Paper Citation Record · LEDGER

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.05740.

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

pith.paper-citation-record.v1
2509.05740 v1

Coverage vector

measured 35 of 35 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-05T05:15:18.035004Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f14d05b-d26c-428e-86c7-18c9ae752136 · outbound

This paper cites Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da170fb-9548-47af-97e5-cc95c20fd7e6 · outbound

This paper cites Openvins: A research platform for visual-inertial estimation,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Openvins: A research platform for visual-inertial estimation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.941201Z

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Observation 0bd7778e-24e4-4cde-887e-2b6a9f199f49 · outbound

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

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.925079Z

Source-reported events for the cited work

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Observation 29ce7e49-5348-47c6-a2aa-ef671ee2f498 · outbound

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

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Fast-lio2: Fast direct lidar- inertial odometry,

Reference 4

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Observation fe97bcd0-da88-4e52-9715-5a82d8a13d76 · outbound

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

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Lvi-sam: Tightly-coupled lidar-visual-inertial odometry via smoothing and mapping,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.894248Z

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Observation 58079259-99cb-47ac-8dfc-78ce2f47ad9b · outbound

This paper cites Fast-livo2: Fast, direct lidarâ ˘A¸ Sinertialâ˘A¸ Svisual odometry,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Fast-livo2: Fast, direct lidarâ ˘A¸ Sinertialâ˘A¸ Svisual odometry,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.878190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ed9df87-fd03-4762-a9ee-6e9efca820db · outbound

This paper cites Panoramic slam from a multiple fisheye camera rig,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Panoramic slam from a multiple fisheye camera rig,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.861944Z

Source-reported events for the cited work

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Observation 01eceb63-e037-42fa-9d2b-20955f6588fd · outbound

This paper cites Mcov-slam: A multicamera omnidirectional visual slam system,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Mcov-slam: A multicamera omnidirectional visual slam system,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.845046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c3c1ed7-186b-497c-923f-def6a68ddd89 · outbound

This paper cites Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T05:15:17.913580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c805ee-43f8-4173-b656-67ab8521f82b · outbound

This paper cites Mcvo: A generic visual odometry for arbitrarily arranged multi-cameras,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Mcvo: A generic visual odometry for arbitrarily arranged multi-cameras,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.829558Z

Source-reported events for the cited work

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Observation 603de53e-05ab-4bc5-b004-429a78f4d466 · outbound

This paper cites Panoramic visual-inertial slam tightly coupled with a wheel encoder,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Panoramic visual-inertial slam tightly coupled with a wheel encoder,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.810878Z

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Observation 02667390-5304-458f-8d8d-788b77a811c3 · outbound

This paper cites Towards robust visual-inertial odometry with multiple non-overlapping monocular cameras,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Towards robust visual-inertial odometry with multiple non-overlapping monocular cameras,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.791691Z

Source-reported events for the cited work

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Observation 0b0c9c1b-c7b0-4181-91dc-9e43315338d3 · outbound

This paper cites Bamf-slam: Bundle adjusted multi-fisheye visual-inertial slam using recurrent field transforms,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Bamf-slam: Bundle adjusted multi-fisheye visual-inertial slam using recurrent field transforms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.773353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13ffff49-e727-4381-aa34-ce6b7c5c083d · outbound

This paper cites Mavis: Multi-camera augmented visual-inertial slam using se2(3) based exact imu pre-integration,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Mavis: Multi-camera augmented visual-inertial slam using se2(3) based exact imu pre-integration,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.752161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7686f81f-08d7-4259-a1cf-3401071e3821 · outbound

This paper cites Rmsc-vio: Robust multi-stereoscopic visual-inertial odometry for local visually challeng- ing scenarios,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Rmsc-vio: Robust multi-stereoscopic visual-inertial odometry for local visually challeng- ing scenarios,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.735603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07bddadb-793f-4918-bfa5-7f45b1d101e5 · outbound

This paper cites Panoramic direct lidar-assisted visual odometry,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Panoramic direct lidar-assisted visual odometry,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:15:18.353454Z

Source-reported events for the cited work

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Observation d9dcfa91-3143-44d3-9d9d-ac409f9c235e · outbound

This paper cites Efficient and accurate tightly-coupled visual-lidar slam,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Efficient and accurate tightly-coupled visual-lidar slam,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.720155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4f1e669-0d0b-4ce9-8857-041589fb3597 · outbound

This paper cites A high-precision lidar-inertial odometry via invariant extended kalman filtering and efficient surfel mapping,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras A high-precision lidar-inertial odometry via invariant extended kalman filtering and efficient surfel mapping,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.703694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15701b85-ca33-4739-a7ae-62cb96d3f29d · outbound

This paper cites Visual-lidar odometry and mapping: low-drift, robust, and fast,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Visual-lidar odometry and mapping: low-drift, robust, and fast,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.686120Z

Source-reported events for the cited work

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Observation 7da8190e-95e8-4255-b4aa-5c5df8775f69 · outbound

This paper cites Lvio-fusion:tightly- coupled lidar-visual-inertial odometry and mapping in degenerate environments,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Lvio-fusion:tightly- coupled lidar-visual-inertial odometry and mapping in degenerate environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.669498Z

Source-reported events for the cited work

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Observation c469a1d7-8e65-43d2-82d1-c70b9a6d6b73 · outbound

This paper cites Camvox: A low-cost and accurate lidar-assisted visual slam system,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Camvox: A low-cost and accurate lidar-assisted visual slam system,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.653683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a58c0e14-c611-4cb0-8188-6b0701824815 · outbound

This paper cites R 2 live: A robust, real- time, lidar-inertial-visual tightly-coupled state estimator and mapping,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras R 2 live: A robust, real- time, lidar-inertial-visual tightly-coupled state estimator and mapping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.636604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0013b23f-ca0d-4c49-ae0d-24dfdd4e82e1 · outbound

This paper cites R3live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras R3live: A robust, real-time, rgb-colored, lidar- inertial-visual tightly-coupled state estimation and mapping package,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.615415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acc86f41-089f-46b4-bb82-1b13b6381bfa · outbound

This paper cites Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Fast-livo: Fast and tightly-coupled sparse-direct lidar-inertial-visual odometry,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.597585Z

Source-reported events for the cited work

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Observation b41bd5d3-a9a1-455d-bfa9-f19c22a1ec1d · outbound

This paper cites LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:15:18.250394Z

Source-reported events for the cited work

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Observation 53756a5f-b516-4a34-85e1-3abf5f2cecaf · outbound

This paper cites Liver: A tightly coupled lidar-inertial-visual state estimator with high robustness for underground environments,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Liver: A tightly coupled lidar-inertial-visual state estimator with high robustness for underground environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.578543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c1bd7f3-c58a-4053-9ba5-ae42def61906 · outbound

This paper cites mvlins: A multilevel visual-lidar-inertial navigation system with completely decoupled odometry and adaptive environmental mapping,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras mvlins: A multilevel visual-lidar-inertial navigation system with completely decoupled odometry and adaptive environmental mapping,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.558391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb485914-fd4c-43e8-8266-c75e01863290 · outbound

This paper cites isam2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras isam2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.542661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54a383df-cccf-4222-b21e-dc387a29a08a · outbound

This paper cites Good features to track,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Good features to track,

Reference 29

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Source-reported events for the cited work

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Observation 53b4d6bf-9ad6-40cb-a304-b4d010167eee · outbound

This paper cites An Iterative Image Registration Technique with an Application to Stereo Vision,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras An Iterative Image Registration Technique with an Application to Stereo Vision,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.513290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26394879-64e9-4a48-b1ac-e939e4198968 · outbound

This paper cites Bags of binary words for fast place recognition in image sequences,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Bags of binary words for fast place recognition in image sequences,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.491944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6af5c8c5-31da-4ce4-a7ae-477434a33b04 · outbound

This paper cites M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras M2dgr: A multi-sensor and multi-scenario slam dataset for ground robots,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:15:18.474300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45502a88-78b9-46c5-9da2-251016471694 · outbound

This paper cites Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping,.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping,

Reference 34

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T05:15:18.200373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e30c58f4-b92a-4b26-8067-8709f51c4306 · outbound

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

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras Multi-Camera LiDAR Inertial Extension to the Newer College Dataset

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T05:15:18.025981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a4e251-02e5-4169-b7f2-46ce8c5fa7f6 · outbound

This paper cites MCVO: A Generic Visual Odometry for Arbitrarily Arranged Multi-Cameras.

Multi-LVI-SAM: A Robust LiDAR-Visual-Inertial Odometry for Multiple Fisheye Cameras MCVO: A Generic Visual Odometry for Arbitrarily Arranged Multi-Cameras

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T05:15:18.378359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.