Paper Citation Record · LEDGER

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2508.02528.

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

pith.paper-citation-record.v1
2508.02528 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:59.318127Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:34:14.392921Z

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 exact3
verified fuzzy28
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e358223c-23fe-4b36-8e12-6a76755979e4 · outbound

This paper cites Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T05:03:56.331109Z

Source-reported events for the cited work

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Observation 3ee02863-991d-4fd4-a144-d2c961ed6adc · outbound

This paper cites Can pathology diagnostic services for cancer be stratified and serve global health? Cancer 126, 2431–2438.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Can pathology diagnostic services for cancer be stratified and serve global health? Cancer 126, 2431–2438

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:07.354957Z

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Observation 7446409f-db29-4761-836f-792a20394d7e · outbound

This paper cites an unresolved cited work.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Unresolved cited work

Reference 3

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Observation 12d80cdd-d9fc-48a1-8db8-986fa2f3bd62 · outbound

This paper cites Region-guided cy- clegans for stain transfer in whole slide images, in: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Region-guided cy- clegans for stain transfer in whole slide images, in: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.765746Z

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Observation d9456c2b-b8a3-44e7-9369-750e16b224a3 · outbound

This paper cites The demonstration of pneumococcal antigen in tissues by the use of fluorescent antibody.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC The demonstration of pneumococcal antigen in tissues by the use of fluorescent antibody

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.586124Z

Source-reported events for the cited work

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Observation dc030bd5-2537-4cc3-beaf-f275786ac8c7 · outbound

This paper cites Modern Pathology 35, 44–51.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Modern Pathology 35, 44–51

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.395145Z

Source-reported events for the cited work

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Observation e7e5387f-7a82-4f2d-89e7-4a683bc3d6c6 · outbound

This paper cites Vesseldiffusion:3dvascular structuregenerationbasedondiffusionmodel.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Vesseldiffusion:3dvascular structuregenerationbasedondiffusionmodel

Reference 7

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Source-reported events for the cited work

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Observation fdba3b05-616e-4214-b6c0-523a41442e35 · outbound

This paper cites Deep learning-based transformation of h&e stained tissues into special stains.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Deep learning-based transformation of h&e stained tissues into special stains

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.238073Z

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Observation 547c60de-968d-4466-9cb5-766294863b4e · outbound

This paper cites Deep Residual Learning for Image Recognition.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Deep Residual Learning for Image Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:03:57.123774Z

Source-reported events for the cited work

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Observation fea545c2-557d-4718-b734-39f90b3394bb · outbound

This paper cites Pst-diff: achieving high-consistency stain transfer by diffusion models with pathological and structural constraints.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Pst-diff: achieving high-consistency stain transfer by diffusion models with pathological and structural constraints

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.069298Z

Source-reported events for the cited work

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Observation 331232be-a2ac-4447-9831-1889a4f6441a · outbound

This paper cites Denoising diffusion probabilistic models.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Denoising diffusion probabilistic models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:05.908823Z

Source-reported events for the cited work

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Observation 15c6d5c9-582a-4d87-a22d-8e2a7a4147e6 · outbound

This paper cites Image quality metrics: Psnr vs.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Image quality metrics: Psnr vs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:05.714644Z

Source-reported events for the cited work

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Observation 6aaf6ce4-1b07-4584-8d6b-81b402b828a4 · outbound

This paper cites Image-to-image translation with conditional adversarial networks, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Image-to-image translation with conditional adversarial networks, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:05.509939Z

Source-reported events for the cited work

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Observation 0d17809a-ec96-45d6-aaaf-c4b38fb1c32b · outbound

This paper cites Keychallengesfordeliveringclinicalimpactwithartificial intelligence.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Keychallengesfordeliveringclinicalimpactwithartificial intelligence

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:05.310848Z

Source-reported events for the cited work

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Observation 44f03dff-434d-41ca-8101-2ea52e63e691 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:04.918191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3d22a08-a84e-48b8-9eba-614d865d9592 · outbound

This paper cites HASD: Hierarchical Adaption for pathology Slide-level Domain-shift.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC HASD: Hierarchical Adaption for pathology Slide-level Domain-shift

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:03:59.663079Z

Source-reported events for the cited work

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Observation 2bc812f5-3522-4d2d-8c3e-6459820fc1ab · outbound

This paper cites Residual denoisingdiffusionmodels,in:ProceedingsoftheIEEE/CVFConfer- ence on Computer Vision and Pattern Recognition, pp.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Residual denoisingdiffusionmodels,in:ProceedingsoftheIEEE/CVFConfer- ence on Computer Vision and Pattern Recognition, pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:04.591923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b03b7850-7ee7-487f-824e-74bd37dd71f8 · outbound

This paper cites Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:04.160823Z

Source-reported events for the cited work

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Observation 45c8d515-0076-4510-8d20-7aae37bca58f · outbound

This paper cites Unpairedstaintransferusingpathology-consistentconstrainedgener- ativeadversarialnetworks.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Unpairedstaintransferusingpathology-consistentconstrainedgener- ativeadversarialnetworks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:03.774688Z

Source-reported events for the cited work

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Observation dfb82b89-59a8-4159-b3c2-6aab3ed2f30a · outbound

This paper cites Bci:Breastcan- cerimmunohistochemicalimagegenerationthroughpyramidpix2pix, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Bci:Breastcan- cerimmunohistochemicalimagegenerationthroughpyramidpix2pix, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:03.456648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 953d2ec1-19bf-48ec-b76b-d5ceea3875eb · outbound

This paper cites Compar- ison of consecutive and restained sections for image registration in histopathology.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Compar- ison of consecutive and restained sections for image registration in histopathology

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:03.045816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23ef7577-99f4-4a91-8e03-915c858e3425 · outbound

This paper cites A method for normalizing histology slides for quantitative analysis, in: IEEE ISBI, J.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC A method for normalizing histology slides for quantitative analysis, in: IEEE ISBI, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:02.614578Z

Source-reported events for the cited work

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Observation b3ca4473-df37-41d0-b781-182a862027f8 · outbound

This paper cites Anintro- duction to the performance of immunohistochemistry.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Anintro- duction to the performance of immunohistochemistry

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:02.269694Z

Source-reported events for the cited work

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Observation 8d19d8fd-e404-4d55-969a-82c7a963add6 · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 24

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Source-reported events for the cited work

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Observation c6031166-86e2-497f-8d18-83b582335226 · outbound

This paper cites Color transfer between images.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Color transfer between images

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:01.879687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfedb0b7-e8ca-4e1c-a132-fa05882b8992 · outbound

This paper cites Virtual histological staining of unlabelled tissue-autofluorescence imagesviadeeplearning.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Virtual histological staining of unlabelled tissue-autofluorescence imagesviadeeplearning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:01.493921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c41144c7-5710-43a2-af77-2014144b6459 · outbound

This paper cites Asurveyontraining challenges in generative adversarial networks for biomedical image analysis.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Asurveyontraining challenges in generative adversarial networks for biomedical image analysis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:01.150402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d69609c-a665-4a90-ad15-6441fc421e55 · outbound

This paper cites Palette: Image-to-image diffusion models, in: ACM SIGGRAPH 2022 conference proceedings, pp.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Palette: Image-to-image diffusion models, in: ACM SIGGRAPH 2022 conference proceedings, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.993963Z

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Observation a54c1c56-479c-4925-b75f-d89b3a557156 · outbound

This paper cites Structure- preserving color normalization and sparse stain separation for histo- logical images.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Structure- preserving color normalization and sparse stain separation for histo- logical images

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.838268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4525ceea-9013-4498-97d7-40dab417e6e8 · outbound

This paper cites Image qualityassessment:fromerrorvisibilitytostructuralsimilarity.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Image qualityassessment:fromerrorvisibilitytostructuralsimilarity

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.647261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9549dcfe-69d3-4f45-94a0-0ccd03024ad0 · outbound

This paper cites 13095–13105.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC 13095–13105

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.515591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 407aa4c1-a88b-4a77-a005-c35e5d970e82 · outbound

This paper cites Utilizing hybrid mask and upsampling attention gate for multipleimmunohistochemistryimagecellrecognition.IEEEJournal of Biomedical and Health Informatics.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Utilizing hybrid mask and upsampling attention gate for multipleimmunohistochemistryimagecellrecognition.IEEEJournal of Biomedical and Health Informatics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.367801Z

Source-reported events for the cited work

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Observation 4f097f0c-178b-40e8-a0fe-877a2fad2fbb · outbound

This paper cites Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:03:59.477736Z

Source-reported events for the cited work

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Observation 585a4e24-9a94-4c6c-a2bc-9887aa492f6e · outbound

This paper cites Unpaired image- to-image translation using cycle-consistent adversarial networks, in: ProceedingsoftheIEEEinternationalconferenceoncomputervision, pp.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Unpaired image- to-image translation using cycle-consistent adversarial networks, in: ProceedingsoftheIEEEinternationalconferenceoncomputervision, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:00.243320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9026144a-31e9-41d4-9e70-549ddf3fe4c9 · outbound

This paper cites Journal of pathology informatics 13, 100107.

From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Journal of pathology informatics 13, 100107

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:04:06.939921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation ee4b7b87-4d73-4956-aa3c-d783fe516fbd · inbound

Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment cites this paper.

Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:14.392921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.