Paper Citation Record · LEDGER

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.16380.

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

pith.paper-citation-record.v1
2412.16380 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:42:59.385318Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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 fuzzy12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4129d841-7740-4b96-9aeb-b16775c73e76 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.180543Z

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Observation d3587d1d-a44e-4b1f-9433-f7276c55e1bf · outbound

This paper cites BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.187404Z

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Observation 4dec34b2-57dc-448b-88b6-3259ef7432b0 · outbound

This paper cites P3depth: Monocular depth estimation with a piecewise planarity prior,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance P3depth: Monocular depth estimation with a piecewise planarity prior,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.193324Z

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Observation adcf1320-9fa4-49c4-9c1d-72ee8bcbdf42 · outbound

This paper cites VA-DepthNet: A Variational Approach to Single Image Depth Prediction.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.199606Z

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Observation 7e6a225b-c5e5-4da2-9c20-86bf1be522c1 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Deep ordinal regression network for monocular depth estimation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.205772Z

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Observation f8357fdf-825a-4bce-92f3-ea68fc7d5ed3 · outbound

This paper cites Monocular depth estimation using laplacian pyramid-based depth residuals,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Monocular depth estimation using laplacian pyramid-based depth residuals,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:43:00.089802Z

Source-reported events for the cited work

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Observation 8ea85205-5aad-4104-baf5-76b41190dde0 · outbound

This paper cites Learning depth with convolutional spatial propagation network,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Learning depth with convolutional spatial propagation network,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:43:00.069587Z

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Observation ded06198-bfeb-47ae-b2d0-c2b9a32014f4 · outbound

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

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Depth estimation from monocular images and sparse radar data,

Reference 8

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Observation 6c0190c0-d97c-4afd-b898-3f772f29fc58 · outbound

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

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Radar-camera pixel depth association for depth completion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.228065Z

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Observation d5b8bfe8-e840-4903-8c3d-f3baf566a2ca · outbound

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

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Depth estimation from monocular images and sparse radar using deep ordinal regression network,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.233371Z

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Observation daf44f88-9de9-4108-b3e7-e73db4aab743 · outbound

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

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Depth estimation from camera image and mmwave radar point cloud,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.238462Z

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Observation 568d4444-ee73-4593-a9c5-7f8cfedd406a · outbound

This paper cites CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:42:59.612697Z

Source-reported events for the cited work

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Observation e439eb25-f887-4b85-b841-d2ba86ede13a · outbound

This paper cites Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.249774Z

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Observation 77614456-8d9b-4b4d-83b8-d6181ab72ecd · outbound

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

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance nuscenes: A multimodal dataset for autonomous driving,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.255938Z

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Observation c0e7ef60-27ba-4805-bfb2-4095f580862e · outbound

This paper cites Multi-task cross-modality attention-fusion for 2d object detection,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Multi-task cross-modality attention-fusion for 2d object detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.974646Z

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Observation a3e5d027-6f5e-422c-a7ca-2de59d152d33 · outbound

This paper cites Enhanced radar perception via multi-task learning: Towards refined data for sensor fusion applications,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Enhanced radar perception via multi-task learning: Towards refined data for sensor fusion applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.951539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df60686a-f5e3-4e40-a636-804dee4207ce · outbound

This paper cites GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:42:59.542875Z

Source-reported events for the cited work

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Observation c9f158f3-b589-472e-9306-ac8a12295d48 · outbound

This paper cites Deep residual learning for image recognition,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Deep residual learning for image recognition,

Reference 18

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Observation d647d66f-e127-430a-9ffc-a3c54272746f · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 19

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Observation dad1f6d6-5155-461a-99a2-698f7f02b467 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Distilling the Knowledge in a Neural Network

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.291059Z

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Observation a5041c5a-4202-48d7-81a0-0a1bd473e68a · outbound

This paper cites Deep mutual learning,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Deep mutual learning,

Reference 21

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Source-reported events for the cited work

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Observation 0124e586-56b7-43d8-b695-199ed651697d · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance FitNets: Hints for Thin Deep Nets

Reference 22

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Observation 2badc825-221d-4f82-9852-36f66b04c440 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 23

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Observation 92dd0395-5f01-4672-8e98-e0579a437dfe · outbound

This paper cites Mimicking very efficient network for object detection,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Mimicking very efficient network for object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.884282Z

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Observation cc0634a4-edb7-43f3-81f7-1e531d51f776 · outbound

This paper cites Crkd: Enhanced camera-radar object detection with cross-modality knowledge distillation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Crkd: Enhanced camera-radar object detection with cross-modality knowledge distillation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.865346Z

Source-reported events for the cited work

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Observation cec4b0ad-9904-46e0-83c7-60124e98d6ef · outbound

This paper cites Learning efficient object detection models with knowledge distillation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Learning efficient object detection models with knowledge distillation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.322803Z

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Observation 1fa9be9a-3454-4e74-a8de-5665f2a1374e · outbound

This paper cites Knowledge distillation for semantic segmenta- tion using channel and spatial correlations and adaptive cross entropy,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Knowledge distillation for semantic segmenta- tion using channel and spatial correlations and adaptive cross entropy,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.819533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7420835b-7474-4a40-91d5-13dc7b2803da · outbound

This paper cites Structured knowledge distillation for semantic segmentation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Structured knowledge distillation for semantic segmentation,

Reference 28

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Observation 6b49bf63-dc94-472d-a0c5-5cd1f480887e · outbound

This paper cites Knowledge adaptation for efficient semantic segmentation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Knowledge adaptation for efficient semantic segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.777690Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35fa5a48-2cb7-45e4-97e2-6693b5777e8b · outbound

This paper cites Boost- ing monocular depth estimation with lightweight 3d point fusion,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Boost- ing monocular depth estimation with lightweight 3d point fusion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.754267Z

Source-reported events for the cited work

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Observation 1d82ac5e-0f4a-439a-942a-781ba9da0812 · outbound

This paper cites Knowledge distillation for fast and accurate monocular depth estimation on mobile devices,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Knowledge distillation for fast and accurate monocular depth estimation on mobile devices,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.733319Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72278785-f06d-4b08-98a8-936072c76905 · outbound

This paper cites Lightweight depth completion network with local similarity-preserving knowledge distillation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Lightweight depth completion network with local similarity-preserving knowledge distillation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:59.713392Z

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Observation 9eefe94d-d5c6-49bb-a56e-4323d662745a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance U-net: Convolutional networks for biomedical image segmentation,

Reference 33

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Observation 6c220559-62ff-47b9-b4f7-b8335f7340f4 · outbound

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LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance Unresolved cited work

Reference 34

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Observation 5051a7aa-1068-4322-aaad-62c581514774 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:59.385318Z

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Pith citing papers

No inbound Pith citation observations are available.