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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation 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 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T22:58:23.499133Z

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.348007Z digest=sha256:e4e08de159189c6a873eea3a2fe1174c0efb494a33c6b879a26e790b779dcc91

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.353424Z digest=sha256:d57b308daeddf5be2b173a6599b5e0f617ef32061f41fef262b911ea053ed3c0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.358584Z digest=sha256:778f25e34d58008576fc40c7589b4ddf81c096f99a7e0d4cf2c587de0dde8257

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.363872Z digest=sha256:12db3730051b5fe0aab1c944c8fc4f30171aef663be7ae8e1e050e591f906738

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.369120Z digest=sha256:4831f12074e52f69b0d0c08fe93f3e6298743f21fa44e089604ca0f41f592a2b

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.373788Z digest=sha256:40ffc461204695265593ba3798eb055f5ad695278628e6502fc08ae29bf9b621

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.379699Z digest=sha256:f2b76c343060f9f0ba57e7125d6145532c7283cf831a99671564a18c2cc1856c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.385239Z digest=sha256:140e94862ee195e8f2e05c1d2ff6c5b31531e6c385e1753054bf89fb98fc4203

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.390170Z digest=sha256:e495ba173abe2054479f93e5969cf4378e6dc4d1ff3da8bba21cb45cde3c01d9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.395073Z digest=sha256:4ce626e8534d300e4d49171e02e7ae41624075a67647cd27c50d666b8b955808

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.400003Z digest=sha256:6acc3bd3e91c59b42eea84b0e39b31c85c3ed4898fff81916a6802300a584c51

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.404492Z digest=sha256:8cf4b2075618c96d73c08e0085c4c218617e4371f7d648b483f2d1a750c5f48f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.409470Z digest=sha256:c1b18410fa306cf4cd21121892b0c1b3ba1c54735844d7fb5fcedb16f8097bc9

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.

source=pdf_text observed=2026-08-06T21:23:10.414975Z digest=sha256:c184d666e12e5b48cdf6027cfbfd3810843302decdc728a2078288f6f1106b8e

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.

source=pdf_text observed=2026-08-06T21:23:10.419594Z digest=sha256:88ae1bc08aa27ba5f1cf6da43203992b4de5e71c3ea8491f5031234263bb7654

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.424290Z digest=sha256:aef9c8be5563fa2eae83585041ac37951607ddc89d062c87ebbd4e33feefe757

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.428858Z digest=sha256:085fcdcb494d310b7c0a72cdf3bbdd553a5b31af9b6afdd5ae85df6173798dae

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.433729Z digest=sha256:b8f275f3edeb187f0613ba6745c727969e9b22a7d5a750c7bb9be72fe96080eb

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.438354Z digest=sha256:70875477c652515000167b60ff91a4e47cd02802e9fe03caf4cbbcd85c9e236d

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.442803Z digest=sha256:907845548b61d84a0869acdb2ce6ef82bf4433e7888af39b590d2446a56e6520

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.447620Z digest=sha256:6eb8e42f34b7831184f9fae2361f0df268a237414d60392402dafd06c861d401

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.452565Z digest=sha256:a92a4b0546afaebd1c5b2bdf4656226312aee78b93f67481656ddd14f803b17f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.457879Z digest=sha256:ef34426f26a0d8531055b5ecf8a390a368d2bd7aa0494160fa9fbe72dea4c46d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.462216Z digest=sha256:dd53d8441edfbb12fe2ee91a5f020e8edd7eb609905eb1cb136016d1347bb0f8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.466760Z digest=sha256:c68e9f5d6b08738dbe21e0c11dd25c22402c312ccdf7e78b95791815192218ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.471603Z digest=sha256:de3189e9a861ccf5a6fb83567ab6aeb75fcc448ecff71162fd9fac83b8f6f28d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:23:10.475822Z digest=sha256:2bd9cf7d5fdc0d5fc1ff2dd85494f9002ae9122acdd19b8cd53b3a3a7b41dfa5

Pith citing papers

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T22:58:23.499133Z digest=sha256:b19ce620c8a494264829ee3aa4cf9045aec1ece73c4a79936073d1f2c51cbd1a