Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:26:13.652189Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.17660.
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 2026-08-01T17:26:13.652189Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7863b68d-6889-41e8-a3c9-c3c8d0a004f0 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Planning-oriented Autonomous Driving
Reference 1
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Observation 85d8a940-6c7a-4228-b52e-928555aea53f · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Reference 2
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Observation ceca9850-48c7-4474-ba6d-f82f2a9f6b34 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Multi-View 3D Object Detection Network for Autonomous Driving,
Reference 3
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Observation 88560308-2924-48b2-bc12-299da87bea2c · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D,
Reference 4
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Observation 0309ff42-34b1-4484-90ac-98f172c326df · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Monoscene: Monocular 3D Semantic Scene Completion,
Reference 5
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Observation ef33c664-1acd-41be-b4d6-44cf35588458 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
Reference 6
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Observation 44c06df2-e22c-4865-a4d7-24e9181a031c · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity V oxFormer: Sparse V oxel Transformer for Camera- Based 3D Semantic Scene Completion,
Reference 7
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Observation b7c7c083-934c-4c66-b6fe-949f7224de2a · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Reference 8
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Observation 0f9f993d-c4c3-4c35-9753-93eba7d1fae4 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity SelfOcc: Self- Supervised Vision-Based 3D Occupancy Prediction,
Reference 9
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Observation eecff709-98c4-4562-8b25-3d994cd37a99 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Scene as Occupancy,
Reference 10
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Observation 2d71c60a-bc7e-47c0-af07-66729ec273a8 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving,
Reference 11
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Observation 9aa40049-f410-46c4-89a6-5881410b427d · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
Reference 12
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Observation 0ed2f692-c8c6-4406-b07e-985573ba4271 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
Reference 13
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Observation 7a396f12-5567-41e3-9630-43138dc061c5 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Reference 14
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Observation d53c8f62-6ef4-4bb4-9feb-ab65918ff3e5 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Reference 15
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Observation 15b8095d-d99d-49a2-9ea5-05c73bc32601 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Pointpillars: Fast encoders for object detection from point clouds,
Reference 16
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Observation 4ee3a47a-ff19-49f4-a769-3ddcf8841a33 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity V oxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection,
Reference 17
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Observation e3835232-fab9-42b1-b22f-0acccf3f5919 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVFusion: A Simple and Robust Lidar-Camera Fusion Framework,
Reference 18
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Observation 6d06f20f-a539-4978-bfd0-5257bc8531ef · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation,
Reference 19
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Observation 27509db6-63ad-4aee-a189-5d82ed245325 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity LidarMultiNet: Towards a Unified Multi-Task Network for Lidar Perception,
Reference 20
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Observation 0820052d-8339-4018-a9de-0db82622dfc6 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Unsupervised monoc- ular depth estimation with left-right consistency,
Reference 21
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Observation d2e4731c-4059-4b35-952b-e9ea534eed76 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Depth Anything V2
Reference 22
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Observation b735f0d1-97ba-45f5-9226-6bce2e148ac3 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
Reference 23
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Observation e5dc7654-4f66-4cc2-9630-837fb0a6b6ed · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Reference 24
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Observation d81e1fcf-5a6e-4bf2-98ff-be7469b9d44a · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Toward real-world bev per- ception: Depth uncertainty estimation via gaussian splatting,
Reference 25
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Observation 44f5e0c0-248b-44fb-9ef4-d6929f3986dd · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity nuScenes: A Multimodal Dataset for Autonomous Driving,
Reference 26
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Observation b06769f7-8c62-460c-94c6-aad4a59852fa · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Reference 27
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Observation cd0e96df-2dd0-4180-9aed-37ef81333be9 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction,
Reference 28
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Observation ea20c817-3227-4e01-b405-3951d46e3e17 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Location-aware transformer network for bird’s eye view semantic segmentation,
Reference 29
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Observation 98a89298-a9a4-467c-940a-be185bc67fd5 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Occupancy as Set of Points,
Reference 30
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Observation 6982016d-f5af-4941-8722-367cdeb96d8e · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Opus: Occupancy Prediction Using a Sparse Set,
Reference 31
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Observation ef3e0654-a527-47e0-b92e-8d909ef5f369 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Rethinking pose refinement in 3d gaussian splatting under pose prior and geometric uncertainty,
Reference 32
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Observation 619de69d-56c4-4460-9178-9679a94410f0 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
Reference 33
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Observation a541970d-e17a-4352-8f87-be1d1c64601c · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Vg3t: Visual geometry grounded gaussian trans- former,
Reference 34
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Observation c85caf69-4b2e-4444-ade9-559069c376dd · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Nerf: Representing scenes as neural radiance fields for view synthesis,
Reference 35
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Observation 8d505c01-9ca5-4b7d-bd33-ca204cf96e27 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Roomnerf: Representing empty room as neural radiance fields for view synthesis
Reference 36
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Observation a8a7ceec-d788-46dc-ab2c-8b4b6cd7fbf3 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Mixture density networks,
Reference 37
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Observation 6ed697d6-ed64-47fe-b3a7-cee455c07a9a · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Smd-nets: Stereo mixture density networks,
Reference 38
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Observation 572906c3-5a02-4918-b2db-b96954adbda0 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Mixnerf: Modeling a ray with mixture density for novel view synthesis from sparse inputs,
Reference 39
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Observation 1eac6d03-5a75-4482-ba44-1bc5dbf2928e · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity VGGT: Visual Geometry Grounded Transformer
Reference 40
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Observation 47985a1b-cc58-40a0-9f44-8c90c46e32e5 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Vision Transformers for Dense Prediction
Reference 41
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Observation 8815ee7a-0dde-47bc-9aac-5907708a10e3 · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Atlas: End-to-End 3D Scene Reconstruction from Posed Images,
Reference 42
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Observation 22a42c8d-bfc7-412f-8063-caa96a95dedd · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity Decoupled Weight Decay Regularization
Reference 43
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Observation 60cb7300-96f9-412b-8799-124063a879cb · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 44
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Observation a2f9fd46-79ce-412c-8734-79f5071fd74c · outbound
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity PointPillars: Fast Encoders for Object Detection from Point Clouds
Reference 2019
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No inbound Pith citation observations are available.