Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding | Paper Citation Record

Observation aeb6dbff-f449-4e49-b91a-9442bef094cc · outbound

This paper cites ReferIt3D: Neural Listen- ers for Fine-Grained 3D Object Identification in Real-World Scenes.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding ReferIt3D: Neural Listen- ers for Fine-Grained 3D Object Identification in Real-World Scenes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.183649Z

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Observation 1d6a1d8e-9086-4208-94a4-ffcdb6f39801 · outbound

This paper cites Llama 3: The llama-3 herd of models.https: //ai.meta.com/llama/, 2024.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Llama 3: The llama-3 herd of models.https: //ai.meta.com/llama/, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.165375Z

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Observation 2705b699-df6a-4def-ba9e-90ca31a5b5a5 · outbound

This paper cites Locate 3d: Real-world ob- ject localization via self-supervised learning in 3d, 2025.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Locate 3d: Real-world ob- ject localization via self-supervised learning in 3d, 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.148181Z

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Observation bf16414f-d807-45ae-885d-41f2b0be43cc · outbound

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

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Scanqa: 3d question answering for spatial scene understanding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.129808Z

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Observation a53fa677-6872-40d5-97c4-0fd172862f17 · outbound

This paper cites an unresolved cited work.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-08T04:27:30.112824Z

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Observation 07d077cc-e702-40ff-b6d3-9e1d824d8e99 · outbound

This paper cites Token merging: Your ViT but faster.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Token merging: Your ViT but faster

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.095012Z

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Observation 0c2c2a72-6b94-49ed-823a-92146925c91d · outbound

This paper cites From thousands to billions: 3d visual language grounding via render-supervised distillation from 2d vlms, 2025.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding From thousands to billions: 3d visual language grounding via render-supervised distillation from 2d vlms, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.078294Z

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Observation 558c4219-0243-4c7c-a0e5-5490ec30a8e7 · outbound

This paper cites End- to-End Object Detection with Transformers.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding End- to-End Object Detection with Transformers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.059219Z

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Observation ec62c190-df38-4cbf-8493-7fc304c59ed1 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.761505Z

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Observation 9bb4ba43-8281-40f9-b5dc-512086bd13d1 · outbound

This paper cites ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.039282Z

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Observation ca779a4b-4832-461b-8f06-d871b5697ef7 · outbound

This paper cites Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:30.017462Z

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Observation 619f4d38-021e-4b34-a0e4-bcd3f7a9c974 · outbound

This paper cites Grounded 3D-LLM with Referent Tokens.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Grounded 3D-LLM with Referent Tokens

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.776677Z

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Observation 7196c203-57d3-4550-bb01-9805a5c02bfb · outbound

This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Schwing, Alexan- der Kirillov, and Rohit Girdhar

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.996076Z

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Observation ff2b045f-ce34-4731-8b73-0618518d85e3 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.979160Z

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Observation e479c723-70a6-4685-a861-2e2752513adf · outbound

This paper cites Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface re-integration.ACM Transactions on Graphics 2017 (TOG),.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface re-integration.ACM Transactions on Graphics 2017 (TOG),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.962201Z

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Observation 335a98b9-e5cf-4641-8d30-f44a2c5d3c9b · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.796534Z

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Observation 9d43c921-b730-4e1a-a0e7-c6ff566238d8 · outbound

This paper cites 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,

Reference 17

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Observation 4bcbb5c7-fc2b-41e5-a0ee-43312f09a4b7 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.807289Z

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Observation 0639deb9-e224-41af-832e-f8b83e7fa876 · outbound

This paper cites Chat-scene: Bridging 3d scene and large language models with object identifiers.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Chat-scene: Bridging 3d scene and large language models with object identifiers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.921345Z

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Observation 826b1c76-0114-4b09-a29b-1337a1ccb579 · outbound

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

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding An Embodied Generalist Agent in 3D World

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.816998Z

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Observation da6b087d-9517-436b-b3b5-7d670b149057 · outbound

This paper cites Revisiting multimodal positional encoding in vision-language models, 2026.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Revisiting multimodal positional encoding in vision-language models, 2026

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.904945Z

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Observation dc93f922-558f-492f-95c5-56de9aac65c1 · outbound

This paper cites Reason3d: Searching and reasoning 3d segmentation via large language model.3DV, 2025.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Reason3d: Searching and reasoning 3d segmentation via large language model.3DV, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.887836Z

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Observation 6d18d69e-bbb6-403e-a26e-21a3aeeb3ec8 · outbound

This paper cites Bottom up top down detection transform- ers for language grounding in images and point clouds.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Bottom up top down detection transform- ers for language grounding in images and point clouds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.869456Z

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Observation 00114ae5-a656-48af-af38-86faf6e5ad96 · outbound

This paper cites Odin: A single model for 2d and 3d segmentation.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Odin: A single model for 2d and 3d segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.850869Z

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Observation 1f15f975-3b82-4750-8445-9ef82ff9df72 · outbound

This paper cites Unifying 2d and 3d vision-language un- derstanding, 2025.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unifying 2d and 3d vision-language un- derstanding, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.832652Z

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Observation 6594ca3a-8222-4c0b-9389-eafbf8bf2361 · outbound

This paper cites MDETR - Modulated Detection for End-to-End Multi-Modal Under- standing.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding MDETR - Modulated Detection for End-to-End Multi-Modal Under- standing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.814536Z

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Observation 54add548-3d69-4b75-b0ed-14a7a4c44850 · outbound

This paper cites ReferItGame: Referring to objects in pho- tographs of natural scenes.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding ReferItGame: Referring to objects in pho- tographs of natural scenes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.797281Z

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Observation 4df9d2ee-444b-4b06-8fcf-80a493fc90c8 · outbound

This paper cites Restr: Convolution-free referring image segmentation using transformers, 2022.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Restr: Convolution-free referring image segmentation using transformers, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.780428Z

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

Observation 7a97f72d-02bf-433a-9bf6-2406accc3ba8 · outbound

This paper cites Mask-attention-free transformer for 3d in- stance segmentation.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Mask-attention-free transformer for 3d in- stance segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.862157Z

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Observation 1fbc27d2-3930-4d67-b19e-c3dcb341710d · outbound

This paper cites Lisa: Reasoning segmenta- tion via large language model, 2024.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Lisa: Reasoning segmenta- tion via large language model, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.752413Z

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Observation 2bc1063e-20fe-48e6-a533-28a0ba3899a5 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.872639Z

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Observation 990060e3-85a9-4452-b100-14f7a6892a78 · outbound

This paper cites Grounded language-image pre-training.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Grounded language-image pre-training

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.723467Z

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Observation d6cdb1fe-4044-4bc4-84f5-41148dfb81d4 · outbound

This paper cites 3eed: Ground everything everywhere in 3d.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding 3eed: Ground everything everywhere in 3d

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.702798Z

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Observation fff96ced-d235-4551-8a5b-736904880d32 · outbound

This paper cites Microsoft coco: Common objects in context.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Microsoft coco: Common objects in context

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.682245Z

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Observation 679bd081-9eab-4124-b646-e150e493fdae · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.662921Z

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

Observation 86f5f433-2743-4c66-9336-3161c0ddaef9 · outbound

This paper cites View-on- graph: Zero-shot 3d visual grounding via vision-language reasoning on scene graphs.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding View-on- graph: Zero-shot 3d visual grounding via vision-language reasoning on scene graphs

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.646105Z

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

Observation e7e3f48c-5888-47b3-99cf-02e104416982 · outbound

This paper cites 3d-sps: Single-stage 3d visual grounding via referred point progressive selection.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding 3d-sps: Single-stage 3d visual grounding via referred point progressive selection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.627699Z

Source-reported events for the cited work

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Observation eaa2cf8c-ab49-4f40-9e22-9dd632d5699f · outbound

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

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding SQA3D: Situated Question Answering in 3D Scenes

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.908340Z

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Observation 9f5db08d-fb08-4d91-97e2-a62a87f4d3cf · outbound

This paper cites Goucher, Adam Perelman, Aditya Ramesh, and Aidan Clark et al.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Goucher, Adam Perelman, Aditya Ramesh, and Aidan Clark et al

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.610276Z

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Observation 89d94f3b-0fd8-4117-84e4-7eb4187182f3 · outbound

This paper cites Languagerefer: Spatial-language model for 3d visual grounding.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Languagerefer: Spatial-language model for 3d visual grounding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.918804Z

Source-reported events for the cited work

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Observation 804b1176-f87a-4488-82aa-f34154d5fdb3 · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Language- grounded indoor 3d semantic segmentation in the wild

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.578334Z

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Observation e8181c31-468e-47a5-9aaa-621d58963501 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.558961Z

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Observation e85d7520-83ca-4c62-a919-c53c0a1894e0 · outbound

This paper cites Evaluating zero-shot gpt-4v performance on 3d vi- sual question answering benchmarks, 2024.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Evaluating zero-shot gpt-4v performance on 3d vi- sual question answering benchmarks, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.540015Z

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Observation fb31858b-2724-4037-a0f0-14fc4a0e0baa · outbound

This paper cites Hashimoto.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Hashimoto

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.521967Z

Source-reported events for the cited work

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

Observation e7588881-b2a1-403d-981b-8ab81995c8c4 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2025.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Gemini: A family of highly capable multimodal models, 2025

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.502906Z

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Observation 00d5c209-b687-46ef-930b-6564ef3fe0c7 · outbound

This paper cites an unresolved cited work.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-08T04:27:29.486307Z

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Observation 40bfa89e-34f3-4e62-89db-af3f72fd4069 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.954483Z

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Observation 9dfa92bb-95b8-4e8f-a1ee-e45f1e9792f5 · outbound

This paper cites Realworldqa.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Realworldqa

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.469572Z

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Observation 6889bd48-7bd7-473d-ad12-834ff21fc8c2 · outbound

This paper cites Qwen2.5 Technical Report.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Qwen2.5 Technical Report

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T04:27:28.964720Z

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Observation 73561748-6326-40c7-8411-bbce61381ead · outbound

This paper cites Sat: 2d semantics assisted training for 3d visual grounding.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Sat: 2d semantics assisted training for 3d visual grounding

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.452483Z

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unresolved cited work

Reference 51

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This paper cites Scannet++: A high-fidelity dataset of 3d in- door scenes.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 52

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual refer- ring

Reference 53

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Multi3drefer: Grounding text description to multiple 3d ob- jects

Reference 54

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Towards learning a generalist model for embod- ied navigation

Reference 55

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This paper cites Learning from videos for 3d world: Enhancing mllms with 3d vision geometry priors.arXiv preprint arXiv:2505.24625,.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Learning from videos for 3d world: Enhancing mllms with 3d vision geometry priors.arXiv preprint arXiv:2505.24625,

Reference 56

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Video-3d llm: Learning position-aware video representation for 3d scene understanding

Reference 57

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This paper cites Llava-3d: A simple yet effective pathway to empowering lmms with 3d-awareness, 2024.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Llava-3d: A simple yet effective pathway to empowering lmms with 3d-awareness, 2024

Reference 58

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This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.320100Z

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This paper cites Unifying 3D Vision-Language Understanding via Promptable Queries.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unifying 3D Vision-Language Understanding via Promptable Queries

Reference 60

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This paper cites Generalized decoding for pixel, image, and lan- guage.

Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Generalized decoding for pixel, image, and lan- guage

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:27:29.303684Z

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Qwen-3D: A Generalist 3D Vision-Language Model for Spatial Understanding Unresolved cited work

Reference 62

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