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Paper Citation Record · LEDGER

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

As of 8 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

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

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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32 of 32 outbound references displayed

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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

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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

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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

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source=pdf_text observed=2026-08-04T15:37:57.804434Z digest=sha256:f00049d68996b8e36b043ca9b61d82cc95ac7b83697a5621bfef2db6ce3a4718

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

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source=pdf_text observed=2026-08-04T15:37:57.982176Z digest=sha256:dfb3c104882f3eb1a8c7e323533bca7e4b3bb8f35e77fbd3fdb23d7eec82ace5

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

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source=pdf_text observed=2026-08-04T15:37:58.227013Z digest=sha256:002f1cb3488a77313367d1cf27c1dceb75368f30cbca74eae72cb39d3e63e4dd

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

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source=pdf_text observed=2026-08-04T15:37:58.291000Z digest=sha256:fea04d521e3628ac8613d76d7ff2f8507fa9cd52579805842cab3636661f66d8

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

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source=pdf_text observed=2026-08-04T15:37:58.323024Z digest=sha256:fb7a182c515f8580b406e609226774d7b94af25116711146227bf919271ffd03

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

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source=pdf_text observed=2026-08-04T15:37:58.432099Z digest=sha256:a65768e1872aa1e8b99891c61e22513c2f5aa21128bd6e0c79648fdbe21aadad

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

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source=pdf_text observed=2026-08-04T15:37:58.537875Z digest=sha256:c15da3b27aa0055bc14d90bce885bd5729762ce1d9c176e5c888f63a6d591d9a

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

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source=pdf_text observed=2026-08-04T15:37:58.646430Z digest=sha256:59d3d23cdd77ab2be2ff6fa8037d47fc2a1d3ae16b4d56a21d181d3532b7aaa5

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

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source=pdf_text observed=2026-08-04T15:37:58.808525Z digest=sha256:b7b7b9e05ae2b886e4382d9dfd261e97f15d971de3857ba4b095d9c4d81d00c9

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

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source=pdf_text observed=2026-08-04T15:37:58.909149Z digest=sha256:eef75074e13a7899f7e77f6155eec0205bfd7c37fc7b33551a2c6d43bdf4db97

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

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source=pdf_text observed=2026-08-04T15:37:59.078623Z digest=sha256:921271931e6e06696dad3240954efa1ff2310b5cd62d45a2aa3e201da50d397c

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

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source=pdf_text observed=2026-08-04T15:37:59.182947Z digest=sha256:313d13fbdcbc6a55063cb415a66267035fcbcc207bc745cd806af2df9030b6bb

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

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source=pdf_text observed=2026-08-04T15:37:59.350180Z digest=sha256:aedb4d3fda92ffeaa45ab5d238a298ec0edcc4d85ee52f3d8b4ffaaa7e6fb10b

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

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source=pdf_text observed=2026-08-04T15:37:59.516482Z digest=sha256:2f3d28d0e22ead7b22fb05673c3c35d1ce0c7d7aebc619b672300f0c8d425a43

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

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source=pdf_text observed=2026-08-04T15:37:59.679540Z digest=sha256:eb9c099c4f1d689ca91a251963421cd73757190456df672f717f7556ac831d8f

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

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source=pdf_text observed=2026-08-04T15:37:59.845679Z digest=sha256:333aa6c011a92c78bee2fa5a15a7643d992e7238eb62ebaa5fe339388d266117

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

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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

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source=pdf_text observed=2026-08-04T15:38:00.134027Z digest=sha256:5b8445c9a83c633425c5fbb952ebd3b1cafae46169dc61f8c9fdc4978f33133d

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

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source=pdf_text observed=2026-08-04T15:38:00.244838Z digest=sha256:22c999c462cf17334e8874569cc45c0f11b0f113caf07d45caf0df79edcb209a

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

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source=pdf_text observed=2026-08-04T15:38:00.358563Z digest=sha256:55f7c89941f05a7b8a32687e53786caf1daf950c2de237266916ad01637c45e6

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

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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

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source=pdf_text observed=2026-08-04T15:38:00.590248Z digest=sha256:229364be5aa26a965ac2b348f2db0965e0e318ddd1f138d605a37776b89b28db

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

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source=pdf_text observed=2026-08-04T15:38:00.706565Z digest=sha256:90be1886c1ec74f084163fd34aaf75c423e2e3697bae69d43c22d375483cda0c

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

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source=pdf_text observed=2026-08-04T15:38:00.824514Z digest=sha256:504034bf0f9ac11c41094a3865f2609f35bdca650d9ba0e1c5689d34476d06c9

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

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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

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source=pdf_text observed=2026-08-04T15:38:01.003487Z digest=sha256:0b778584d56684827bfca999baecc67418f09020c143017163f8e2c186619543

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

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source=pdf_text observed=2026-08-04T15:38:01.074134Z digest=sha256:c7be82aa2a1b2e2b998875730d891efcf0c1d3bd640d0221e411c4ca7041af58

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

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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

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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

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Pith citing papers

No inbound Pith citation observations are available.