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Paper Citation Record · LEDGER

Improving text-conditioned latent diffusion for cancer pathology

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.456062Z digest=sha256:2fc721041cdbd1fbd47714abb456e9cb4d2ecc1dafc3ae905b6b81b4933ed2ae

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.471145Z digest=sha256:7c1d37cae7c94878a65c624815bda677da81c0beb2c0b80a6d110fc8c07dd587

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:38:37.499809Z digest=sha256:39c82bc3afbaf874893573df502c3115dc3c3966939a3cee6919f423ab932403

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.526178Z digest=sha256:ac16931b1467a20b59343ecd828d73729a9cffa1aa74ea7ed00abf2186b91cda

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.529490Z digest=sha256:b9599cfbbee5b941b36aa76980fb15031c32ea1ae808016d8f546537bd5eaa84

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.535989Z digest=sha256:6861ce85af68a2d3eb620927bf856581a846eb41929e9344995698efc770a405

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.539015Z digest=sha256:f048bda8685cad09e2cda099fa6911ea7ae31948a0131dfa7508fee71c397ea4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.542298Z digest=sha256:c5eeeb92a2ad791ab932d6a79fd86ca10667546406c3a256fbc0564baa8398f1

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.

source=arxiv_source observed=2026-08-11T19:38:37.545905Z digest=sha256:0ac769274d9900bcad061f82f050426c6d92c312cc6d49dec06dc9dd78114104

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.548852Z digest=sha256:5c83f8a530cc0d79e0b92e5a72844d59691540aad775b4bd3adbaddd8dff6952

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.

source=arxiv_source observed=2026-08-11T19:38:37.551879Z digest=sha256:0dd4d71fd455c31d3ab279dcd1122658fbdd1a3da11dcbf6d2bba41cda24525b

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.558847Z digest=sha256:24807a736dca5a24d6eb9b24eb5571ce20b2e4120d94c3df25cde7087f098f7e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.561942Z digest=sha256:96d513523ede9714f10bfc8198ce95911afe5ec83fd7097234661581092a5258

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.564887Z digest=sha256:85f4ba285bda18d610397f5cee78e8a82f4d68295ae14386284b107574cb626e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.568034Z digest=sha256:7c75fbaf6cf08da7ceb714b0b5980de540056ceb6fdb393515bd0d8ff76b91e6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.570931Z digest=sha256:4869c08c852cec30ab8a7297d20c1df1be8b7ebc02251a7fa6f59a82271cdde7

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.573870Z digest=sha256:12e5f399366c67a2ca7584eae3960f4505deb34502c591b44f717914f5211d3e

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.

source=arxiv_source observed=2026-08-11T19:38:37.576976Z digest=sha256:327af30e3b8346ae036f232c2302372974b4752039d0ad7e44d18cb870d1ab8e

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.584359Z digest=sha256:7fe1f5c8136f49e1b91648757c6fc5a68432f7dcc32ebe3e57c4c3d5f0b65ede

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.

source=arxiv_source observed=2026-08-11T19:38:37.587572Z digest=sha256:072e65629e3ac77cfd7072bf340d6276fd8051369f3897e0b44a61143c27f94d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.590818Z digest=sha256:3fcd8678163f7fe02d315fd9a0ed650500a2c1c1ccaaffb9536b03bd2347b13f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.593997Z digest=sha256:e36246a36deb5aa39f73ed4c2b128707d6516e00505b36bb001686d8e7aeaab3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T19:38:37.597256Z digest=sha256:f337b530d44ed68c3c44dcf7b7083b23aeeaf7a73ea475886e16e1ca839c7054

Pith citing papers

No inbound Pith citation observations are available.