Paper Citation Record · LEDGER

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.17535.

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

pith.paper-citation-record.v1
2411.17535 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:03:58.115265Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

36 of 36 outbound references displayed

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verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b9279f2-4af5-4f65-8944-6df16be922e0 · outbound

This paper cites What does dall-e 2 know about radiology? Journal of Medical Internet Research, 25:e43110, 2023.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework What does dall-e 2 know about radiology? Journal of Medical Internet Research, 25:e43110, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.504637Z

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Observation defab66f-e91c-44b4-9912-c50c47d76c50 · outbound

This paper cites Spot the fake lungs: Generating synthetic medical images using neural dif- fusion models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Spot the fake lungs: Generating synthetic medical images using neural dif- fusion models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.491430Z

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Observation 752e6382-d0f9-49cf-9cb9-65a150e1a250 · outbound

This paper cites Protodiffusion: classifier-free diffusion guid- ance with prototype learning.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Protodiffusion: classifier-free diffusion guid- ance with prototype learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.480314Z

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Observation 5002eaf3-2941-415f-9ed8-3094976fd2ee · outbound

This paper cites Retrieval-augmented diffusion models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Retrieval-augmented diffusion models

Reference 4

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Observation 3ce739da-29b1-44f3-ba8b-99b50deca00c · outbound

This paper cites A survey on active learning and human-in-the-loop deep learn- ing for medical image analysis.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework A survey on active learning and human-in-the-loop deep learn- ing for medical image analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.463148Z

Source-reported events for the cited work

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Observation 28ef53a8-d3f7-4522-856c-bd59f96efbee · outbound

This paper cites Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains

Reference 6

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Observation 2fdd8b4b-008d-490b-ba08-d36d5d596c90 · outbound

This paper cites Synthetic data in machine learning for medicine and healthcare.Nature Biomedical En- gineering, 5(6):493–497, 2021.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Synthetic data in machine learning for medicine and healthcare.Nature Biomedical En- gineering, 5(6):493–497, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.451185Z

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Observation 75d19144-d42e-4ccb-9d29-f2c98d5224db · outbound

This paper cites Diffusion models beat gans on image synthesis.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Diffusion models beat gans on image synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.007631Z

Source-reported events for the cited work

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Observation 648f2716-e4e7-4935-86d4-a30be25079ab · outbound

This paper cites Protodiff: learning to learn prototypical networks by task- guided diffusion.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Protodiff: learning to learn prototypical networks by task- guided diffusion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.430069Z

Source-reported events for the cited work

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Observation 20671cdf-0e67-4c91-87bb-ba8d698232c9 · outbound

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

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Taming transformers for high-resolution image synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.015166Z

Source-reported events for the cited work

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Observation f35d00d7-c448-4c48-aee7-087aae2b7399 · outbound

This paper cites Deepncm: Deep nearest class mean classifiers.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Deepncm: Deep nearest class mean classifiers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.409237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16f3db65-0ab7-409b-baf1-6b4f1fabeddb · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.022448Z

Source-reported events for the cited work

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Observation f32d6fa1-5e5e-45e7-bdde-ee565f84db2c · outbound

This paper cites Denoising dif- fusion probabilistic models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Denoising dif- fusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.026296Z

Source-reported events for the cited work

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Observation 22f266b3-9479-422d-8acd-788449bd354b · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Cascaded diffu- sion models for high fidelity image generation

Reference 14

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Source-reported events for the cited work

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Observation 38eedf33-37c7-4b91-a3fd-c1b821e62bf8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Classifier-Free Diffusion Guidance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.033018Z

Source-reported events for the cited work

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Observation 5210d1f2-2aa2-466b-bfa4-8c439adaf0af · outbound

This paper cites Variational prototyping-encoder: One-shot learning with prototypical images.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Variational prototyping-encoder: One-shot learning with prototypical images

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.375555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4cc72b5-0fcf-4a1b-8fb8-70674d3926be · outbound

This paper cites An expert-annotated dataset of bone marrow cytology in hematologic malignan- cies, 2021.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework An expert-annotated dataset of bone marrow cytology in hematologic malignan- cies, 2021

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.361204Z

Source-reported events for the cited work

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Observation 4618d8ef-bf82-40d4-bc80-26d015ede87c · outbound

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

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework A multimodal comparison of latent denois- ing diffusion probabilistic models and generative adversarial networks for medical image synthesis

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d692479-15e4-479c-8a71-d6b4c180471c · outbound

This paper cites Generation of anonymous chest radiographs using la- tent diffusion models for training thoracic abnormality clas- sification systems.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Generation of anonymous chest radiographs using la- tent diffusion models for training thoracic abnormality clas- sification systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.333452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 579d5202-26ac-4b3a-9b62-cc6e16118e1a · outbound

This paper cites Brain imaging generation with latent diffusion models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Brain imaging generation with latent diffusion models

Reference 20

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Source-reported events for the cited work

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Observation c540eb2d-13cb-4a65-9590-7784b19b40fb · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Learning transferable visual models from natural language supervi- sion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.055092Z

Source-reported events for the cited work

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Observation 2c460d48-727d-4de8-aeb1-b9b99417e522 · outbound

This paper cites Deep learning for medical image processing: Overview, challenges and the future.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Deep learning for medical image processing: Overview, challenges and the future

Reference 22

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Observation 03c8363e-799e-40d5-b9eb-0666ea40f64f · outbound

This paper cites Assessing generative models via precision and recall.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Assessing generative models via precision and recall

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.297659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78689e67-5969-497d-a79e-1c7b195e475d · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Progressive Distillation for Fast Sampling of Diffusion Models

Reference 24

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Observation e5d6ef61-4acf-4a88-a22a-b09005638806 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.069103Z

Source-reported events for the cited work

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Observation d00cd1fa-593c-4acf-b1ae-d76cfc7562c0 · outbound

This paper cites P-odn: Prototype-based open deep net- work for open set recognition.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework P-odn: Prototype-based open deep net- work for open set recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.279648Z

Source-reported events for the cited work

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Observation 412f2d34-71e9-45fd-bc8a-48c48a86ab22 · outbound

This paper cites Prototypical networks for few-shot learning.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Prototypical networks for few-shot learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.076636Z

Source-reported events for the cited work

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Observation 66741e9b-4017-44ea-8593-5df7eb8e4a8d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Deep unsupervised learning using nonequilibrium thermodynamics

Reference 28

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Observation 3d3f48f4-f0b3-478e-9d0c-6105111e6f7e · outbound

This paper cites Denoising Diffusion Implicit Models.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Denoising Diffusion Implicit Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.086953Z

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Observation 670baaa5-2f6c-458b-a2f3-b98b3ea5a033 · outbound

This paper cites Aligning synthetic medical images with clinical knowledge using human feedback.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Aligning synthetic medical images with clinical knowledge using human feedback

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.251839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a47f2fa0-38de-4655-963c-3acaf64a7745 · outbound

This paper cites The HAM10000 dataset, a large collec- tion of multi-source dermatoscopic images of common pig- mented skin lesions, 2018.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework The HAM10000 dataset, a large collec- tion of multi-source dermatoscopic images of common pig- mented skin lesions, 2018

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.240475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1442ca0-1ebf-4e9b-ae56-c3a710678482 · outbound

This paper cites The evolution of video quality measurement: From psnr to hybrid metrics.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework The evolution of video quality measurement: From psnr to hybrid metrics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.229215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4dd15304-b5f9-4b4e-a096-149fe419b499 · outbound

This paper cites Medical long-tailed learning for imbalanced data: bibliometric analy- sis.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Medical long-tailed learning for imbalanced data: bibliometric analy- sis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.218389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b79d770c-da27-40b2-a4b7-da0d1d329c9b · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Unsupervised feature learning via non-parametric instance discrimination

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.107104Z

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Observation 5bc3c31d-8f0c-4d1c-aa64-2cf6cfb291f7 · outbound

This paper cites Robust classification with convolutional proto- type learning.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Robust classification with convolutional proto- type learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T12:03:58.110810Z

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Observation bfb40a15-a553-44d8-affd-5aa9bc340ffa · outbound

This paper cites Rethinking semantic segmentation: A proto- type view.

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework Rethinking semantic segmentation: A proto- type view

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:03:58.193712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.