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Paper Citation Record · LEDGER

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.15560.

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

pith.paper-citation-record.v1
2506.15560 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:42.387358Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:49:19.507938Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:49:19.648838Z

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 4f56bb47-8470-47f3-a3e2-e82cd3b2f305 · outbound

This paper cites Super-resolution and accurate full-field displacement measurement with millimeter- wave radars,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Super-resolution and accurate full-field displacement measurement with millimeter- wave radars,

Reference 1

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Observation c0d3bbe4-2d3b-42c1-91d5-4451362403b3 · outbound

This paper cites Continuous bridge displacement esti- mation using millimeter-wave radar, strain gauge and accelerometer,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Continuous bridge displacement esti- mation using millimeter-wave radar, strain gauge and accelerometer,

Reference 2

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Observation 1b7d97a3-92c5-4914-b692-04a8cdaf77cf · outbound

This paper cites 4d radar-based pose graph slam with ego-velocity pre-integration factor,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation 4d radar-based pose graph slam with ego-velocity pre-integration factor,

Reference 3

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Observation d5e65460-37d5-4db1-ab30-f6249362a2e4 · outbound

This paper cites Compensation for positional errors in mmw radar slam caused by observation deviations and coordinate system trans- formation,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Compensation for positional errors in mmw radar slam caused by observation deviations and coordinate system trans- formation,

Reference 4

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Source-reported events for the cited work

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Observation 198b3e9a-d54d-4abc-8740-3ce6797cae9c · outbound

This paper cites T-rodnet: Transformer for vehicular millimeter-wave radar object detection,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation T-rodnet: Transformer for vehicular millimeter-wave radar object detection,

Reference 5

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Observation ee661507-e71f-405b-bbee-8fa12e12f41c · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation K-radar: 4d radar object detection for autonomous driving in various weather conditions,

Reference 6

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Observation 44905408-5eaa-4300-8f79-e405d13c3480 · outbound

This paper cites End-to-end dynamic gesture recognition using mmwave radar,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation End-to-end dynamic gesture recognition using mmwave radar,

Reference 7

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Source-reported events for the cited work

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Observation db8dd8d2-c19e-44e6-ae14-e9da8886eaf6 · outbound

This paper cites Sparsity-driven gesture recognition using lightweight tcnformer networks in millimeter-wave radar,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Sparsity-driven gesture recognition using lightweight tcnformer networks in millimeter-wave radar,

Reference 8

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Observation 014d5b31-833b-4262-9923-65061f26600c · outbound

This paper cites Radarcam-depth: Radar-camera fusion for depth estimation with learned metric scale,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Radarcam-depth: Radar-camera fusion for depth estimation with learned metric scale,

Reference 9

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Observation 77fa98b4-452d-47b2-b703-bd4d86714e20 · outbound

This paper cites Full-velocity radar returns by radar-camera fusion,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Full-velocity radar returns by radar-camera fusion,

Reference 10

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Observation 3db65b19-c524-4908-b16e-c35e93d8692e · outbound

This paper cites Depth estimation from camera image and mmwave radar point cloud,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Depth estimation from camera image and mmwave radar point cloud,

Reference 11

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Observation 989c9df1-55a2-4f9e-89fd-b8fcdb454fd4 · outbound

This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Reference 12

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Observation 1d4e23b5-aeb8-417c-a18f-5a527d512024 · outbound

This paper cites Learning to recover 3d scene shape from a single image,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Learning to recover 3d scene shape from a single image,

Reference 13

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Observation 62304588-af44-4e6a-af27-3d76cef8c64b · outbound

This paper cites Vision transformers for dense prediction,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Vision transformers for dense prediction,

Reference 14

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Observation 0734b910-5fe3-4758-ad89-b199e41ba6ab · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 15

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Observation 1fe789c9-33da-422d-a1a9-5bf114a2a87c · outbound

This paper cites Monocular visual-inertial depth estimation,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Monocular visual-inertial depth estimation,

Reference 16

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Observation 7fac1814-7a43-4d2c-9418-92920c771987 · outbound

This paper cites Codevio: Visual-inertial odometry with learned optimizable dense depth,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Codevio: Visual-inertial odometry with learned optimizable dense depth,

Reference 17

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Observation 93a9a941-f664-4a67-bdb4-2a39a24f89c6 · outbound

This paper cites Video depth estimation by fusing flow-to-depth proposals,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Video depth estimation by fusing flow-to-depth proposals,

Reference 18

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Observation 76e761e6-9304-4517-9686-d1c4fb9037d1 · outbound

This paper cites Deep depth estimation from visual-inertial slam,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Deep depth estimation from visual-inertial slam,

Reference 19

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Observation 4e9cbb92-8211-4c72-939a-27a756f6c771 · outbound

This paper cites Unsupervised monocular depth estimation for monocular visual slam systems,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Unsupervised monocular depth estimation for monocular visual slam systems,

Reference 20

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Source-reported events for the cited work

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Observation 221c5a2d-d53c-47b0-a69d-e02538756917 · outbound

This paper cites Self-supervised monocular depth estimation with depth-motion prior for pseudo-lidar,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Self-supervised monocular depth estimation with depth-motion prior for pseudo-lidar,

Reference 21

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Observation fe1283a7-c840-4852-981c-fa9650738480 · outbound

This paper cites Robust consistent video depth estimation,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Robust consistent video depth estimation,

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f7cfbd53-43e0-4490-a652-1c389159dfce · outbound

This paper cites Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d7226aad-bf6e-455a-974e-d7d7d20c7dff · outbound

This paper cites UNO: Unified Self-Supervised Monocular Odometry for Platform-Agnostic Deployment.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation UNO: Unified Self-Supervised Monocular Odometry for Platform-Agnostic Deployment

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 22bed23f-6f84-4aba-a290-072ff8784f67 · outbound

This paper cites Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Neslam: Neural implicit mapping and self-supervised feature tracking with depth completion and denoising,

Reference 25

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Observation c265b498-5a7c-4807-8dd5-4366f3c7f358 · outbound

This paper cites Self-supervised deep monocular visual odometry and depth estimation with observation variation,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Self-supervised deep monocular visual odometry and depth estimation with observation variation,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9b59e013-bda9-4f89-a524-faa949598aa8 · outbound

This paper cites Depth estimation from monocular images and sparse radar data,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Depth estimation from monocular images and sparse radar data,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 128de8e7-bd72-42fb-9d0c-bbdfd32ed718 · outbound

This paper cites Depth estimation from monocular images and sparse radar using deep ordinal regression network,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Depth estimation from monocular images and sparse radar using deep ordinal regression network,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 59a1ba74-3bae-4bf9-a600-2f384ed370cc · outbound

This paper cites Radar-camera pixel depth association for depth completion,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Radar-camera pixel depth association for depth completion,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9d167d25-0e86-40a9-8bb1-d677cf8627a6 · outbound

This paper cites Dense depth- map estimation based on fusion of event camera and sparse lidar,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Dense depth- map estimation based on fusion of event camera and sparse lidar,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4b893f6c-65c0-4238-860f-f5c77514318a · outbound

This paper cites R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dd9b03ce-bcc1-4e55-8dd8-f8099ba7d7da · outbound

This paper cites Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Sfpnet: Sparse focal point network for semantic segmentation on general lidar point clouds,

Reference 32

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e2a65704-870b-41aa-a7a5-e9ce8bca8323 · outbound

This paper cites Salt: A flexible semi-automatic labeling tool for general lidar point clouds with cross-scene adaptability and 4d consistency,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Salt: A flexible semi-automatic labeling tool for general lidar point clouds with cross-scene adaptability and 4d consistency,

Reference 33

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raw_fallback, observed 2026-08-06T23:58:43.769615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:58:41.615716Z digest=sha256:648b1991e600f95ade2c2661366fc3e14d0c23d90927ccd4fac6e05f1c0ce262

Observation 21436761-d68c-4db3-b1d4-c3b239b91fea · outbound

This paper cites Deep residual learning for image recognition,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Deep residual learning for image recognition,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:58:43.550543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:58:41.708280Z digest=sha256:be926f430a05f740ce1e7451ebd674f98a2adacdc2a9f19e96fee58a63f53939

Observation 118f8165-5b8a-471a-a0ce-a0ed023223e8 · outbound

This paper cites Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:41.807576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:58:41.807576Z digest=sha256:dde4b853552f4cb5fe0e5e91f485f82eccd146ab2f0385f661ba5b408bc1977f

Observation 3856691d-6c51-47a7-a07d-237d64ef1645 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:41.894887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:58:41.894887Z digest=sha256:eed5596bafdc247d915fcfcdb626761c470f85203fe26e759ad66cde40a2f124

Observation 9a6823af-ed52-4237-848c-ee5b0fffddf5 · outbound

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

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation nuscenes: A multimodal dataset for autonomous driving,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:42.047728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:58:42.047728Z digest=sha256:32c70864ae16dbab89cf6fe88f945589863c83db5318b682ec8a77a9f9415199

Observation e0e91bd9-4eb6-47f6-8b3e-6e0398220b7d · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Imagenet: A large-scale hierarchical image database,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:58:43.378143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:58:42.124812Z digest=sha256:849c8b48d2453ed68f51897f1618234e61e46af4e7402991370e1772ceaa2da1

Observation 34162a3b-1f6c-4d64-bc82-7e5d178846b5 · outbound

This paper cites Neuralrecon: Real-time coherent 3d reconstruction from monocular video,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Neuralrecon: Real-time coherent 3d reconstruction from monocular video,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:58:43.244245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:58:42.207771Z digest=sha256:35afaf9c3676068439e31026c550775fb699b152adcccfdcf619a270e3e7b09e

Observation 42f44311-ec5a-4935-bc23-d5bec9cd1048 · outbound

This paper cites Frozenrecon: Pose-free 3d scene reconstruction with frozen depth models,.

RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation Frozenrecon: Pose-free 3d scene reconstruction with frozen depth models,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:58:43.116787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:58:42.387358Z digest=sha256:20ef4d1fe89711f91d8b77af8d9d6707f1ac7a068454a1f805ba4b1f61e710bc

Pith citing papers

Observation 7a9a4778-43e4-4636-a53b-0f36e62fd7bb · inbound

RbFT-Net: Rectify-Before-Fuse Temporal Radar Anchors for 4D Radar-Camera Depth Completion cites this paper.

RbFT-Net: Rectify-Before-Fuse Temporal Radar Anchors for 4D Radar-Camera Depth Completion RaCalNet: Radar Calibration Network for Sparse-Supervised Metric Depth Estimation

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T16:49:19.652752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T16:49:19.507938Z digest=sha256:5f926cb3deaa2d6576a1d377cacfc53fa51cb88ae85ec5a54dc807f915e4e72e