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Paper Citation Record · LEDGER

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.17311.

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

pith.paper-citation-record.v1
2505.17311 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:21.499252Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

31 of 31 outbound references displayed

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  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 393b049d-f8b8-49e3-8c41-a9b5031b503b · outbound

This paper cites In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Re- vised Selected Papers, Part III 14.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Re- vised Selected Papers, Part III 14

Reference 1

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Observation 337d73fb-664c-4568-b9d9-ca93caa69dbf · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation a7cb9985-b4cf-4428-a662-81b51342d6b3 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6b5b8967-738c-41c1-9a66-82f03367b905 · outbound

This paper cites In: International conference on pattern recognition.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International conference on pattern recognition

Reference 4

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Observation c47d7516-15bc-4fd5-8db3-4723e8f4c8c0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

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Observation 949cf3fe-02c4-4468-a42b-051e394e7d1d · outbound

This paper cites Meta-Radiology p.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Meta-Radiology p

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f56ef5a4-cbac-4d03-a2cf-ebf0988b9559 · outbound

This paper cites Neurocomputing414, 346– 355 (2020).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Neurocomputing414, 346– 355 (2020)

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation de64d8d4-40c5-450b-ac1f-fa15d63463c2 · outbound

This paper cites Advances in Neural Information Processing Systems34, 18932–18943 (2021).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Advances in Neural Information Processing Systems34, 18932–18943 (2021)

Reference 8

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Observation 79f79acb-7f4b-4a4c-9768-05a77e520473 · outbound

This paper cites In: International conference on medical image computing and computer- assisted intervention.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International conference on medical image computing and computer- assisted intervention

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 69b9770b-1e15-474e-826f-9a548fac62f8 · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 10

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Observation b6a33d06-b274-44e0-b95d-bd5da5cb5209 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dff6ca1d-e778-454a-ab28-ef2346ec46c0 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Advances in neural information processing systems33, 6840–6851 (2020)

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 81637cbd-cf7d-4494-9a64-8a3795907cd5 · outbound

This paper cites In: International Workshop on Machine Learning in Medical Imaging.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International Workshop on Machine Learning in Medical Imaging

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7c4656fc-0f59-439d-854d-4212ef6bef83 · outbound

This paper cites dataset with uncertainty labels and expert comparison.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays dataset with uncertainty labels and expert comparison

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aa034320-3b02-4d2f-9e29-26eff7939e58 · outbound

This paper cites physionet (2024).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays physionet (2024)

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 92fe62dd-7fbb-4b77-8fff-314391bea498 · outbound

This paper cites an unresolved cited work.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3bc8e2ed-26f9-4340-a504-73e9ad659598 · outbound

This paper cites PhysioNet.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays PhysioNet

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0714478e-a3f3-40c9-9382-fa226ad12472 · outbound

This paper cites IEEE Access10, 78446–78454 (2022).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays IEEE Access10, 78446–78454 (2022)

Reference 18

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Observation 40809d92-7e43-4b5d-97bb-8aa630b26e75 · outbound

This paper cites MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs

Reference 19

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Observation 28d1f063-559c-4551-8de1-f07267c3b7bd · outbound

This paper cites Anomaly Detection with Conditioned Denoising Diffusion Models.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Anomaly Detection with Conditioned Denoising Diffusion Models

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 7497bf5a-2aad-4c33-a723-7ecd7af3dc8c · outbound

This paper cites Diagnostics15(3), 282 (2025).

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Diagnostics15(3), 282 (2025)

Reference 21

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Observation a46cd2a6-39db-4903-af9c-8a8aa7a72cd8 · outbound

This paper cites In: Proceedings of the 29th annual conference on Com- puter graphics and interactive techniques.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the 29th annual conference on Com- puter graphics and interactive techniques

Reference 22

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Observation 92194bc6-1d4a-4d18-a20e-497220b30440 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

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Observation 5c175b3a-63b8-4639-b247-20c43b811a79 · outbound

This paper cites an unresolved cited work.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 82013983-253b-4a84-9032-359eb738995b · outbound

This paper cites In: International conference on information processing in medical imag- ing.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International conference on information processing in medical imag- ing

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9e734ab2-29a7-4d4d-806e-e9678519b893 · outbound

This paper cites Denoising Diffusion Implicit Models.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays Denoising Diffusion Implicit Models

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 6a321f90-4228-4baf-bc1c-5c7d941d5132 · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: International Conference on Medical image computing and computer-assisted intervention

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T14:52:22.578092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a21377fd-0570-4199-aab2-130c795dbf2e · outbound

This paper cites In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:22.322491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0cea3bb8-7135-46e3-aa8b-b4df83d27aac · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the AAAI conference on artificial intelligence

Reference 29

Resolution
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raw_fallback, observed 2026-08-07T14:52:22.057654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 896017a7-c1fa-42aa-a59a-ad1f9d28381a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:52:21.800527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 30e552de-1f67-4b32-8b99-80ca64502964 · outbound

This paper cites RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.