Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T17:07:49.005419Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2605.22536.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T17:07:49.005419Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
86 of 86 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ddd9acab-c461-47c0-ab06-665606decc20 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visual instruction tuning
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eccba92f-0bc3-4e37-a349-95f29ad35e0e · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40a0193d-4a07-47e5-b65d-f291ad9f3640 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b1b525b-fc44-46c8-b12c-f5c2b47ef508 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63e8f605-6c9f-4107-bda1-eca7581de84b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b08360e-3b45-4650-89cd-f9fd39b16ed7 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Robotic visual instruction
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1eb58b4-fcc7-4131-bc04-4844799c3c1b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mmsi-bench: A benchmark for multi-image spatial intelligence
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 464162c2-65f8-492d-8fd5-98ab137f6e2b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dsi-bench: A benchmark for dynamic spatial intelligence
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c8e56c1-fd4f-42ce-8a0a-c49420e6a97b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Cambrian-S: Towards Spatial Supersensing in Video
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4f08ac5-3e97-4133-b2a5-ea07e28ac3b2 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Omnispatial: Towards comprehensive spatial reasoning benchmark for vision language models
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7d87c53-794c-4d5a-a8f2-30e8d29247e5 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mindcube: Spatial mental modeling from limited views
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9c04230-c3ea-49a1-bbc2-c650b0edf382 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3375eb0f-d871-42e5-9928-8b4570404828 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Stepping vlms onto the court: Benchmarking spatial intelligence in sports
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b14a4d56-5017-4361-992f-3185d8d595fd · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatialvlm: Endowing vision-language models with spatial reasoning capabilities
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77bdd3df-73f9-460d-a4e5-bcca9019770e · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Thinking in space: How multimodal large language models see, remember, and recall spaces
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 193b285d-e7e1-4a2e-8e93-61bc8d4680a3 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scaling spatial intelligence with multimodal foundation models
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce7c9c13-e6cf-474e-94dc-7f035d387378 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep video deblurring for hand-held cameras
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4c765b3-f32b-428b-9c43-439098f866fe · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep multi-scale convolutional neural network for dynamic scene deblurring
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 848f89c8-ddae-42db-a869-2251dfdc37f4 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Efficient spatio-temporal recurrent neural network for video deblurring
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3012c46-aa45-46c8-878e-ef60c9c6c083 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network.International Journal of Computer Vision, 131(1):284–301
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9715bbcd-cbb2-441d-848b-72f4902dbffb · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Blur interpolation transformer for real-world motion from blur
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e865bac-81f7-48b2-8b61-20d1ae6a75eb · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Image super-resolution using deep convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation addc3000-5e18-4fb2-8599-357b9adf3267 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Photo-realistic single image super- resolution using a generative adversarial network
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e5f4118-fc11-4e6a-9510-18ebb37cd049 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Esrgan: Enhanced super-resolution generative adversarial networks
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 264d4a10-24ad-42be-bb54-1337c4a4fc51 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Transformer for single image super-resolution
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ca063cb-d439-4fd1-9183-e864bc9938b5 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Deep shutter unrolling network
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b4eabfa-abaf-40b8-bf8f-0034f1d69d0a · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Towards rolling shutter correction and deblurring in dynamic scenes
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1069ab5-f736-40c8-8dff-69807cf0e98d · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Learning adaptive warping for real-world rolling shutter correction
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93b748c4-4c33-485c-8d06-051549f61fa2 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Learning to see in the dark
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2147d2ca-dbad-40f7-9d8a-18f84fc8a137 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Visibility constrained wide-band illumina- tion spectrum design for seeing-in-the-dark
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 538ccd8b-2a0c-4976-86e8-2d2a2d06543e · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Nir-assisted video enhancement via unpaired 24-hour data
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6971ca6-1b31-4d53-a3e0-63002a1fe4c7 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Single image haze removal using dark channel prior.IEEE transactions on pattern analysis and machine intelligence, 33(12):2341–2353
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 91e64fc3-13e6-4855-a134-b44771058f9b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Clearing the skies: A deep network architecture for single-image rain removal.IEEE Transactions on Image Processing, 26(6):2944– 2956
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83c044fb-416d-41e4-acdf-c299d85d1e36 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Robust-r1: Degradation-aware reasoning for robust visual understanding
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1ae2f2a-02aa-4fbe-84a7-ebc700dbea63 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlm-robustbench: A comprehensive benchmark for robustness of vision-language models
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d5c74b72-2683-4944-a06e-b7225d111e78 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 938bb0d4-b0a9-42ad-9c00-658af3859a03 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Holi-spatial: Evolving video streams into holistic 3d spatial intelligence
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 108aeded-4e56-4b79-9651-e9f9fcfb0bb9 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scannet++: A high-fidelity dataset of 3d indoor scenes
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f8ae9de-327f-403b-b1dd-cb35d2145738 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Qwen3.5: Towards native multimodal agents, February 2026
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5287a69-1021-449c-b596-786d28ff574d · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ddcf4665-8ef3-40cc-ada9-505542df975b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Kimi-VL Technical Report
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8f4e4a20-0cba-4558-9d99-197a97e9bc85 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mimo-vl technical report
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d5780a1-36bc-4968-92f1-8bde7258f37d · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Spatialrgpt: Grounded spatial reasoning in vision language models
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1687352b-42c2-48fa-a301-c42255e2c69c · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mm-spatial: Exploring 3d spatial understanding in multimodal llms
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77d67a3c-4af9-42c7-84d9-8bbad73ddd89 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlm4d: Towards spatiotemporal awareness in vision language models
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d59744e-b921-4df4-873f-ab55bac7eab7 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Benchmarking neural network robustness to common corruptions and perturbations
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 593635b7-8dd5-4d50-b5cd-aabbc77bc05e · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation On the robustness of large multimodal models against image adversarial attacks
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ab40fc05-5cee-4d5e-8e49-c16bc6ec070f · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Analysing the robustness of vision-language-models to common corruptions
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b076f67-b42b-4220-8825-effca920b42b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Unresolved cited work
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80d1efc3-f9b8-454c-842b-b32cb4ad79bd · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Scaffold-gs: Structured 3d gaussians for view-adaptive rendering
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 640b99d5-78f2-4f4d-9177-8a511e631457 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Octree-gs: Towards consistent real-time rendering with lod-structured 3d gaussians.IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–15
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 447d8b1e-a018-49a4-8098-2607648b04c6 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Mip-splatting: Alias-free 3d gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1bd72242-87b1-4d7c-b93a-97dfb8866748 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93c75d10-8978-4246-962c-5611e5220879 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4460a5ed-cf03-49e8-b214-d1a013a22015 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygaussian: Real-time high-quality large-scale scene rendering with gaussians
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd43d22f-6d0a-4433-b4d4-ac5c545df1a4 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygaussianv2: Effi- cient and geometrically accurate reconstruction for large-scale scenes
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c7b80fcf-243e-4049-9a12-d9b7b3417fe2 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Citygs-x: A scalable architecture for efficient and geometrically accurate large-scale scene reconstruction
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c897650d-1641-4282-8742-96ec050f6ba1 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vastgaussian: Vast 3d gaussians for large scene reconstruction
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6ed7df8-9694-4c4c-aab6-d106a7890a98 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Compact 3d gaussian representation for radiance field
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0fc8d076-ea1c-4fd8-a361-e09fa009791b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Maskgaussian: Adaptive 3d gaussian representation from probabilistic masks
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6656130-8dfe-4185-8dcf-7fa27742108f · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ FPS
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f3ce304-bf05-4d88-8a65-13a0c4406474 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ec2e6d3-0712-4f5b-8572-37d67d81ab9f · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Bad-gaussians: Bundle adjusted deblur gaussian splatting
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 00a86157-332f-46f9-80b2-403d078fbaea · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Motion-aware animatable gaussian avatars deblurring
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation de780366-1b90-4e0d-8f85-7ee182cd940a · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dp-nerf: Deblurred neural radiance field with physical scene priors
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation feec92a4-c574-4bd1-ad31-0ed3e8cb591e · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Dof-gs: Adjustable depth-of-field 3d gaussian splatting for refocusing, defocus rendering and blur removal.The IEEE / CVF Computer Vision and Pattern Recognition Conference
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17bcd5a0-1782-4e27-a32f-a8dc25e353a3 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Srinivasan, and Jonathan T
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89c57c9f-9334-4a48-af7b-b42013beed04 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Physics-based noise modeling for extreme low- light photography.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 152a98f0-1579-43e6-b907-e5aa7618aaf0 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Fisheye-gs: Lightweight and extensible gaussian splatting module for fisheye cameras
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9e185a7f-8a0f-4c7e-bb75-c867e1f58e37 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation 3dgut: Enabling distorted cameras and secondary rays in gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 238675a7-d254-4722-8eb4-bd06bb8bf46a · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Depth Anything 3: Recovering the Visual Space from Any Views
Reference 71
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Structure-from-motion revisited
Reference 72
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Observation 302bec29-bcbd-4c05-9b60-1c0fca4edd72 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation SAM 3: Segment anything with concepts
Reference 73
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Observation f29c6621-1171-4510-bd04-3b6b4e964f92 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
Reference 74
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ma- pAnything: Universal feed-forward metric 3D reconstruction
Reference 75
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Heartfelt – Shadertoy
Reference 76
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Observation b76e10af-9ca7-4bc0-9c5a-881a00576e41 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Introducing GPT-5.4
Reference 77
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Observation 464c328c-ae8e-4956-b9e8-537451017d0f · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Gemini 3.1 pro: A smarter model for your most complex tasks
Reference 78
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Observation 6b02a344-a78e-414e-8051-653038e44566 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Gemini 3.1 flash-lite: Built for intelligence at scale
Reference 79
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Observation dadb760b-21bd-4d3d-97ca-e3f3a2ceeb8b · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Introducing claude sonnet 4.6
Reference 80
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Observation 150b52b9-0eda-4bc6-a936-ef4599ebc955 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Llava-onevision-1.5: Fully open framework for democratized multimodal training
Reference 81
Source-reported events for the cited work
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Observation db4172a7-00ed-4ed0-a708-ea6d394cf987 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Ace-brain-0: Spatial intelligence as a shared scaffold for universal embodiments
Reference 82
Source-reported events for the cited work
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Observation 73cf9d03-6864-4f7f-98a9-b01536f97980 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Rynnbrain: Open embodied foundation models
Reference 83
Source-reported events for the cited work
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Observation 960496a2-7303-4411-b999-42ed409a5b33 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Has gpt-5 achieved spatial intelligence? an empirical study
Reference 84
Source-reported events for the cited work
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Observation 9d1be8c1-cbf8-4043-a646-6e64429552e7 · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation Vlmevalkit: An open-source toolkit for evaluating large multi-modality models
Reference 85
Source-reported events for the cited work
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Observation 4dd9df63-551f-4cbb-9168-ac34b9230f3c · outbound
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation LL”, “MB
Reference 86
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No inbound Pith citation observations are available.