Paper Citation Record · LEDGER

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2505.08230.

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

pith.paper-citation-record.v1
2505.08230 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:33.695145Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:00:08.620291Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T12:57:07.624450Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy33
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 020d5d3b-aa2f-4a04-86d1-5686f1389cc7 · outbound

This paper cites Scientific exploration of challenging planetary analog environments with a team of legged robots,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Scientific exploration of challenging planetary analog environments with a team of legged robots,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.793248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9a26e55-6943-4dbc-afdc-d537128449f7 · outbound

This paper cites Deploying mavs for autonomous navigation in dark underground mine environments,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Deploying mavs for autonomous navigation in dark underground mine environments,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.700907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e49f48cc-bcfa-4ae3-82ec-096c332dc6b3 · outbound

This paper cites Disco-slam: Distributed scan context-enabled multi- robot lidar slam with two-stage global-local graph optimization,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Disco-slam: Distributed scan context-enabled multi- robot lidar slam with two-stage global-local graph optimization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.643728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3035a5f-e8e2-41e5-8648-d235499c5840 · outbound

This paper cites Rdc-slam: A real- time distributed cooperative slam system based on 3d lidar,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Rdc-slam: A real- time distributed cooperative slam system based on 3d lidar,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.606423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d02775c6-6249-45b5-8fa4-7ed8f4e63ae4 · outbound

This paper cites Dcl-slam: A distributed collaborative lidar slam framework for a robotic swarm,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Dcl-slam: A distributed collaborative lidar slam framework for a robotic swarm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.569014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c676d60-144d-4d20-b846-4c10da46a21c · outbound

This paper cites Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.538481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e902e34-3396-45cb-abc6-de75ff51236c · outbound

This paper cites Ldg-cslam: Multi-robot collaborative slam based on curve analysis, normal distribution, and factor graph optimization,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Ldg-cslam: Multi-robot collaborative slam based on curve analysis, normal distribution, and factor graph optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.495566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db9aad61-f7be-44aa-9867-6a086395554f · outbound

This paper cites Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:33.059670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3632728-882a-451d-9c43-e53d3e9c3237 · outbound

This paper cites KISS-Matcher: Fast and Robust Point Cloud Registration Revisited.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments KISS-Matcher: Fast and Robust Point Cloud Registration Revisited

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:33.067730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577a8a3f-760f-4c90-ab24-901bceef4598 · outbound

This paper cites Coordinated multi-robot exploration,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Coordinated multi-robot exploration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.413445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb23b3ee-55db-4fee-97d2-6b7ad3835018 · outbound

This paper cites Lt-mapper: A modular framework for lidar-based lifelong mapping,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Lt-mapper: A modular framework for lidar-based lifelong mapping,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.263660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88386b80-2416-4b5c-9fa9-a5fbf19ccd84 · outbound

This paper cites Frame: A modular framework for autonomous map-merging: Ad- vancements in the field,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Frame: A modular framework for autonomous map-merging: Ad- vancements in the field,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:37.074790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58d81f66-aed3-4437-9756-b62b06ddf325 · outbound

This paper cites Unified mapping framework for multi-modal lidars in complex and dynamic environments,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Unified mapping framework for multi-modal lidars in complex and dynamic environments,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.996771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed689c60-4902-43d9-9e77-4095229830db · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:33.102692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0802ecd-6f8b-4647-b4cc-2ea80fa13f8f · outbound

This paper cites Delight: An efficient descriptor for global localisation using lidar intensities,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Delight: An efficient descriptor for global localisation using lidar intensities,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.939555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3988ea70-8213-4c03-bcd2-4fa99493ec46 · outbound

This paper cites Lidar iris for loop-closure detection,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Lidar iris for loop-closure detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.915755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73f374fb-d233-4039-9cf5-3cdbca008fb4 · outbound

This paper cites How iris recognition works. the essential guide to image processing,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments How iris recognition works. the essential guide to image processing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.811093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a630f925-ca51-4f5b-b861-22bc18199a6c · outbound

This paper cites Rethinking visual geo-localization for large- scale applications,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Rethinking visual geo-localization for large- scale applications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.616590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7878fbf-f031-45f5-ae83-72326a4bb7f3 · outbound

This paper cites A 3-d scan matching using improved 3-d normal distributions transform for mobile robotic mapping,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments A 3-d scan matching using improved 3-d normal distributions transform for mobile robotic mapping,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.463523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 333d45e8-3864-4473-829a-cc60cbe4b8bf · outbound

This paper cites small gicp: Efficient and parallel algorithms for point cloud registra- tion,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments small gicp: Efficient and parallel algorithms for point cloud registra- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.356645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e80d710-1d4c-4622-8ae8-f3e8d275fdae · outbound

This paper cites Pairwise consistent measurement set maximization for robust multi-robot map merging,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Pairwise consistent measurement set maximization for robust multi-robot map merging,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.249370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 533d2472-39c8-4222-97bc-c5c901e6ebfd · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:33.262600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3518b167-356b-45a2-8947-a14e793a537a · outbound

This paper cites Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.165649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c84e9c2-7f34-4dc2-bee9-457bab25d22a · outbound

This paper cites Kimera- multi: Robust, distributed, dense metric-semantic slam for multi-robot systems,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Kimera- multi: Robust, distributed, dense metric-semantic slam for multi-robot systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.126131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b7377d1-aa50-4570-b1ce-3d85f16cdfee · outbound

This paper cites Towards collaborative simultaneous localization and mapping: a survey of the current research landscape,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Towards collaborative simultaneous localization and mapping: a survey of the current research landscape,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.092047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b525186-e871-4a52-8c35-ee93235961d3 · outbound

This paper cites Correcting laser scanning intensity recorded in a cave environment for high-resolution lithological mapping: A case study of the gouffre georges, france,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Correcting laser scanning intensity recorded in a cave environment for high-resolution lithological mapping: A case study of the gouffre georges, france,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.050331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87b045d5-27c4-41d2-a06a-9cc70568774f · outbound

This paper cites Teaser: Fast and certifiable point cloud registra- tion,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Teaser: Fast and certifiable point cloud registra- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:36.022124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ecabcebd-fe4e-4ebb-93fb-ef6de427d259 · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Fast point feature histograms (fpfh) for 3d registration,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.907331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 619f5a77-e822-4f58-bf9c-876a6c86b347 · outbound

This paper cites Estimating uncertain spatial relationships in robotics,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Estimating uncertain spatial relationships in robotics,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.822252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a558aee1-e20d-46e7-b3a7-7221e41e598e · outbound

This paper cites Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:33.350024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f727e54-85b0-4416-a5df-df87a22578cf · outbound

This paper cites Graco: A multimodal dataset for ground and aerial cooperative localization and mapping,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Graco: A multimodal dataset for ground and aerial cooperative localization and mapping,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.790829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ad5dbdb-70c2-44dc-aad1-0defbf26dc41 · outbound

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

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Least-squares estimation of transformation parameters between two point patterns,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.632765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dea83eeb-a039-406e-82ac-a10fb22deb44 · outbound

This paper cites evo: Python package for the evaluation of odometry and slam.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments evo: Python package for the evaluation of odometry and slam

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.495305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bcfdc48-c509-4ca9-a1cc-0462535cd888 · outbound

This paper cites Efficient variants of the icp algorithm,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Efficient variants of the icp algorithm,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:35.087973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 852714a0-cb23-40cc-9d2a-5e2f0816147b · outbound

This paper cites Linear least-squares optimization for point-to-plane icp surface registration,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Linear least-squares optimization for point-to-plane icp surface registration,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:34.660085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a04f6987-5d14-4a16-a7d0-d28239dfcaad · outbound

This paper cites Generalized-icp.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Generalized-icp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:34.312379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f349a16-807a-46b8-963e-7d7f5d852584 · outbound

This paper cites V oxelized gicp for fast and accurate 3d point cloud registration,.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments V oxelized gicp for fast and accurate 3d point cloud registration,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:34.172291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 155031a7-815c-42c8-84b6-bfeec09b824b · outbound

This paper cites Hintjens, ZeroMQ: messaging for many applications.

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments Hintjens, ZeroMQ: messaging for many applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:33.958321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 634822ed-7e4b-41cc-ac80-8abe37300ebc · inbound

MARSCalib: Multi-robot, Automatic, Robust, Spherical Target-based Extrinsic Calibration in Field and Extraterrestrial Environments cites this paper.

MARSCalib: Multi-robot, Automatic, Robust, Spherical Target-based Extrinsic Calibration in Field and Extraterrestrial Environments SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:08.620291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125fba29-6a92-485b-b6bc-2533fc5ac523 · inbound

Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios cites this paper.

Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.579992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7dfa34ec-4efa-4c6a-bf79-b729f44eec6a · inbound

RadLoc: Radar-based 3-DoF Global Localization via Fast, Robust, and Lightweight Spatial Descriptor Across Diverse Environmental Scenarios cites this paper.

RadLoc: Radar-based 3-DoF Global Localization via Fast, Robust, and Lightweight Spatial Descriptor Across Diverse Environmental Scenarios SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-10T12:57:07.625669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.