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Paper Citation Record · LEDGER

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2505.07071.

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

pith.paper-citation-record.v1
2505.07071 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:31:11.024955Z

measured 44 of 44 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:31.848254Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:01:04.993505Z

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dba68b5a-a66b-4b83-9fdf-4c412c3dd06a · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Musiq: Multi-scale image quality transformer

Reference 8

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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.

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Observation c3695d9f-d9f9-4606-88eb-6c276baf7e9a · outbound

This paper cites Segment anything.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Segment anything

Reference 9

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Source-reported events for the cited work

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

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Observation d6639181-4a8d-4d3a-98c4-c035eccf37d3 · outbound

This paper cites Photo-realistic single image super- resolution using a generative adversarial network.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Photo-realistic single image super- resolution using a generative adversarial network

Reference 10

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Source-reported events for the cited work

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Observation 64ca2924-d10a-48d6-8945-1a3667da93c6 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Swinir: Image restoration using swin transformer

Reference 12

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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.

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Observation 7e3504fc-c3d8-47c9-987e-fbea8a7af6ef · outbound

This paper cites Ef- ficient and degradation-adaptive network for real-world image super-resolution.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Ef- ficient and degradation-adaptive network for real-world image super-resolution

Reference 13

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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.

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Observation ab80b305-3da3-4c12-8b83-16b8e2df5343 · outbound

This paper cites Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.916135Z digest=sha256:2cb0ed880be3055add637f74387d2c129626738d47e3bcb19d7918e8e2589dd0

Observation 37c50d3f-1bc9-483f-b872-a44d48ffce75 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Process- ing Systems, 35:5775–5787,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Process- ing Systems, 35:5775–5787,

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:31:10.920177Z digest=sha256:b35a351319a8e46a32016b7e85b075a5e1fe6af8a1fe9df81412bfa716c0554b

Observation 208eefab-5fcf-4e3c-a0f4-2f83dc75fbd3 · outbound

This paper cites Can SAM Boost Video Super-Resolution?.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Can SAM Boost Video Super-Resolution?

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.924552Z digest=sha256:5f61f30e69c9de396f5c8e5165c5611eefc50e9272a6731f017a7b605327217b

Observation 8c5b137c-b67d-4a29-b76f-b3c172be8593 · outbound

This paper cites Srflow: Learning the super-resolution space with normalizing flow.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Srflow: Learning the super-resolution space with normalizing flow

Reference 17

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raw_fallback, observed 2026-08-15T22:31:11.474248Z

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.

source=pdf_text observed=2026-08-15T22:31:10.928546Z digest=sha256:f9cb700fca1c34fae2af433c5b59e405db1935b2f53f65be4fe2301669e5f984

Observation 815cf93f-f981-4cb6-9d7b-a148c59b630c · outbound

This paper cites A tour of modern im- age filtering: New insights and methods, both practical and theoretical.IEEE signal processing magazine, 30(1):106– 128,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution A tour of modern im- age filtering: New insights and methods, both practical and theoretical.IEEE signal processing magazine, 30(1):106– 128,

Reference 18

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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.

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Observation 91bc915d-932c-42b7-b9a9-055cff269e4e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution SAM 2: Segment Anything in Images and Videos

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.939219Z digest=sha256:8481ce03b4b3f1e09d4f12660c67972c03c53077fbb94a38019092db271f1368

Observation 5bead505-0504-4137-9f0f-92333aa76239 · outbound

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

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution High-resolution image synthesis with latent diffusion models

Reference 21

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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.

source=pdf_text observed=2026-08-15T22:31:10.943308Z digest=sha256:bd8eebd9c21b084305da057ff9995533fcc3edfb88efe1c06c95ae071d558050

Observation f4826ebe-dafd-4a67-a7c5-2a546809fed8 · outbound

This paper cites Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,

Reference 22

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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.

source=pdf_text observed=2026-08-15T22:31:10.947256Z digest=sha256:81b9a7345300806e2c118d09aca7492df73bf0ed270d93010ad8a4434174310a

Observation bc9f3060-0716-412c-a694-83f3d9eacc9c · outbound

This paper cites Interactive 3D Medical Image Segmentation with SAM 2.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Interactive 3D Medical Image Segmentation with SAM 2

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb42b28b-e87e-4a06-bcc8-ce866f0e77ca · outbound

This paper cites Denoising Diffusion Implicit Models.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Denoising Diffusion Implicit Models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.955742Z digest=sha256:0806daa67f9123f8247fea9aa51c02ebfbcbeaef232a8b05257ea598bc00df7d

Observation c2d534d9-6541-4c98-9245-f01829d61973 · outbound

This paper cites Image super-resolution using gradient profile prior.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Image super-resolution using gradient profile prior

Reference 25

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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.

source=pdf_text observed=2026-08-15T22:31:10.959383Z digest=sha256:ee2a59be3a2f10a14a633854e06419ee26464c12f871d9d220ae345620ec2e34

Observation 009c75e1-bcac-41d8-83ba-54163af044f9 · outbound

This paper cites Esrgan: Enhanced super-resolution gener- ative adversarial networks.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Esrgan: Enhanced super-resolution gener- ative adversarial networks

Reference 27

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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.

source=pdf_text observed=2026-08-15T22:31:10.967031Z digest=sha256:6f0d3c3834544c7a7a3a20786dd6d2faeee9f1417c1f627bc1e731ff58ca5076

Observation e55cad8c-f58b-4330-909a-41b83e099e3e · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 29

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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.

source=pdf_text observed=2026-08-15T22:31:10.974989Z digest=sha256:1c247085bc196fcabade17be1656cf4b02b820e2e4a2391a760f7851a8243bdd

Observation d277029b-85b2-4464-9482-290b5b1835ff · outbound

This paper cites Exploring clip for assessing the look and feel of images.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Exploring clip for assessing the look and feel of images

Reference 30

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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.

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Observation 73b16325-2256-4e40-97cf-41cd61696609 · outbound

This paper cites Sinsr: diffusion-based image super-resolution in a single step.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Sinsr: diffusion-based image super-resolution in a single step

Reference 31

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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.

source=pdf_text observed=2026-08-15T22:31:10.982534Z digest=sha256:4dec793f6b6b387f586b44cfb715d6ece08f9b3f659def02a3e20e981f56b015

Observation 80c0344e-7bdc-4f0c-aa5c-f2f738c5c9bf · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 31a05d31-b61a-4abb-bad1-8b6b2f1e7e02 · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image seg- mentation.arXiv preprint arXiv:2408.08870,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image seg- mentation.arXiv preprint arXiv:2408.08870,

Reference 33

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Observation 98938721-e7c2-4592-9581-19b9da2f635f · outbound

This paper cites Image super-resolution via sparse representation.IEEE transactions on image processing, 19(11):2861–2873,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Image super-resolution via sparse representation.IEEE transactions on image processing, 19(11):2861–2873,

Reference 34

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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.

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Observation 734c854d-db71-47d8-9447-b333b40df355 · outbound

This paper cites False Negative/Positive Control for SAM on Noisy Medical Images.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution False Negative/Positive Control for SAM on Noisy Medical Images

Reference 36

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Unavailable: canonical work link unavailable.

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Observation 8adff634-31f9-491e-87fd-9669984ad0e8 · outbound

This paper cites Resshift: Efficient diffusion model for image super-resolution by residual shifting.Advances in Neural Information Processing Systems, 36,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Resshift: Efficient diffusion model for image super-resolution by residual shifting.Advances in Neural Information Processing Systems, 36,

Reference 37

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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.

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Observation 2f30e4e8-87d9-4344-ba44-1d0e21083e33 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Customized Segment Anything Model for Medical Image Segmentation

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:11.012331Z digest=sha256:597778822def0c93c430e21cdbcf792ae25821c50fa50442d9cc78169c5dc391

Observation 0430f2f0-d3ca-40fe-a7ba-f7c1c830bead · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Designing a practical degradation model for deep blind image super-resolution

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-15T22:31:11.298103Z

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.

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Observation bc46613e-cfca-4089-9ac0-5cca0c20a0e0 · outbound

This paper cites Light-m: An efficient lightweight medical image segmentation framework for resource-constrained iomt.Computers in Biology and Medicine, 170:108088,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Light-m: An efficient lightweight medical image segmentation framework for resource-constrained iomt.Computers in Biology and Medicine, 170:108088,

Reference 40

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raw_fallback, observed 2026-08-15T22:31:11.283783Z

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.

source=pdf_text observed=2026-08-15T22:31:11.020308Z digest=sha256:8f0ec86c6b4bb3b45f2a816accf24b677aa92bd7d543f922e7d18c1633e856a6

Observation 44b34d03-3000-4bd4-9c38-0f97574fd5db · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:11.024955Z digest=sha256:4a57e59106798cd528aac56db86106a6d325d327bcbe83ead374c91a740bdfbd

Observation 54cccdc8-6fb5-4644-a1a8-76a432a5a99e · outbound

This paper cites HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior

Reference 2008

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no resolver link, observed 2026-08-15T22:31:10.963104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.963104Z digest=sha256:3c823753415db2d010280f08c45dbb15dedc14bb8019bb42e019ec946909b6ef

Observation 97bc986a-9382-4d03-85e5-56fb2e804957 · outbound

This paper cites SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 2010

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no resolver link, observed 2026-08-15T22:31:10.998023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.998023Z digest=sha256:ba9d4fe939b2aa08d71380945a657c9e635c25f61f01da15cbcc9a25d5793e1a

Observation 8cd2c615-b658-47ba-9032-40ee5d33cc50 · outbound

This paper cites Learning transferable visual models from nat- ural language supervision.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Learning transferable visual models from nat- ural language supervision

Reference 2012

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verified fuzzy
raw_fallback, observed 2026-08-15T22:31:11.449554Z

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.

source=pdf_text observed=2026-08-15T22:31:10.935776Z digest=sha256:3708b410547d0ea74fad0dd48447ec6c2f5d9ce325dd02f4a9e3103c360e9c50

Observation 08a34fb2-f94f-4523-b7a7-2ad8f964a87e · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851,.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851,

Reference 2014

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:10.886260Z digest=sha256:5236112b1b2b9ef70cbad47c29c8dba2565d32cc552073f15c56982c8b0d97ca

Observation fce05a14-369f-4f39-8faa-6db8c4fe86ad · outbound

This paper cites Self-sampling meta sam: enhancing few- shot medical image segmentation with meta-learning.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Self-sampling meta sam: enhancing few- shot medical image segmentation with meta-learning

Reference 2017

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verified fuzzy
raw_fallback, observed 2026-08-15T22:31:11.522857Z

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.

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Observation bab47ab7-04f6-41b6-85a0-dcbeee522778 · outbound

This paper cites Deep learning for image super-resolution: A survey.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Deep learning for image super-resolution: A survey

Reference 2018

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

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Observation 8d4789ee-8827-450f-9971-0530fa12cdba · outbound

This paper cites Ciaosr: Contin- uous implicit attention-in-attention network for arbitrary- scale image super-resolution.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Ciaosr: Contin- uous implicit attention-in-attention network for arbitrary- scale image super-resolution

Reference 2019

Resolution
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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.

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Observation 44863582-7ae0-42f3-ab3b-44db2705ac72 · outbound

This paper cites Real-world super- resolution via kernel estimation and noise injection.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Real-world super- resolution via kernel estimation and noise injection

Reference 2020

Resolution
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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.

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Observation d72a5fb0-a593-4948-b204-0ad05845f6fd · outbound

This paper cites Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction

Reference 2021

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 682d6c77-1aa7-4d4d-be5d-36e43b57108e · outbound

This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 2022

Resolution
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Observation ec01db48-d42a-463c-bef3-1336b6cf6645 · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 2023

Resolution
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Unavailable: canonical work link unavailable.

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Observation afb23572-5f2b-403a-99a6-f7075dedf225 · outbound

This paper cites Learning a deep convolutional net- work for image super-resolution.

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution Learning a deep convolutional net- work for image super-resolution

Reference 2024

Resolution
verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

Observation 52c40cd3-91c3-4447-a17c-89bda827231d · inbound

DiSA: Diffusion Step Annealing in Autoregressive Image Generation cites this paper.

DiSA: Diffusion Step Annealing in Autoregressive Image Generation Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:01:05.067871Z

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.

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Observation 006ef156-86f4-4a31-8722-859cb21b7e37 · inbound

Semantic-Guided Cross-Sensor Super Resolution of Remote Sensing Images: A Gated Dual Conditioning Flow Matching Model cites this paper.

Semantic-Guided Cross-Sensor Super Resolution of Remote Sensing Images: A Gated Dual Conditioning Flow Matching Model Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Reference 2022

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8775553d-4e71-47eb-a69a-e675731089e9 · inbound

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling cites this paper.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Reference 209

Resolution
unresolved
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