Paper Citation Record · LEDGER

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2501.08672.

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

pith.paper-citation-record.v1
2501.08672 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:02.051974Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:27:02.677818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.301643Z

Reference resolution

67 of 67 outbound references displayed

verified exact6
verified fuzzy37
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa4ff633-a16b-4cb1-9cae-9781ea51c945 · outbound

This paper cites 3D Gaussian Splatting Tutorial,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping 3D Gaussian Splatting Tutorial,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.525725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd281df8-443d-4e70-966c-893d724d2b78 · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.618941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6d338b-64ef-4e03-9fe7-c46d2eeda5d1 · outbound

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

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Fast-lio2: Fast direct lidar- inertial odometry,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.630973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e6f2f2-9cc8-40a3-830b-b70b307f4f99 · outbound

This paper cites R2live: A robust, real-time, lidar-inertial-visual tightly-coupled state estimator and mapping,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping R2live: A robust, real-time, lidar-inertial-visual tightly-coupled state estimator and mapping,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.482821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb7da588-6d9e-4996-9260-67e1073a5048 · outbound

This paper cites R3live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping R3live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.463765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aab915fc-75c9-4cd2-8d44-336374f7f214 · outbound

This paper cites R$^3$LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping R$^3$LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.453868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3c526b9-233a-4827-a648-7ff3a675e0b9 · outbound

This paper cites Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.444327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90d5c865-b89c-46bd-bea0-75b6bb121381 · outbound

This paper cites Fast-livo2: Fast, direct lidar-inertial-visual odometry,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Fast-livo2: Fast, direct lidar-inertial-visual odometry,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.426872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 762ec525-fca6-46e3-99fd-3ff3a77ddb23 · outbound

This paper cites Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fusion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.683710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3059c0-8939-4706-ab47-4ab8ca668b1e · outbound

This paper cites SVO: Semidirect visual odometry for monocular and multicamera systems,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping SVO: Semidirect visual odometry for monocular and multicamera systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.396683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b9a3e91-553a-46f5-9cd4-2810a2aa6802 · outbound

This paper cites Immesh: An immediate lidar localization and meshing framework,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Immesh: An immediate lidar localization and meshing framework,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.705203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18662a50-c4ed-45fd-9ccb-190917a7f608 · outbound

This paper cites CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.427213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc5277d1-519b-4daa-b031-9a832117a509 · outbound

This paper cites Mesh-loam: Real-time mesh-based lidar odometry and mapping,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Mesh-loam: Real-time mesh-based lidar odometry and mapping,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.367429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eaa11dea-0985-48f4-9c20-94ee851db6c4 · outbound

This paper cites Slamesh: Real-time lidar simultaneous localization and meshing,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Slamesh: Real-time lidar simultaneous localization and meshing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.348015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a7971d1-cb39-41ec-b7ec-4da7312433cc · outbound

This paper cites Simplified unstructured-mesh based uav path planning method using octree overlap detection,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Simplified unstructured-mesh based uav path planning method using octree overlap detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.330653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3c3fb76-b79a-4aee-9d53-9dab278565b2 · outbound

This paper cites Pmds-slam: Probability mesh enhanced semantic slam in dynamic environments,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Pmds-slam: Probability mesh enhanced semantic slam in dynamic environments,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.312848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 630d1a4f-d17c-4a52-a839-ea62ee9d60f7 · outbound

This paper cites Sp-slam: Surfel-point simultaneous localization and mapping,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Sp-slam: Surfel-point simultaneous localization and mapping,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.290000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f799ca90-1e66-46bc-8b6f-dea7ccb434c9 · outbound

This paper cites Real-time multi-adaptive-resolution-surfel 6d lidar odometry using continuous-time trajectory optimization,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Real-time multi-adaptive-resolution-surfel 6d lidar odometry using continuous-time trajectory optimization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.266763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 427b0c41-c9c0-442a-8eb4-fa3f11fe985c · outbound

This paper cites Slict: Multi- input multi-scale surfel-based lidar-inertial continuous-time odometry and mapping,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Slict: Multi- input multi-scale surfel-based lidar-inertial continuous-time odometry and mapping,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.248613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d25af9fc-c00f-4add-86e0-0e4a6377b940 · outbound

This paper cites Real-time scalable dense surfel mapping,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Real-time scalable dense surfel mapping,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.231987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04501cea-8c15-49da-9ed0-2bd2b82b204f · outbound

This paper cites Surfelnerf: Neural surfel radiance fields for online photorealistic reconstruction of indoor scenes,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Surfelnerf: Neural surfel radiance fields for online photorealistic reconstruction of indoor scenes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.215611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abbac9ea-563d-4348-9931-40585377e269 · outbound

This paper cites Autonomous aerial robot using dual-fisheye cameras,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Autonomous aerial robot using dual-fisheye cameras,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.196956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c2267c8-89d0-4fce-8219-ac456d246605 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.789822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3966bc9a-d93d-4a30-8bc9-0c543954fbee · outbound

This paper cites Mildenhall, P.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Mildenhall, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.168943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44a18739-eb94-43e4-920d-beecc7d3d162 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping 3d gaussian splatting for real-time radiance field rendering,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.802903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 441764d7-72d4-4e9a-bfd6-2c76aabf3710 · outbound

This paper cites A hierarchical 3d gaussian representation for real-time rendering of very large datasets,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping A hierarchical 3d gaussian representation for real-time rendering of very large datasets,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.135773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f96830fb-2859-4053-8955-6f2bca157b65 · outbound

This paper cites iMAP: Implicit mapping and positioning in real-time,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping iMAP: Implicit mapping and positioning in real-time,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.114418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8ca0822-b768-4905-a9f4-4b3e1060d247 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Nice-slam: Neural implicit scalable encoding for slam,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.089552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d3f7499-f575-448e-a93d-0b3d6d575f44 · outbound

This paper cites Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.071130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dff5fe00-a8d2-441a-9d3f-7986e588ceff · outbound

This paper cites Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:03.051144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4043a339-bdfe-42f6-83e1-25d8693e54e6 · outbound

This paper cites UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.402698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 187167a2-6d15-4447-aee2-0f3ed8e9658a · outbound

This paper cites Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.844718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b27df7-82ef-4940-a25d-e3e6c3e1a869 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Splatam: Splat track & map 3d gaussians for dense rgb-d slam,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.850346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399914e1-bce2-4a12-b591-2301bf81ff8c · outbound

This paper cites Gs-slam: Dense visual slam with 3d gaussian splatting,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Gs-slam: Dense visual slam with 3d gaussian splatting,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.856821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247377c0-fecf-4f9d-a4eb-63757ea2ec39 · outbound

This paper cites Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.996228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 930452c4-f90b-4d38-a608-a9f16006b2ed · outbound

This paper cites Liv-gs: Lidar-vision integration for 3d gaussian splatting slam in outdoor environments,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Liv-gs: Lidar-vision integration for 3d gaussian splatting slam in outdoor environments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.968388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff7815bb-9eda-45b4-98c6-ae8f137a92e0 · outbound

This paper cites LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.876334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1adf326f-3c98-4154-9834-dd139e75bf4c · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Instant neural graphics primitives with a multiresolution hash encoding,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.883188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764d4db1-9672-4ac6-b3d9-dc6c622e543e · outbound

This paper cites ORB-SLAM3: An accurate open-source library for visual, visual-inertial and multi-map SLAM,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping ORB-SLAM3: An accurate open-source library for visual, visual-inertial and multi-map SLAM,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.937995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 915ee780-5760-45c2-ae9f-3e604045d98a · outbound

This paper cites H2-mapping: Real-time dense mapping using hierarchical hybrid rep- resentation,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping H2-mapping: Real-time dense mapping using hierarchical hybrid rep- resentation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.908462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c8d031b-22d7-42cb-814b-2d36ebd133ae · outbound

This paper cites H3-Mapping: Quasi-Heterogeneous Feature Grids for Real-time Dense Mapping Using Hierarchical Hybrid Representation.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping H3-Mapping: Quasi-Heterogeneous Feature Grids for Real-time Dense Mapping Using Hierarchical Hybrid Representation

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.248969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 011f6632-19f1-4446-904a-e3ef204846ae · outbound

This paper cites Swift- mapping: Online neural implicit dense mapping in urban scenes,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Swift- mapping: Online neural implicit dense mapping in urban scenes,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.884903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ef71ade-8eca-4930-9fc7-b665063f269d · outbound

This paper cites MotionGS : Compact Gaussian Splatting SLAM by Motion Filter.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping MotionGS : Compact Gaussian Splatting SLAM by Motion Filter

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.221837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 808a6c9b-09ba-4af7-8895-8967ab6c764e · outbound

This paper cites Rtg- slam: Real-time 3d reconstruction at scale using gaussian splatting,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Rtg- slam: Real-time 3d reconstruction at scale using gaussian splatting,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.854344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abdcc05f-d7a5-4f37-8a76-f197dad2546f · outbound

This paper cites Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.923335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb2d2d7-0344-4c7e-ba3b-ba257f244dbe · outbound

This paper cites Real- time view synthesis for large scenes with millions of square meters,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Real- time view synthesis for large scenes with millions of square meters,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.831333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35b1c361-ed48-4259-a8c0-b96d74a5ce12 · outbound

This paper cites Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.934273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3411eda0-a0ff-4612-b8ef-154448a77953 · outbound

This paper cites Letsgo: Large-scale garage modeling and rendering via lidar-assisted gaussian primitives,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Letsgo: Large-scale garage modeling and rendering via lidar-assisted gaussian primitives,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.940336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c3dc73-9867-4c7b-b6a8-ae1cb09aa24b · outbound

This paper cites LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.945257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f402197f-ecba-4e20-8a7f-8dcba6179781 · outbound

This paper cites Photo-slam: Real-time simultaneous localization and photorealistic mapping for monocular, stereo, and rgb-d cameras,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Photo-slam: Real-time simultaneous localization and photorealistic mapping for monocular, stereo, and rgb-d cameras,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.804295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4ddb943-65ad-4a59-bb5b-ee6e51cce00d · outbound

This paper cites Gaussian Splatting SLAM,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Gaussian Splatting SLAM,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.956494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b3bb76-9577-4211-9fd5-b7cfb549ef8a · outbound

This paper cites Lic-fusion: Lidar- inertial-camera odometry,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Lic-fusion: Lidar- inertial-camera odometry,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.766742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f0eb61a-3e96-44bc-b157-5dbb39bebbbd · outbound

This paper cites Camvox: A low-cost and accurate lidar-assisted visual slam system,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Camvox: A low-cost and accurate lidar-assisted visual slam system,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.745557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4866f3a9-1b32-4739-90ad-5018abefde7c · outbound

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

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Lvi-sam: Tightly-coupled lidar-visual-inertial odometry via smoothing and mapping,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.972646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eaf1379-921e-46ce-921a-8329d136b9d8 · outbound

This paper cites Rollvox: Real-time and high- quality lidar colorization with rolling shutter camera,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Rollvox: Real-time and high- quality lidar colorization with rolling shutter camera,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.706788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d35a10b-d231-4844-b3f8-7c38ace3bc3a · outbound

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

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Efficient and probabilistic adaptive voxel mapping for accurate online lidar odometry,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.982975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1d00c6-ab26-4b8e-998a-24cc1361f1fa · outbound

This paper cites Surface splatting,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Surface splatting,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:01.987995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3092bef-ce96-4e41-885d-b94154d7036f · outbound

This paper cites MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:26:02.136236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8af9df71-71fc-4f90-8425-d4a126d79dec · outbound

This paper cites Evaluation of combined time-offset estimation and hand- eye calibration on robotic datasets,.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Evaluation of combined time-offset estimation and hand- eye calibration on robotic datasets,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.643642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04c07ec2-d369-492a-9382-72475dca95fb · outbound

This paper cites $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:02.009210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5beb2da7-b044-465b-9933-028c85b3a0a1 · outbound

This paper cites an unresolved cited work.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:26:02.623963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e2a303d-3007-4896-8503-dba7dbf30f47 · outbound

This paper cites Camera-IMU Transform Jacobians To complete the above chains, we need to derive ∂CRW ∂W RI , ∂CtW ∂W tI , and ∂CRW ∂W tI using the perturbation method.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Camera-IMU Transform Jacobians To complete the above chains, we need to derive ∂CRW ∂W RI , ∂CtW ∂W tI , and ∂CRW ∂W tI using the perturbation method

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.598289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8458bbd7-92c5-4f78-9f20-28d316ecaa10 · outbound

This paper cites This equation can be decomposed into rotation and translation parts: (Exp(δφ∧)CRW ) −1CRI = W RI · Exp(δR∧) CRW T (Exp(−δφ∧)(CtI − δt)CtW ) = (W tI + δρ) (23).

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping This equation can be decomposed into rotation and translation parts: (Exp(δφ∧)CRW ) −1CRI = W RI · Exp(δR∧) CRW T (Exp(−δφ∧)(CtI − δt)CtW ) = (W tI + δρ) (23)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.573963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3b68202-fac6-478e-9e37-b0797a735fd6 · outbound

This paper cites an unresolved cited work.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:26:02.545575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7217d4ac-fcd7-467b-8db3-daeea83ea668 · outbound

This paper cites IESKF Update Framework.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping IESKF Update Framework

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:26:02.513753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6f154de-1323-4533-abd8-6ebc7503ec3f · outbound

This paper cites an unresolved cited work.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:26:02.492666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7528dffc-fbc0-4b3c-acc3-a61c0510e8e0 · outbound

This paper cites an unresolved cited work.

GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:26:02.472583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 6645c958-6ea1-4ce0-9981-501cb9684601 · inbound

VBGS-SLAM: Variational Bayesian Gaussian Splatting Simultaneous Localization and Mapping cites this paper.

VBGS-SLAM: Variational Bayesian Gaussian Splatting Simultaneous Localization and Mapping GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:58:15.889839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93ad6835-a493-4bb7-ab4d-ef475d1e6050 · inbound

LIT-GS: LiDAR-Inertial-Thermal Gaussian Splatting for Illumination-Robust Mapping cites this paper.

LIT-GS: LiDAR-Inertial-Thermal Gaussian Splatting for Illumination-Robust Mapping GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:33.304396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.