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Paper Citation Record · LEDGER

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

As of 10 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

Typed states for the displayed outbound observations.

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 2026-08-10T06:31:04.303077+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

  • verified exact2
  • verified fuzzy26
  • unresolved5
  • parse uncertain0
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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.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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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unresolved
no resolver link, observed 2026-08-05T05:15:17.887921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:15:17.887921Z digest=sha256:310f22b0c3d8b5bb9983517e90438c25fe7d9f59e5468476be0c2ecd98b5d4cd

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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.898125Z digest=sha256:b2f50ab442304850887777f135c5a9cca3279a69238db3bf803c4170cefaeb89

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:15:17.913580Z digest=sha256:86c643216571c8d3e0a1e856a7862e7350cd6620908537c5a13305c59b7baac2

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.918453Z digest=sha256:38e197c1fc3a05727f671054888a1b3e3a8375fd37c92886c8d076f36fc57443

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.932542Z digest=sha256:07118f7e8203a6b13613f14c711a0581ae77ac3b3a9864bba1fcc8b567ec12ee

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.936909Z digest=sha256:9b1d1b98ddbb844d6f32d5da9ae2c97d65335186c209f44b94f50a97740416cc

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.941647Z digest=sha256:d32376876796362b35fda3f082abade28139abd01a50fd7af5977df70ad1df06

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.953992Z digest=sha256:ffbcf5467b988216162eaff80711e9266cc07f9793d5eb2b0b7d29ae7b6c60d0

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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.962144Z digest=sha256:58d9bde8d7d02473c7ef7486f0d01f5f9c498878944bc890f21d80adb10beb05

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.966457Z digest=sha256:30ad2ab4d657e1ad203d0a0ed024a10f78fd286d617b7bca85441798a1059f3d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.970509Z digest=sha256:f4bac0d465e18394f50fa36405908c5d3ffdbd63ae0f7ec39b77f4aa4b3a74b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.974546Z digest=sha256:98c231c302e592109d40d540bcf631f8b17e13aa707ce8070ae0efb9b16fd146

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.978859Z digest=sha256:94fa5b3f1cc20eca00def31b405fa8fa1eb49cfbe1ab7208fc18d03c1f5e2a98

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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.983288Z digest=sha256:fede4c34bdb165fe69fb11ad3597387a8c7a2204dfe740251800d4526219260b

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

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.987672Z digest=sha256:4708e3f6a9d8deb36deebdc7adacd40d6ac6a3c93a08343d645553f41a91c68e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.992101Z digest=sha256:8482af6e82d7d24b2ff21a173952d9e5cc62af67b35d1a97b6903c58d510266e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.997143Z digest=sha256:78774d705089c3e70abc8514ab09086e3a299145aa401f9de6274c3eb82b6458

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:18.002155Z digest=sha256:138c7d2a9e2437b3e0cb145804b072b568897deefcd3bdbaa0753db60e1135af

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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unresolved
no resolver link, observed 2026-08-05T05:15:18.007053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:15:18.007053Z digest=sha256:b4e61527b17f923253bd6ec29f8c25144a1ca5680cc6c754956087f4fe107ec7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:18.011286Z digest=sha256:d899fa7adcc668a65dade9e26ab8c6021e396c2b91b1e2fa85ecbc9d1dfce17e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:18.015930Z digest=sha256:e0b3772961f398891c130d7336ef3616a507b6d63e418619aed88100f1a59fc6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:18.030510Z digest=sha256:b9ab5700ab90da92356531613ceb57a45dbae36d3a1ec27ea9a8a19eb21db752

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:18.035004Z digest=sha256:483a89c16579712f61ce22ee4e9ff09c4b481c13e8a777c87a30ec8e5434ed26

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.

source=pdf_text observed=2026-08-05T05:15:18.025981Z digest=sha256:7fee4d443800f3091eb7c309dafc401d9d77060200fe775bfa6ca524be40e57c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:15:17.922872Z digest=sha256:3041f9f08ac40aef301829867d911fbf67fb29e6185edf97f1efa2efaf06bee9

Pith citing papers

No inbound Pith citation observations are available.