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Paper Citation Record · LEDGER

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2510.20480.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2510.20480 v2

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measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T08:34:35.759449Z

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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44 of 44 outbound references displayed

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Outbound references

Observation c6b421c9-7417-4528-a7a0-d955b0662001 · outbound

This paper cites Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge,

Reference 1

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Observation c2985cc4-b83e-4b98-97c4-8f40fffe4b35 · outbound

This paper cites Laser–visual–inertial odometry and mapping with high robustness and low drift,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Laser–visual–inertial odometry and mapping with high robustness and low drift,

Reference 2

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Observation 29a9f954-8bf1-4833-b3e9-c1ec4c6d6378 · outbound

This paper cites Comple- mentary Multi–Modal Sensor Fusion for Resilient Robot Pose Estima- tion in Subterranean Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Comple- mentary Multi–Modal Sensor Fusion for Resilient Robot Pose Estima- tion in Subterranean Environments,

Reference 3

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Observation 7aa5ff49-1822-402b-8ceb-0bd869aface1 · outbound

This paper cites Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challeng- ing Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challeng- ing Environments,

Reference 4

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Observation cd268ee5-0532-4b18-bf93-3217fe0bfbfd · outbound

This paper cites LIMO: Lidar-Monocular Visual Odometry,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections LIMO: Lidar-Monocular Visual Odometry,

Reference 5

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Observation 1a268392-aa62-4c72-8a8c-47c9de689bf0 · outbound

This paper cites LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping,

Reference 6

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Observation 17b71194-3438-41f1-b4c7-f0302d50704a · outbound

This paper cites R 33LIVE++: A Robust, Real-Time, Radiance Reconstruction Package With a Tightly-Coupled LiDAR-Inertial-Visual State Estimator,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections R 33LIVE++: A Robust, Real-Time, Radiance Reconstruction Package With a Tightly-Coupled LiDAR-Inertial-Visual State Estimator,

Reference 7

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Observation a1af372a-7bef-4a00-b49b-da1b61981423 · outbound

This paper cites MINS: Efficient and Robust Multisensor-Aided Inertial Navigation System,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections MINS: Efficient and Robust Multisensor-Aided Inertial Navigation System,

Reference 8

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Observation a32b13ab-0423-495f-bf7d-9ac211e33deb · outbound

This paper cites SR-LIVO: LiDAR- Inertial-Visual Odometry and Mapping With Sweep Reconstruction,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections SR-LIVO: LiDAR- Inertial-Visual Odometry and Mapping With Sweep Reconstruction,

Reference 9

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Observation affff912-965e-405b-90e9-a9ca6c4e7a44 · outbound

This paper cites LVIO-Fusion:Tightly- Coupled LiDAR-Visual-Inertial Odometry and Mapping in Degenerate Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections LVIO-Fusion:Tightly- Coupled LiDAR-Visual-Inertial Odometry and Mapping in Degenerate Environments,

Reference 10

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Observation 84df879c-4d74-4fc2-8e43-901ce229ca89 · outbound

This paper cites FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry,

Reference 11

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Observation 68741596-d57d-436f-9fc6-b0040b7bed28 · outbound

This paper cites Intermittent VIO-Assisted LiDAR SLAM Against Degeneracy: Recognition and Mitigation,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Intermittent VIO-Assisted LiDAR SLAM Against Degeneracy: Recognition and Mitigation,

Reference 12

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Observation 9a5dd465-6162-456e-9caa-2a4a7ba2c931 · outbound

This paper cites MCLIVO: A low-drift LiDAR-inertial-visual odometry with multi-constrained op- timization for planetary mapping,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections MCLIVO: A low-drift LiDAR-inertial-visual odometry with multi-constrained op- timization for planetary mapping,

Reference 13

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Observation e062b0a1-035f-411f-8593-4a9b930f9b3f · outbound

This paper cites On degeneracy of optimization-based state estimation problems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections On degeneracy of optimization-based state estimation problems,

Reference 14

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Observation 7430e8f5-4e1b-45e1-872c-7e561e27c225 · outbound

This paper cites Informed, Constrained, Aligned: A Field Analysis on Degeneracy- aware Point Cloud Registration in the Wild,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Informed, Constrained, Aligned: A Field Analysis on Degeneracy- aware Point Cloud Registration in the Wild,

Reference 15

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Observation 1f7c9ec2-397b-4089-a28f-0bc75d762383 · outbound

This paper cites X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments,

Reference 16

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Observation e16f1f5a-3d24-4de8-b17c-69f9bb2cddab · outbound

This paper cites Fast Swarming of UA Vs in GNSS-Denied Feature-Poor Environments With- out Explicit Communication,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Fast Swarming of UA Vs in GNSS-Denied Feature-Poor Environments With- out Explicit Communication,

Reference 17

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Observation 1fae41f1-cca5-4f1b-b399-d8d9ed196aad · outbound

This paper cites Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra,

Reference 18

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Observation 88c9d63b-f93e-45c2-844b-79363dd92212 · outbound

This paper cites DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm,

Reference 19

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Observation 6ebd3d86-e4f2-44c5-b837-e5cafe486dee · outbound

This paper cites DiSCo-SLAM: Distributed Scan Context-Enabled Multi-Robot LiDAR SLAM With Two-Stage Global-Local Graph Optimization,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections DiSCo-SLAM: Distributed Scan Context-Enabled Multi-Robot LiDAR SLAM With Two-Stage Global-Local Graph Optimization,

Reference 20

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Observation 3fd4d30d-8086-4891-90f8-5acaee4ea502 · outbound

This paper cites LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments,

Reference 21

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Observation 7f028ea6-9f0c-4944-8b85-5105df3b251f · outbound

This paper cites CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms,

Reference 22

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Observation 95dbb4ae-3a5d-4770-9ab8-4994db1ede10 · outbound

This paper cites COVINS: Visual-Inertial SLAM for Centralized Collaboration,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections COVINS: Visual-Inertial SLAM for Centralized Collaboration,

Reference 23

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Observation b8a3c465-51c0-47c8-a2fe-42adccf51c52 · outbound

This paper cites Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems,

Reference 24

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Observation 12d67e61-63e8-44a3-a556-bbd3801f8873 · outbound

This paper cites DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems

Reference 25

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Observation ca7e5cd6-3fe4-47cb-9cff-ebe65b84d554 · outbound

This paper cites Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms,

Reference 26

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Observation b4e58dcc-fd16-4fca-8a25-83adccd3808c · outbound

This paper cites Ground and Aerial Collaborative Mapping in Urban Environments,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Ground and Aerial Collaborative Mapping in Urban Environments,

Reference 27

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Observation 8eb7c20a-db88-44b9-ab7f-b4570062c9ae · outbound

This paper cites Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems,

Reference 28

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Observation 9910589e-5ae2-4f4a-8c90-a309d7bc3bbe · outbound

This paper cites Swarm-LIO2: Decentralized Efficient LiDAR- Inertial Odometry for Aerial Swarm Systems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Swarm-LIO2: Decentralized Efficient LiDAR- Inertial Odometry for Aerial Swarm Systems,

Reference 29

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Observation a30b3827-a38b-4ea2-b45a-79442e103828 · outbound

This paper cites Fusion of Visual-Inertial Odometry with LiDAR Relative Localization for Cooperative Guidance of a Micro-Scale Aerial Vehicle,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Fusion of Visual-Inertial Odometry with LiDAR Relative Localization for Cooperative Guidance of a Micro-Scale Aerial Vehicle,

Reference 30

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Observation cca3218d-eb44-435c-9bb7-49a6deb241e4 · outbound

This paper cites Active Collaborative Localization in Heterogeneous Robot Teams,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Active Collaborative Localization in Heterogeneous Robot Teams,

Reference 31

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Observation 2e9a23fd-dd48-49a4-9d9e-ca39ecf740af · outbound

This paper cites Factor Graphs for Robot Perception,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Factor Graphs for Robot Perception,

Reference 32

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Observation 6a641f5b-d844-4c56-a76e-a72da81d743f · outbound

This paper cites Associating Uncertainty With Three- Dimensional Poses for Use in Estimation Problems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Associating Uncertainty With Three- Dimensional Poses for Use in Estimation Problems,

Reference 33

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Observation 76a1ab26-c24e-42a9-afe9-7343ac09c374 · outbound

This paper cites iSAM2: Incremental smoothing and mapping using the Bayes tree,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections iSAM2: Incremental smoothing and mapping using the Bayes tree,

Reference 34

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Observation 0100b70a-f9a6-4e70-b2b5-ad2af26e3404 · outbound

This paper cites The distance between two random vectors with given dispersion matrices,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections The distance between two random vectors with given dispersion matrices,

Reference 35

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Observation edb0d3f7-34a2-4c22-a0b0-a827306034ab · outbound

This paper cites The Fr ´echet distance between multivariate normal distributions,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections The Fr ´echet distance between multivariate normal distributions,

Reference 36

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Observation 51c8719f-d823-48b1-8765-8111383ec1d6 · outbound

This paper cites On the Bures–Wasserstein distance between positive definite matrices,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections On the Bures–Wasserstein distance between positive definite matrices,

Reference 37

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Observation c8a9f0ff-c49f-4d32-80d6-4ee0e6adb84a · outbound

This paper cites A micro Lie theory for state estimation in robotics.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections A micro Lie theory for state estimation in robotics

Reference 38

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Observation 6078409b-6059-4bd5-b798-231eee68f46d · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections Least-squares estimation of transformation parameters between two point patterns,

Reference 39

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Observation 6561a754-3029-49fd-8854-436e393b43ce · outbound

This paper cites LIO- SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections LIO- SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping,

Reference 40

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Observation f1422a40-7e28-4503-bc68-cad0155751ba · outbound

This paper cites OpenVINS: A Research Platform for Visual-Inertial Estimation,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections OpenVINS: A Research Platform for Visual-Inertial Estimation,

Reference 41

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Observation eb9b7308-e2b1-4558-82c0-d201a80c7e8c · outbound

This paper cites On Onboard LiDAR-Based Flying Object Detection,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections On Onboard LiDAR-Based Flying Object Detection,

Reference 42

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Observation 2609d6eb-aa0d-41a2-881c-b0bbcc40558a · outbound

This paper cites A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry,

Reference 43

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Observation 8df85455-d813-4968-9287-8e66c4b23006 · outbound

This paper cites MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems,.

Degradation-Aware Cooperative Multi-Modal GNSS-Denied Localization Leveraging LiDAR-Based Robot Detections MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems,

Reference 44

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