Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:52.003391Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 6 inbound Pith citation observations for arXiv:2506.02265.
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 2026-08-07T11:31:52.003391Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:12.127589Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T23:55:43.023437Z
79 of 79 outbound references displayed
External citation measurements
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Observation 6ca26002-95da-4365-a9d2-7576b285dd3d · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Multiple View Geometry in Computer Vision
Reference 1
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Observation c4d01dbc-ec5a-41a9-b9e2-852dcd0501d9 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work
Reference 2
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Observation 7699ffd5-af21-4dad-b9bd-3fe133fd566b · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Loam: Lidar odometry and mapping in real-time
Reference 3
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Observation fef56326-3f5c-460a-a05d-085b8467573b · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Reference 4
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Observation e121cf24-f7cb-4bba-8ac3-3582daafc6c3 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction 3d gaussian splatting for real-time radiance field rendering, 2023
Reference 5
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Observation 3d22d8eb-fede-4312-b40d-1b07e8d72dc6 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Instant neural graphics primitives with a multiresolution hash encoding
Reference 6
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Observation 994dd4b8-565b-496d-a024-0e61969adb92 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Reference 7
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Observation d2fa6dd5-c35b-4db1-9f70-3316c67a7a96 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Schonberger and Jan-Michael Frahm
Reference 8
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work
Reference 9
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Observation 404fa357-1981-4f76-8d66-e7dda116ddac · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Accurate, dense, and robust multiview stereopsis
Reference 10
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Observation 1cccd2d4-aa11-4fe2-855a-f51ff7e445e1 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Dust3r: Geometric 3d vision made easy
Reference 11
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Observation c54c2a00-e254-44ff-be73-f1df5cf7713c · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli
Reference 12
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Observation 4f8fb475-3d24-4704-adc2-d82243209c66 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
Reference 13
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Observation af30b448-0473-4c97-a16a-fbbf8aa1f90f · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Probabilistic structure matching for visual slam with a multi-camera rig
Reference 14
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Observation 0952fbbc-aeb5-4d61-8190-71e52ef460bb · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Leveraging image-based localization for infrastructure-based calibration of a multi-camera rig
Reference 15
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Observation bf9a5605-5b7d-47be-8d04-2562a69a53b9 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work
Reference 16
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Observation d62adf79-c3b4-4405-9444-580f8a16fca4 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Global Structure-from-Motion Revisited
Reference 17
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Observation d906b074-4417-4972-9e38-f2489d7ccc86 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction FastMap: Revisiting Structure from Motion through First-Order Optimization
Reference 18
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Observation 6b07ea35-8c52-40f1-8482-0d0bb5cbe818 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SuperPoint: Self-Supervised Interest Point Detection and Description
Reference 19
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Observation 8cccb5a9-b635-461e-848f-a65810526d95 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SuperGlue: Learning Feature Matching with Graph Neural Networks
Reference 20
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Observation d42c4b1c-310c-4037-a813-24d9a3f27b9d · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Reference 21
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Observation 1d3a81a7-5015-4100-9cd9-23925d5f2954 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction LoFTR: Detector-free local feature matching with transformers
Reference 22
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Observation cf811ac4-19d1-4aa5-a0fd-bc6a3bd617ad · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction RoMa: Robust Dense Feature Matching
Reference 23
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Observation 829a6542-0db6-406f-ac00-8a145c49e503 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Reference 24
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Observation 8519f6c7-a059-4957-b56c-198648d4d35a · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction
Reference 25
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Observation 53677ba7-dfa1-4c39-831b-f351a0ebadcf · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images , page 370–386
Reference 26
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Observation b4aa4f3a-a616-4c7c-af76-ebdfd16aabae · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Reference 27
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Observation a9850795-55f3-4702-9ef3-eb83e3154f04 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work
Reference 28
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Observation daa6e2da-8ce3-4ceb-9361-36b7260ed5f6 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Depth anything: Unleashing the power of large-scale unlabeled data
Reference 29
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Observation 8e9c838a-d1af-450f-93cb-3628d2def12e · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vggsfm: Visual geometry grounded deep structure from motion
Reference 30
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Observation c50ddfe2-8eb3-49ca-a97b-4c3ab2266649 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Continuous 3D Perception Model with Persistent State
Reference 31
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Observation f60add61-8688-4a93-b2e7-d9729a5da0b5 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction 3D Reconstruction with Spatial Memory
Reference 32
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Observation 2fba2009-a0b4-4af9-ae7d-3ef024b5ce82 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Reference 33
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Observation 38e7ce11-cbc0-475b-b0ff-08bf18cfada3 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos
Reference 34
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Observation ffb783f3-4a8b-4ea3-9ff6-93512d0005e7 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Easi3r: Estimating disentangled motion from dust3r without training, 2025
Reference 35
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Observation 792baa7a-c26a-4cdd-bb93-baa2a9846063 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Slam3r: Real-time dense scene reconstruction from monocular rgb videos,
Reference 36
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Observation 6ae66c10-d067-4e72-a54a-83e5545f5cb5 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Reference 38
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Observation 1f7fbaca-e0fb-4a30-a69e-491be74c8633 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vggt: Visual geometry grounded transformer
Reference 39
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Observation 39b117f8-a252-4119-a7f4-4f715d04f190 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors
Reference 40
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Observation 358a43d5-e306-4812-a1fd-5c19fcec8e9b · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Epnp: An accurate o(n) solution to the pnp problem
Reference 41
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Observation 6049385a-bcd9-4c4a-9142-df16696b183e · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Fischler and Robert C
Reference 42
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Observation 4ef6579a-b0b6-4b2a-93c3-3313b197f3f6 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
Reference 43
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Cameras as Rays: Pose Estimation via Ray Diffusion
Reference 44
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Observation 917e6d58-3a9f-437f-9129-8098c9c471b0 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Reference 45
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Observation daab20fc-af85-4746-b624-7d052aa06def · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Reference 46
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Observation 76e84058-e3e7-4b6f-9680-d3e66dc4b103 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unsupervised Learning of Depth and Ego-Motion from Video
Reference 47
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Unresolved cited work
Reference 49
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Oswald, and Marc Pollefeys
Reference 50
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Splatam: Splat, track & map 3d gaussians for dense rgb-d slam
Reference 51
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Grounding Image Matching in 3D with MASt3R
Reference 52
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Observation 345b85e7-0a00-43fb-8f9f-7b140a3028f6 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer
Reference 53
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Somani Arun, Thomas S
Reference 54
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 55
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Observation ec8c0f0c-fb5d-454f-a5e2-d93bcf0289a3 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Attention Is All You Need
Reference 56
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Reference 57
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Reference 58
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Reference 59
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
Reference 60
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Blendedmvs: A large-scale dataset for generalized multi-view stereo networks.Computer Vision and Pattern Recognition (CVPR), 2020
Reference 61
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Map-free visual relocalization: Metric pose relative to a single image
Reference 62
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner
Reference 63
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Mvimgnet: A large-scale dataset of multi-view images
Reference 64
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
Reference 65
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Reference 66
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Tartanair: A dataset to push the limits of visual slam
Reference 67
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Pandaset: Advanced sensor suite dataset for autonomous driving
Reference 68
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 69
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction nuScenes: A multimodal dataset for autonomous driving
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Scalability in perception for autonomous driving: Waymo open dataset
Reference 72
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction OmniRe: Omni Urban Scene Reconstruction
Reference 73
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
Reference 74
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Posediffusion: Solving pose esti- mation via diffusion-aided bundle adjustment, 2024
Reference 75
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Relpose: Predicting probabilistic relative rotation for single objects in the wild
Reference 76
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Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem, pages 478–494
Reference 78
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 284ca38a-4deb-435b-9f32-7e98e6e5ea29 · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction Vision Transformers for Dense Prediction
Reference 2021
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Unavailable: canonical work link unavailable.
Observation 4b7bd602-4362-45f2-8fa3-207f33f4ebbf · outbound
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos
Reference 2025
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Unavailable: canonical work link unavailable.
Observation 36aaf0b8-6f5c-4f94-80f6-08225a726eb2 · inbound
E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 101
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Unavailable: canonical work link unavailable.
Observation 07038e20-3d0f-4969-8367-d17345f19a91 · inbound
OmniNWM: Omniscient Driving Navigation World Models Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 49
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Unavailable: canonical work link unavailable.
Observation de00bd00-76c2-46e0-bf02-12a06f2c664e · inbound
LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 74490980-71f9-4038-870b-9392a083835b · inbound
LA-Pose: Latent Action Pretraining Meets Pose Estimation Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cdb16a78-8ac4-4e01-80b8-6b95223fc059 · inbound
From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1836e6a1-b17e-4481-a5e5-1606494db860 · inbound
TRIG: Trajectory-Rig Decoupled Metric Geometry Learning Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.