Paper Citation Record · LEDGER

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.17531.

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

pith.paper-citation-record.v1
2507.17531 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:49.780421Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

28 of 28 outbound references displayed

verified exact6
verified fuzzy21
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b8f526c-f152-427a-a24e-05f73fc54ed2 · outbound

This paper cites Kilometer-Scale Autonomous Navigation in Subarctic Forests: Challenges and Lessons Learned.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Kilometer-Scale Autonomous Navigation in Subarctic Forests: Challenges and Lessons Learned

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.120534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35f3c988-1a8b-4cfc-9474-22fe7f87eebc · outbound

This paper cites A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.110413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52157122-56ab-4149-b9e0-58cf4334a355 · outbound

This paper cites Mapping Forests Using an Unmanned Ground Vehicle with 3D LiDAR and Graph-SLAM.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Mapping Forests Using an Unmanned Ground Vehicle with 3D LiDAR and Graph-SLAM

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.100504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c85947c-ad51-4844-b9d9-01c1cd17cf88 · outbound

This paper cites A Forest 3-D Lidar SLAM System for Rubber- Tapping Robot Based on Trunk Center Atlas.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment A Forest 3-D Lidar SLAM System for Rubber- Tapping Robot Based on Trunk Center Atlas

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.090568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dede7498-220d-4a34-a570-3a9985bc2ae9 · outbound

This paper cites Robust Normal Vector Estimation in 3D Point Clouds through Iterative Principal Component Analysis.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Robust Normal Vector Estimation in 3D Point Clouds through Iterative Principal Component Analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.079333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d27eeb8-78c9-4f68-b441-46f1d2a595d5 · outbound

This paper cites ROLL: Long-Term Robust LiDAR-based Localization With Temporary Mapping in Changing Environments.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment ROLL: Long-Term Robust LiDAR-based Localization With Temporary Mapping in Changing Environments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.068210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c49bd9d-4395-44ed-9a63-72b1c7dc415f · outbound

This paper cites Comparing ICP variants on real-world data sets: Open-source library and experimental protocol.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Comparing ICP variants on real-world data sets: Open-source library and experimental protocol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.058616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a398c0d6-e817-491e-b0f0-8876332ebd51 · outbound

This paper cites Challenging data sets for point cloud reg- istration algorithms.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Challenging data sets for point cloud reg- istration algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.048370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83c8b967-2b98-40c6-9af3-3cd224bd0420 · outbound

This paper cites University of Michigan North Campus long-term vision and lidar dataset.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment University of Michigan North Campus long-term vision and lidar dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.037955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7677355c-ca64-49fa-8991-f194654a0752 · outbound

This paper cites Boreas: A multi-season autonomous driving dataset.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Boreas: A multi-season autonomous driving dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.028360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c01395ab-9f60-4bc9-bcdd-30ab6f2b4be6 · outbound

This paper cites 4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment 4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.017638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b34565fe-3f7a-4114-a9b4-3168900253be · outbound

This paper cites FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in For\^et Montmorency.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in For\^et Montmorency

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.902019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e8288e0-6b57-4ca3-8ebc-0363e51ac790 · outbound

This paper cites FinnForest dataset: A forest landscape for visual SLAM.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment FinnForest dataset: A forest landscape for visual SLAM

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:50.007125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a8aeb93-d4ce-4dea-b3dd-7a47178d77b7 · outbound

This paper cites Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.884965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faf6cc2d-e867-4305-92cc-0371b491044e · outbound

This paper cites ROVER: A Multi-Season Dataset for Visual SLAM.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment ROVER: A Multi-Season Dataset for Visual SLAM

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.870275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36467f17-3f8f-416e-8621-9d2da7d76afa · outbound

This paper cites VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:49.736806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52de0766-127f-4c1e-8293-7ed8a3a2e31e · outbound

This paper cites VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.845258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d2cf3f5-1ca5-49a7-8662-4f766d7361f4 · outbound

This paper cites CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.996320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d880b320-e647-4dc8-b207-75a0d2d65bad · outbound

This paper cites OutFin, a multi- device and multi-modal dataset for outdoor localization based on the fingerprinting approach.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment OutFin, a multi- device and multi-modal dataset for outdoor localization based on the fingerprinting approach

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.985143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5651f2f0-c90e-4a35-bf2a-f7c0b460a298 · outbound

This paper cites Real-Time, Environmentally-Robust 3D LiDAR Localization.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Real-Time, Environmentally-Robust 3D LiDAR Localization

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.831065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 997a0d7f-0293-40b1-aaa4-9ebd385a4e81 · outbound

This paper cites 3D LiDAR-Based Precision Vehicle Localization with Movable Region Constraints.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment 3D LiDAR-Based Precision Vehicle Localization with Movable Region Constraints

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.974792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b894571a-482d-47df-a9a7-35d7b5d0262b · outbound

This paper cites A Survey on 3D LiDAR Localization for Autonomous Vehicles.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment A Survey on 3D LiDAR Localization for Autonomous Vehicles

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.965215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88a784f3-84bf-4754-a332-306de7496ceb · outbound

This paper cites Real-time LIDAR localization in natural and urban environments.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Real-time LIDAR localization in natural and urban environments

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:49.816532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32dea524-b243-4a54-83a3-e861f54625c1 · outbound

This paper cites 3D LiDAR Mapping in Dynamic Envi- ronments Using a 4D Implicit Neural Representation.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment 3D LiDAR Mapping in Dynamic Envi- ronments Using a 4D Implicit Neural Representation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.955006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b65d5f15-c561-46ed-aaa1-3df2cba172f1 · outbound

This paper cites Are We There Yet? Challenging SeqSLAM on a 3000 km Journey Across All Four Seasons.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Are We There Yet? Challenging SeqSLAM on a 3000 km Journey Across All Four Seasons

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.944235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a065cfa7-fb50-40f4-81a5-e2834f8748cd · outbound

This paper cites Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localiza- tion.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localiza- tion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.933456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 800bd991-09a0-485d-8543-e66d7bcefa08 · outbound

This paper cites Long-Term Visual Localization with Mobile Sensors.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment Long-Term Visual Localization with Mobile Sensors

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.922648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22a10a07-0e09-4150-bf79-e0328deefa66 · outbound

This paper cites State estimation for robotics.

When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment State estimation for robotics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:49.912762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.