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Paper Citation Record · LEDGER

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach

As of 11 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2502.01940.

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

pith.paper-citation-record.v1
2502.01940 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:00:39.395019Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6eeff78-be88-403b-879a-5a73cf7ae5f7 · outbound

This paper cites Multi-sensor fusion in automated driving: A survey,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Multi-sensor fusion in automated driving: A survey,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.871877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.249127Z digest=sha256:77bfbb4e489a5f949d48bb8b0e4fba062615090baa0da18c53d5ca695ed96264

Observation dd5ad2ed-bb56-48ca-8c89-ddea43db217e · outbound

This paper cites Principles of modern radar,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Principles of modern radar,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.854344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.254496Z digest=sha256:41231ba60f9fd207b65d183639e781c1f90ca2e9b0f338add4f53251f7a873b9

Observation d6b19105-1b1f-4cd6-8d2d-541d13078fb7 · outbound

This paper cites A comprehensive survey of depth completion approaches,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach A comprehensive survey of depth completion approaches,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.836752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.259339Z digest=sha256:c093c222b72d03f6dd03020d2191e6d3fac6f5febb93e0a656592aac11d0c212

Observation 3694773f-f585-4e58-bee7-3e8d64d908b6 · outbound

This paper cites Deep radar detector,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Deep radar detector,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.819655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.264652Z digest=sha256:c1904f507ec1c218de88974c9a65b93aad8204eb8c5949ab515be10fa3d00cc5

Observation e1f6c6a4-fc57-48f5-ba04-fa257971c424 · outbound

This paper cites A novel radar point cloud gen- eration method for robot environment perception,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach A novel radar point cloud gen- eration method for robot environment perception,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.804115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.270632Z digest=sha256:357848a283a39b97c4d6bca6060a04e2722f52a686ad5c8ccd038d12ce437a84

Observation 48943e88-94a6-4480-8d52-efa1412e8058 · outbound

This paper cites See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:00:39.512867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.276034Z digest=sha256:1ffd4771a5de5bb2687e744aa6f4316cc6d32c7af3925ec3e32b51f371730172

Observation 0db3e043-6467-4ff1-a808-4d9b8e4759ce · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.282525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:00:39.282525Z digest=sha256:302b59e907550b8a7d3dd0e3a3010fe695f3d07ffdc0003007bca239982e15bb

Observation 25e7ae9e-625a-4539-8634-0a349db9db84 · outbound

This paper cites Smoothing periodograms from time-series with contin- uous spectra,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Smoothing periodograms from time-series with contin- uous spectra,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.788866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.288046Z digest=sha256:c8f5c28fd7c54fee9e2063a32f07db5e36a93a344facb9252ad03c5c02a89f01

Observation 5b3137ee-67e8-43de-a404-c7922150c0d3 · outbound

This paper cites Deep learning for spectrum sensing,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Deep learning for spectrum sensing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.773030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.292948Z digest=sha256:c47b3865c7c371577f2ff9e5e119c62aa928a922242f10fbd64529278e420ad2

Observation f9ad2e81-3f8a-4e48-9828-d42ba6ca962e · outbound

This paper cites Multi- class road user detection with 3+1d radar in the view-of-delft dataset,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Multi- class road user detection with 3+1d radar in the view-of-delft dataset,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.757560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.298003Z digest=sha256:7df752df0247eb731a9f73a999e15f9e8eb9aba9a78c88f9e6f2b7c973db04e9

Observation e4f4f2dc-4daf-4c16-8db2-ca88a5d0e10b · outbound

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

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach K-radar: 4d radar object detection for autonomous driving in various weather conditions,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.306700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b6f19d29-d2b4-4a46-a3e3-a1a63318a121 · outbound

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

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Radar-camera pixel depth association for depth completion,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.312719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:00:39.312719Z digest=sha256:2b69aa51e1b501925902f6a1cef3abe70128a58e09747cabcd754ea1f65139d2

Observation e210091a-34d2-4bb6-a10e-a738ae407e05 · outbound

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

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Depth estimation from camera image and mmwave radar point cloud,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.719012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.318477Z digest=sha256:853c706317ca1d64da0f9f91c253ab1458ebacb415e059f435bce6bb0beebded

Observation 7ab227c9-5507-4ed5-957a-034fc1697188 · outbound

This paper cites RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.324941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:00:39.324941Z digest=sha256:b04ecd304580f3b36f94379156cdc9bbe1966bc26468c0f1780a8042a1f6d2fa

Observation 3ed39269-2864-4d13-bf07-2aba49d30f68 · outbound

This paper cites Semantic-guided depth com- pletion from monocular images and 4d radar data,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Semantic-guided depth com- pletion from monocular images and 4d radar data,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.703209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.330580Z digest=sha256:6461d218f04f65394c56df673eabfde812558ff6ee796733a567074484a6b197

Observation 5b0f7850-4fc0-4a65-939a-d1d1b4135196 · outbound

This paper cites RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:00:39.450723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.336239Z digest=sha256:c972842faa38410b6977fad249b915cc17472e7d283178fc03d870271e021ff6

Observation 37279c13-7074-4feb-9905-6c3ea428fc37 · outbound

This paper cites Detection and localization of targets using millimeter wave radars: An experimental study,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Detection and localization of targets using millimeter wave radars: An experimental study,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.686906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7f020263-87fd-4ca8-a64d-cd9095b8a073 · outbound

This paper cites an unresolved cited work.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:00:39.666920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3f69783e-b9f8-4393-8084-f1b6ed9d6e63 · outbound

This paper cites Overview frequency princi- ple/spectral bias in deep learning,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Overview frequency princi- ple/spectral bias in deep learning,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.648886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.351594Z digest=sha256:cf5629a027271300a86d82584bbe7a8427839532aae3e11afd8d2eef1a778d99

Observation bda2d0c2-2e15-43e9-86cd-849e309ade0a · outbound

This paper cites an unresolved cited work.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:00:39.633014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.356490Z digest=sha256:efdc78b2f327503ae4129372194b91c8bc457dbd6e246a6abb9b5f1248db2a36

Observation 460c5385-26f8-4d98-93de-fbea68cf5571 · outbound

This paper cites Spatial-spectrum estimation in a location sector,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Spatial-spectrum estimation in a location sector,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.616038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.362171Z digest=sha256:6b5bc1fc395ead52ac8cdf6c176b4fa94f2ddd103ee8ce6163329a199c4049d0

Observation ecbad9d4-2e07-4e2f-a95f-bed35d43dd65 · outbound

This paper cites Semantic segmentation with extended deeplabv3 architecture,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Semantic segmentation with extended deeplabv3 architecture,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.600010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.367117Z digest=sha256:e9d22ffe9d42519efe2264e689d27770043516ac793e0b60e9d6f047153b83b1

Observation f693c606-d912-4819-a867-50d81a6ce29a · outbound

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

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach The cityscapes dataset for semantic urban scene understanding,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.584170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.372084Z digest=sha256:1be7c0cbdd94fb4a3612c2da1042a88753b30f64a1b5d77e18f0eb058a4f1bfd

Observation 2bd19a3e-343f-4fea-8c56-c57f9dd49f01 · outbound

This paper cites Pyramid scene parsing network,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Pyramid scene parsing network,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.377039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:00:39.377039Z digest=sha256:49ab8558d2813a9e75e1f056d3ddf8aa66b5aa9a3bb22356a9355ffa7a570ad1

Observation a9bf21e4-e9f2-4231-a30c-0beff36cbde0 · outbound

This paper cites Deep high-resolution repre- sentation learning for human pose estimation,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach Deep high-resolution repre- sentation learning for human pose estimation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.556745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.382262Z digest=sha256:fc1c9fb94500dad473176f92cb4f11787283dba5a715b2b6c2ec69bd73c3305c

Observation 23a1a8c9-cd1f-4a79-83d9-dbae1a6b9a50 · outbound

This paper cites The apolloscape dataset for autonomous driving,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach The apolloscape dataset for autonomous driving,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T14:00:39.387161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:00:39.387161Z digest=sha256:9bc7dcfaf1c1acf41c2524582cdd358fa49a0ca827ddac1daad76b8b6594dfe3

Observation 5fad3793-46c5-4758-8712-e23121a0ad62 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach The pascal visual object classes (voc) challenge,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:00:39.529307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T14:00:39.395019Z digest=sha256:74c9f27317736e22c5ebb05df2afcd9ca948f667250307f14166d92f567ff259

Pith citing papers

No inbound Pith citation observations are available.