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Paper Citation Record · LEDGER

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework

As of 24 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2411.17928.

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

pith.paper-citation-record.v1
2411.17928 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:46:07.893963Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:13.070561Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:45:13.119340Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8321e87-8547-409f-ab77-39b514e4391c · outbound

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

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1a206a03-5978-4151-978e-506f6bb732d7 · outbound

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

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Fast-lio2: Fast direct lidar-inertial odometry,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d21722a4-b72a-4b29-be04-2acc3e508896 · outbound

This paper cites Robust odometry and mapping for multi-lidar systems with online extrinsic calibration,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Robust odometry and mapping for multi-lidar systems with online extrinsic calibration,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c8d5be19-ae78-403f-b8fd-878dc5ecf1f2 · outbound

This paper cites MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

Reference 4

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no resolver link, observed 2026-08-12T11:46:07.764002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fcbd2ee8-298c-4ad4-ae98-ed01e47e736c · outbound

This paper cites evo: Python package for the evaluation of odometry and slam.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework evo: Python package for the evaluation of odometry and slam

Reference 5

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unresolved
no resolver link, observed 2026-08-12T11:46:07.769290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:46:07.769290Z digest=sha256:92c77231d2cc06b0e7f54153a759587f9dfa3396c811c401288cde7417012dfc

Observation 32ede6dd-92aa-4f89-ab3c-8a3f0fff025c · outbound

This paper cites A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fef7b6de-3e1e-4765-ae7b-1730cbc0ac88 · outbound

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

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Multi-Camera LiDAR Inertial Extension to the Newer College Dataset

Reference 7

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unresolved
no resolver link, observed 2026-08-12T11:46:07.778974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44a20b94-1565-4c29-8bf8-43e87487aa1a · outbound

This paper cites The newer college dataset: Handheld lidar, inertial and vision with ground truth,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework The newer college dataset: Handheld lidar, inertial and vision with ground truth,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1814cb66-6402-46f2-950b-2f2a50efcadc · outbound

This paper cites Fusionportable: A multi-sensor campus-scene dataset for evaluation of localization and mapping accuracy on diverse platforms,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Fusionportable: A multi-sensor campus-scene dataset for evaluation of localization and mapping accuracy on diverse platforms,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a87007c-37c8-4781-896a-08bbb5c88bff · outbound

This paper cites Paloc: Advancing slam benchmarking with prior-assisted 6-dof trajectory generation and uncertainty estimation,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Paloc: Advancing slam benchmarking with prior-assisted 6-dof trajectory generation and uncertainty estimation,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 21dec19b-552e-4396-b53d-4fd0adcc4b72 · outbound

This paper cites Evaluation of registration methods for sparse 3d laser scans,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Evaluation of registration methods for sparse 3d laser scans,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9bf1d4d2-4c38-4a90-9070-425baa86f0c1 · outbound

This paper cites Density-aware chamfer distance as a comprehensive metric for point cloud completion,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Density-aware chamfer distance as a comprehensive metric for point cloud completion,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 08c2ede2-a0f4-4d2f-94ab-c2709705ba8b · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c162ef6b-bef0-4df0-b21f-79c287ed2656 · outbound

This paper cites Point-set distances for learning representations of 3d point clouds,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Point-set distances for learning representations of 3d point clouds,

Reference 14

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raw_fallback, observed 2026-08-12T11:46:08.244028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ea6b42dd-7b19-4e5b-b59d-c7a007a76f81 · outbound

This paper cites Com- paring images using the hausdorff distance,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Com- paring images using the hausdorff distance,

Reference 15

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raw_fallback, observed 2026-08-12T11:46:08.226074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 66ac48a5-ec02-4e57-9420-107d9c8a024c · outbound

This paper cites Lt-mapper: A modular framework for lidar-based lifelong mapping,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Lt-mapper: A modular framework for lidar-based lifelong mapping,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7365b374-4882-434b-a9a4-54c668cbe8b3 · outbound

This paper cites Globally consistent 3d lidar mapping with gpu- accelerated gicp matching cost factors,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Globally consistent 3d lidar mapping with gpu- accelerated gicp matching cost factors,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 23a02397-f129-40a2-b452-c630e14f93a8 · outbound

This paper cites Large-scale lidar consistent mapping using hierarchical lidar bundle adjustment,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Large-scale lidar consistent mapping using hierarchical lidar bundle adjustment,

Reference 18

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raw_fallback, observed 2026-08-12T11:46:08.180135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f5944140-9dc8-41d9-82ad-0bfa858bfe29 · outbound

This paper cites Point cloud registration based on gaussian mix- tures and pairwise wasserstein distances,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Point cloud registration based on gaussian mix- tures and pairwise wasserstein distances,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8f96ba53-f193-49af-9545-5b2a79deb2e8 · outbound

This paper cites A method for registration of 3-d shapes,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework A method for registration of 3-d shapes,

Reference 20

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no resolver link, observed 2026-08-12T11:46:07.839630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f474a5ee-2936-4d10-b40e-0a2ec42762ff · outbound

This paper cites Generalized-icp.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Generalized-icp

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3bc72872-7063-4ff2-ab86-ee09ec2805bf · outbound

This paper cites The three-dimensional normal-distributions trans- form: an efficient representation for registration, surface analysis, and loop detection,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework The three-dimensional normal-distributions trans- form: an efficient representation for registration, surface analysis, and loop detection,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 40a4db47-1557-4a96-bf40-d44ec9fea29e · outbound

This paper cites V oxelized gicp for fast and accurate 3d point cloud registration,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework V oxelized gicp for fast and accurate 3d point cloud registration,

Reference 23

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raw_fallback, observed 2026-08-12T11:46:08.116302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d62a730e-0984-4cf7-92a8-e442e52704b8 · outbound

This paper cites Litamin2: Ultra light lidar-based slam using geometric approximation applied with kl-divergence,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Litamin2: Ultra light lidar-based slam using geometric approximation applied with kl-divergence,

Reference 24

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raw_fallback, observed 2026-08-12T11:46:08.103037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c387fece-9683-43bc-a95e-a7fa76830caf · outbound

This paper cites On bundle adjustment for multiview point cloud registration,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework On bundle adjustment for multiview point cloud registration,

Reference 25

Resolution
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raw_fallback, observed 2026-08-12T11:46:08.088216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4283b30b-7363-4db0-8bc9-d597e50e7d85 · outbound

This paper cites Geometric inlier selection for robust rigid registration with application to blade surfaces,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Geometric inlier selection for robust rigid registration with application to blade surfaces,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-12T11:46:08.072507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6d97140b-cdfd-43f5-86a3-e3c005697622 · outbound

This paper cites Globally optimal symbolic hand-eye calibration,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Globally optimal symbolic hand-eye calibration,

Reference 27

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raw_fallback, observed 2026-08-12T11:46:08.058254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e1c6cf14-836f-41db-9f7e-c5e598c7a4d0 · outbound

This paper cites Generalized n-dimensional rigid registration: Theory and applications,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Generalized n-dimensional rigid registration: Theory and applications,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:46:08.045129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 370baab8-65f9-4f41-b527-9598977f282c · outbound

This paper cites Fusionportablev2: A unified multi-sensor dataset for generalized slam across diverse platforms and scalable environments,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Fusionportablev2: A unified multi-sensor dataset for generalized slam across diverse platforms and scalable environments,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:46:08.032076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5a15f6ef-ed5b-4c38-841f-fbfcd388f127 · outbound

This paper cites A benchmark for multi-modal lidar slam with ground truth in gnss-denied environments,.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework A benchmark for multi-modal lidar slam with ground truth in gnss-denied environments,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:46:08.015318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a31b0438-fcd9-422a-a392-cba5282b4db0 · outbound

This paper cites MS-Mapping: Multi-session LiDAR Mapping with Wasserstein-based Keyframe Selection.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework MS-Mapping: Multi-session LiDAR Mapping with Wasserstein-based Keyframe Selection

Reference 31

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local_arxiv, observed 2026-08-12T11:46:07.958185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T11:46:07.890034Z digest=sha256:98ab9f6f9f88bf61f0a5c5e46ca0c4c0f8f927f675e028972b6454dfbbbbf0d7

Observation fa466685-1f52-44eb-b559-cf5bf9a53e91 · outbound

This paper cites Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios.

MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios

Reference 32

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no resolver link, observed 2026-08-12T11:46:07.893963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:46:07.893963Z digest=sha256:b14d7ac9f8575d9522e831fc2de30194d461c3e466405cf6e778fbdf18ef2c51

Pith citing papers

Observation 35cafba4-014c-4f65-810c-6e59c3a4c2de · inbound

CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments cites this paper.

CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:45:13.127144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:45:13.070561Z digest=sha256:3da94aa080c79bb772276df4043135ca6a2a6af09e5cacbb0b412f1c8ef6ef18