Paper Citation Record · LEDGER

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2605.11875.

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

pith.paper-citation-record.v1
2605.11875 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:32:32.881414Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

40 of 40 outbound references displayed

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verified fuzzy38
unresolved1
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a5922fd-dd9f-4f0d-b1de-ff8f8069aa90 · outbound

This paper cites Revolution of wireless signal recognition for 6g: Recent advances, challenges and future directions.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Revolution of wireless signal recognition for 6g: Recent advances, challenges and future directions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.749239Z

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Observation 559725d0-4419-4370-984b-b422d59f6f5f · outbound

This paper cites Recent advances in automatic modulation classification technology: Methods, results, and prospects.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Recent advances in automatic modulation classification technology: Methods, results, and prospects

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.757657Z

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Observation e689f117-af8a-436c-90e6-b41904f540f5 · outbound

This paper cites Boosting robustness in automatic modulation recognition for wireless communications.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Boosting robustness in automatic modulation recognition for wireless communications

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.745252Z

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Observation 5700429b-217d-4c25-a12e-744df075bff0 · outbound

This paper cites A hybrid approach for cross-dataset modulation recognition of wireless inter- ference.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification A hybrid approach for cross-dataset modulation recognition of wireless inter- ference

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.753303Z

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Observation df0f7ef8-225c-4772-b826-516450e5f866 · outbound

This paper cites Deep learning models for wireless signal classification with distributed low- cost spectrum sensors.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Deep learning models for wireless signal classification with distributed low- cost spectrum sensors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.687969Z

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Observation 839204fb-8339-4c1d-848a-9c0adc632579 · outbound

This paper cites A ultra-low cost and accurate amc algorithm and its hardware implementation.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification A ultra-low cost and accurate amc algorithm and its hardware implementation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.696640Z

Source-reported events for the cited work

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Observation 79013b55-92d3-4758-b104-421f2c1692f4 · outbound

This paper cites Contrastive self- supervised clustering for specific emitter identification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Contrastive self- supervised clustering for specific emitter identification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.679778Z

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Observation fe8e15ca-3023-452e-aff1-d58382077298 · outbound

This paper cites Learn to defend: Adversarial multi-distillation for automatic modulation recognition models.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Learn to defend: Adversarial multi-distillation for automatic modulation recognition models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.661308Z

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Observation 804f82c0-ca26-4ad5-8db5-64504f33864a · outbound

This paper cites Generalized automatic modulation classification for ofdm systems under unseen synthetic channels.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Generalized automatic modulation classification for ofdm systems under unseen synthetic channels

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.692534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c747568d-6d2b-4a4f-8e19-22757e57b83c · outbound

This paper cites Automatic composite-modulation classification using cyclic-paw-print features for cognitive aerospace communications.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Automatic composite-modulation classification using cyclic-paw-print features for cognitive aerospace communications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.666026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1bda095-4f92-4b3c-a660-f46a2cc3553e · outbound

This paper cites Online hybrid likelihood based modulation classification us- ing multiple sensors.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Online hybrid likelihood based modulation classification us- ing multiple sensors

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.674945Z

Source-reported events for the cited work

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Observation 85a17286-e2e1-43b5-8507-a997e7ca3f8c · outbound

This paper cites A likelihood-based algo- rithm for blind identification of qam and psk signals.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification A likelihood-based algo- rithm for blind identification of qam and psk signals

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.730452Z

Source-reported events for the cited work

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Observation 7a867299-1f93-4661-bd1e-2defe39ed7e2 · outbound

This paper cites Deep learning for modulation recognition: A survey with a demonstration.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Deep learning for modulation recognition: A survey with a demonstration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.713774Z

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Observation 8621b461-24ea-44ad-a0d0-280627fca0bc · outbound

This paper cites Automatic modulation classification: A deep architecture survey.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Automatic modulation classification: A deep architecture survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.700753Z

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Observation b828bb26-9e29-4386-be8c-a76e5978116a · outbound

This paper cites Mclhn: Toward automatic modulation classification via masked contrastive learning with hard negatives.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Mclhn: Toward automatic modulation classification via masked contrastive learning with hard negatives

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.705287Z

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Observation 25380eee-c014-49f4-b0e9-ffae2a48b8c0 · outbound

This paper cites A transformer-based contrastive semi-supervised learning framework for automatic modula- tion recognition.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification A transformer-based contrastive semi-supervised learning framework for automatic modula- tion recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.709743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 971e4364-66f5-40a8-9a4a-10fdf8ed45a5 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification A simple framework for contrastive learning of visual representations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.718024Z

Source-reported events for the cited work

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Observation 74f8f0c1-8c79-423b-ad4b-54c15d37561d · outbound

This paper cites Masked au- toencoders are scalable vision learners.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Masked au- toencoders are scalable vision learners

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.722351Z

Source-reported events for the cited work

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Observation 1ffb3e1c-9ed4-4a58-b00f-87e576766364 · outbound

This paper cites Self-contrastive learning based semi-supervised radio modulation classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Self-contrastive learning based semi-supervised radio modulation classification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.726641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee948e7d-2778-4203-8bab-32408c965eb1 · outbound

This paper cites Gaf-mae: A self- supervised automatic modulation classification method based on gramian angular field and masked autoencoder.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Gaf-mae: A self- supervised automatic modulation classification method based on gramian angular field and masked autoencoder

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.733572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 448a7d4f-8f8d-41f7-b58c-61c632eab22d · outbound

This paper cites Predicting spectral information for self-supervised signal classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Predicting spectral information for self-supervised signal classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.737983Z

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Observation f2f53829-c248-48b4-ac6f-e09185d0e653 · outbound

This paper cites An introduction to deep learning for the physical layer.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification An introduction to deep learning for the physical layer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.683867Z

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Observation 88625658-29a3-4baf-8e10-fd7acad2066c · outbound

This paper cites Rml22: Realistic dataset generation for wireless modulation classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Rml22: Realistic dataset generation for wireless modulation classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.652777Z

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Observation 29b0fe76-4d46-42ae-bb69-06ecd3a63905 · outbound

This paper cites an unresolved cited work.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Unresolved cited work

Reference 24

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Observation b7ca1371-933f-40f0-9d92-cba11f2437fc · outbound

This paper cites Radio machine learning dataset generation with gnu radio.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Radio machine learning dataset generation with gnu radio

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.636478Z

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Observation a54bf390-d17f-4a29-aa3a-e58f5957bcce · outbound

This paper cites Convolutional radio modula- tion recognition networks.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Convolutional radio modula- tion recognition networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.639985Z

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Observation c4b51681-6995-4bf2-bc09-ebfbdbaf473c · outbound

This paper cites Automatic modulation classification algorithm using higher-order cumulants under real-world channel con- ditions.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Automatic modulation classification algorithm using higher-order cumulants under real-world channel con- ditions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.741500Z

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Observation 5af0ab5a-d4a5-4b68-ac45-16a03b27229f · outbound

This paper cites Automatic modulation classification of overlapped sources using multiple cumulants.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Automatic modulation classification of overlapped sources using multiple cumulants

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.628857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5799be12-c300-41f3-a9f7-6f07ed3d29b2 · outbound

This paper cites Performance study of cyclostationary based digital modulation classification schemes.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Performance study of cyclostationary based digital modulation classification schemes

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.624794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 506421d4-709d-40e8-b34d-c5460e11e7e3 · outbound

This paper cites Automatic modulation classification architectures based on cyclostationary features in impulsive environments.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Automatic modulation classification architectures based on cyclostationary features in impulsive environments

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.643846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4616dc07-a848-427a-8835-bd4752e55050 · outbound

This paper cites Cnn-based automatic modulation classification under phase imperfections.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Cnn-based automatic modulation classification under phase imperfections

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.632903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53d1848f-53ef-4c32-ab36-5ac78f523899 · outbound

This paper cites Signet: A novel deep learning framework for radio signal classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Signet: A novel deep learning framework for radio signal classification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.620898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c8979c1-b9e9-40af-877c-e1b763989a3b · outbound

This paper cites Real-time radio technology and modulation classification via an lstm auto-encoder.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Real-time radio technology and modulation classification via an lstm auto-encoder

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.612900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8b9dfb3-4794-4ad0-ac22-823eec95dcca · outbound

This paper cites Mcformer: A transformer based deep neural network for automatic modulation classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Mcformer: A transformer based deep neural network for automatic modulation classification

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.616832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e7b4186-2cb9-4483-b7f8-c140819d69b2 · outbound

This paper cites Amc-transformer: Automatic modulation classification based on enhanced attention model.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Amc-transformer: Automatic modulation classification based on enhanced attention model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.598943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5d2b0a9-bca5-415b-805d-5a796b4c7ada · outbound

This paper cites Multi- representation domain attentive contrastive learning based unsupervised automatic modulation recognition.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Multi- representation domain attentive contrastive learning based unsupervised automatic modulation recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.603457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cccb41b2-2e57-4d9c-8f21-95188da30d85 · outbound

This paper cites Aflnet: Auxiliary feature learning-guided cross-channel automatic modulation classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Aflnet: Auxiliary feature learning-guided cross-channel automatic modulation classification

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.607513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c369a3a2-8e97-4653-aa2f-6b70b09818ee · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Momentum contrast for unsupervised visual representation learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.647758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3766321c-c560-4b80-ad94-30f0d8275c01 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Representation Learning with Contrastive Predictive Coding

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:37:19.712933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a0ba35d-30bf-4a9c-a844-e367d3438b7d · outbound

This paper cites Sigda: A superimposed domain adaptation framework for automatic modulation classification.

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Sigda: A superimposed domain adaptation framework for automatic modulation classification

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:22:39.670394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.