Paper Citation Record · LEDGER

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2507.00377.

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

pith.paper-citation-record.v1
2507.00377 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:10.475822Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:08:06.867925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:58:38.508364Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy13
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7570ef89-c7f1-4e93-870c-73e73974deac · outbound

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

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis U-Net: Convolutional Net- works for Biomedical Image Segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.889217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9daeeb5b-a123-431a-a24c-d10037eb94ce · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.875603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac8cba18-4cb3-4da0-9dea-7446f89ccae6 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis An Introduction to Convolutional Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.358584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf902fb-e8e3-4150-8919-8cdd580f15b8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.862140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 18ecaba9-9710-4cd9-a47b-7495c97c74eb · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Swin transformer: Hierarchical vision transformer using shifted windows

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.847851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65e7ea89-02b5-4637-85b3-5b76fece99c5 · outbound

This paper cites Deep residual learning for image recognition.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Deep residual learning for image recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.833734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89774943-5154-4bb7-a4ef-1f14899709e1 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Denoising Diffusion Probabilistic Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.379699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89da1cb-6c8b-4cec-9b62-b5b5cf6c4d67 · outbound

This paper cites Denoising Diffusion Implicit Models.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Denoising Diffusion Implicit Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.385239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9b48d79-5b92-41be-983c-ddae903bafd8 · outbound

This paper cites an unresolved cited work.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:23:10.819938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06d97065-24a4-4a34-8b20-072f239694b0 · outbound

This paper cites RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.395073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5145a1-45ee-4c42-b9a8-5d30d1d3c5aa · outbound

This paper cites an unresolved cited work.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:23:10.806239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7608accf-1952-4b4b-ab0b-34c0de39c584 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.404492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c10540e2-5856-4eb8-92f6-f0df403a369d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.409470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87814586-c303-45ac-ac0d-8f1fa53a042a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis DINOv2: Learning Robust Visual Features without Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.414975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56e91912-4ec6-40d3-9b0c-feeca04108d0 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.419594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da502dc0-f83f-480c-b57b-d5c6469e75da · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis High-Resolution Image Synthesis With Latent Diffusion Models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.792305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3710403-1844-4c9c-b43f-b3466f129d36 · outbound

This paper cites an unresolved cited work.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:23:10.777503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5bfd33f-5b65-4a6d-a875-a362db7d88d6 · outbound

This paper cites BUSIS: a benchmark for breast ultrasound image segmentation.In Healthcare, MDPI, 729(2022).

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis BUSIS: a benchmark for breast ultrasound image segmentation.In Healthcare, MDPI, 729(2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.763096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd0b1435-d4c5-4366-a726-1c5910ec7d0c · outbound

This paper cites PH 2-A dermoscopic image database for research and benchmarking.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis PH 2-A dermoscopic image database for research and benchmarking

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.749481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3783db33-f374-4040-8d92-c9ceea66bd64 · outbound

This paper cites an unresolved cited work.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:23:10.734631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbf0041c-1183-4d92-b595-d4c81cc4ea9b · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.447620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c994dd0-8280-42c3-a8c3-714a0d32acff · outbound

This paper cites Unified per- ceptual parsing for scene understanding.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Unified per- ceptual parsing for scene understanding

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.718933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4e5b8168-b2ad-435c-b40e-30865b324723 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image seg- mentation.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Encoder-decoder with atrous separable convolution for semantic image seg- mentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.704315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42730d6c-2edd-4ee1-8763-68e2f70210ac · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.689350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 926fa96c-a85f-4f6e-8050-5c25b2d163ed · outbound

This paper cites From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.466760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143d55da-9570-4f7a-86e7-3eb8f51ca6ab · outbound

This paper cites Non-IID Medical Image Segmentation Based on Cascaded Diffusion Model for Diverse Multi- Center Scenarios.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Non-IID Medical Image Segmentation Based on Cascaded Diffusion Model for Diverse Multi- Center Scenarios

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.675159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3907d8b-6878-454a-be92-2ac2c966a3a1 · outbound

This paper cites Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image Segmenta- tion.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image Segmenta- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:10.660098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation cf73cfea-8f54-47b4-a20e-adc12a961dbd · inbound

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation cites this paper.

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:06.867925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c24e347-2609-4f6e-bbc9-5b04f858463c · inbound

Guided Transfer Learning for Discrete Diffusion Models cites this paper.

Guided Transfer Learning for Discrete Diffusion Models MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:58:38.511002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.