Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models | Paper Citation Record

Observation 54a1a48e-541c-4a26-99a9-ac63c5153957 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

Reference 1

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Observation 1f84e78f-dfcc-4e6e-8447-694e34bbad57 · outbound

This paper cites 3drs: Mllms need 3d-aware representation supervision for scene understanding.Advances in Neural Information Processing Systems, 38: 67961–67988, 2026.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models 3drs: Mllms need 3d-aware representation supervision for scene understanding.Advances in Neural Information Processing Systems, 38: 67961–67988, 2026

Reference 2

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Observation 72786601-5a8c-4972-bbd3-73db14d1f467 · outbound

This paper cites CUP Archive, 1967.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models CUP Archive, 1967

Reference 3

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Observation bb9cd8f1-1932-4808-9c04-adda660b79d2 · outbound

This paper cites Henry Holt and Co., Inc., New York, NY , USA, 1982.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Henry Holt and Co., Inc., New York, NY , USA, 1982

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:32.032179Z

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Observation 8b75e6f2-0426-4b6a-847d-ff22eaf69d19 · outbound

This paper cites Number 6.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Number 6

Reference 5

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Observation 9c1485a0-d1ed-4f5d-898d-49463389cea6 · outbound

This paper cites Separate visual pathways for perception and action.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Separate visual pathways for perception and action

Reference 6

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Observation c70e74d4-ee1f-4bb0-a477-e732b8540558 · outbound

This paper cites Mental rotation of three-dimensional objects.Science, 171(3972):701–703, 1971.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Mental rotation of three-dimensional objects.Science, 171(3972):701–703, 1971

Reference 7

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Observation 53fa584c-0db6-46e2-a28b-fd03061b08d9 · outbound

This paper cites Oxford university press, 1978.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Oxford university press, 1978

Reference 8

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Observation 3d47e3f0-36cc-4b90-b178-965802fae45f · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 9

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Observation 04ee055b-8d94-4616-9a27-fa3eac91f6a3 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 10

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Observation c274fcc8-ac9b-4312-b3d0-4d118e2a2623 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models PaLM-E: An Embodied Multimodal Language Model

Reference 11

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Observation f4020c15-82c7-4b85-b0ef-3ff96bf5ab12 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 12

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Observation ecd75291-ac67-40ae-9e16-39afc05ac79f · outbound

This paper cites Are vlms ready for autonomous driving? an empirical study from the reliability, data and metric perspectives.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Are vlms ready for autonomous driving? an empirical study from the reliability, data and metric perspectives

Reference 13

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Observation 0f5fb8ed-eb7f-4d78-a561-d48b5f067980 · outbound

This paper cites Qwen2.5-VL Technical Report.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Qwen2.5-VL Technical Report

Reference 14

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Observation 205a6793-af32-450d-9f26-0bdfd8316df2 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 15

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Observation 61b7547e-1d9b-4a8b-9164-36bb4225850c · outbound

This paper cites LLaV A- video: Video instruction tuning with synthetic data.Transactions on Machine Learning Research, 2025.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models LLaV A- video: Video instruction tuning with synthetic data.Transactions on Machine Learning Research, 2025

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.861793Z

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Observation 7bb53d38-73a0-4035-a903-7194cffba8ed · outbound

This paper cites Probing the 3d awareness of visual foundation models.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Probing the 3d awareness of visual foundation models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.851699Z

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Observation 5cf0e01c-42fd-495e-a90d-a30d3d2c7c98 · outbound

This paper cites Sti- bench: Are mllms ready for precise spatial-temporal world understanding? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 5622–5632, 2025.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Sti- bench: Are mllms ready for precise spatial-temporal world understanding? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 5622–5632, 2025

Reference 18

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Observation 87d6ce1f-049d-4151-902c-6f4b92e319bd · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Thinking in space: How multimodal large language models see, remember, and recall spaces

Reference 19

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Observation ccddb12c-aba2-4058-990e-f3875f62cebe · outbound

This paper cites Vlm4d: Towards spatiotem- poral awareness in vision language models.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Vlm4d: Towards spatiotem- poral awareness in vision language models

Reference 20

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Observation 4a06d401-c430-4d9c-bbd9-3f0656262306 · outbound

This paper cites Cambrian-s: Towards spatial supersensing in video.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Cambrian-s: Towards spatial supersensing in video

Reference 22

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Observation beac19f4-b222-40b6-9e7e-69cf97e0fcbe · outbound

This paper cites Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis

Reference 24

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Observation 4647a97b-0e1f-4c31-bcbd-a85f98f5f94e · outbound

This paper cites Learning from videos for 3d world: Enhancing mllms with 3d vision geometry priors.arXiv preprint arXiv:2505.24625, 2025.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Learning from videos for 3d world: Enhancing mllms with 3d vision geometry priors.arXiv preprint arXiv:2505.24625, 2025

Reference 26

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Observation f434eff9-3b11-4021-8934-ecd778e162be · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Distilling the Knowledge in a Neural Network

Reference 28

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Observation c976a4dc-f4a9-40f3-b939-dd1c9a60943b · outbound

This paper cites Unsupervised natural experience rapidly alters invariant object representation in visual cortex.science, 321(5895):1502–1507, 2008.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unsupervised natural experience rapidly alters invariant object representation in visual cortex.science, 321(5895):1502–1507, 2008

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.803965Z

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Observation a77fa326-3b6b-490e-bc6b-4cf2003d5c93 · outbound

This paper cites Slow feature analysis: Unsupervised learning of invariances.Neural computation, 14(4):715–770, 2002.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Slow feature analysis: Unsupervised learning of invariances.Neural computation, 14(4):715–770, 2002

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.688307Z

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Observation f1a1f640-c5ea-4332-b960-e17a12b4f2f1 · outbound

This paper cites The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249– 1263, 2020.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249– 1263, 2020

Reference 31

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Observation 0b40abdd-a5db-4460-8a8c-2ef393025aae · outbound

This paper cites Psychology of spatial cognition.Wiley Interdisciplinary Reviews: Cognitive Science, 3(6):565–580, 2012.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Psychology of spatial cognition.Wiley Interdisciplinary Reviews: Cognitive Science, 3(6):565–580, 2012

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.556519Z

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Observation a6faf50b-53c7-4948-b050-b6ca50e69b8f · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 33

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Observation 67da9146-8180-461b-920c-a09a20989136 · outbound

This paper cites GPT-4o System Card.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models GPT-4o System Card

Reference 34

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Observation 7c938b5e-59a1-4a40-bc81-2a4b0f23cbd7 · outbound

This paper cites STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 35

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Observation d9ce87d5-a09d-4627-9a8c-8812128504eb · outbound

This paper cites VLM4D: Towards Spatiotemporal Awareness in Vision Language Models.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models VLM4D: Towards Spatiotemporal Awareness in Vision Language Models

Reference 36

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Observation 6ccf82cd-9f78-4f08-9861-33308bddca74 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Learning Transferable Visual Models From Natural Language Supervision

Reference 37

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Observation 1c083e24-1267-4b2f-94ec-a3fe365ffef1 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Sigmoid Loss for Language Image Pre-Training

Reference 38

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Observation 8e3a871a-0a6a-473f-a70b-2be1a1d4fa0f · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 39

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Observation 96ab4e6c-53d2-426a-abc4-f0e554584a1f · outbound

This paper cites O’Sullivan, Fang Cao, Tahoura Nedaee, Kamyar Rajabalifardi, Fei-Fei Li, Ehsan Adeli, and Euan Ashley.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models O’Sullivan, Fang Cao, Tahoura Nedaee, Kamyar Rajabalifardi, Fei-Fei Li, Ehsan Adeli, and Euan Ashley

Reference 40

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Observation f65e9dfb-4032-429b-9eef-45796e4626c8 · outbound

This paper cites From flatland to space: Teaching vision-language models to perceive and reason in 3d.arXiv preprint arXiv:2503.22976, 2026.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models From flatland to space: Teaching vision-language models to perceive and reason in 3d.arXiv preprint arXiv:2503.22976, 2026

Reference 41

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Observation ebcc31ef-8308-4671-a011-7d8922eaf6e2 · outbound

This paper cites Visual spatial tuning.arXiv preprint arXiv:2511.05491, 2025.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Visual spatial tuning.arXiv preprint arXiv:2511.05491, 2025

Reference 42

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Observation 06b1887d-f586-4ca0-8901-29e9cdbf6dd2 · outbound

This paper cites Cambrian-S: Towards Spatial Supersensing in Video.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Cambrian-S: Towards Spatial Supersensing in Video

Reference 43

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Observation da5f7c1d-cf31-4b45-84aa-571d67dcbbf6 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Vggt: Visual geometry grounded transformer

Reference 44

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Observation 10bccea0-33e6-4810-9190-2e9cd6e583d6 · outbound

This paper cites Continuous 3d perception model with persistent state.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Continuous 3d perception model with persistent state

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.541921Z

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Observation 084fcc2b-0416-453a-88f8-c2da350228e7 · outbound

This paper cites SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.651082Z

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Observation bb3b1a12-f7d2-46a3-a3ef-2d507a968d3b · outbound

This paper cites G2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688, 2025.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models G2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688, 2025

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.682876Z

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Observation a6476444-98df-496a-8dec-752400d760ba · outbound

This paper cites Think with 3d: Geometric imagination grounded spatial reasoning from limited views.arXiv preprint arXiv:2510.18632, 2026.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Think with 3d: Geometric imagination grounded spatial reasoning from limited views.arXiv preprint arXiv:2510.18632, 2026

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.731186Z

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Observation a7c3b56b-2384-4993-af06-ca9fde4930fb · outbound

This paper cites Vision-aligned Latent Reasoning for Multi-modal Large Language Model.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Vision-aligned Latent Reasoning for Multi-modal Large Language Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.783675Z

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Observation 420ee94e-dab1-4a97-b330-7b95dfc9d6f4 · outbound

This paper cites Cambridge University Press, 2001.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Cambridge University Press, 2001

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.508886Z

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Observation a1e511ba-3ad4-4ca0-be74-f96a6923cdf0 · outbound

This paper cites Cambridge University Press, 2014.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Cambridge University Press, 2014

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.837244Z

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Observation 58daaab1-74dc-4075-be49-655b718d8179 · outbound

This paper cites Relational knowledge distillation.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Relational knowledge distillation

Reference 52

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Observation c5c2a94d-f3f4-41d6-824f-99fc63b9abef · outbound

This paper cites DINOv3.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models DINOv3

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.881926Z

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Observation ceadf3e1-0473-4f8c-8652-8cbde385cbba · outbound

This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Perception Encoder: The best visual embeddings are not at the output of the network

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:28.893432Z

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Observation b7f2d45a-2f0f-4047-ba08-e8d01fcba513 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.442289Z

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Observation 7d9ab556-828c-43a9-95f8-2f452d8dee24 · outbound

This paper cites Videorepa: Learning physics for video generation through relational alignment with foundation models.Advances in Neural Information Processing Systems, 38:122647– 122676, 2026.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Videorepa: Learning physics for video generation through relational alignment with foundation models.Advances in Neural Information Processing Systems, 38:122647– 122676, 2026

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.383300Z

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Observation ae99a4e1-13d8-4c11-97b7-8dc38ff6acaa · outbound

This paper cites Moalign: Motion-centric representation alignment for video diffusion models.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Moalign: Motion-centric representation alignment for video diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.272471Z

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Observation 34256c33-f0dd-4f2e-83d0-80391481943f · outbound

This paper cites Lever- aging vision-language models for improving domain generalization in image classification.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Lever- aging vision-language models for improving domain generalization in image classification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:31.153761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b33995ff-cbda-4283-84df-d2ae3fc1b135 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.100129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2c11c2-5218-40a3-9139-f67c19d73469 · outbound

This paper cites ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.148328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bca34a-8a20-46eb-b56e-c75c6970ab98 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.171413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a819d40-0fd1-4343-a531-38dee812edd0 · outbound

This paper cites Scaling spatial intelligence with multimodal foundation models.arXiv preprint arXiv:2511.13719, 2026.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Scaling spatial intelligence with multimodal foundation models.arXiv preprint arXiv:2511.13719, 2026

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.175284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08d0c3c-1a81-4e3a-8b09-b52449f00a60 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.181722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3efa8d-16ba-4abc-a9bd-0e210dd59505 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Grounded 3D-LLM with Referent Tokens

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.184264Z

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Unavailable: canonical work link unavailable.

Observation d48dd1ca-9762-44c5-a86c-d64e53f01c20 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unifying 3D Vision-Language Understanding via Promptable Queries

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.188680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80814b0b-2ab0-46c3-a529-d5a44720240d · outbound

This paper cites Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.215429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f0e4626-515e-4a87-82c9-1358dc631503 · outbound

This paper cites Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.277581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08779163-fc63-47d5-92c3-8e12b46253ba · outbound

This paper cites 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.320043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a337eac-a6ff-4da2-9b54-bef0828e8066 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.367094Z

Source-reported events for the cited work

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Observation a34fcf9c-3f7f-4b4b-b317-abf2803f0958 · outbound

This paper cites Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.383190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c428b8-ffda-4025-99c0-b416bcb1efcc · outbound

This paper cites Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.389249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a57a09e-1a22-4cf4-aabe-9ef8fe282024 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.392263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ee0b39-5d19-4f57-8997-2578b3ce65f0 · outbound

This paper cites Multi3DRefer: Grounding Text Description to Multiple 3D Objects.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Multi3DRefer: Grounding Text Description to Multiple 3D Objects

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.395853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebeea71-6527-44ba-a6a1-93d19a00a5f6 · outbound

This paper cites Scan2Cap: Context-aware Dense Captioning in RGB-D Scans.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:33:29.990241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8636b1ed-3519-4725-a936-864a867a45f7 · outbound

This paper cites ScanQA: 3D Question Answering for Spatial Scene Understanding.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models ScanQA: 3D Question Answering for Spatial Scene Understanding

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:33:29.939265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32cd7efc-d531-4675-b0dc-53185f7009b0 · outbound

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

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models SQA3D: Situated Question Answering in 3D Scenes

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.481703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ce05c5-32e2-4ad2-9e09-cdabc4cfc9f1 · outbound

This paper cites Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:29.538485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c8680a-2431-4bca-ac4a-f9586d1bbc40 · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:31.122134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4b87380-ad14-4e41-9610-156e596fdc85 · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:31.075624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 282e49fa-6365-421a-adb5-a8656ab047ed · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:30.938959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16b01bc7-69f0-4b7c-8490-4910cfaabd85 · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:30.824082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b4a6676-c5b5-4cf8-a6a7-226466578864 · outbound

This paper cites We retain only patches that contain at least one valid-depth pixel; let V ⊆ {1,.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models We retain only patches that contain at least one valid-depth pixel; let V ⊆ {1,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:30.815753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc25501e-7ad7-4c4b-a7c8-1fa287ff6a73 · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:30.807455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34ded46c-8425-4293-aec7-003f99db8477 · outbound

This paper cites an unresolved cited work.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:33:30.730339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79576ef0-f845-47b8-ae6a-14427c427d17 · outbound

This paper cites Dist., Room Size, Rel.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Dist., Room Size, Rel

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:30.611920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aed1b9d-374a-4b8b-8a21-a7fb85a65085 · outbound

This paper cites Feature. Dist.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models Feature. Dist

Reference 86

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T15:33:30.561614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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