Paper Citation Record · LEDGER

Self-Supervised Learning for Solar Radio Spectrum Classification

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2502.03778.

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

pith.paper-citation-record.v1
2502.03778 v1

Coverage vector

measured 32 of 32 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation 7d2d3e92-321d-4903-810e-8223f88138b6 · outbound

This paper cites Automated Detection of Solar Radio Bursts Using a Statistical Method.

Self-Supervised Learning for Solar Radio Spectrum Classification Automated Detection of Solar Radio Bursts Using a Statistical Method

Reference 1

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Observation 077568d6-87ce-4542-9b40-64402332c02e · outbound

This paper cites A solar radio dynamic spectrograph with flexible temporal‐spectral resolution.

Self-Supervised Learning for Solar Radio Spectrum Classification A solar radio dynamic spectrograph with flexible temporal‐spectral resolution

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.066721Z

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Observation 232df6bb-9e44-4ca3-b417-bed0ee2cdefd · outbound

This paper cites Performance comparison of power divider and fiber splitter in the fi‐ ber‐based frequency transmission system of solar radio observation.

Self-Supervised Learning for Solar Radio Spectrum Classification Performance comparison of power divider and fiber splitter in the fi‐ ber‐based frequency transmission system of solar radio observation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.056259Z

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Observation 1c880b45-84a9-4701-a635-526ce151659d · outbound

This paper cites A new solar broadband radio spectrometer (SBRS) in China.

Self-Supervised Learning for Solar Radio Spectrum Classification A new solar broadband radio spectrometer (SBRS) in China

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.045041Z

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Observation 85e6a913-e6a7-4836-b0f5-ac98de4c612f · outbound

This paper cites Multimodal deep learning for solar radio burst classification.

Self-Supervised Learning for Solar Radio Spectrum Classification Multimodal deep learning for solar radio burst classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.034126Z

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Observation f98ea260-d2f7-482e-a1b9-4137b89fbb53 · outbound

This paper cites BERT: Pre‐Training of Deep Bidirectional Transformers for Language Understanding; NAACL HLT: Minneapolis, MN, USA, 2019.

Self-Supervised Learning for Solar Radio Spectrum Classification BERT: Pre‐Training of Deep Bidirectional Transformers for Language Understanding; NAACL HLT: Minneapolis, MN, USA, 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.024478Z

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Observation feaa7563-5647-46b9-bc5a-a51a0e14717f · outbound

This paper cites An Appearance Defect Detection Method for Cigarettes Based on C‐CenterNet.

Self-Supervised Learning for Solar Radio Spectrum Classification An Appearance Defect Detection Method for Cigarettes Based on C‐CenterNet

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.015069Z

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Observation ea7cb5b7-9398-467d-82bd-8c72ce9d8aa7 · outbound

This paper cites RS‐YOLOX: A High‐Precision Detector for Object Detection in Satellite Remote Sensing Images.

Self-Supervised Learning for Solar Radio Spectrum Classification RS‐YOLOX: A High‐Precision Detector for Object Detection in Satellite Remote Sensing Images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:01.004699Z

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Observation 7558c225-0362-4dff-ab7f-0fd5c2eb33b5 · outbound

This paper cites A broadband digital receiving system with large dynamic range for solar radio observation.

Self-Supervised Learning for Solar Radio Spectrum Classification A broadband digital receiving system with large dynamic range for solar radio observation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.994518Z

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Observation bd3eeb67-206f-4e32-b5f6-7060d6ec8f33 · outbound

This paper cites A type III radio burst automatic analysis system and statistic results for a half solar cycle with Nancay Decameter Array data.

Self-Supervised Learning for Solar Radio Spectrum Classification A type III radio burst automatic analysis system and statistic results for a half solar cycle with Nancay Decameter Array data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.982093Z

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Observation 210b5be6-e3a1-47ab-b221-72da3a95fa27 · outbound

This paper cites ImageNet classification with deep convolutional neural networks.

Self-Supervised Learning for Solar Radio Spectrum Classification ImageNet classification with deep convolutional neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.971733Z

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Observation 7b191f0d-bf15-4fd3-b2d3-0001c543b87f · outbound

This paper cites Going deeper with convolutions.

Self-Supervised Learning for Solar Radio Spectrum Classification Going deeper with convolutions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.959711Z

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Observation d1419ee7-b8ca-4ab5-9e7e-ba3cbd7d8951 · outbound

This paper cites Long short‐term memory.

Self-Supervised Learning for Solar Radio Spectrum Classification Long short‐term memory

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.947097Z

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Observation 8504387f-7dd5-4171-80de-ec6eea6075b6 · outbound

This paper cites Learning deep architectures for AI.

Self-Supervised Learning for Solar Radio Spectrum Classification Learning deep architectures for AI

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.937502Z

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Observation 954cd63b-2124-45a7-a5e4-f584e9f8ee9a · outbound

This paper cites Research on classification algorithm of solar radio spectrum based on convolutional neural network.

Self-Supervised Learning for Solar Radio Spectrum Classification Research on classification algorithm of solar radio spectrum based on convolutional neural network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.926787Z

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Observation 271e5116-4109-411e-9093-9c15f571e6eb · outbound

This paper cites Automated deep CNN‐LSTM architecture design for solar irradiance forecasting.

Self-Supervised Learning for Solar Radio Spectrum Classification Automated deep CNN‐LSTM architecture design for solar irradiance forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.913745Z

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Observation 87e5ee3e-5b21-432e-a0e1-2eb931575c4e · outbound

This paper cites Asymmetrical and symmetrical naphthalene monoimide fused perylene diimide ac‐ ceptors for organic solar cells.

Self-Supervised Learning for Solar Radio Spectrum Classification Asymmetrical and symmetrical naphthalene monoimide fused perylene diimide ac‐ ceptors for organic solar cells

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.902523Z

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Observation 21a3b152-1ffc-437a-9ce9-9fe0508bf2a0 · outbound

This paper cites Deep residual learning for image recognition.

Self-Supervised Learning for Solar Radio Spectrum Classification Deep residual learning for image recognition

Reference 18

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Observation d71bf0ee-5898-4467-811e-73c44b8e48e8 · outbound

This paper cites A method for the automated detection of solar radio bursts in dynamic spectra.

Self-Supervised Learning for Solar Radio Spectrum Classification A method for the automated detection of solar radio bursts in dynamic spectra

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.879774Z

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Observation 24c5b973-4390-4f00-a99f-ff52992e23e6 · outbound

This paper cites Attention is All You Need; NIPS: Long Beach, LA, USA, 2017.

Self-Supervised Learning for Solar Radio Spectrum Classification Attention is All You Need; NIPS: Long Beach, LA, USA, 2017

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.869086Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c91901a9-75ba-450d-82ff-0f4c215224b8 · outbound

This paper cites A Survey on Visual Transformer.

Self-Supervised Learning for Solar Radio Spectrum Classification A Survey on Visual Transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.654963Z

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Observation eecf979e-800d-4050-acc7-7863dc934c76 · outbound

This paper cites Vectorization and rasterization: Self‐supervised learning for sketch and handwriting.

Self-Supervised Learning for Solar Radio Spectrum Classification Vectorization and rasterization: Self‐supervised learning for sketch and handwriting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.858461Z

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Observation 5c9a23be-df12-410c-affb-086ff75fd83c · outbound

This paper cites Prototypical cross‐domain self‐supervised learning for few‐shot unsupervised domain adaptation.

Self-Supervised Learning for Solar Radio Spectrum Classification Prototypical cross‐domain self‐supervised learning for few‐shot unsupervised domain adaptation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.845701Z

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Observation 7e506561-99f6-450e-a8da-777f04e9d25c · outbound

This paper cites Self‐supervised learning of depth inference for multi‐view stereo.

Self-Supervised Learning for Solar Radio Spectrum Classification Self‐supervised learning of depth inference for multi‐view stereo

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.832074Z

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Observation bc0972a7-f6aa-4326-80d0-9b94ea929cae · outbound

This paper cites Selfaugment: Automatic augmentation policies for self‐supervised learning.

Self-Supervised Learning for Solar Radio Spectrum Classification Selfaugment: Automatic augmentation policies for self‐supervised learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.819105Z

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Observation db576598-459e-43de-a917-520eee38ae6d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Self-Supervised Learning for Solar Radio Spectrum Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.675792Z

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Observation 3a9b3d4e-d310-4434-aa87-764e7d08d051 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Self-Supervised Learning for Solar Radio Spectrum Classification Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.806447Z

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Observation f8d98f75-7144-406e-a969-ee728e7928ff · outbound

This paper cites Tokens‐to‐Token ViT: Training Vision Transformers from Scratch on ImageNet.

Self-Supervised Learning for Solar Radio Spectrum Classification Tokens‐to‐Token ViT: Training Vision Transformers from Scratch on ImageNet

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.795578Z

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Observation 62eeb2d1-23c2-400b-a8e9-2ac0201c90ad · outbound

This paper cites Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions.

Self-Supervised Learning for Solar Radio Spectrum Classification Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.784908Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bc1e252-ef4b-4651-99fa-33d71c0d86f3 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Self-Supervised Learning for Solar Radio Spectrum Classification Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.690140Z

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Observation 48302422-d046-4ebb-a55b-bbca28d756e4 · outbound

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

Self-Supervised Learning for Solar Radio Spectrum Classification Imagenet: A large‐scale hierarchical image database

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:50:00.772589Z

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Observation 3f3d46d3-115d-4d92-95bf-891b87324480 · outbound

This paper cites DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks.

Self-Supervised Learning for Solar Radio Spectrum Classification DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.696842Z

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