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Paper Citation Record · LEDGER

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.12698.

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

pith.paper-citation-record.v1
2507.12698 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:46:10.036706Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e557403e-f7f5-4d60-ac07-9acf54a5466d · outbound

This paper cites CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN

Reference 1

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no resolver link, observed 2026-08-06T16:46:07.601033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:07.601033Z digest=sha256:3a29541a7a378cd7a1f2956e034bd196c2a711718697d664404721db10d6e251

Observation 30dbb09b-9b56-4dfb-84e3-d8dc73a2e259 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 2

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no resolver link, observed 2026-08-06T16:46:07.699642Z

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Unavailable: canonical work link unavailable.

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Observation 38dd1384-6c6a-4051-a121-5c3dcb1030e5 · outbound

This paper cites Enhancing mr image segmentation with realistic adversarial data augmentation.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Enhancing mr image segmentation with realistic adversarial data augmentation

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bac8089b-b9e6-495b-8f8e-90eed8c40a44 · outbound

This paper cites A review of medical image data augmentation techniques for deep learning applications.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images A review of medical image data augmentation techniques for deep learning applications

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:08.026694Z digest=sha256:8863af9aa0552d62030246e1461910e127b707aa031093460ae458474e21b18b

Observation 61d13de7-0266-4e60-8ea1-97f8889102ec · outbound

This paper cites Torchxrayvision: A library of chest x-ray datasets and models.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Torchxrayvision: A library of chest x-ray datasets and models

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0db6ae20-0977-42d3-af4e-a2e420241f01 · outbound

This paper cites Demofusion: Democratising high-resolution image generation with no \ \ \.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Demofusion: Democratising high-resolution image generation with no \ \ \

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 88b1a0c8-d491-4abb-a917-116f4122d90f · outbound

This paper cites DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:08.658507Z digest=sha256:9a69ec135f503ed4c68f4f1891a48c7c594defc64a4352dc43e1b02da1111fbb

Observation 04bf7b65-4fbe-4f38-8d16-2ff2ad84d135 · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 8

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no resolver link, observed 2026-08-06T16:46:08.794326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:08.794326Z digest=sha256:026270d0d4599163dbe553665f5566eeb48ba552b43939e1ef561948921e07d3

Observation 114b1b17-86e0-46fd-9b91-16525c4086da · outbound

This paper cites Efficient diffusion training via min-snr weighting strategy.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Efficient diffusion training via min-snr weighting strategy

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a55beb52-9f4c-4a4d-9f50-5664c07e80c2 · outbound

This paper cites Effect of image resolution on automated classification of chest x-rays.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Effect of image resolution on automated classification of chest x-rays

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7d2dfb38-a46f-46c5-a6f8-6fb706817061 · outbound

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

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 11

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no resolver link, observed 2026-08-06T16:46:08.986279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dbb79b68-d5a9-4a65-a0dd-85e34f44a77e · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Lora: Low-rank adaptation of large language models

Reference 12

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unresolved
no resolver link, observed 2026-08-06T16:46:09.036751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:09.036751Z digest=sha256:6f203dfa55c5e9d3658be9ff5dd98a6013e8ec7ef4fe74a17ec62f60c1388ada

Observation d8427a20-65ff-4f1a-baab-ad50463d5463 · outbound

This paper cites Realistic image synthesis of covid-19 chest x-rays using depthwise boundary equilibrium generative adversarial networks.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Realistic image synthesis of covid-19 chest x-rays using depthwise boundary equilibrium generative adversarial networks

Reference 13

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verified fuzzy
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Source-reported events for the cited work

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Observation 1ae082e6-9ff3-4c8c-a824-68c533faa263 · outbound

This paper cites Open CLIP , version 0.1, jul.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Open CLIP , version 0.1, jul

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T16:46:12.031056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.194801Z digest=sha256:984e08b237121bf061a0b8cbd7ce25ce95fed2f869eb671f2712c19227fcc750

Observation c86894fd-f390-4650-be71-7622c2a468af · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6788721c-71f6-40b4-9947-624d3ff51092 · outbound

This paper cites High-resolution computed tomography with 1,024-matrix for artificial intelligence-based computer-aided diagnosis in the evaluation of pulmonary nodules.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images High-resolution computed tomography with 1,024-matrix for artificial intelligence-based computer-aided diagnosis in the evaluation of pulmonary nodules

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 20a04cb6-f149-42b0-b03b-b051746c184e · outbound

This paper cites Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4e5a340c-7030-40a0-85f4-828c68e667f7 · outbound

This paper cites Counterfactual image synthesis for discovery of personalized predictive image markers.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Counterfactual image synthesis for discovery of personalized predictive image markers

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c0b14be7-47af-4cda-bcc3-1bed0c785cb6 · outbound

This paper cites Debiasing counterfactuals in the presence of spurious correlations.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Debiasing counterfactuals in the presence of spurious correlations

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.541643Z digest=sha256:669ee75f7d77d5251ba71de2870cc229b839743dc945e988c8e7486912468c66

Observation 6ec06a39-bc6e-470d-bdf0-6ce587bbba26 · outbound

This paper cites Prism: High-resolution & precise counterfactual medical image generation using language-guided stable diffusion.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Prism: High-resolution & precise counterfactual medical image generation using language-guided stable diffusion

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.627040Z digest=sha256:9cdc19c7ba446172a63c4785c4922312530fe1aed016026a910a42bea9b93262

Observation c253b990-6b7d-4ebd-b804-aea4416964b9 · outbound

This paper cites Chest x-ray generation and data augmentation for cardiovascular abnormality classification.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Chest x-ray generation and data augmentation for cardiovascular abnormality classification

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 43b5dcde-638a-41f7-9f3d-8a1370a1580a · outbound

This paper cites Ganterfactual—counterfactual explanations for medical non-experts using generative adversarial learning.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Ganterfactual—counterfactual explanations for medical non-experts using generative adversarial learning

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 67b090bc-f3f6-4af6-a915-be416556ed89 · outbound

This paper cites Influence of field of view size on image quality: ultra-high-resolution ct vs.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Influence of field of view size on image quality: ultra-high-resolution ct vs

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T16:46:10.958637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.854920Z digest=sha256:80ab9f46d3118cbcba31d2bacf09237de3393c5e26c84af94346fdb78477c796

Observation fa1b46c8-7e4d-496f-b469-0abfb6854ef8 · outbound

This paper cites Radedit: stress-testing biomedical vision models via diffusion image editing.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Radedit: stress-testing biomedical vision models via diffusion image editing

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.858686Z digest=sha256:94e470cfbd22371950e3c7456c90290f33f8638f76a9b33ebc0706aaa57e75c1

Observation 4f1de521-cbae-4a07-ba3a-401e34cd66ab · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

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unresolved
no resolver link, observed 2026-08-06T16:46:09.881303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:09.881303Z digest=sha256:407d4f034a9e642d4b9763ab2d84dd8b4e5728a21ef6210b11359f48d129c002

Observation 6b033e62-9fa5-47c5-8739-73458de89eb1 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Learning transferable visual models from natural language supervision

Reference 26

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unresolved
no resolver link, observed 2026-08-06T16:46:09.910466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:46:09.910466Z digest=sha256:e288a689cc4b50092b09d4978ec1f9d1dd8279f61a955527fbbfbb008091c9b2

Observation 0388dc62-5ab9-4717-a182-62547515dd50 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images High-resolution image synthesis with latent diffusion models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:46:10.666133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3ab7a385-8aeb-4493-8c8f-096a3cce8b2f · outbound

This paper cites Ct imaging with ultra-high-resolution: Opportunities for cardiovascular imaging in clinical practice.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Ct imaging with ultra-high-resolution: Opportunities for cardiovascular imaging in clinical practice

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:46:10.517251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.954098Z digest=sha256:0a20a0245b7fb949dbb152bfd7d0b45213e742c8dc7f51227e24ea02880d9afa

Observation 3081a0cd-e96f-4515-a39d-ff5e306e5d63 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:46:10.369951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:09.991173Z digest=sha256:82068ef21db22a39db18885a0b4cd77cfcd307c2aa937913776c0d341f271760

Observation 5c039d0a-cd48-450e-a84e-bf70f48580cb · outbound

This paper cites Subjective and objective comparisons of image quality between ultra-high-resolution ct and conventional area detector ct in phantoms and cadaveric human lungs.

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images Subjective and objective comparisons of image quality between ultra-high-resolution ct and conventional area detector ct in phantoms and cadaveric human lungs

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:46:10.179476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T16:46:10.036706Z digest=sha256:bd31115da8716ad2a6974f5e72d3bff6aa77b9b183767699eff13e729c63f73b

Pith citing papers

No inbound Pith citation observations are available.