Paper Citation Record · LEDGER

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.21068.

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

pith.paper-citation-record.v1
2607.21068 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:35:44.714099Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

28 of 28 outbound references displayed

verified exact5
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdf1e4bd-8911-4dd8-b924-3b34a78b6803 · outbound

This paper cites Attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.141042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff870f5d-72e0-4ead-925b-32a0b68e772e · outbound

This paper cites A virtual soil moisture sensor for smart farming using deep learning,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification A virtual soil moisture sensor for smart farming using deep learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.296098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48882307-b315-40e1-81df-a994f1eb317e · outbound

This paper cites Cnn-based rolling bearing fault diagnosis method with quantifiable interpretability,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Cnn-based rolling bearing fault diagnosis method with quantifiable interpretability,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.380139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef2021d-29b0-4992-9ccb-ca1481afdb77 · outbound

This paper cites Improved saliency maps for interpretability of acoustic signal classification in condition monitor- ing of power transformers,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Improved saliency maps for interpretability of acoustic signal classification in condition monitor- ing of power transformers,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.609220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d92cf2-843f-4fd2-89a0-8ca598fa7cf4 · outbound

This paper cites An analysis method for interpretability of convolutional neural network in bearing fault diagnosis,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification An analysis method for interpretability of convolutional neural network in bearing fault diagnosis,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.769592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1cebae-084f-4546-a87c-4577c060f1ca · outbound

This paper cites Comprehensive analysis on machine learning approaches for inter- pretable and stable soft sensors,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Comprehensive analysis on machine learning approaches for inter- pretable and stable soft sensors,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:41.956029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b26085-295d-4f64-9ee4-e14c02dce6e1 · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Counterfactual explanations without opening the black box: Automated decisions and the gdpr,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:42.159952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0751059d-7901-4b17-b1e4-148470ccbedf · outbound

This paper cites Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:42.324090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef37b01-190f-4c23-8073-7229f6d7a01c · outbound

This paper cites GANTerfactual—counterfactual explanations for medical non-experts using generative adversarial learning,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification GANTerfactual—counterfactual explanations for medical non-experts using generative adversarial learning,

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-01T08:35:42.498536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf338e0-db49-4272-aff3-3a864e1e8f0c · outbound

This paper cites Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:42.673842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f1a6955-9eac-43b4-9488-3017e17e4ab5 · outbound

This paper cites Counterfactual explanations for medical image classification and regression using diffusion autoencoder,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Counterfactual explanations for medical image classification and regression using diffusion autoencoder,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:42.836073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76823dc5-751a-4c55-9e71-2b885bbde1fa · outbound

This paper cites Counterfactual diffusion models for interpretable morphology-based explanations of artificial intelligence models in pathology,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Counterfactual diffusion models for interpretable morphology-based explanations of artificial intelligence models in pathology,

Reference 12

Resolution: verified exact; doi, observed 2026-08-01T08:38:42.508460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acaffa12-8609-4bc1-b535-c218d6fa6763 · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:43.301298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1731f35-5b4a-4c5f-b69d-7edb0dc7a34e · outbound

This paper cites Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:43.380917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5d33d8-baba-4aaa-b6d9-4572fa502441 · outbound

This paper cites Sindel, A.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Sindel, A

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T08:38:41.935506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09ab5242-9f83-463c-9ef5-3a74ac8cd4c8 · outbound

This paper cites Selective Synthetic Augmentation with Quality Assurance.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Selective Synthetic Augmentation with Quality Assurance

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:43.570140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfe48dc9-643d-47e0-b72b-10ca142095dc · outbound

This paper cites Training calibration-based counterfactual explainers for deep learning models in medical image analysis,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Training calibration-based counterfactual explainers for deep learning models in medical image analysis,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:43.689437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37610558-cc06-4865-98fb-68f1954885c9 · outbound

This paper cites Visual explanations for the detection of diabetic retinopathy from retinal fundus images,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Visual explanations for the detection of diabetic retinopathy from retinal fundus images,

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T08:38:41.573489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bf691c8-96e9-4d7c-b443-3ff6e74ffe40 · outbound

This paper cites An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:43.988053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09edaac-50fc-468c-b997-88010b6e7476 · outbound

This paper cites Transfsm: Fetal anatomy segmentation and biometric measurement in ultrasound images using a hybrid transformer,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Transfsm: Fetal anatomy segmentation and biometric measurement in ultrasound images using a hybrid transformer,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.202222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d375cbe-4a13-45b8-baa5-10f3c5808eaa · outbound

This paper cites Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning,

Reference 21

Resolution: verified exact; doi, observed 2026-08-01T08:38:41.142756Z

Source-reported events for the cited work

correction dated 2019-07-31. Source: crossref record 10.1186/s12911-019-0876-y->10.1186/s12911-019-0842-8:correction, observed 2026-07-11T03:01:43.372414+00:00. This notice travels one citation hop only.

Observation 52bad553-8694-4a99-b61d-99be0d032636 · outbound

This paper cites Fundus image-based eye disease detection using EfficientNetB3 architecture,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Fundus image-based eye disease detection using EfficientNetB3 architecture,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.427554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea420d61-1099-49b7-80e9-e33818f101c9 · outbound

This paper cites Eye diseases classification dataset,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Eye diseases classification dataset,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.555471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c62c9a5-825f-4e40-840d-72aa1721f0db · outbound

This paper cites Self-supervised underwater image generation for underwater domain pre-training,.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Self-supervised underwater image generation for underwater domain pre-training,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.646448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e361d005-7373-46cb-9c03-bdf7919c69b8 · outbound

This paper cites Retinal fundus multi-disease image dataset (rfmid),.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Retinal fundus multi-disease image dataset (rfmid),

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.714099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfa9b34-aab6-41b7-a306-169f66387caf · outbound

This paper cites Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:42.233616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2ab738-9b68-44fb-83da-e1f07ce99c5a · outbound

This paper cites Available: https://doi.org/10.1038/s41598-021-04529-5.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Available: https://doi.org/10.1038/s41598-021-04529-5

Reference 2022

Resolution: verified exact; doi, observed 2026-08-01T08:38:41.756300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e7076fd-a1ce-4e98-908d-5acfd4fa45a4 · outbound

This paper cites Available: https://www.medrxiv.org/content/early/2024/ 06/27/2024.06.27.24309574.

Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification Available: https://www.medrxiv.org/content/early/2024/ 06/27/2024.06.27.24309574

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:44.060157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.