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Paper Citation Record · LEDGER

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2511.09072.

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

pith.paper-citation-record.v1
2511.09072 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:47:34.977258Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:09:45.586362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:14:45.626485Z

Reference resolution

39 of 39 outbound references displayed

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No source-named external measurement is stored.

Outbound references

Observation 19b1c434-1a05-49b6-acf4-1b7ab5dae548 · outbound

This paper cites Real-time simultaneous localisation and mapping with a single camera,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Real-time simultaneous localisation and mapping with a single camera,

Reference 1

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Observation 7b07904c-6377-44b3-8706-19b03f4e921c · outbound

This paper cites Real-time localization and 3d reconstruction,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Real-time localization and 3d reconstruction,

Reference 2

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Observation efde0015-2c2b-4a35-a3d0-cc0e48dfbb97 · outbound

This paper cites Parallel tracking and mapping for small ar workspaces,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Parallel tracking and mapping for small ar workspaces,

Reference 3

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Observation ac981a7c-6120-462c-9f07-0a3f01e13c8e · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Orb-slam: A versatile and accurate monocular slam system,

Reference 4

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Observation 032370b5-3801-484c-b01b-2c9930ec0ea8 · outbound

This paper cites Stereoscan: Dense 3d recon- struction in real-time,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Stereoscan: Dense 3d recon- struction in real-time,

Reference 5

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Observation b2e878b3-757c-44fe-a11b-a3a6b62d7ae3 · outbound

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

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 6

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Observation 001d22c1-9542-4c24-912a-87f1705efa96 · outbound

This paper cites Lsd-slam: Large-scale direct monocular slam,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Lsd-slam: Large-scale direct monocular slam,

Reference 7

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Observation 3e2ba453-6a35-4dc8-b842-5cdd3ab007ec · outbound

This paper cites Svo: Semidirect visual odometry for monocular and multicamera systems,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Svo: Semidirect visual odometry for monocular and multicamera systems,

Reference 8

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Observation 7e58b03d-7504-4b7d-887e-efed8ab155b3 · outbound

This paper cites Direct sparse odometry,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Direct sparse odometry,

Reference 9

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Observation e23d1dd6-7f84-4dde-9ae8-7573d9091267 · outbound

This paper cites Double window optimisation for constant time visual slam,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Double window optimisation for constant time visual slam,

Reference 10

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Observation 50c75da7-b753-4dc5-bbcb-5b04014f627c · outbound

This paper cites g2o: A general framework for graph optimization,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields g2o: A general framework for graph optimization,

Reference 11

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Observation 64414164-4453-48d8-83c3-53c69edab352 · outbound

This paper cites A multi-state constraint kalman filter for vision-aided inertial navigation,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields A multi-state constraint kalman filter for vision-aided inertial navigation,

Reference 12

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Observation f169db8c-1cbb-48f6-8ad1-4d27a9bf5cde · outbound

This paper cites Iterated extended kalman filter based visual-inertial odometry using direct pho- tometric feedback,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Iterated extended kalman filter based visual-inertial odometry using direct pho- tometric feedback,

Reference 13

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Observation d6a77d38-cc81-4b41-ac2c-21987930f37b · outbound

This paper cites Schurvins: Schur complement-based lightweight visual inertial navigation system,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Schurvins: Schur complement-based lightweight visual inertial navigation system,

Reference 14

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Observation fb89ea65-3331-469a-b1c6-afea1958ac0d · outbound

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

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Vins-mono: A robust and versatile monoc- ular visual-inertial state estimator,

Reference 15

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Observation 6ca36c42-ba65-4781-9ffb-55dc29a15443 · outbound

This paper cites Visual-inertial mapping with non-linear factor recovery,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Visual-inertial mapping with non-linear factor recovery,

Reference 16

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Observation 033d55e4-5f42-4cee-9445-9bb94b0dff3f · outbound

This paper cites OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure

Reference 17

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Observation 858b423d-59f0-477a-8b3e-ef113b357395 · outbound

This paper cites The interpretation of a moving retinal image,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields The interpretation of a moving retinal image,

Reference 18

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Observation d26ef63c-ae32-4045-ab11-b85bddb49333 · outbound

This paper cites Trucco and A.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Trucco and A

Reference 19

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Observation aa22daf4-d797-493f-a424-ae8bd0c94fa8 · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,

Reference 20

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Observation 6125ded3-0e60-43ef-99e9-a072b705e0c6 · outbound

This paper cites Ev-flownet: Self-supervised optical flow estimation for event-based cameras,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Ev-flownet: Self-supervised optical flow estimation for event-based cameras,

Reference 21

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Observation 2e80b224-9a33-4411-a9f0-c970e3b2425c · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Dsec: A stereo event camera dataset for driving scenarios,

Reference 22

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Observation 12533929-3e78-4191-83e8-06d385a853fc · outbound

This paper cites E-raft: Dense optical flow from event cameras,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields E-raft: Dense optical flow from event cameras,

Reference 23

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Observation 37d475f2-db76-4222-b0c0-8123d52ea39a · outbound

This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Unsupervised event-based learning of optical flow, depth, and egomotion,

Reference 24

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Observation 4c9d07ad-a450-4686-afbc-ae817210e785 · outbound

This paper cites Unsupervised learning of dense optical flow, depth and egomotion with event-based sensors,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Unsupervised learning of dense optical flow, depth and egomotion with event-based sensors,

Reference 25

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Observation 9677fe51-ad0a-45a1-a713-46c334df47a9 · outbound

This paper cites Secrets of event- based optical flow, depth and ego-motion estimation by contrast maximization,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Secrets of event- based optical flow, depth and ego-motion estimation by contrast maximization,

Reference 26

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Observation aa9c4ef0-9897-4bf9-a7f9-0383c8db20a1 · outbound

This paper cites Event-based visual inertial velometer,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Event-based visual inertial velometer,

Reference 27

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Observation a4c37bc6-ea85-4d66-9ae4-d67e46eddc85 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, vi- sual–inertial, and multimap slam,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Orb-slam3: An accurate open-source library for visual, vi- sual–inertial, and multimap slam,

Reference 28

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Observation 231a8ce6-73ee-4032-a671-151fa43f7d92 · outbound

This paper cites Determining motion directly from normal flows upon the use of a spherical eye platform,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Determining motion directly from normal flows upon the use of a spherical eye platform,

Reference 29

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Observation 254e4139-3293-4375-a6b9-c75a9fbdadee · outbound

This paper cites Hartley and A.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Hartley and A

Reference 30

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Observation cc9fcc84-03de-42d9-88ca-2ed540ccc25f · outbound

This paper cites Complete solution classification for the perspective-three-point problem,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Complete solution classification for the perspective-three-point problem,

Reference 31

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Observation 3910970e-d642-4290-9c29-6ee7502e22bc · outbound

This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,

Reference 32

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Observation 8a0b1b09-0ccd-4bbd-bf23-434b2d4b498a · outbound

This paper cites Lucas-kanade 20 years on: A unifying framework,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Lucas-kanade 20 years on: A unifying framework,

Reference 33

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Observation 795aa798-4822-454d-a0c9-c9b61a324dd3 · outbound

This paper cites Direct sparse visual- inertial odometry using dynamic marginalization,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Direct sparse visual- inertial odometry using dynamic marginalization,

Reference 34

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Observation d59ca228-3004-4004-bcba-d34f4dcaeb9a · outbound

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

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Openvins: A research platform for visual-inertial estimation,

Reference 35

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Observation 8b392656-3a79-498c-9720-86b549fab200 · outbound

This paper cites The euroc micro aerial vehicle datasets,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields The euroc micro aerial vehicle datasets,

Reference 36

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Observation 7916f693-9bb0-402c-9dc6-3d57479af742 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 37

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This paper cites The tum vi benchmark for evaluating visual-inertial odometry,.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields The tum vi benchmark for evaluating visual-inertial odometry,

Reference 38

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Observation 6fa4cfe3-b773-4f55-a143-9e86e91a26f1 · outbound

This paper cites Available: https://royalsocietypublishing.org/doi/abs/ 10.1098/rspb.1980.0057.

SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields Available: https://royalsocietypublishing.org/doi/abs/ 10.1098/rspb.1980.0057

Reference 1980

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Pith citing papers

Observation 6254074d-51e1-4b7c-90b9-afa1915d43bb · inbound

LC-Flow: Learning Local Continuous Optical Flow and Confidence from events cites this paper.

LC-Flow: Learning Local Continuous Optical Flow and Confidence from events SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields

Reference 32

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