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Paper Citation Record · LEDGER

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.02320.

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

pith.paper-citation-record.v1
2608.02320 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T09:24:52.707597Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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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Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 1762efdd-0d32-4525-8492-df9b3b60c3a5 · outbound

This paper cites Learning traversability from point clouds in challenging scenarios,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Learning traversability from point clouds in challenging scenarios,

Reference 1

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Observation c1318e14-b728-42f4-acec-2cf7fec83261 · outbound

This paper cites Attention Is All You Need,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Attention Is All You Need,

Reference 2

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Observation 22b31f38-d9ee-474c-931a-48b3d5277174 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Xgboost: A scalable tree boosting system,

Reference 3

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Observation 14131074-d4b3-47c8-9018-a90444dbe12e · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks KAN: Kolmogorov-Arnold Networks

Reference 4

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Observation 28694ec9-7334-4b00-8757-d52bbf654716 · outbound

This paper cites SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Reference 5

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Observation 2aa67da1-4fb9-4c5d-9d76-5f9a6e0492ea · outbound

This paper cites nuScenes: A Multimodal Dataset for Autonomous Driving,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks nuScenes: A Multimodal Dataset for Autonomous Driving,

Reference 6

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Observation f4254d0e-44f6-4e5d-b14f-632572cc8c01 · outbound

This paper cites Available: https://doi.org/10.5281/zenodo.17243765.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Available: https://doi.org/10.5281/zenodo.17243765

Reference 7

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Observation b9db87d6-67eb-4439-8414-4b13bd5afeac · outbound

This paper cites Pyramidal 3d feature fusion on polar grids for fast and robust traversability analysis on cpu,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Pyramidal 3d feature fusion on polar grids for fast and robust traversability analysis on cpu,

Reference 8

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Observation 5ca1a7aa-7dfb-40e9-8063-f468cfd1547e · outbound

This paper cites Terrain classification using tof sensors for the enhancement of agricultural machinery traversability,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Terrain classification using tof sensors for the enhancement of agricultural machinery traversability,

Reference 9

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Observation 55503104-2099-430e-a7b0-856b95b444fa · outbound

This paper cites Self-supervised learning to visually detect terrain surfaces for autonomous robots operating in forested terrain,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Self-supervised learning to visually detect terrain surfaces for autonomous robots operating in forested terrain,

Reference 10

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Observation e040178d-bc65-441f-9c85-06a32a55801c · outbound

This paper cites P-SVM2: Enhancing LiDAR-based Traversability Analysis with Aug- mented Point Cloud Descriptor for Autonomous Mobile Systems,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks P-SVM2: Enhancing LiDAR-based Traversability Analysis with Aug- mented Point Cloud Descriptor for Autonomous Mobile Systems,

Reference 11

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Observation 6a4de040-269f-4a52-ba3c-7babdfe7140b · outbound

This paper cites Self-supervised classification for planetary rover terrain sensing,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Self-supervised classification for planetary rover terrain sensing,

Reference 12

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Observation b8f7fa86-ad29-45c2-9c8f-48065cb3d5cf · outbound

This paper cites Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3d-lidar data,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3d-lidar data,

Reference 13

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Observation dbb64731-6b76-4a05-8a9d-ef36635f6cc5 · outbound

This paper cites Traversability classification for ugv navigation: a comparison of patch and superpixel representations,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Traversability classification for ugv navigation: a comparison of patch and superpixel representations,

Reference 14

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Observation ba73caa6-57b4-4b03-bad4-85de2e1f5392 · outbound

This paper cites Lsk3dnet: Towards effective and efficient 3d perception with large sparse kernels,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Lsk3dnet: Towards effective and efficient 3d perception with large sparse kernels,

Reference 15

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Observation 97ec0b5a-c506-4004-8ba3-ee2dedd656ad · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Point transformer v3: Simpler faster stronger,

Reference 16

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Observation a2f67a1c-2a79-4aca-9208-d48256235c81 · outbound

This paper cites Exploiting local features and range images for small data real-time point cloud semantic segmentation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Exploiting local features and range images for small data real-time point cloud semantic segmentation,

Reference 17

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Observation 14a1cecd-e305-4b76-b2d6-fc57cb837afd · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 18

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Observation 0db1f7c5-9c87-4a2a-b8a6-eb3ab642d37a · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Rangenet++: Fast and accurate lidar semantic segmentation,

Reference 19

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Observation c5369b3c-193b-43ae-bd46-e37ca08ab4d2 · outbound

This paper cites Lite-hdseg: Lidar semantic segmentation using lite harmonic dense convolutions,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Lite-hdseg: Lidar semantic segmentation using lite harmonic dense convolutions,

Reference 20

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Observation 11a54697-2edd-4ac3-9b38-4e8147b53855 · outbound

This paper cites Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud,

Reference 21

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Observation 953e7831-ce0a-4bde-9dc5-849f4b69cb1e · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,

Reference 22

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Observation 55654728-3d81-4869-859f-32d8de9d6e59 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 23

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Observation 97a58a10-0685-4ef6-a65c-d222708f118d · outbound

This paper cites 3d semantic segmen- tation with submanifold sparse convolutional networks,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks 3d semantic segmen- tation with submanifold sparse convolutional networks,

Reference 24

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Observation 1c354da5-016a-4212-b5ba-e04edc0a57f8 · outbound

This paper cites Foresttrav: 3d lidar-only forest traversability estimation for au- tonomous ground vehicles,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Foresttrav: 3d lidar-only forest traversability estimation for au- tonomous ground vehicles,

Reference 25

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Observation 5148781a-1b46-4ef5-ab35-321c29105eae · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 26

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Observation 7861eb9f-cc48-4457-b7ce-817d8c89390e · outbound

This paper cites Pointnet++: Deep hierar- chical feature learning on point sets in a metric space,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Pointnet++: Deep hierar- chical feature learning on point sets in a metric space,

Reference 27

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Observation e9f0f4d8-4611-433e-8df3-78cea10c30a3 · outbound

This paper cites Randla-net: Efficient semantic segmentation of large- scale point clouds,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Randla-net: Efficient semantic segmentation of large- scale point clouds,

Reference 28

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Observation 8212be21-80fc-4b2d-8ed9-e63e5a5bfd5d · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Kpconv: Flexible and deformable convolution for point clouds,

Reference 29

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Observation 0f9d4386-f288-4504-bf61-d55b03590e79 · outbound

This paper cites Gonet: A semi-supervised deep learning approach for traversability estimation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Gonet: A semi-supervised deep learning approach for traversability estimation,

Reference 30

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Observation 4ef51271-d5cf-43d2-8e03-5f9b8faeeed6 · outbound

This paper cites Vunet: Dynamic scene view synthesis for traversability estimation using an rgb camera,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Vunet: Dynamic scene view synthesis for traversability estimation using an rgb camera,

Reference 31

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Observation 3eeccfa9-bea4-4911-a49b-2dd47ab25fab · outbound

This paper cites Deep visual mpc-policy learning for navigation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Deep visual mpc-policy learning for navigation,

Reference 32

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Observation 167c906e-b22e-4370-b52a-16400d625a1a · outbound

This paper cites Adapnet: Adap- tive semantic segmentation in adverse environmental conditions,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Adapnet: Adap- tive semantic segmentation in adverse environmental conditions,

Reference 33

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Observation 2a9b762c-8f21-4d7b-8602-6e9bd97a27dd · outbound

This paper cites Deep reinforcement learning for safe local planning of a ground vehicle in unknown rough terrain,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Deep reinforcement learning for safe local planning of a ground vehicle in unknown rough terrain,

Reference 34

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Observation 26f97ce9-3ccb-4d6d-9571-23e31171748a · outbound

This paper cites Learning to drive off road on smooth terrain in unstructured environments using an on-board camera and sparse aerial images,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Learning to drive off road on smooth terrain in unstructured environments using an on-board camera and sparse aerial images,

Reference 35

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Observation f6b63732-c561-40f4-9a5a-d85699d90d47 · outbound

This paper cites Learning-based end-to-end path planning for lunar rovers with safety constraints,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Learning-based end-to-end path planning for lunar rovers with safety constraints,

Reference 36

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Observation e4fd3ffd-e0c4-4537-b32c-1cb101e14f69 · outbound

This paper cites Robot navigation of environments with unknown rough terrain using deep reinforcement learning,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Robot navigation of environments with unknown rough terrain using deep reinforcement learning,

Reference 37

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Observation 786b9385-e592-4696-a20a-482bb5111270 · outbound

This paper cites BADGR: An Autonomous Self- Supervised Learning-Based Navigation System,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks BADGR: An Autonomous Self- Supervised Learning-Based Navigation System,

Reference 38

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Observation d22acaf7-9d21-4a4e-9925-53901b9cc366 · outbound

This paper cites Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning,

Reference 39

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Observation f82de61d-1bb7-4d9e-908f-99ef1fef7877 · outbound

This paper cites Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning,

Reference 40

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Observation 1b27f58a-b482-4924-b5ef-b590385680d6 · outbound

This paper cites An autonomous exploration algorithm using environment-robot interacted traversability analysis,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks An autonomous exploration algorithm using environment-robot interacted traversability analysis,

Reference 41

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Observation 4231421b-3aa2-4769-b469-c99489827777 · outbound

This paper cites Reflectivity is all you need!: Advancing lidar semantic segmentation,.

TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks Reflectivity is all you need!: Advancing lidar semantic segmentation,

Reference 42

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