SeeSE3: Emergence of 3D Space in Vision Features | Paper Citation Record

Observation abc15ddd-c321-47e8-a778-8c6473bffc0e · outbound

This paper cites Cognitive maps in rats and men.Psychological review, 55(4):189, 1948.

SeeSE3: Emergence of 3D Space in Vision Features Cognitive maps in rats and men.Psychological review, 55(4):189, 1948

Reference 1

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Observation 4d34e24c-9b29-48a1-87bb-6ff6ca5504cb · outbound

This paper cites Psychology press, 2014.

SeeSE3: Emergence of 3D Space in Vision Features Psychology press, 2014

Reference 2

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Observation c50de181-4e2f-4eda-babe-0fa32b484600 · outbound

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

SeeSE3: Emergence of 3D Space in Vision Features Mental rotation of three-dimensional objects.Science, 171(3972):701–703, 1971

Reference 3

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Observation 5cf72d12-03ea-45f0-a3a9-3c12cc85a67c · outbound

This paper cites Routledge, 2013.

SeeSE3: Emergence of 3D Space in Vision Features Routledge, 2013

Reference 4

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Observation 4a2946a3-ddf0-4e1f-b706-039ad811336c · outbound

This paper cites Allocentric and egocentric spatial representations: Definitions, distinctions, and interconnections.

SeeSE3: Emergence of 3D Space in Vision Features Allocentric and egocentric spatial representations: Definitions, distinctions, and interconnections

Reference 5

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Observation aebe0e12-5b96-4c55-a0c7-8b732084eae4 · outbound

This paper cites Structure-from-motion revisited.

SeeSE3: Emergence of 3D Space in Vision Features Structure-from-motion revisited

Reference 6

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Observation 6f1f561b-de63-4b9e-8af4-cd2ed30d1c09 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

SeeSE3: Emergence of 3D Space in Vision Features Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 7

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Observation c089dfc0-b922-47c0-88c4-1ae40947a7c7 · outbound

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

SeeSE3: Emergence of 3D Space in Vision Features Habitat: A platform for embodied ai research

Reference 8

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Observation 9801fa88-3373-4ad5-aa04-b99a89395f2e · outbound

This paper cites Efficiently reconstructing dynamic scenes one d4rt at a time.arXiv preprint arXiv:2512.08924, 2025.

SeeSE3: Emergence of 3D Space in Vision Features Efficiently reconstructing dynamic scenes one d4rt at a time.arXiv preprint arXiv:2512.08924, 2025

Reference 9

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Observation bff512d8-de4d-4ac6-bc4f-3a0c5a79ef2d · outbound

This paper cites IndyPublish.com, 1709.

SeeSE3: Emergence of 3D Space in Vision Features IndyPublish.com, 1709

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:53.781220Z

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Observation 69632af4-7365-4b31-903d-d0608a64732f · outbound

This paper cites Movement-produced stimulation in the development of visually guided behavior.Journal of comparative and physiological psychology, 56(5):872, 1963.

SeeSE3: Emergence of 3D Space in Vision Features Movement-produced stimulation in the development of visually guided behavior.Journal of comparative and physiological psychology, 56(5):872, 1963

Reference 11

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Observation 56980e35-3452-4591-ae6d-19b8515908e2 · outbound

This paper cites Dover Publications, 2011.

SeeSE3: Emergence of 3D Space in Vision Features Dover Publications, 2011

Reference 12

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Observation 0ee60687-7eb5-44e5-87fd-57dcd074851b · outbound

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

SeeSE3: Emergence of 3D Space in Vision Features Probing the 3D awareness of visual foundation models

Reference 13

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Observation 716dd49a-403e-4f69-a629-b9404d70075f · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 14

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Observation c110b14d-c84c-4992-b867-e25a2f25dec0 · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 15

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Observation c46e67e7-d231-4ecd-a6c4-6edd5d5e9b3d · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 16

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Observation 06e67f82-a6df-43cb-90d6-f000dd7f573f · outbound

This paper cites Nomad: Goal masked diffusion policies for navigation and exploration.

SeeSE3: Emergence of 3D Space in Vision Features Nomad: Goal masked diffusion policies for navigation and exploration

Reference 17

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Observation 9adbfae2-0075-4fa5-9f5f-951ba7a449a8 · outbound

This paper cites Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.

SeeSE3: Emergence of 3D Space in Vision Features Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation

Reference 18

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Observation cf8919a2-38cd-4aeb-93ff-c49775824eab · outbound

This paper cites Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned.

SeeSE3: Emergence of 3D Space in Vision Features Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:54.572749Z

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Observation 0bb7320a-0447-44c3-8fb7-4adbbf2b4f92 · outbound

This paper cites Navigation world models.

SeeSE3: Emergence of 3D Space in Vision Features Navigation world models

Reference 20

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Observation 905e69c5-6daf-496b-97a4-eaab25bba187 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

SeeSE3: Emergence of 3D Space in Vision Features V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 21

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Observation 527f767b-c365-4942-8bdf-2c944d854ef2 · outbound

This paper cites Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning.

SeeSE3: Emergence of 3D Space in Vision Features Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning

Reference 22

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Observation 97913c0c-7a46-4454-8f37-adad8f4aa698 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

SeeSE3: Emergence of 3D Space in Vision Features Deep ViT Features as Dense Visual Descriptors

Reference 23

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Observation 436b372f-a22c-47b2-8ac7-242871704021 · outbound

This paper cites How much 3d do video foundation models encode?arXiv preprint arXiv:2512.19949, 2025.

SeeSE3: Emergence of 3D Space in Vision Features How much 3d do video foundation models encode?arXiv preprint arXiv:2512.19949, 2025

Reference 24

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Observation c33fe453-0ab4-418d-a067-95dc4e4309e2 · outbound

This paper cites Lexicon3D: Probing visual foundation models for complex 3D scene understanding.

SeeSE3: Emergence of 3D Space in Vision Features Lexicon3D: Probing visual foundation models for complex 3D scene understanding

Reference 25

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Observation eeaf119c-bcfc-420a-a1ed-f43da3a5c3db · outbound

This paper cites StyleGAN knows Normal, Depth, Albedo, and More.

SeeSE3: Emergence of 3D Space in Vision Features StyleGAN knows Normal, Depth, Albedo, and More

Reference 26

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Observation f8cb63e4-e76e-4f21-8b0e-6d6f1beb3a89 · outbound

This paper cites Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model.

SeeSE3: Emergence of 3D Space in Vision Features Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:55.448225Z

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Observation bacba978-6287-46ce-86d4-d7e488b9d4a7 · outbound

This paper cites Campos, R.

SeeSE3: Emergence of 3D Space in Vision Features Campos, R

Reference 28

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Observation 029de8cc-ef3c-47f1-974f-94a46e1acf5c · outbound

This paper cites Rust: Latent neural scene representations from unposed imagery.

SeeSE3: Emergence of 3D Space in Vision Features Rust: Latent neural scene representations from unposed imagery

Reference 29

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Observation 72687d56-268b-4d3a-a8d1-f9c3a9b3078c · outbound

This paper cites True self-supervised novel view synthesis is transferable.arXiv preprint arXiv:2510.13063, 2025.

SeeSE3: Emergence of 3D Space in Vision Features True self-supervised novel view synthesis is transferable.arXiv preprint arXiv:2510.13063, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:55.716510Z

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Observation 6a7f768b-2608-4e6b-9d5c-c1fb394f5c19 · outbound

This paper cites Primary visual cortex straightens natural video trajectories.Nature communications, 12(1):5982, 2021.

SeeSE3: Emergence of 3D Space in Vision Features Primary visual cortex straightens natural video trajectories.Nature communications, 12(1):5982, 2021

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Observation 517bff1d-2a43-439b-abc4-02ebf34b8d08 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

SeeSE3: Emergence of 3D Space in Vision Features LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 32

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Observation 4e26114e-7e7e-4114-8726-a6e1c60672a7 · outbound

This paper cites Sorscher, G.

SeeSE3: Emergence of 3D Space in Vision Features Sorscher, G

Reference 33

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Observation 38c0bcb6-da57-4c76-b9b3-3eca2023ff80 · outbound

This paper cites Dorrell and J.

SeeSE3: Emergence of 3D Space in Vision Features Dorrell and J

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Observation 7a7ac742-71a8-4e4c-946b-d4649f289da3 · outbound

This paper cites Gnm: A general navigation model to drive any robot.

SeeSE3: Emergence of 3D Space in Vision Features Gnm: A general navigation model to drive any robot

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Observation 5a79a019-96fe-4527-a696-b9995511514e · outbound

This paper cites ViNT: A Foundation Model for Visual Navigation.

SeeSE3: Emergence of 3D Space in Vision Features ViNT: A Foundation Model for Visual Navigation

Reference 36

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Observation 1f6c77c8-b31c-47a2-9d6a-09bd4647a054 · outbound

This paper cites Prior does matter: Visual navigation via denoising diffusion bridge models.

SeeSE3: Emergence of 3D Space in Vision Features Prior does matter: Visual navigation via denoising diffusion bridge models

Reference 37

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Observation 4d0196cc-37aa-42f9-9fc4-6bc9337c24f6 · outbound

This paper cites Navmorph: A self-evolving world model for vision-and-language navigation in continuous environments.

SeeSE3: Emergence of 3D Space in Vision Features Navmorph: A self-evolving world model for vision-and-language navigation in continuous environments

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Observation 3fcb7345-4b99-498f-88a3-085a995326c3 · outbound

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SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 39

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Observation aa71d981-1bf6-49ea-8a24-9e1c027e651e · outbound

This paper cites On the continuity of rotation representations in neural networks.

SeeSE3: Emergence of 3D Space in Vision Features On the continuity of rotation representations in neural networks

Reference 40

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Observation e42c3677-62e8-4b9a-bef8-8b4e16305ec9 · outbound

This paper cites Self-supervised video pretraining yields robust and more human-aligned visual representations.Advances in Neural Information Processing Systems, 36:65743–65765, 2023.

SeeSE3: Emergence of 3D Space in Vision Features Self-supervised video pretraining yields robust and more human-aligned visual representations.Advances in Neural Information Processing Systems, 36:65743–65765, 2023

Reference 41

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Observation d27bbe7e-07ed-422a-a21d-09d129d744e5 · outbound

This paper cites Learning predictable and robust neural representations by straightening image sequences.Advances in Neural Information Processing Systems, 37:40316–40335, 2024.

SeeSE3: Emergence of 3D Space in Vision Features Learning predictable and robust neural representations by straightening image sequences.Advances in Neural Information Processing Systems, 37:40316–40335, 2024

Reference 42

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Observation 23f875ec-66c3-4b6a-81c2-efd334e60abd · outbound

This paper cites Chirality in action: Time-aware video represen- tation learning by latent straightening.Advances in Neural Information Processing Systems, 38:92695–92726, 2026.

SeeSE3: Emergence of 3D Space in Vision Features Chirality in action: Time-aware video represen- tation learning by latent straightening.Advances in Neural Information Processing Systems, 38:92695–92726, 2026

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Observation e99781bd-c9e8-455b-9f1e-2a18051fe855 · outbound

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SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 44

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Observation 0b459d38-1fcd-4282-8e8b-bfb8eee4339c · outbound

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

SeeSE3: Emergence of 3D Space in Vision Features ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

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Observation 2668e327-5819-453e-9656-8e7e1cc4ab4b · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

SeeSE3: Emergence of 3D Space in Vision Features A benchmark for the evaluation of rgb-d slam systems

Reference 46

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Observation a1201391-512e-476f-a256-5a017b6a88f4 · outbound

This paper cites Learning to navigate the energy landscape.

SeeSE3: Emergence of 3D Space in Vision Features Learning to navigate the energy landscape

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Observation fb4af697-c1a8-44bf-98c7-2fce3ff0f392 · outbound

This paper cites Scene coordinate regression forests for camera relocalization in rgb-d images.

SeeSE3: Emergence of 3D Space in Vision Features Scene coordinate regression forests for camera relocalization in rgb-d images

Reference 48

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Observation 4e102c2d-4df4-4b50-af62-06b01aa7f961 · outbound

This paper cites The Platonic Representation Hypothesis.

SeeSE3: Emergence of 3D Space in Vision Features The Platonic Representation Hypothesis

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Observation d697c8ec-8b33-4776-8cb1-3892afa8949a · outbound

This paper cites Dynamic reflections: Probing video representations with text alignment.

SeeSE3: Emergence of 3D Space in Vision Features Dynamic reflections: Probing video representations with text alignment

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:57.215197Z

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Observation be26553a-3552-4c36-8aeb-f0c2812f48e5 · outbound

This paper cites Levina and P.

SeeSE3: Emergence of 3D Space in Vision Features Levina and P

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Observation 61f6e82c-d9c1-4c4a-86e9-fea2f4c3fc39 · outbound

This paper cites Facco, M.

SeeSE3: Emergence of 3D Space in Vision Features Facco, M

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Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:57.346388Z

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Observation 93c315d6-3ab2-457a-9df9-94a83504b5e2 · outbound

This paper cites Large vision models can solve mental rotation problems.

SeeSE3: Emergence of 3D Space in Vision Features Large vision models can solve mental rotation problems

Reference 53

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Observation e042461d-e095-4ea4-a994-ae21a15e5b57 · outbound

This paper cites Metzer, E.

SeeSE3: Emergence of 3D Space in Vision Features Metzer, E

Reference 54

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Observation 7927f8b3-1617-4758-aaac-7abd1360f4e7 · outbound

This paper cites Weinzaepfel, V.

SeeSE3: Emergence of 3D Space in Vision Features Weinzaepfel, V

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Observation a8b9e026-77dd-4961-a767-d591b1edd188 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SeeSE3: Emergence of 3D Space in Vision Features DINOv2: Learning Robust Visual Features without Supervision

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Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:57.638611Z

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Observation 0221beee-885b-43b2-8e17-3d49a8747b36 · outbound

This paper cites DINOv3.

SeeSE3: Emergence of 3D Space in Vision Features DINOv3

Reference 57

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Observation 3b7e7e94-0001-4384-9083-90f7c5e08a68 · outbound

This paper cites Radford, J.

SeeSE3: Emergence of 3D Space in Vision Features Radford, J

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Observation 1185ec8e-b3fa-4b5b-bfae-7e3ab7b21e97 · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:57.896652Z

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Observation 97935cd4-b992-4791-9cd5-9d226813e03d · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

SeeSE3: Emergence of 3D Space in Vision Features Depth Anything 3: Recovering the Visual Space from Any Views

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Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:57.960918Z

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Observation 1c3ef910-2001-4736-9665-b815e1e8014c · outbound

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

SeeSE3: Emergence of 3D Space in Vision Features Perception Encoder: The best visual embeddings are not at the output of the network

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Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.043393Z

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Observation fe9dc8d4-72ad-4aa5-bf33-44a4ff474d77 · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

SeeSE3: Emergence of 3D Space in Vision Features Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.124847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4683a1c2-baf3-4d2c-85d3-e502e54c0ed0 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

SeeSE3: Emergence of 3D Space in Vision Features High- resolution image synthesis with latent diffusion models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.202050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c88214-b949-40b7-bccd-d265512f1b95 · outbound

This paper cites Denoising Diffusion Implicit Models.

SeeSE3: Emergence of 3D Space in Vision Features Denoising Diffusion Implicit Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.302430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0b34cf-bdfd-467f-8851-0cdfeb4a6764 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

SeeSE3: Emergence of 3D Space in Vision Features Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.367929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e16a4a-2c95-4db6-aaa3-14fd56b6c285 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.Advances in Neural Information Processing Systems, 36:45533–45547, 2023.

SeeSE3: Emergence of 3D Space in Vision Features A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.Advances in Neural Information Processing Systems, 36:45533–45547, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.430922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b3f3b6a-c014-4870-8016-c62f21f9272d · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

SeeSE3: Emergence of 3D Space in Vision Features Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.501052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ed38c1-cc13-4ce3-ae93-cac2fb767ecf · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.578183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51feaf88-b823-4728-85a6-4e7dd96ffd06 · outbound

This paper cites Recurrent Video Masked Autoencoders.

SeeSE3: Emergence of 3D Space in Vision Features Recurrent Video Masked Autoencoders

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.651651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b5a864-d3ae-4dc9-a564-937d49a0c200 · outbound

This paper cites Scaling 4D Representations.

SeeSE3: Emergence of 3D Space in Vision Features Scaling 4D Representations

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.712379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78791446-e291-4a38-bbda-d49a52715330 · outbound

This paper cites Unique Lives, Shared World: Learning from Single-Life Videos.

SeeSE3: Emergence of 3D Space in Vision Features Unique Lives, Shared World: Learning from Single-Life Videos

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.824241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5def9b-f9f3-4d5d-ace9-e3671e274b2c · outbound

This paper cites Federer.Geometric Measure Theory.

SeeSE3: Emergence of 3D Space in Vision Features Federer.Geometric Measure Theory

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:58.840176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf5769f-0494-422a-91d5-2c34e6466393 · outbound

This paper cites Poincaré adapter.

SeeSE3: Emergence of 3D Space in Vision Features Poincaré adapter

Reference 73

Resolution: malformed identifier; no resolver link, observed 2026-08-02T02:49:58.905734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa69a4f-d736-426a-a0b2-af120773764d · outbound

This paper cites an unresolved cited work.

SeeSE3: Emergence of 3D Space in Vision Features Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:59.072704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eabfbd2-12cf-4033-9970-10decafa53de · outbound

This paper cites Proof.We address each claim sequentially:.

SeeSE3: Emergence of 3D Space in Vision Features Proof.We address each claim sequentially:

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:59.198448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c480148f-0e6e-4e91-bd26-a3700c3edb69 · outbound

This paper cites Thus, time t influences the visual observation solely through the trajectory C(t), making P:U → Ia well-defined mapping that assigns a unique, repeatable image to any specific pose.

SeeSE3: Emergence of 3D Space in Vision Features Thus, time t influences the visual observation solely through the trajectory C(t), making P:U → Ia well-defined mapping that assigns a unique, repeatable image to any specific pose

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:59.295400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3490b16b-cb2e-48c3-8438-390f1ff3f40c · outbound

This paper cites The domain of valid poses U is an open subset of the Lie group SE(3), which is a smooth manifold of dimension 6.

SeeSE3: Emergence of 3D Space in Vision Features The domain of valid poses U is an open subset of the Lie group SE(3), which is a smooth manifold of dimension 6

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:59.387324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6c24f8-5f94-411a-9715-e7f5b9ec8b7c · outbound

This paper cites move forward 1 meter.

SeeSE3: Emergence of 3D Space in Vision Features move forward 1 meter

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:59.483783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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