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Paper Citation Record · LEDGER

FD-RIO: Fast Dense Radar Inertial Odometry

As of 24 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2505.07694.

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

pith.paper-citation-record.v1
2505.07694 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:22.242469Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:31:29.161223Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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  • verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 805667a6-9a7d-4c5a-83f2-10dfb8483025 · outbound

This paper cites Radar odometry for au- tonomous ground vehicles: A survey of methods and datasets,.

FD-RIO: Fast Dense Radar Inertial Odometry Radar odometry for au- tonomous ground vehicles: A survey of methods and datasets,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 38e1adc8-d896-415b-a03d-981601b452b1 · outbound

This paper cites Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions,.

FD-RIO: Fast Dense Radar Inertial Odometry Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions,

Reference 2

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Observation bcaa6ecb-5e74-4e96-9880-bf393682fdc3 · outbound

This paper cites Radar-only ego-motion estimation in difficult settings via graph matching,.

FD-RIO: Fast Dense Radar Inertial Odometry Radar-only ego-motion estimation in difficult settings via graph matching,

Reference 3

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d04f5334-12b7-4805-a00b-56f35229a514 · outbound

This paper cites Do we need to compensate for motion distortion and doppler effects in spinning radar navigation?.

FD-RIO: Fast Dense Radar Inertial Odometry Do we need to compensate for motion distortion and doppler effects in spinning radar navigation?

Reference 4

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Observation 738faddd-3453-457d-8600-c6d0c9c7f1ea · outbound

This paper cites Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning.

FD-RIO: Fast Dense Radar Inertial Odometry Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning

Reference 5

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Observation fdc74882-2434-4a78-9e55-f0b83cff2823 · outbound

This paper cites Radarslam: A robust simultaneous localization and mapping system for all weather condi- tions,.

FD-RIO: Fast Dense Radar Inertial Odometry Radarslam: A robust simultaneous localization and mapping system for all weather condi- tions,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e22458e2-544f-450f-a1a8-a993d25c69d6 · outbound

This paper cites Lidar-level localization with radar? the cfear approach to accurate, fast, and robust large-scale radar odometry in diverse environments,.

FD-RIO: Fast Dense Radar Inertial Odometry Lidar-level localization with radar? the cfear approach to accurate, fast, and robust large-scale radar odometry in diverse environments,

Reference 7

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Observation d1b59d3a-c8ea-40e7-b2f6-406ea10096f1 · outbound

This paper cites Scan denoising and normal distribution transform for accurate radar odometry and positioning,.

FD-RIO: Fast Dense Radar Inertial Odometry Scan denoising and normal distribution transform for accurate radar odometry and positioning,

Reference 8

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Observation 8c578972-a684-43ce-a929-475c080cab0b · outbound

This paper cites Orora: Outlier-robust radar odometry,.

FD-RIO: Fast Dense Radar Inertial Odometry Orora: Outlier-robust radar odometry,

Reference 9

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b9557f77-c753-4835-80f5-ceb57c635753 · outbound

This paper cites milliego: single-chip mmwave radar aided egomotion estimation via deep sensor fusion,.

FD-RIO: Fast Dense Radar Inertial Odometry milliego: single-chip mmwave radar aided egomotion estimation via deep sensor fusion,

Reference 10

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c1409846-1c92-4b48-85e3-e63ad863d2a1 · outbound

This paper cites Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information.

FD-RIO: Fast Dense Radar Inertial Odometry Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information

Reference 11

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Observation 278bf3d7-cfd3-4000-a827-d13334838afa · outbound

This paper cites Fast- mbym: Leveraging translational invariance of the fourier transform for efficient and accurate radar odometry,.

FD-RIO: Fast Dense Radar Inertial Odometry Fast- mbym: Leveraging translational invariance of the fourier transform for efficient and accurate radar odometry,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 66e3bed9-f656-4f97-bdbb-3294ecb1f8c7 · outbound

This paper cites Radar scan matching slam using the fourier-mellin transform,.

FD-RIO: Fast Dense Radar Inertial Odometry Radar scan matching slam using the fourier-mellin transform,

Reference 13

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Observation 34c29e99-de3f-457b-92fc-e0074737525d · outbound

This paper cites Pharao: Direct radar odometry using phase correlation,.

FD-RIO: Fast Dense Radar Inertial Odometry Pharao: Direct radar odometry using phase correlation,

Reference 14

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Observation 8bf65566-5f26-49b8-822c-a6813f1edf4d · outbound

This paper cites R3o: Robust radon radar odometry,.

FD-RIO: Fast Dense Radar Inertial Odometry R3o: Robust radon radar odometry,

Reference 15

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 46aec792-a291-46f9-8c23-ef14bd621b42 · outbound

This paper cites An fft-based technique for translation, rotation, and scale-invariant image registration,.

FD-RIO: Fast Dense Radar Inertial Odometry An fft-based technique for translation, rotation, and scale-invariant image registration,

Reference 16

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Observation b68faa6c-40f3-4779-bb80-d8dfbdfa3419 · outbound

This paper cites Milli- rio: Ego-motion estimation with low-cost millimetre-wave radar,.

FD-RIO: Fast Dense Radar Inertial Odometry Milli- rio: Ego-motion estimation with low-cost millimetre-wave radar,

Reference 17

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 28a0ba16-63da-4e31-a926-2dde3b982c44 · outbound

This paper cites A novel method for land vehicle positioning: Invariant kalman filters and deep- learning-based radar speed estimation,.

FD-RIO: Fast Dense Radar Inertial Odometry A novel method for land vehicle positioning: Invariant kalman filters and deep- learning-based radar speed estimation,

Reference 18

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 67fe5f01-79ef-4c54-a716-2c8d13b597e7 · outbound

This paper cites Real-time pose graph slam based on radar,.

FD-RIO: Fast Dense Radar Inertial Odometry Real-time pose graph slam based on radar,

Reference 19

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Observation b46a75f7-5010-4c90-b8c6-36d74e3389f2 · outbound

This paper cites A scalable framework for robust vehicle state estimation with a fusion of a low-cost imu, the gnss, radar, a camera and lidar,.

FD-RIO: Fast Dense Radar Inertial Odometry A scalable framework for robust vehicle state estimation with a fusion of a low-cost imu, the gnss, radar, a camera and lidar,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c1658b90-b6c8-47e1-a6e3-ffb54d0118cf · outbound

This paper cites An introduction to the kalman filter,.

FD-RIO: Fast Dense Radar Inertial Odometry An introduction to the kalman filter,

Reference 21

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:15:22.218279Z digest=sha256:20dd95d757e9db2cc974449ab86c9bf3efba24721a4440be8a9d1c65ed1f4a36

Observation a88b2972-1324-4cba-b1af-6b1157bf628c · outbound

This paper cites Kalman filter for robot vision: a survey,.

FD-RIO: Fast Dense Radar Inertial Odometry Kalman filter for robot vision: a survey,

Reference 22

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8ec3657e-0987-45c0-82e2-bac2499735ac · outbound

This paper cites Mulran: Multimodal range dataset for urban place recognition,.

FD-RIO: Fast Dense Radar Inertial Odometry Mulran: Multimodal range dataset for urban place recognition,

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bef4fffd-7344-4650-b647-e89ca4ef5607 · outbound

This paper cites Boreas: A multi-season autonomous driving dataset,.

FD-RIO: Fast Dense Radar Inertial Odometry Boreas: A multi-season autonomous driving dataset,

Reference 24

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Observation d5d33de3-6c5c-4174-8cd1-1fdbac3c9e56 · outbound

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

FD-RIO: Fast Dense Radar Inertial Odometry Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 25

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Observation 46de9dae-325b-42e5-bb09-8fc0a1ff9d05 · outbound

This paper cites Visual odometry revisited: What should be learnt?.

FD-RIO: Fast Dense Radar Inertial Odometry Visual odometry revisited: What should be learnt?

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:15:22.238735Z digest=sha256:19b68716eea7ba1ff8bcfff1a0c7f2ac7a34970d14c0a403e2292d8bff1844f7

Observation ce299a93-8364-4ae9-bb07-a49754870a2f · outbound

This paper cites The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset,.

FD-RIO: Fast Dense Radar Inertial Odometry The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:15:22.242469Z digest=sha256:11e3d2f451e723cddf02c870c165f7ea38879f26a2f83cdc89b0608facbf1f0a

Pith citing papers

Observation f190f291-7fef-42b3-96e1-81c301026064 · inbound

H-RINS: Hierarchical Tightly-coupled Radar-Inertial State Estimation via Smoothing and Mapping cites this paper.

H-RINS: Hierarchical Tightly-coupled Radar-Inertial State Estimation via Smoothing and Mapping FD-RIO: Fast Dense Radar Inertial Odometry

Reference 2

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Unavailable: canonical work link unavailable.

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