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Paper Citation Record · LEDGER

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2505.15860.

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

pith.paper-citation-record.v1
2505.15860 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:47.625619Z

measured 24 of 24 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:51:44.607913Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 663f9bbb-3469-437f-8da7-0cd40d68e772 · outbound

This paper cites an unresolved cited work.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-07T15:26:51.750342Z

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.

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Observation 2c0f82d7-55a7-4f29-a3cb-683346c72dee · outbound

This paper cites an unresolved cited work.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-07T15:26:51.567495Z

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.

source=pdf_text observed=2026-08-07T15:26:44.533619Z digest=sha256:f6db787aa6ae7a7d26caefc990af40c35a6f664e28387fd08f805f83a341b1fe

Observation db4ecd6e-06a0-47d9-a257-ac386914f515 · outbound

This paper cites fast-time dimension.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar fast-time dimension

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.321632Z

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.

source=pdf_text observed=2026-08-07T15:26:44.698764Z digest=sha256:eeaf954806551a7bfc4b6d0573e9d4d53ff44546152fffaac5e04b0b3ca2b231

Observation 8b6f8988-edd4-4794-9492-3c35796ed0e0 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar The mapillary vistas dataset for semantic understanding of street scenes,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.111590Z

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.

source=pdf_text observed=2026-08-07T15:26:44.871257Z digest=sha256:30f9a3464a76c7eb1daa854dc66546413103de599e07fffdfe369e967676fe4b

Observation 0fec8082-331a-4eb7-93e2-ba07b1b7de8f · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar The cityscapes dataset for semantic urban scene understanding,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.913423Z

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.

source=pdf_text observed=2026-08-07T15:26:45.014542Z digest=sha256:cf2e89aa5bab3f9985809c40f38171a758a4930ecd7781e5bafbab9294780f65

Observation 21618159-6528-40cc-9124-209cd4906e29 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.752228Z

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.

source=pdf_text observed=2026-08-07T15:26:45.183890Z digest=sha256:afa3eb8783306fd4c53b68e767fe0c2e0621685fc76f50b6ba6858841112baac

Observation a0c89168-15ba-449e-abb6-247e2090cf32 · outbound

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

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.593850Z

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.

source=pdf_text observed=2026-08-07T15:26:45.346693Z digest=sha256:e8d8026b2a2816647af626d257e6810cddd7c715b4894904f54bbd350702b839

Observation 947d7556-419b-44a6-b6cd-4eaa79c3099d · outbound

This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Multispectral pedestrian detection: Benchmark dataset and baseline,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.406230Z

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.

source=pdf_text observed=2026-08-07T15:26:45.472563Z digest=sha256:317cf53c5ae7d2e93b8bab6cb36008cdcfb5229bd4c2eafa4de932ba6e46918d

Observation b2e1004f-6b4d-4ae5-8dda-a4e1ac134281 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:45.591337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:45.591337Z digest=sha256:dda752d4db7ba7383458a84a7a2f3384139312b708f2646161d8b257b7cda1e9

Observation c39bdc07-83dc-4eeb-94c2-a3341a587aea · outbound

This paper cites Automotive radar dataset for deep learning based 3D object detection,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Automotive radar dataset for deep learning based 3D object detection,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:50.206814Z

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.

source=pdf_text observed=2026-08-07T15:26:45.755876Z digest=sha256:56dd5ee815cbcf78b4ceb3ce12683d45a4a5e4c330815602483559b4760c5fc9

Observation 5315c914-25a4-4a36-968f-acdfa0b73d9d · outbound

This paper cites NuScenes: A multimodal dataset for autonomous driving,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar NuScenes: A multimodal dataset for autonomous driving,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.970059Z

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.

source=pdf_text observed=2026-08-07T15:26:45.922675Z digest=sha256:b6c9ecc5648babce437caa28859689c5a83507cf808503e2190d431d93c36e22

Observation f168e781-a4f8-40a8-8cdc-2dd2d65120bc · outbound

This paper cites Pixset: An opportunity for 3d computer vision to go beyond point clouds with a full-waveform lidar dataset,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Pixset: An opportunity for 3d computer vision to go beyond point clouds with a full-waveform lidar dataset,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.775322Z

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.

source=pdf_text observed=2026-08-07T15:26:46.049929Z digest=sha256:a2fb93d7456e64ebd21b848cf9590693fe981a194bfa8657b67ad458112bd487

Observation 7aeea5a5-99a8-4b63-a065-f06a877345db · outbound

This paper cites RadarScenes: A real-world radar point cloud data set for automotive applications,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar RadarScenes: A real-world radar point cloud data set for automotive applications,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.597915Z

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.

source=pdf_text observed=2026-08-07T15:26:46.192942Z digest=sha256:228cec908e66763d314d2546b56cd4691b547ff94ca9f1c31b57bdc84ee01a35

Observation 9fb68171-cc8b-4ea3-8083-e2365e68923c · outbound

This paper cites TJ4DRadSet: A 4D radar dataset for autonomous driving,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar TJ4DRadSet: A 4D radar dataset for autonomous driving,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.413682Z

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.

source=pdf_text observed=2026-08-07T15:26:46.358017Z digest=sha256:14a996684f87b6ac4cf59c8d939002b0a6f4833130771d2744a225fd0fac7eac

Observation 808b56f7-1b91-4ff4-a93b-e7ff5695d33b · outbound

This paper cites NTU4DRadLM: 4D radar-centric multi-modal dataset for localization and mapping,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar NTU4DRadLM: 4D radar-centric multi-modal dataset for localization and mapping,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:49.227857Z

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.

source=pdf_text observed=2026-08-07T15:26:46.488607Z digest=sha256:fdf963030e3d10bb6b29b6b0941e65c832e718ab8d72871077e3be63e815a5c2

Observation 4c3a335b-61ea-4b71-84dd-e200f7b221c5 · outbound

This paper cites Raw high-definition radar for multi-task learning,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Raw high-definition radar for multi-task learning,

Reference 16

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raw_fallback, observed 2026-08-07T15:26:49.088611Z

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.

source=pdf_text observed=2026-08-07T15:26:46.637507Z digest=sha256:8e2c6ff111f6a31b79ec50ed0d7a09f3fe1cbfdd91df2ae5ad71866242e1c485

Observation 039916b5-5ecf-4c51-9649-fd4a9a2b1c0c · outbound

This paper cites Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:46.794985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:46.794985Z digest=sha256:b7d933681a402f2e846445924ea1666441cb250c976754865cbe514be063b36b

Observation 2899d1c9-2377-4e62-9ff8-f65d24fb43ce · outbound

This paper cites Coloradar: The direct 3D millimeter wave radar dataset,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Coloradar: The direct 3D millimeter wave radar dataset,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:48.893237Z

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.

source=pdf_text observed=2026-08-07T15:26:47.021571Z digest=sha256:1169fa50a6bde1797bc21cf01b3de318239b2eb070310ed7ef031ee39cfa6f9c

Observation 16f1bd5e-ce11-422f-b6d9-be3fb8cc38be · outbound

This paper cites DREAM-PCD: Deep reconstruction and enhancement of mmwave radar pointcloud,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar DREAM-PCD: Deep reconstruction and enhancement of mmwave radar pointcloud,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:48.767230Z

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.

source=pdf_text observed=2026-08-07T15:26:47.183139Z digest=sha256:347fc691669893b66ef6dadfd8830f4c28fe9d6b9dbc01ff20a5359a91e75366

Observation 8dbae400-a89a-4f78-b0e0-b9975f0946ce · outbound

This paper cites Milipoint: A point cloud dataset for mmwave radar,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Milipoint: A point cloud dataset for mmwave radar,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:48.464480Z

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.

source=pdf_text observed=2026-08-07T15:26:47.308310Z digest=sha256:2e765b6e365e92259ccfb4cdd90280335713e100efe2b96992ff5ed5efb5c4e2

Observation b6afe770-c280-4a3c-93d3-dbdb25645c90 · outbound

This paper cites Radical: A synchronized FMCW radar, depth, IMU and RGB camera data dataset with low-level FMCW radar signals,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Radical: A synchronized FMCW radar, depth, IMU and RGB camera data dataset with low-level FMCW radar signals,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:48.190434Z

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.

source=pdf_text observed=2026-08-07T15:26:47.434076Z digest=sha256:026995e997dfce52fed85c910e6042b4b65aaf0c81fc89e099e24a498b4db8e8

Observation 61bc550a-c9be-4b8e-9e22-daf60cadfda8 · outbound

This paper cites A flexible new technique for camera calibration,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar A flexible new technique for camera calibration,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:47.982037Z

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.

source=pdf_text observed=2026-08-07T15:26:47.530646Z digest=sha256:2e699024e54191d25b6aeaebc278c7ae0332753d84548ba0aa785f7241a03caa

Observation 972845e5-7bb7-41ae-93fb-0f7327d76ecd · outbound

This paper cites Depth Anything V2,.

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar Depth Anything V2,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:47.811354Z

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.

source=pdf_text observed=2026-08-07T15:26:47.625619Z digest=sha256:fd459ba0f345170865dd7bddc7eac29ce24a0e96e0296783a78b73e0b3c05148

Pith citing papers

Observation de5d442c-34ff-4a95-a20b-72551ea436fb · inbound

RadarSFD: Single-Frame Diffusion with Pretrained Priors for Radar Point Clouds cites this paper.

RadarSFD: Single-Frame Diffusion with Pretrained Priors for Radar Point Clouds RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T15:51:44.607913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:51:44.607913Z digest=sha256:16375ecf8d0978015801856e48156acb10cc54a7bf3e37450cc3b717d1cd953b