Paper Citation Record · LEDGER

CU-Multi: A Dataset for Multi-Robot Collaborative Perception

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.19463.

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

pith.paper-citation-record.v1
2509.19463 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:38:01.437577Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c38c384-38ab-42e0-9dc7-804e07595e4f · outbound

This paper cites GRACO: A multimodal dataset for ground and aerial cooperative localization and mapping,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception GRACO: A multimodal dataset for ground and aerial cooperative localization and mapping,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:57.432292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b0b3c1-62ca-419f-8a1a-e3557a9581d1 · outbound

This paper cites Resilient and distributed multi-robot visual SLAM: Datasets, experiments, and lessons learned,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Resilient and distributed multi-robot visual SLAM: Datasets, experiments, and lessons learned,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:57.549270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde7b39b-7052-4f22-91ba-10a2941bc096 · outbound

This paper cites S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:57.804434Z

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Unavailable: canonical work link unavailable.

Observation 1f430454-02d1-4d9d-a647-bfd3ae905371 · outbound

This paper cites DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:57.982176Z

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Unavailable: canonical work link unavailable.

Observation e88fba91-9526-40f5-b198-e971468a453f · outbound

This paper cites LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.227013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7095a2-9669-47e3-9bd3-80ea8724872b · outbound

This paper cites CoPeD- Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception CoPeD- Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.291000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca989821-883d-42c7-b9c6-a745a805e025 · outbound

This paper cites Multi-robot multi-room exploration with geometric cue extraction and circular decomposition,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Multi-robot multi-room exploration with geometric cue extraction and circular decomposition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.323024Z

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Unavailable: canonical work link unavailable.

Observation ef94a67c-85a0-440e-98b9-1ed4e0e89b89 · outbound

This paper cites DCL- SLAM: A distributed collaborative lidar SLAM framework for a robotic swarm,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception DCL- SLAM: A distributed collaborative lidar SLAM framework for a robotic swarm,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.432099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a710812-8ffa-4750-8f55-25883bb0dbe1 · outbound

This paper cites Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Swarm-slam: Sparse decentralized collaborative simultaneous localization and mapping framework for multi-robot systems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.537875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473cd53b-f808-4914-81b3-39fc438b6d72 · outbound

This paper cites Towards collabo- rative simultaneous localization and mapping: a survey of the current research landscape,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Towards collabo- rative simultaneous localization and mapping: a survey of the current research landscape,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.646430Z

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Unavailable: canonical work link unavailable.

Observation d1b3455b-5306-4c56-9748-8b7f2362182b · outbound

This paper cites Vision meets robotics: The kitti dataset,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Vision meets robotics: The kitti dataset,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.808525Z

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Observation 7b0684f5-e1fa-4e16-a4ed-b2b0878bed73 · outbound

This paper cites Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:58.909149Z

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Unavailable: canonical work link unavailable.

Observation 622c13cb-fc8b-46fc-b924-387a8d8add8f · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.078623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4a914d-14cf-42b7-9830-c4518e0937aa · outbound

This paper cites Efficient decentralized visual place recognition using a distributed inverted index,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Efficient decentralized visual place recognition using a distributed inverted index,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.182947Z

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Unavailable: canonical work link unavailable.

Observation 81d5e683-1a99-48cc-8f58-108968c0d982 · outbound

This paper cites Data-efficient decentralized visual SLAM,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Data-efficient decentralized visual SLAM,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.350180Z

Source-reported events for the cited work

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Observation 96d6beac-736d-4fa8-9de8-4b84993cbbb5 · outbound

This paper cites DOOR-SLAM: Distributed, online, and outlier resilient SLAM for robotic teams,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception DOOR-SLAM: Distributed, online, and outlier resilient SLAM for robotic teams,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.516482Z

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Unavailable: canonical work link unavailable.

Observation 3b9d9bf9-04aa-4ef5-bf68-7b0f1c55a21f · outbound

This paper cites DiSCo-SLAM: Dis- tributed scan context-enabled multi-robot lidar SLAM with two- stage global-local graph optimization,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception DiSCo-SLAM: Dis- tributed scan context-enabled multi-robot lidar SLAM with two- stage global-local graph optimization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.679540Z

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Unavailable: canonical work link unavailable.

Observation bbc20718-6e24-4184-a79b-279e1aa53214 · outbound

This paper cites RDC- SLAM: A real-time distributed cooperative SLAM system based on 3D lidar,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception RDC- SLAM: A real-time distributed cooperative SLAM system based on 3D lidar,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T15:37:59.845679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d63b924-bc4e-4a23-8365-4636dbfbf332 · outbound

This paper cites Wi- closure: Reliable and efficient search of inter-robot loop closures using wireless sensing,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Wi- closure: Reliable and efficient search of inter-robot loop closures using wireless sensing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.019874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1785084-c71f-4ebc-aa46-45df55ace6a8 · outbound

This paper cites FRAME: a modular framework for au- tonomous map-merging: Advancements in the field,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception FRAME: a modular framework for au- tonomous map-merging: Advancements in the field,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.134027Z

Source-reported events for the cited work

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Observation 6bad192f-4b01-4a64-ba88-915732a39040 · outbound

This paper cites Slideslam: Sparse, lightweight, de- centralized metric-semantic SLAM for multi-robot navigation,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Slideslam: Sparse, lightweight, de- centralized metric-semantic SLAM for multi-robot navigation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.244838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4290b2df-81fd-4357-8cd3-491a25d905f4 · outbound

This paper cites Multi-robot object SLAM using distributed variational inference,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Multi-robot object SLAM using distributed variational inference,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.358563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b6dedf4-ca85-4fe5-8930-c977af2440dd · outbound

This paper cites The UTIAS multi-robot cooperative localization and mapping dataset,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception The UTIAS multi-robot cooperative localization and mapping dataset,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.474149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d8a81b-284e-492b-b5e4-c2e17b14b54d · outbound

This paper cites Ford multi-av seasonal dataset,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Ford multi-av seasonal dataset,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.590248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a162604-9d94-472d-9c99-3c2aeade1c52 · outbound

This paper cites AirMuseum: a heterogeneous multi-robot dataset for stereo-visual and inertial simultaneous local- ization and mapping,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception AirMuseum: a heterogeneous multi-robot dataset for stereo-visual and inertial simultaneous local- ization and mapping,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.706565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf6d81c-bcda-44e7-ba14-6c0764f15512 · outbound

This paper cites Kimera-multi: Robust, distributed, dense metric-semantic SLAM for multi-robot systems,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Kimera-multi: Robust, distributed, dense metric-semantic SLAM for multi-robot systems,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.824514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca0b184-3e1c-4be0-862e-dbf268d635d4 · outbound

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

CU-Multi: A Dataset for Multi-Robot Collaborative Perception LIO-SAM: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:00.926993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85ebeab-2dcf-4a0b-9df0-634bb48ce73d · outbound

This paper cites CT- ICP: real-time elastic lidar odometry with loop closure,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception CT- ICP: real-time elastic lidar odometry with loop closure,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:01.003487Z

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Unavailable: canonical work link unavailable.

Observation 4ed26c0b-2217-4cca-b32c-a7c75cd193f7 · outbound

This paper cites USGS 1 meter 13 x47y443 CO DRCOG 2020 B20,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception USGS 1 meter 13 x47y443 CO DRCOG 2020 B20,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:01.074134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5312b0-36d7-4475-a72e-ee831dee5ef8 · outbound

This paper cites Factor graphs and GTSAM: A hands-on introduction,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Factor graphs and GTSAM: A hands-on introduction,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:01.157302Z

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Unavailable: canonical work link unavailable.

Observation 2b0ae478-b772-4c6f-8625-be025ad86556 · outbound

This paper cites Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:01.347305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c4a785-ca19-471f-9a67-3757f05d46eb · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3D point cloud map,.

CU-Multi: A Dataset for Multi-Robot Collaborative Perception Scan context: Egocentric spatial descriptor for place recognition within 3D point cloud map,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:01.437577Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.