Paper Citation Record · LEDGER

Improving text-conditioned latent diffusion for cancer pathology

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.06487.

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

pith.paper-citation-record.v1
2412.06487 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:38:37.597256Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

26 of 26 outbound references displayed

verified exact3
verified fuzzy16
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0427e07-310e-4f36-a9d0-1feb7a80931e · outbound

This paper cites Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer.

Improving text-conditioned latent diffusion for cancer pathology Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T19:38:37.956998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebf4d078-42d7-4512-8a15-407efd8608db · outbound

This paper cites A review of medical image data augmentation techniques for deep learning applications.

Improving text-conditioned latent diffusion for cancer pathology A review of medical image data augmentation techniques for deep learning applications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.213234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34b458d4-8244-40ce-ac27-94a8a2dd3b35 · outbound

This paper cites Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis.

Improving text-conditioned latent diffusion for cancer pathology Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:37.499809Z

Source-reported events for the cited work

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Observation 5a01b038-cadb-43ad-a480-4f59e67994ff · outbound

This paper cites Dolezal, Rachelle Wolk, Hanna M.

Improving text-conditioned latent diffusion for cancer pathology Dolezal, Rachelle Wolk, Hanna M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.202674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ec77298-ea78-4996-b3b8-2bbde40ba979 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Improving text-conditioned latent diffusion for cancer pathology Taming transformers for high-resolution image synthesis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.193301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b793545-6fd0-4248-bc3e-e345b09fb0aa · outbound

This paper cites McCarthy, Rafael E.

Improving text-conditioned latent diffusion for cancer pathology McCarthy, Rafael E

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.183931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 472d5301-be3d-4436-893f-8141daa22d66 · outbound

This paper cites an unresolved cited work.

Improving text-conditioned latent diffusion for cancer pathology Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:38:38.174546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3419f5c7-e73e-4e3f-bb6c-896ebe1d55ae · outbound

This paper cites Medical image data augmentation: techniques, comparisons and interpretations.

Improving text-conditioned latent diffusion for cancer pathology Medical image data augmentation: techniques, comparisons and interpretations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.165113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cba7606f-7997-4c45-9125-60c9c6880175 · outbound

This paper cites Unsupervised Histopathology Image Synthesis.

Improving text-conditioned latent diffusion for cancer pathology Unsupervised Histopathology Image Synthesis

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:38:37.858909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 106b923f-42e8-4f40-a264-0aa04e11c6b7 · outbound

This paper cites Tcga-reports: A machine-readable pathology report resource for benchmarking text-based ai models.

Improving text-conditioned latent diffusion for cancer pathology Tcga-reports: A machine-readable pathology report resource for benchmarking text-based ai models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:37.545905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d83cc9b-041e-4676-8cfb-1105a1318a39 · outbound

This paper cites Synthetic data improve survival status prediction models in early-onset colorectal cancer.

Improving text-conditioned latent diffusion for cancer pathology Synthetic data improve survival status prediction models in early-onset colorectal cancer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.146937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f09d8634-4afa-4521-8574-39ef655be9c2 · outbound

This paper cites Auto-Encoding Variational Bayes.

Improving text-conditioned latent diffusion for cancer pathology Auto-Encoding Variational Bayes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:37.551879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c071afe-4cab-4d9d-93b9-848c2e447e71 · outbound

This paper cites Moffitt, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L.

Improving text-conditioned latent diffusion for cancer pathology Moffitt, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T19:38:38.103837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7c9b671-c81e-4fae-98f4-0b6383f346b7 · outbound

This paper cites Speier, and Corey W.

Improving text-conditioned latent diffusion for cancer pathology Speier, and Corey W

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.070160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 039ba084-8854-46d8-b82d-c01b8acf99e0 · outbound

This paper cites Lennerz, Stephen S.

Improving text-conditioned latent diffusion for cancer pathology Lennerz, Stephen S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.041288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2367fe7c-d9be-41c8-9f2c-9fd1323cc3d4 · outbound

This paper cites A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis.

Improving text-conditioned latent diffusion for cancer pathology A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.028130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9ea6e45-c1a4-4f71-8541-c8a16fb8e798 · outbound

This paper cites Gondim, Michael Hogarth, and Richard Levenson.

Improving text-conditioned latent diffusion for cancer pathology Gondim, Michael Hogarth, and Richard Levenson

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.018739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16097fef-7f34-496c-8b28-33d51b651138 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj \""o rn Ommer.

Improving text-conditioned latent diffusion for cancer pathology Blattmann, Dominik Lorenz, Patrick Esser, and Bj \""o rn Ommer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.009936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a12534e1-ffd9-4a15-a8e1-0d6d88e617dc · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj \""o rn Ommer.

Improving text-conditioned latent diffusion for cancer pathology Blattmann, Dominik Lorenz, Patrick Esser, and Bj \""o rn Ommer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:38.001334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1684e9b-7aeb-490f-a704-1bf3d9f62425 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Improving text-conditioned latent diffusion for cancer pathology U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:37.576976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a58958a-a90b-4ecc-8728-5a725b87ac36 · outbound

This paper cites Bernstein, Alexander C.

Improving text-conditioned latent diffusion for cancer pathology Bernstein, Alexander C

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:37.992057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 585aa32c-3823-4202-a96c-8f68591fea20 · outbound

This paper cites Thomas Fletcher.

Improving text-conditioned latent diffusion for cancer pathology Thomas Fletcher

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:37.983625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 830c2f3f-ae5d-4fe9-a27f-4071f0cf3194 · outbound

This paper cites Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later.

Improving text-conditioned latent diffusion for cancer pathology Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:37.587572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 932ef52e-b8fa-4df1-856d-8432fc68a515 · outbound

This paper cites A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis.

Improving text-conditioned latent diffusion for cancer pathology A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:38:37.636215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61af1f00-a36a-4173-9efd-efa9c6e3435f · outbound

This paper cites Kurç, Joel H.

Improving text-conditioned latent diffusion for cancer pathology Kurç, Joel H

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:37.974914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87ca4fa5-b4bc-4d41-83ce-a686c73de9df · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Improving text-conditioned latent diffusion for cancer pathology Efros, Eli Shechtman, and Oliver Wang

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:37.965897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.