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Paper Citation Record · LEDGER

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.17140.

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

pith.paper-citation-record.v1
2506.17140 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:32.447517Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:14.711820Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T15:11:15.080521Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfa18a59-6c72-4e42-945e-f159bc6e9bf5 · outbound

This paper cites Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics

Reference 1

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no resolver link, observed 2026-08-06T23:35:30.417989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:30.417989Z digest=sha256:fd82e85074ccc4dc9ec189271116a30c89fecc06d2bc79ebfd55420a35c7a0ce

Observation d8c10e9a-a10c-45ef-b167-31cc6fa272bd · outbound

This paper cites Advances in Neural Information Processing Systems36(2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Advances in Neural Information Processing Systems36(2024)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.603345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:30.493003Z digest=sha256:e8e4648eb0410215b0af764d3ae2d2e88753aff7fe17175bb4ae851939105d63

Observation 23a156a5-b78a-4bbf-a63b-0eb5ff06da74 · outbound

This paper cites Nature medicine25(8), 1301–1309 (2019).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature medicine25(8), 1301–1309 (2019)

Reference 3

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unresolved
no resolver link, observed 2026-08-06T23:35:30.629641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:30.629641Z digest=sha256:fbb2a900cc63c20f6468677e60e4d81d79dc91eb4b5485687a9761a3c1d1417b

Observation 1e6942b1-0333-4dfa-b206-3c3b3dfe7058 · outbound

This paper cites bioRxiv pp.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification bioRxiv pp

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.577132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:30.739907Z digest=sha256:5c47ab9a9c557c5100a3303a48b59984e59cec4028d474a4154146514d006379

Observation ebcc4e7f-cebd-4dfd-b21c-bc5c4ee0f3a6 · outbound

This paper cites Nature Medicine30(3), 850–862 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature Medicine30(3), 850–862 (2024)

Reference 5

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no resolver link, observed 2026-08-06T23:35:30.817192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:30.817192Z digest=sha256:87fc47813f3dbbe1632c519e8cf55e36d78f704c7598e12006a0a1e140215fbe

Observation 993af560-919f-4908-b56e-a179178e39b5 · outbound

This paper cites Nature medicine25(10), 1519–1525 (2019).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature medicine25(10), 1519–1525 (2019)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.515723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4c8babb8-e832-44b3-adb5-6e6f9b8e7cdb · outbound

This paper cites Medical Image Analysis70, 102004 (2021).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Medical Image Analysis70, 102004 (2021)

Reference 7

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no resolver link, observed 2026-08-06T23:35:31.001642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.001642Z digest=sha256:1d7991a2d368c15eed27078a593301cfe9187908393dc0b1c3ff86d889547bba

Observation ec4541fc-9ba7-40a7-a451-4e7d5b869ecd · outbound

This paper cites European journal of cancer211, 114292 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification European journal of cancer211, 114292 (2024)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.504530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:31.116917Z digest=sha256:98e125384d2f41a6e1b95462b608abf8c75c3b4e3b05802cabb497e44622b4ad

Observation db083bf3-c051-40d8-a4c0-d125dbc20788 · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Advances in neural information processing systems34, 8780–8794 (2021)

Reference 9

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no resolver link, observed 2026-08-06T23:35:31.247097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.247097Z digest=sha256:8b9b54c57773662a496d7e4bc5ed04bb061b0fcc6977333effbe98100acac8cf

Observation 1e1696ef-b427-43f6-97df-a156f2813dd8 · outbound

This paper cites RudolfV: A Foundation Model by Pathologists for Pathologists.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 10

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unresolved
no resolver link, observed 2026-08-06T23:35:31.323225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.323225Z digest=sha256:29ceaec3c531626bd827b5c231bc6f53f3decc457d995e70c19c8dfff6d4ccd7

Observation add04f65-c96e-43f2-bd37-f338046e4f50 · outbound

This paper cites NEJM AI1(11), AIoa2400468 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification NEJM AI1(11), AIoa2400468 (2024)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.474746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:31.437290Z digest=sha256:490bc47efa24e90d55d93e3f4e3d22e151805dc2a38c1da65dec694d62207dba

Observation 177c1ac5-7580-463b-99b6-29dcc6d5a178 · outbound

This paper cites Nature Machine In- telligence2(11), 665–673 (2020).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature Machine In- telligence2(11), 665–673 (2020)

Reference 12

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unresolved
no resolver link, observed 2026-08-06T23:35:31.654834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.654834Z digest=sha256:31b2667eb813fb76448e3db1c49fa5f43779242828e77d3914a7ba8af7a1ff3e

Observation 4767c1d2-5e91-4f4f-8bba-b2e9f89a4869 · outbound

This paper cites Nature communications12(1), 4423 (2021).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature communications12(1), 4423 (2021)

Reference 13

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unresolved
no resolver link, observed 2026-08-06T23:35:31.772214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.772214Z digest=sha256:2c5e39ef350608433a8d4c13d0db4e06030e8cd62b332a3b6549472b9252994f

Observation 5dd7b46e-2972-47da-bdc3-4fbf6299b46a · outbound

This paper cites HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:31.816732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.816732Z digest=sha256:2ef4d038a808e5b3b0c049e366e70554c795b814f36a3caac07602124ad5c91c

Observation aaaeb5db-4c3c-49e5-8baf-d633737a919d · outbound

This paper cites Current Pathology Foundation Models are unrobust to Medical Center Differences.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Current Pathology Foundation Models are unrobust to Medical Center Differences

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:31.944744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.944744Z digest=sha256:73c2e8665c66c61f25bb2af0b742d351057dbba9c001e6d92c476e4c62349086

Observation 10c1066e-a73f-49eb-ba2b-5bc9d6523c4b · outbound

This paper cites Nature Machine Intelligence pp.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature Machine Intelligence pp

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.425279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.015611Z digest=sha256:cf46221ab5a3811e9e2984de018c0850283f98ed7a23f9b4c2270ed902c23862

Observation ce4b2c17-317c-4d05-9edb-a65738e76cb9 · outbound

This paper cites Annual Re- view of Pathology: Mechanisms of Disease19(Volume 19, 2024), 541– 570 (2024), https://www.annualreviews.org/content/journals/10.1146/annurev- pathmechdis-051222-113147.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Annual Re- view of Pathology: Mechanisms of Disease19(Volume 19, 2024), 541– 570 (2024), https://www.annualreviews.org/content/journals/10.1146/annurev- pathmechdis-051222-113147

Reference 17

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malformed identifier
no resolver link, observed 2026-08-06T23:35:32.092018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.092018Z digest=sha256:92ebdf46680075b35cd4475912071940e61b90198b91dcc50bb0d1648f466164

Observation ec98315b-baee-402a-9fef-9969d2ee32ae · outbound

This paper cites Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 18

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unresolved
no resolver link, observed 2026-08-06T23:35:32.189287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.189287Z digest=sha256:c8128a57f586a91f01c2a38fcd31de88e4a4b0fb7a6d70536eb33c61b5fed298

Observation bf75af3c-b61d-4838-a4b3-b1d3bd7ca579 · outbound

This paper cites Cell Reports38(9), 110424 (2022).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Cell Reports38(9), 110424 (2022)

Reference 19

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:35:32.713619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.291877Z digest=sha256:ae62f9823be0b80e62153b938585b6ef0521307689453d27fd34d8b1c094c694

Observation 90311db0-0e27-441c-abd3-a260d22bd932 · outbound

This paper cites Nature Medicine pp.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature Medicine pp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.406438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.329449Z digest=sha256:7205613d82fb4ce731b19b83f307db9892e73a95d8696b38ec74abde3aebb4d6

Observation 3f77ce6a-67f5-4ab7-9da9-6808a1b28466 · outbound

This paper cites Nature communications10(1), 1096 (2019).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature communications10(1), 1096 (2019)

Reference 21

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unresolved
no resolver link, observed 2026-08-06T23:35:32.381225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.381225Z digest=sha256:46d68a6c62503a5c1c69117c5cc9dc513f3b04eac93cde51c68c33617a21616e

Observation dd8e3700-1635-49dc-aa28-6a544376f023 · outbound

This paper cites In: 2009 IEEE international symposium on biomedical imaging: from nano to macro.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification In: 2009 IEEE international symposium on biomedical imaging: from nano to macro

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.423989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.423989Z digest=sha256:ef475c441521174e841e0eaf3e80ddfa2c2e33ad02be23038c3f2f850e9a8269

Observation 3b99609c-0b05-41f6-b146-2fd36d4a1b0d · outbound

This paper cites Computers in Biology and Medicine175, 108410 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Computers in Biology and Medicine175, 108410 (2024)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.385107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.427698Z digest=sha256:5f5a9f33bf94b61a429ba8bae111990ff64180e6bc6f9c89a1e284e0e05ba00a

Observation 020cebfd-09b6-4c37-933b-f0ec3ad00240 · outbound

This paper cites Diagnostics14(13), 1442 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Diagnostics14(13), 1442 (2024)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.367097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.432664Z digest=sha256:a33b114a0a11d8ed5a210eb27246edf6fb20025f053185691f7b40665a074650

Observation 6a910d7f-7b9f-446a-9c02-25f92b43ec2f · outbound

This paper cites IEEE Computer graphics and applications21(5), 34–41 (2001).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification IEEE Computer graphics and applications21(5), 34–41 (2001)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.440437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.440437Z digest=sha256:490ffe537d760be8f8437cc6617d2067d766f910bf563e3e0cf4364f5f9e8217

Observation 94308929-edca-44d5-ad40-16029bc50d3c · outbound

This paper cites Nature Medicine30(4), 1174– 1190 (2024).

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Nature Medicine30(4), 1174– 1190 (2024)

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.443131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.443131Z digest=sha256:e2de63fee4f7b3f4b9924a0578882db10f5323bef00e106f247a8ee59628f773

Observation 89d428a3-a29f-4248-af78-142b11f9969d · outbound

This paper cites Na- ture medicine pp.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Na- ture medicine pp

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:33.218558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:32.447517Z digest=sha256:a38e76ff5d382983125e0ee48a74b257e73007056fe3582816f1b9f07a9a02c9

Pith citing papers

Observation 33e1c1a5-a628-4cd5-aaa5-da023d215317 · inbound

Towards Robust Foundation Models for Digital Pathology cites this paper.

Towards Robust Foundation Models for Digital Pathology MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:11:15.083334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:11:14.711820Z digest=sha256:795fa34a86fce1b98e3e6dbc8d9648bb688e076c69921cca7795a7c87bf8a751