Paper Citation Record · LEDGER

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2604.11680.

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

pith.paper-citation-record.v1
2604.11680 v1

Coverage vector

measured 36 of 36 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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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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External citation measurements

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Outbound references

Observation fcd18233-fee3-43ff-828d-4fab27fcdbdc · outbound

This paper cites Distributed force control for microrobot manipulation via planar multi-spot optical tweezer.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Distributed force control for microrobot manipulation via planar multi-spot optical tweezer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:32:26.607404Z

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Observation 199e2453-b59f-4aa5-b18b-0d3baecc4aea · outbound

This paper cites Optical chiral microrobot for out-of-plane rotation.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Optical chiral microrobot for out-of-plane rotation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:32:26.610241Z

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Observation 97a92902-c7ff-4641-baf8-dea814f96746 · outbound

This paper cites Optical-driven miniature robots: driving mechanism, applications and future trends.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Optical-driven miniature robots: driving mechanism, applications and future trends

Reference 3

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Observation 4c508027-62f6-4d4d-87dc-89d7f0a0103c · outbound

This paper cites Optical tweezers in single-molecule biophysics.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Optical tweezers in single-molecule biophysics

Reference 4

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Observation 6b03d7f2-9033-42c9-b09b-f846bae90d6e · outbound

This paper cites Physics-informed machine learn- ing with adaptive grids for optical microrobot depth estimation.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Physics-informed machine learn- ing with adaptive grids for optical microrobot depth estimation

Reference 5

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Observation 4056abe4-a6d6-41c0-93a9-367406446504 · outbound

This paper cites A dataset and benchmarks for deep learning- based optical microrobot pose and depth perception.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation A dataset and benchmarks for deep learning- based optical microrobot pose and depth perception

Reference 6

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Observation 7e5d79a9-d084-4713-af46-e74c81a29961 · outbound

This paper cites Diffusion models in medical imaging: A comprehensive survey.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Diffusion models in medical imaging: A comprehensive survey

Reference 7

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Observation 4a21ad78-4ce6-4def-8cb9-763f940e6d42 · outbound

This paper cites Deep learning approaches for data augmentation in medical imaging: a review.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Deep learning approaches for data augmentation in medical imaging: a review

Reference 8

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Observation 0d88d5f2-feca-4d27-9a54-c2e1aa06ce88 · outbound

This paper cites Medical image data augmentation: techniques, compar- isons and interpretations.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Medical image data augmentation: techniques, compar- isons and interpretations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.594080Z

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Observation c64eec74-969a-4f87-88e5-795cc5b3731a · outbound

This paper cites A review and systematic guide to counteracting medical data scarcity for ai applications.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation A review and systematic guide to counteracting medical data scarcity for ai applications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.584595Z

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Observation b4221487-0099-4def-b570-ff0b4e9eeeac · outbound

This paper cites Data-driven microscopic pose and depth estimation for optical microrobot manipulation.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Data-driven microscopic pose and depth estimation for optical microrobot manipulation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.590081Z

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Observation 685646c6-cd23-40d7-b85b-2198c6991074 · outbound

This paper cites Fabrication and optical manipulation of micro-robots for biomedical applications.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Fabrication and optical manipulation of micro-robots for biomedical applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.376873Z

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Observation 560708d1-f503-4e46-8c97-ef9744e98fca · outbound

This paper cites Incorporating the image formation process into deep learning improves network performance.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Incorporating the image formation process into deep learning improves network performance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.603283Z

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Observation 77a0ed60-11bb-4bf7-8838-3f92d2315698 · outbound

This paper cites Deep self-learning enables fast, high- fidelity isotropic resolution restoration for volumetric fluorescence microscopy.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Deep self-learning enables fast, high- fidelity isotropic resolution restoration for volumetric fluorescence microscopy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.605288Z

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Observation b0642f42-6b76-458f-b9e3-a29849699b4e · outbound

This paper cites Deep learning- based aberration compensation improves contrast and resolution in fluorescence microscopy.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Deep learning- based aberration compensation improves contrast and resolution in fluorescence microscopy

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.630631Z

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Observation 0a5a8710-47b8-47be-a0c7-9ba55e29f3cc · outbound

This paper cites A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis

Reference 16

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Observation e270a7d2-7986-4cbd-9b83-c0d0dcfba8a2 · outbound

This paper cites Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Reference 17

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Observation b138c9c8-6780-4290-95ee-79912ec218ef · outbound

This paper cites Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Pixel super-resolved virtual staining of label-free tissue using diffusion models

Reference 18

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Observation ef8c323a-a8ed-43f1-a37b-d7c5cbdd9592 · outbound

This paper cites Interactive ot gym: A reinforcement learning- based interactive optical tweezer (ot)-driven microrobotics simulation platform.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Interactive ot gym: A reinforcement learning- based interactive optical tweezer (ot)-driven microrobotics simulation platform

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.596329Z

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Observation ae22290d-c6fb-46e0-931b-d91b7dd773bb · outbound

This paper cites Micro-object pose estimation with sim-to-real transfer learning using small dataset.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Micro-object pose estimation with sim-to-real transfer learning using small dataset

Reference 20

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Observation cd5e4b32-fd9d-4c95-839a-1094b975599b · outbound

This paper cites Physics-informed machine learning for efficient sim-to-real data augmentation in micro-object pose esti- mation.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Physics-informed machine learning for efficient sim-to-real data augmentation in micro-object pose esti- mation

Reference 21

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Observation 910dccf3-c184-458a-b96a-c0bc4213ed6f · outbound

This paper cites Spatial frequency bias in convo- lutional generative adversarial networks.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Spatial frequency bias in convo- lutional generative adversarial networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.582634Z

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Observation 519fc64d-59a9-47fc-991a-84453dd65472 · outbound

This paper cites A survey on training challenges in generative adversarial networks for biomedical image analysis.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation A survey on training challenges in generative adversarial networks for biomedical image analysis

Reference 23

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Observation 3b5bc8c0-6373-48a8-b34d-5a4f4b95566e · outbound

This paper cites Diffusion models beat gans on image synthesis.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Diffusion models beat gans on image synthesis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.586578Z

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Observation 3318bab7-7206-4f6e-be94-734198597fc3 · outbound

This paper cites Focal frequency loss for image reconstruction and synthesis.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Focal frequency loss for image reconstruction and synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.628280Z

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Observation 496a0851-f7ee-408b-929d-af85d6d1b18c · outbound

This paper cites On the spectral bias of neural networks.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation On the spectral bias of neural networks

Reference 26

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Observation 23f23aee-c53b-4f44-9138-f6268ef3decc · outbound

This paper cites This microtubule does not exist: Super-resolution microscopy image generation by a diffusion model.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation This microtubule does not exist: Super-resolution microscopy image generation by a diffusion model

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.618930Z

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Observation 11a49dac-00f4-4405-a23d-be6390f91840 · outbound

This paper cites Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets

Reference 28

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Observation da5c952c-a4c0-4178-8554-025ea0eb6564 · outbound

This paper cites Microscopy image reconstruction with physics-informed denoising diffusion prob- abilistic model.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Microscopy image reconstruction with physics-informed denoising diffusion prob- abilistic model

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.613142Z

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Observation 309684b8-d936-46e4-86b3-c1dff3748883 · outbound

This paper cites Conditional diffusion model to enhance optical sectioning microscopy.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Conditional diffusion model to enhance optical sectioning microscopy

Reference 30

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Observation 1bce2066-295c-4348-8b3e-938c4507aecb · outbound

This paper cites Three-dimensional optical microrobot orientation estimation and tracking using deep learning.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Three-dimensional optical microrobot orientation estimation and tracking using deep learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.644541Z

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Observation 28bafa38-f740-4e22-9c59-2fb7baebaf4e · outbound

This paper cites Fair data for optical tweezers experiments.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Fair data for optical tweezers experiments

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.355594Z

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Observation 5dd587b3-bbb1-49e3-ab63-d235bb37c438 · outbound

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

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation High-resolution image synthesis with latent diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.360032Z

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Observation 146504da-f673-4da2-bc8a-52e44e2ca346 · outbound

This paper cites Resolution in super-resolution microscopy–facts, artifacts, technolog- ical advancements and biological applications.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Resolution in super-resolution microscopy–facts, artifacts, technolog- ical advancements and biological applications

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.635342Z

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Observation 53330c84-4e98-4bd2-83ee-8077e4242acf · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Adding conditional control to text-to-image diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.637493Z

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Observation 24a5ae06-0afa-44e5-8fb6-cf78f9b98f2a · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation Image-to-image translation with conditional adversarial networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:22:26.632739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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