Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:52:08.208813Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.22910.
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 2026-08-04T14:52:08.208813Z
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
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 46033748-999f-4fb2-b897-76444b7cb06a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras,
Reference 1
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Observation 8b26875e-e3ab-45aa-8c7f-efb83035cc32 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM,
Reference 2
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Observation 11366703-2a11-4c4d-bdab-d07385298308 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM
Reference 3
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Observation 97fc8bd2-f7ad-4822-ac4a-9481549b31a9 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Recent advances in slam for degraded environments a review,
Reference 4
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Observation ec2c96cf-8179-45ec-9efb-501e5aa0cb51 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Robust SLAM Systems: Are We There Yet?
Reference 5
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Observation 1585f4c3-ca8b-4245-ac7f-91a7561ff0c2 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Wheel-SLAM: Simultaneous localization and terrain mapping using one wheel-mounted imu,
Reference 6
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Observation d2a07a1a-7a3a-4e67-a4b7-3a6a2eb0e79b · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator,
Reference 7
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Observation b8ba3aa9-17cc-4a35-98ba-6d8b96b898b3 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM A multi-state constraint Kalman filter for vision-aided inertial navigation,
Reference 8
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Observation b465ce77-5291-4628-aedd-a7ad44e4d0a3 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Open- VINS: A Research Platform for Visual-Inertial Estimation,
Reference 9
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Observation 5f073c2f-6247-43c9-b48e-fde37dd1f479 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Kimera: an open- source library for real-time metric-semantic localization and mapping,
Reference 10
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Observation 2cc17be2-4526-491a-810d-90f7a0950509 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Visual-inertial-wheel slam with high- accuracy localization measurement for wheeled robots on complex terrain,
Reference 11
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Observation 03d53c57-58eb-4527-9f66-d739b4ef0dd3 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM VINS on wheels,
Reference 12
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Observation 5d89ad6e-d563-4485-80ee-ed56962a94d6 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Visual- Inertial-Wheel Odometry with Online Calibration,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 36818a4a-8308-4598-b6c6-3ed366cdd829 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Adaptive estimation of uav altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertain- ties,
Reference 14
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Observation b4567994-f93c-46c6-b0c8-bc4da396e0e7 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM LiDAR-Visual-Inertial Tightly- coupled Odometry with Adaptive Learnable Fusion Weights,
Reference 15
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Observation 7eb5e0da-128c-4337-883b-5db621d4f7bd · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Ground-fusion: A low-cost ground slam system robust to corner cases,
Reference 16
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Observation bd2263af-89ac-48f8-8b9c-621a48dd2df5 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method,
Reference 17
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Observation 4ce28245-0b47-4ed7-9a9c-f6cece48d86a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Rvwo: A robust visual-wheel slam system for mobile robots in dynamic environments,
Reference 18
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Observation a68935b6-5bf7-4bf7-8e59-a99a388ed501 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Switch-SLAM: Switching-Based LiDAR-Inertial- Visual SLAM for Degenerate Environments,
Reference 19
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Observation 45be13c2-5149-4d5f-a2ab-26e4dcc54c1a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM
Reference 20
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Observation 609ccb1d-530f-4887-86a6-40bbd050d628 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Informed, Constrained, Aligned: A Field Analysis on Degeneracy-Aware Point Cloud Registration in the Wild,
Reference 21
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Observation 9bbd5c3b-8297-4d4b-a40b-fb505624b1cd · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM On degeneracy of optimization- based state estimation problems,
Reference 22
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Observation 8b79b32b-dd74-4fd8-a236-715528caf661 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM SuperLoc: The Key to Robust Lidar-Inertial Localization Lies in Predicting Alignment Risks Superodometry.Com/SuperLoc,
Reference 23
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Observation 931c53c1-7940-4719-b824-28cbba82d3b4 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM DAMS- LIO: A Degeneration-Aware and Modular Sensor-Fusion LiDAR- inertial Odometry,
Reference 24
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Observation 840cbcb3-9dbc-4085-abfe-f5de7a2bf789 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Stereo visual iner- tial pose estimation based on feedforward and feedbacks,
Reference 25
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Observation 9f1489ae-7ab9-4200-80c4-b9ed7aefa07a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Visual-Inertial Monocular SLAM With Map Reuse,
Reference 26
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Observation 3ddc9fab-d993-43e8-a3b4-9ee700c6ce5b · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Task-driven SLAM Benchmarking For Robot Navigation
Reference 27
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Observation 4c264ddf-d81d-4ff4-a440-1fc76f643978 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM A robust and modular multi-sensor fusion approach applied to MA V navigation,
Reference 28
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Unavailable: canonical work link unavailable.
Observation 8e9a351c-e662-4406-a07e-d11e3d47d062 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
Reference 29
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Observation dfa3c0e6-f966-4c77-bdec-2bfdd2ff411a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM EKF-LOAM: An Adaptive Fusion of LiDAR SLAM With Wheel Odometry and Inertial Data for Confined Spaces With Few Geometric Features,
Reference 30
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Observation c37a475c-687c-4f7b-8254-2cf108941746 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Numerical optimization,
Reference 31
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Observation 5e4acb45-d293-4a29-bf24-7d969157564e · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM The levenberg-marquardt algorithm,
Reference 32
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Observation 5877822c-2dd2-452a-bca9-bfdddb74de5e · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Unresolved cited work
Reference 33
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Observation b4fffd2b-6d18-4a1d-b616-2d6c0dab9d98 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Bundle adjustment—a modern synthesis,
Reference 34
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Observation fe2cd603-aea9-4c63-9f3b-07b09853fd7a · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM MAC-VO: Metrics-Aware Covariance for Learning-Based Stereo Visual Odome- try,
Reference 35
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Observation 3bb94598-51f1-45e7-a742-212f03d0a23b · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Present and future of slam in extreme environments: The darpa subt challenge,
Reference 36
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Observation 1e6efd50-5eba-410f-a20f-6779c1c931b0 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint,
Reference 37
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Observation d2d42e34-5e94-4919-9c2b-089214feac3c · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Attention and Anticipation in Fast Visual- Inertial Navigation,
Reference 38
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Observation 5827c067-77a9-4288-b0d7-a6f87eef69f3 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Good feature matching: Towards accurate, robust VO/VSLAM with low latency,
Reference 39
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Observation a5ad551a-8b2c-44f3-aebd-71ba2f3ec183 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM AutoInspect: Toward Long-Term Au- tonomous Inspection and Monitoring,
Reference 40
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Observation c076db54-2aed-4ea7-ac59-724279c33329 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Review of robotic infrastructure inspec- tion systems,
Reference 41
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Observation 4cc6d58f-1223-437c-a856-3c7614e948c6 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM PGD-VIO: A Plane- Aided RGB-D Inertial Odometry With Graph-Based Drift Suppres- sion,
Reference 42
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Observation ca64ee5b-42a9-4ece-be8b-1b8f50333b55 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM SLAM Toolbox: SLAM for the dynamic world,
Reference 43
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Observation df1d3e25-7ffa-4b29-b23a-47db60c1924d · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM Continuous-Time Visual-Inertial Odometry for Event Cameras,
Reference 44
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Observation 4cf26ad0-21cf-40ce-8373-a05f98be6f30 · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM [Online]
Reference 45
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Observation 1929d0d3-660e-4181-9a02-b3cd5277c74b · outbound
Good Weights: Proactive, Adaptive Dead Reckoning Fusion for Continuous and Robust Visual SLAM DSOL: A Fast Direct Sparse Odometry Scheme,
Reference 46
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No inbound Pith citation observations are available.