Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:49.780421Z
Paper Citation Record · LEDGER
When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment
As of 19 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.