 2023.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images 3d-llm: Inject- ing the 3d world into large language models.NeurIPS, 2023

Reference 15

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Observation 909bc398-84c5-4dd4-b423-b1ccc8b10f08 · outbound

This paper cites What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images What’s ”up” with vision-language models? investigating their strug- gle with spatial reasoning

Reference 16

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Observation 346095bd-61b2-48d3-81e5-e9db8400d8db · outbound

This paper cites Lee, Jihyeon Je, Chanho Park, Mikaela Angelina Uy, Leonidas Guibas, and Minhyuk Sung.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Lee, Jihyeon Je, Chanho Park, Mikaela Angelina Uy, Leonidas Guibas, and Minhyuk Sung

Reference 17

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Observation 532c478c-b7da-43c5-85d3-6ad7c014b912 · outbound

This paper cites Seed-bench: Bench- marking multimodal large language models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Seed-bench: Bench- marking multimodal large language models

Reference 18

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Observation cee1622d-630d-4358-9580-72b51b92f0c4 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

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Observation 95c1dadc-6fda-4c81-8d38-d9f20f4b0ee3 · outbound

This paper cites Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models, 2025

Reference 20

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Observation cd0f1fc6-39d2-4a64-b2c2-0c78d649dc57 · outbound

This paper cites Visual Instruction Tuning.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Visual Instruction Tuning

Reference 21

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Observation 8761fb1f-1515-494e-9010-dd67e17c3095 · outbound

This paper cites Spatialladder: Progressive train- ing for spatial reasoning in vision-language models, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spatialladder: Progressive train- ing for spatial reasoning in vision-language models, 2025

Reference 22

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Observation f54e9786-4ca9-4ced-b037-d896d0b231c2 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 23

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Observation a2d028f0-fe31-4c10-8379-6933e4834c96 · outbound

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MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Unresolved cited work

Reference 24

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Observation 65d6b3ed-76fc-44a4-bc01-4fb57d4847a8 · outbound

This paper cites A Novel Multi-Agent Deep RL Approach for Traffic Signal Control.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images A Novel Multi-Agent Deep RL Approach for Traffic Signal Control

Reference 25

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Observation 7def5476-984c-4f25-ab84-09af786d2853 · outbound

This paper cites Visual spa- tial reasoning.Transactions of the Association for Computa- tional Linguistics, 11:635–651, 2023.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Visual spa- tial reasoning.Transactions of the Association for Computa- tional Linguistics, 11:635–651, 2023

Reference 26

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Observation e9a6c7f1-deac-4565-833b-e8f48d1b5405 · outbound

This paper cites Grounding dino: Mar- rying dino with grounded pre-training for open-set object 10 detection.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Grounding dino: Mar- rying dino with grounded pre-training for open-set object 10 detection

Reference 27

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Observation 06e758fc-b272-4fee-b172-b22316866e94 · outbound

This paper cites 3dsrbench: A compre- hensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images 3dsrbench: A compre- hensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024

Reference 28

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Observation 809fd4d9-e63b-4352-8c61-e370e45e891c · outbound

This paper cites Sqa3d: Situated question answering in 3d scenes.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Sqa3d: Situated question answering in 3d scenes

Reference 29

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Observation f5c72476-ad3f-498d-b895-80649dd2dc72 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 30

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Observation 21436383-2142-4cfc-a7ad-c80fe38dfc3b · outbound

This paper cites GPT-4 Technical Report.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images GPT-4 Technical Report

Reference 31

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Observation d48f1012-52dd-4854-80a4-4ad5e0383e39 · outbound

This paper cites Shapellm: Universal 3d object understanding for embodied interaction.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Shapellm: Universal 3d object understanding for embodied interaction

Reference 32

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Observation 50e00068-8775-49a4-9a94-2dbaf0723a35 · outbound

This paper cites Learning transferable visual models from natural language supervision.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Learning transferable visual models from natural language supervision

Reference 33

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Observation 1e11018a-2d3c-4ed3-8394-c1f711d24bc9 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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Observation ec6506ca-7cad-48d3-9bda-080642b9689e · outbound

This paper cites Space3D-Bench: Spatial 3D Question Answering Benchmark.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Space3D-Bench: Spatial 3D Question Answering Benchmark

Reference 35

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Observation b37d4bd3-ca58-4b9d-8dc0-095031994996 · outbound

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

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Gemini: A Family of Highly Capable Multimodal Models

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Observation 0ed634ff-f6e0-4037-8e01-a0acee736260 · outbound

This paper cites NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 37

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Observation e059e4b6-49a5-44ef-bc97-727183fc8bdf · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images LLaMA: Open and Efficient Foundation Language Models

Reference 38

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Observation df08ed63-aad8-4ade-8dee-f858468399a6 · outbound

This paper cites Cross-modal pro- jection in multimodal llms doesn’t really project visual at- tributes to textual space.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Cross-modal pro- jection in multimodal llms doesn’t really project visual at- tributes to textual space

Reference 39

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Observation 2e583bfd-8301-48ac-8aa6-092681b606bb · outbound

This paper cites Learning 3d semantic scene graphs from 3d indoor reconstructions.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Learning 3d semantic scene graphs from 3d indoor reconstructions

Reference 40

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Observation a4a5cb51-d025-44e9-b5f3-a00c59a9361b · outbound

This paper cites Is a picture worth a thou- sand words? delving into spatial reasoning for vision lan- guage models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Is a picture worth a thou- sand words? delving into spatial reasoning for vision lan- guage models

Reference 41

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Observation 7acbe468-8842-49d1-99d4-ca4dfe6618ae · outbound

This paper cites Spatial 3d-llm: Exploring spatial awareness in 3d vision-language models,.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spatial 3d-llm: Exploring spatial awareness in 3d vision-language models,

Reference 42

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Observation 04f4922f-24b2-44f6-bfe3-9389f52a9375 · outbound

This paper cites Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

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Observation 0373d929-38c4-4c28-a8b6-d3554f1e5416 · outbound

This paper cites Pointllm: Empowering large lan- guage models to understand point clouds.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Pointllm: Empowering large lan- guage models to understand point clouds

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Observation 45090bbc-c81e-4083-83e5-efdd44782115 · outbound

This paper cites Gupta, Rilyn Han, Li Fei-Fei, and Saining Xie.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Gupta, Rilyn Han, Li Fei-Fei, and Saining Xie

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Observation 4ec212f5-83fa-4cbb-89f0-582422b9b7eb · outbound

This paper cites Open-vocabulary object detection using cap- tions.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Open-vocabulary object detection using cap- tions

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Observation 09b0e65d-2a0c-49e7-8238-0a0cd844b2c7 · outbound

This paper cites How to enable llm with 3d capacity? a survey of spatial reasoning in llm, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images How to enable llm with 3d capacity? a survey of spatial reasoning in llm, 2025

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Observation 1d04de49-7abf-40cc-ad8c-ccefd429fd3c · outbound

This paper cites From flatland to space: Teaching vision-language models to perceive and reason in 3d.arXiv preprint arXiv:2503.22976, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images From flatland to space: Teaching vision-language models to perceive and reason in 3d.arXiv preprint arXiv:2503.22976, 2025

Reference 48

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Observation 904bbdd2-6d8e-42bc-9365-6868345a91a9 · outbound

This paper cites Spinbench: Perspective and rotation as a lens on spatial reasoning in vlms, 2025.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Spinbench: Perspective and rotation as a lens on spatial reasoning in vlms, 2025

Reference 49

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This paper cites Video-3d llm: Learning position-aware video representation for 3d scene understanding.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Video-3d llm: Learning position-aware video representation for 3d scene understanding

Reference 50

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Observation b94a55ac-cab6-4579-8625-16871717526a · outbound

This paper cites Scanreason: Empowering 3d visual grounding with reasoning capabilities.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Scanreason: Empowering 3d visual grounding with reasoning capabilities

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Observation f65d7cbe-43bc-4dbc-a2d9-6e2a7126a51f · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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Observation 9d293d6a-d7db-4986-a1e2-6b7bd44fcead · outbound

This paper cites A detailed description of each level and its cor- responding tasks is provided below.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images A detailed description of each level and its cor- responding tasks is provided below

Reference 53

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This paper cites Specifically, after obtaining high-quality raw data through filtering, we generate image captions and construct scene graphs to serve as our underlying database.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Specifically, after obtaining high-quality raw data through filtering, we generate image captions and construct scene graphs to serve as our underlying database

Reference 54

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Observation f1e64af2-c666-458b-a4b7-1e450b6963cc · outbound

This paper cites - {variation_instruction} - The rewritten question MUST include: (a) A brief motivation clause describing WHY we need this information, consistent with the motivation hint.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images - {variation_instruction} - The rewritten question MUST include: (a) A brief motivation clause describing WHY we need this information, consistent with the motivation hint

Reference 55

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Observation 591aa810-2306-491a-b5ac-fbdda1f876b0 · outbound

This paper cites - {answer_constraint} - {task_extra} - You MUST NOT flip yesno.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images - {answer_constraint} - {task_extra} - You MUST NOT flip yesno

Reference 56

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Observation 39a5c178-0457-4ead-b97f-b774b381fd20 · outbound

This paper cites thinking.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images thinking

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.030558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab6194a-8858-4083-bc70-cf1d59d2870e · outbound

This paper cites Scene In- formation adds global context, 2D Visual Prompts improve local grounding, and 3D Bounding Boxes deliver the largest gains through explicit geometric structure.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Scene In- formation adds global context, 2D Visual Prompts improve local grounding, and 3D Bounding Boxes deliver the largest gains through explicit geometric structure

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.090253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b027e5a3-9197-4b17-93b2-27c3c38441ef · outbound

This paper cites For the 3D bounding box information, each object is rep- resented by its center coordinates, spatial dimensions (size), and orientation expressed as a rotation quaternion.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images For the 3D bounding box information, each object is rep- resented by its center coordinates, spatial dimensions (size), and orientation expressed as a rotation quaternion

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.171986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e8e8b5-5ad3-4d78-8169-69fca60a2b03 · outbound

This paper cites All inputs are processed with the officialQwen2.5-VLprocessor, which supports dy- namic image resolutions up to 262,144 pixels (512×512).

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images All inputs are processed with the officialQwen2.5-VLprocessor, which supports dy- namic image resolutions up to 262,144 pixels (512×512)

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.262429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a9de49-fc95-4dfc-8e96-9391fe0f4693 · outbound

This paper cites - Use the format <obj>...</obj> to describe your mapping between textual entities and object IDs.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images - Use the format <obj>...</obj> to describe your mapping between textual entities and object IDs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.358583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5c9776-80e7-4524-8b8f-cb623da6ca9e · outbound

This paper cites an unresolved cited work.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.429529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1117f2-1d56-48f4-9935-77abe67ff869 · outbound

This paper cites Your output format should strictly follow: <obj> Object mapping: - entity_1 object {id_a} ({caption_a}) - entity_2 object {id_b} </obj> <reasoning>.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images Your output format should strictly follow: <obj> Object mapping: - entity_1 object {id_a} ({caption_a}) - entity_2 object {id_b} </obj> <reasoning>

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:58.579422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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