Paper Citation Record · LEDGER

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.14355.

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

pith.paper-citation-record.v1
2508.14355 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:40:40.425631Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy29
unresolved1
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e65f2c5d-b368-4b7c-933f-3b7483dc5383 · outbound

This paper cites Autonomous navigation and mapping in underground mines using aerial robots,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Autonomous navigation and mapping in underground mines using aerial robots,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.864930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19bbe6eb-4781-41d1-aa66-e3adb6a368c7 · outbound

This paper cites LOAM: Lidar odometry and mapping in real-time,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy LOAM: Lidar odometry and mapping in real-time,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.756022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7354fe7-f919-43e5-95aa-31bf75b52171 · outbound

This paper cites Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.601971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c6e4db8-68df-4d44-a0a8-04e1bb006470 · outbound

This paper cites Fast-lio2: Fast direct lidar-inertial odometry,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Fast-lio2: Fast direct lidar-inertial odometry,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.458183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c888f55-6f61-4f72-a8f1-483e00291e8d · outbound

This paper cites Efficient and probabilistic adaptive voxel mapping for accurate online LiDAR odometry,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Efficient and probabilistic adaptive voxel mapping for accurate online LiDAR odometry,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.280733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46e122ba-8dba-4bc9-aa7c-faf3b3cfa2bb · outbound

This paper cites A LiDAR-inertial odometry with principled uncertainty modeling,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy A LiDAR-inertial odometry with principled uncertainty modeling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:45.110935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8eaf5f77-e250-4fc9-a514-fb81d414e65a · outbound

This paper cites Present and future of SLAM in extreme environments: The DARPA SubT challenge,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Present and future of SLAM in extreme environments: The DARPA SubT challenge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.955154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a90c4d7f-435a-4040-ba84-be5b0828c81b · outbound

This paper cites DARE-SLAM: Degeneracy-aware and re- silient loop closing in perceptually-degraded environments,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy DARE-SLAM: Degeneracy-aware and re- silient loop closing in perceptually-degraded environments,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.768378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc531ddc-3a13-431a-a8a3-e23d786df9e0 · outbound

This paper cites Probabilistic degeneracy de- tection for point-to-plane error minimization,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Probabilistic degeneracy de- tection for point-to-plane error minimization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.589345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a503ffb-4d65-43bb-92d7-e36f7ebcbf20 · outbound

This paper cites A Real-Time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy A Real-Time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.432126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a2438eb0-b27c-4916-9685-10d29cadbe73 · outbound

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

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:40:38.330009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a405dad-4107-4e8d-8907-b3bf364a5c9e · outbound

This paper cites X-ICP: Localizability-aware LiDAR registration for robust localization in extreme environments,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy X-ICP: Localizability-aware LiDAR registration for robust localization in extreme environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.232812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ce4144f-a169-44e7-99b1-d69e41ea2bbb · outbound

This paper cites GenZ-ICP: General- izable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy GenZ-ICP: General- izable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:44.071249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c07170f4-6e6f-4d57-be33-89fcb476bf1d · outbound

This paper cites Method for registration of 3-D shapes,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Method for registration of 3-D shapes,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.908108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9cd8cbf6-da9a-4956-a6c5-b8117f86e947 · outbound

This paper cites An ICP variant using a point-to-line metric,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy An ICP variant using a point-to-line metric,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.756443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b54fc04-4b14-460a-a6e3-614c6af8b3ff · outbound

This paper cites Kiss-ICP: In defense of point-to-point ICP–simple, accurate, and robust registration if done the right way,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Kiss-ICP: In defense of point-to-point ICP–simple, accurate, and robust registration if done the right way,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.609688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6c32627-2324-4b50-a4a5-089a225024ae · outbound

This paper cites Teaser: Fast and certi- fiable point cloud registration,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Teaser: Fast and certi- fiable point cloud registration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.470682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 937a8ac0-643d-4273-a1ed-50f9f3f8224e · outbound

This paper cites RMS: Redundancy- Minimizing Point Cloud Sampling for Real-Time Pose Estimation,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy RMS: Redundancy- Minimizing Point Cloud Sampling for Real-Time Pose Estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.305900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ce944b5-399a-4636-aa2a-51514ee36422 · outbound

This paper cites Efficient surfel-based SLAM using 3D laser range data in urban environments,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Efficient surfel-based SLAM using 3D laser range data in urban environments,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:43.096875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6c26b44-a8ae-466c-9361-278e83d7ad49 · outbound

This paper cites Point set registration: Coherent point drift,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Point set registration: Coherent point drift,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.885033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be9c507b-f139-4cee-a4d3-a1a4d7ef174d · outbound

This paper cites PointDSC: Robust point cloud registration using deep spatial consistency,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy PointDSC: Robust point cloud registration using deep spatial consistency,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.740335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1413fa1b-4151-49c2-a4df-9d0f37d9c1d7 · outbound

This paper cites Suma++: Efficient lidar- based semantic slam,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Suma++: Efficient lidar- based semantic slam,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.585178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9749ec07-274c-4a23-a09e-cd2f73ce4272 · outbound

This paper cites Geometrically stable sampling for the ICP algorithm,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Geometrically stable sampling for the ICP algorithm,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.406213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6cd4c404-b0db-4ba1-bdb1-e343a3e9a38d · outbound

This paper cites Predicting align- ment risk to prevent localization failure,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Predicting align- ment risk to prevent localization failure,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.205549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c61e843-a887-49e6-a359-9b3c580501a0 · outbound

This paper cites A prediction method of localizability based on deep learning,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy A prediction method of localizability based on deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:42.041520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 682a2881-1e0c-4aa9-848d-92617ae922e4 · outbound

This paper cites Complementary multi–modal sensor fusion for re- silient robot pose estimation in subterranean environments,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Complementary multi–modal sensor fusion for re- silient robot pose estimation in subterranean environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:41.869779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9356e8c-c900-4b74-8d72-c84dededb662 · outbound

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

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy On degeneracy of optimization-based state estimation problems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:41.573665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 130d2983-3c0b-4bef-bb71-a4a66761b053 · outbound

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

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:40:40.638424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51a5e29b-9f2d-4ae0-bca6-d3132f681c4a · outbound

This paper cites SubT-MRS dataset: Pushing SLAM towards all-weather environments,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy SubT-MRS dataset: Pushing SLAM towards all-weather environments,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:41.388204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64d19150-4fa4-4abd-8980-acce2673ac26 · outbound

This paper cites ECMD: An event-centric multisensory driving dataset for SLAM,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy ECMD: An event-centric multisensory driving dataset for SLAM,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:41.139914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 583c5992-cd32-44d8-93d0-f8fab369bd8d · outbound

This paper cites evo: Python package for the evaluation of odome- try and SLAM,.

D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy evo: Python package for the evaluation of odome- try and SLAM,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:40:40.827156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.