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Paper Citation Record · LEDGER

A Comprehensive Evaluation of LiDAR Odometry Techniques

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2507.16000.

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

pith.paper-citation-record.v1
2507.16000 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:23:56.011893Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:16:03.178661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:16:03.732774Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e2505df-8c9b-42f6-9c9c-249c996ca1ba · outbound

This paper cites LOAM: Lidar Odometry and Mapping in Real-time,.

A Comprehensive Evaluation of LiDAR Odometry Techniques LOAM: Lidar Odometry and Mapping in Real-time,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T15:24:02.869857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cad0f989-c570-43cb-ab7c-053699ae4fda · outbound

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

A Comprehensive Evaluation of LiDAR Odometry Techniques LIO- SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T15:24:02.586914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ca11a4c1-555c-4997-bf23-bcca80806a62 · outbound

This paper cites CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure,.

A Comprehensive Evaluation of LiDAR Odometry Techniques CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure,

Reference 3

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raw_fallback, observed 2026-08-06T15:24:02.294895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ff35106d-cbec-4259-9c19-37f5c9770ea9 · outbound

This paper cites Generalized-icp.

A Comprehensive Evaluation of LiDAR Odometry Techniques Generalized-icp

Reference 4

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raw_fallback, observed 2026-08-06T15:24:02.042995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fce83751-77a7-4346-b729-6770322b06b3 · outbound

This paper cites Review on LiDAR-based SLAM Techniques,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Review on LiDAR-based SLAM Techniques,

Reference 5

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raw_fallback, observed 2026-08-06T15:24:01.760516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8f0525d7-0541-4ace-b40a-ffadc102de44 · outbound

This paper cites 3D L IDAR SLAM : A survey,.

A Comprehensive Evaluation of LiDAR Odometry Techniques 3D L IDAR SLAM : A survey,

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T15:24:01.433450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b99a0d09-02ec-405b-b30f-7c6f3a04b20a · outbound

This paper cites Efficient variants of the ICP algo- rithm,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Efficient variants of the ICP algo- rithm,

Reference 7

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raw_fallback, observed 2026-08-06T15:24:01.171005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0fdb74c1-c8ce-4bc9-b115-06f1a1bb8d56 · outbound

This paper cites LiDAR odometry survey: Recent advancements and remaining challenges,.

A Comprehensive Evaluation of LiDAR Odometry Techniques LiDAR odometry survey: Recent advancements and remaining challenges,

Reference 8

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raw_fallback, observed 2026-08-06T15:24:00.919145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d84cc22a-ee64-4c07-88e8-68abca602349 · outbound

This paper cites LiDAR Odometry Methodologies for Autonomous Driving: A Survey.

A Comprehensive Evaluation of LiDAR Odometry Techniques LiDAR Odometry Methodologies for Autonomous Driving: A Survey

Reference 9

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verified exact
local_arxiv, observed 2026-08-06T15:23:56.625633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ac399c51-e7ae-400e-96da-6b0b503224d1 · outbound

This paper cites KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way,.

A Comprehensive Evaluation of LiDAR Odometry Techniques KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way,

Reference 10

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raw_fallback, observed 2026-08-06T15:24:00.657060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f895b2d8-fbe6-4587-90ed-5d09b67e541d · outbound

This paper cites MULLS: Versatile LiDAR SLAM via multi-metric linear least square,.

A Comprehensive Evaluation of LiDAR Odometry Techniques MULLS: Versatile LiDAR SLAM via multi-metric linear least square,

Reference 11

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raw_fallback, observed 2026-08-06T15:24:00.397075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a8f99df0-9bfb-4584-a388-a142389bca14 · outbound

This paper cites Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM.

A Comprehensive Evaluation of LiDAR Odometry Techniques Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM

Reference 12

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no resolver link, observed 2026-08-06T15:23:54.222421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8325ae66-b7a3-43f1-989e-d66fafdf7a34 · outbound

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

A Comprehensive Evaluation of LiDAR Odometry Techniques Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Chal- lenging Environments,

Reference 13

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 27d3edcc-9d22-4f68-a8ab-32cfb20b1982 · outbound

This paper cites Evaluation of the ICP Algorithm in 3D Point Cloud Registration,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Evaluation of the ICP Algorithm in 3D Point Cloud Registration,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T15:23:59.834205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6396a632-3035-4344-b000-07332cb236c1 · outbound

This paper cites Mad-icp: It is all about matching data–robust and informed lidar odometry,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Mad-icp: It is all about matching data–robust and informed lidar odometry,

Reference 15

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raw_fallback, observed 2026-08-06T15:23:59.578035Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f3ab97df-ded5-4c23-9d9f-0ad1a11efd65 · outbound

This paper cites Discrete differential geometry: An applied introduction,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Discrete differential geometry: An applied introduction,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5c1ab0a4-4b28-4940-bb73-13025c72bdf3 · outbound

This paper cites The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth,.

A Comprehensive Evaluation of LiDAR Odometry Techniques The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth,

Reference 17

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raw_fallback, observed 2026-08-06T15:23:59.024221Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:54.747744Z digest=sha256:e22f8a7ce6d9414310e490c2f1144f52c52a1aef36587557cdfd6e56602923fa

Observation c240b403-350e-4565-9f8a-c0eebd2bb869 · outbound

This paper cites Multi-Camera LiDAR Inertial Extension to the Newer College Dataset.

A Comprehensive Evaluation of LiDAR Odometry Techniques Multi-Camera LiDAR Inertial Extension to the Newer College Dataset

Reference 18

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no resolver link, observed 2026-08-06T15:23:54.884917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:23:54.884917Z digest=sha256:952dc2a153d1715b25d6e3db99529732a8a5290ca0bbbd0b54bf19a1834e2e55

Observation f751951b-786b-4778-bf72-1092d4256811 · outbound

This paper cites Hilti-Oxford Dataset: A Millimeter- Accurate Benchmark for Simultaneous Localization and Mapping,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Hilti-Oxford Dataset: A Millimeter- Accurate Benchmark for Simultaneous Localization and Mapping,

Reference 19

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raw_fallback, observed 2026-08-06T15:23:58.731931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.018270Z digest=sha256:6d59fb9a8c1a7f765a6a5c9e77e89f47432e3f9307054842821b08f4ea370a1a

Observation 7cf3e6d8-8bc3-480d-845d-c55d128fe0c2 · outbound

This paper cites The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods.

A Comprehensive Evaluation of LiDAR Odometry Techniques The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods

Reference 20

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local_arxiv, observed 2026-08-06T15:23:56.363228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.179010Z digest=sha256:969c2841c5e547625d64a62863ff8e0e5ef2d2491f748f2f78bdb1c8ba2ed7d3

Observation e31b9bbd-6c29-490c-9b78-662410ff71a4 · outbound

This paper cites MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception,.

A Comprehensive Evaluation of LiDAR Odometry Techniques MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T15:23:58.363482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.284779Z digest=sha256:797d65e5755fd75a3bf9f0b790648c3a2cc963f9167b8889bea5d63150bb86c2

Observation febf1ca5-b63d-4e77-8515-745a86a1313f · outbound

This paper cites HeLiPR: Heterogeneous LiDAR dataset for inter-LiDAR place recognition under spatiotemporal variations,.

A Comprehensive Evaluation of LiDAR Odometry Techniques HeLiPR: Heterogeneous LiDAR dataset for inter-LiDAR place recognition under spatiotemporal variations,

Reference 22

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raw_fallback, observed 2026-08-06T15:23:58.084375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.456615Z digest=sha256:4a68f159f3c28571fa85308848848b0bb2d8951fa514dd57d775e01dedac589a

Observation 7d56484d-71b8-4553-94ea-6071ac455238 · outbound

This paper cites Botanicgarden: A high-quality dataset for robot navigation in unstructured natural environments,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Botanicgarden: A high-quality dataset for robot navigation in unstructured natural environments,

Reference 23

Resolution
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raw_fallback, observed 2026-08-06T15:23:57.813601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.559740Z digest=sha256:14d8fb78a5c3d64f59bb00da9af11a6116e009eada0eb209b6b3eed4471b6662

Observation 47f491c5-0f2a-4d4c-bf17-738551c60274 · outbound

This paper cites On-Manifold Preintegration for Real-Time Visual–Inertial Odometry,.

A Comprehensive Evaluation of LiDAR Odometry Techniques On-Manifold Preintegration for Real-Time Visual–Inertial Odometry,

Reference 24

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raw_fallback, observed 2026-08-06T15:23:57.533484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.708369Z digest=sha256:8792b6ee465e2a893b7f5afe5df0c4966efd1c66a67f60f1d6f08f5230ef623a

Observation 9356c47a-aecb-4537-bc93-db0b3070f0e8 · outbound

This paper cites On measuring the accuracy of SLAM algorithms,.

A Comprehensive Evaluation of LiDAR Odometry Techniques On measuring the accuracy of SLAM algorithms,

Reference 25

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raw_fallback, observed 2026-08-06T15:23:57.250703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:55.876295Z digest=sha256:713aec2f723f053bee5ea3732c344ee08fcd9b8d79267e96f76a690b021112a0

Observation 25cc923f-2503-4026-8c72-b26cce231b08 · outbound

This paper cites Vbr: a vision benchmark in rome,.

A Comprehensive Evaluation of LiDAR Odometry Techniques Vbr: a vision benchmark in rome,

Reference 26

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raw_fallback, observed 2026-08-06T15:23:56.915706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:23:56.011893Z digest=sha256:5a4d8623d2070b816b6cd3afc1459250ab8a0154509286dad83708bbe5a526eb

Pith citing papers

Observation 98fb3496-88a8-4992-8353-306cca82ef53 · inbound

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization cites this paper.

COSMO-Bench: A Benchmark for Collaborative SLAM Optimization A Comprehensive Evaluation of LiDAR Odometry Techniques

Reference 34

Resolution
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local_arxiv, observed 2026-08-05T17:16:03.780157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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