Paper Citation Record · LEDGER

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2505.14254.

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

pith.paper-citation-record.v1
2505.14254 v1

Coverage vector

measured 47 of 47 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:16.758301Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation 02174c67-4b7b-43a7-bd22-f7eaed67b848 · outbound

This paper cites Sega: Instructing text-to-image models using semantic guidance.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Sega: Instructing text-to-image models using semantic guidance

Reference 1

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Observation 311f8ba3-14d8-4822-8683-2c0bd1418374 · outbound

This paper cites , wK]T ∈ RK×p, where K is the number of classes, p is the dimension of the linear classifier.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization , wK]T ∈ RK×p, where K is the number of classes, p is the dimension of the linear classifier

Reference 2

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Observation 03fde1ac-73eb-47c4-98f6-919e5f69dd3c · outbound

This paper cites Diffusion models beat gans on image synthe- sis.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Diffusion models beat gans on image synthe- sis

Reference 6

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Observation 62487296-656f-48a8-b89c-2da896596686 · outbound

This paper cites Gen- erative adversarial nets.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Gen- erative adversarial nets

Reference 9

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Observation 14a18b98-7d90-45c0-b098-676aa237be67 · outbound

This paper cites Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 10

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Observation 04a1b3e4-4531-48b6-bafd-7c5751c23771 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 12

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Observation 0d18a937-e67c-4802-a8ba-dd84d06896b1 · outbound

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

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 13

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Observation 3796115d-105e-43ba-98b2-3b9b1e0204c2 · outbound

This paper cites Denoising diffusion probabilistic models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Denoising diffusion probabilistic models

Reference 15

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Observation dd4d2c55-a9b3-4ba0-a040-a20d308016c0 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization A style-based generator architecture for generative adversarial networks

Reference 16

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Observation 9b9644e4-7e05-4013-9462-c7e62a788493 · outbound

This paper cites Diffusionclip: Text-guided diffusion mod- els for robust image manipulation.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Diffusionclip: Text-guided diffusion mod- els for robust image manipulation

Reference 18

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Observation 97a0de36-da57-448c-87ae-f37f06ae4c81 · outbound

This paper cites Auto-Encoding Variational Bayes.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Auto-Encoding Variational Bayes

Reference 19

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Observation eadbf758-64ba-4538-b973-94bf4ff2326f · outbound

This paper cites Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance

Reference 22

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Observation 28b86c2f-d5c6-4077-b16e-e3a748dd9c57 · outbound

This paper cites Compositional vi- sual generation with composable diffusion models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Compositional vi- sual generation with composable diffusion models

Reference 23

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Observation 267ec41c-d82e-483e-aa3b-795fa7b86f7b · outbound

This paper cites Decoupled Weight Decay Regularization.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Decoupled Weight Decay Regularization

Reference 24

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Observation 12c39c45-bcc6-474b-a697-bbdf1737077d · outbound

This paper cites Hierar- chical diffusion autoencoders and disentangled image ma- nipulation.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Hierar- chical diffusion autoencoders and disentangled image ma- nipulation

Reference 25

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Observation ec1c9cc2-180e-41be-8aef-10b90b142f01 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 26

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Observation c56c6929-6efd-431d-a67a-1c39f68ca2cc · outbound

This paper cites Null-text Inversion for Editing Real Images using Guided Diffusion Models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Null-text Inversion for Editing Real Images using Guided Diffusion Models

Reference 27

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Observation ad1de71e-2c1b-4a34-ac3f-3a585129367f · outbound

This paper cites Prevalence of neural collapse during the terminal phase of deep learning training.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Prevalence of neural collapse during the terminal phase of deep learning training

Reference 28

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Observation dcae86aa-5daa-47e7-93dd-ddc5d6ff094a · outbound

This paper cites Diffusion autoencoders: Toward a meaningful and decodable representation.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Diffusion autoencoders: Toward a meaningful and decodable representation

Reference 29

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Observation 68685701-a4a3-4e8b-87de-3443ba23719d · outbound

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

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Learning transferable visual models from nat- ural language supervision

Reference 30

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Observation eff7a965-ca83-4673-81ce-d8af19667c18 · outbound

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

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization High-resolution image synthesis with latent diffusion models

Reference 31

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Observation feb759c5-a5f6-47c1-943d-2c7b939bd33a · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language un- derstanding.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Photorealistic text-to-image diffusion models with deep language un- derstanding

Reference 32

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Observation bebd676d-d21c-43f9-bf7d-23c4302b71c2 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29,.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Improved techniques for training gans.Advances in neural information processing systems, 29,

Reference 33

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Observation b5eb928f-25f5-4ff3-bcf8-3add40afa4d0 · outbound

This paper cites Denoising Diffusion Implicit Models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Denoising Diffusion Implicit Models

Reference 35

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Observation fad36980-2af0-4c7b-adda-bf99186c9613 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Score-based generative modeling through stochastic differential equations

Reference 36

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Observation f2b8bef9-e20e-40e4-9e53-f243df815b14 · outbound

This paper cites Plug-and-play diffusion fea- tures for text-driven image-to-image translation.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Plug-and-play diffusion fea- tures for text-driven image-to-image translation

Reference 37

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Observation 6aae7aa1-901b-428e-a8ff-dd618e1a28c4 · outbound

This paper cites UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

Reference 38

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Observation a3235a8f-7364-4204-82e4-35f4aa7fa406 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 39

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Observation 88aecad8-9944-42b2-9f0c-cab78fe55aa8 · outbound

This paper cites A latent space of stochastic diffusion models for zero-shot image editing and guidance.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization A latent space of stochastic diffusion models for zero-shot image editing and guidance

Reference 40

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Observation 832726c6-0420-49f4-b134-c7d259ff29b4 · outbound

This paper cites Uncovering the disentanglement capa- bility in text-to-image diffusion models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Uncovering the disentanglement capa- bility in text-to-image diffusion models

Reference 41

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Unresolved cited work

Reference 42

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Observation bac57c2e-ce9c-4ef6-aa82-3405ad8c8ddd · outbound

This paper cites Object-aware Inversion and Reassembly for Image Editing.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Object-aware Inversion and Reassembly for Image Editing

Reference 43

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization The unreasonable effectiveness of deep features as a perceptual metric

Reference 44

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Unresolved cited work

Reference 45

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Unresolved cited work

Reference 47

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Bushy Eyebrows

Reference 48

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This paper cites DeepFakes: a New Threat to Face Recognition? Assessment and Detection.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Reference 2013

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Prompt tuning inversion for text-driven image editing using diffusion models

Reference 2014

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2016

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Classifier-Free Diffusion Guidance

Reference 2017

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization 3d object representations for fine- grained categorization

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:21.128494Z

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Observation cba847a2-6d46-4644-be1d-a8ee5da9cd94 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2019

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Observation 00d83234-fb8d-4856-8683-f67201b7bfdb · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 2020

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Observation 45a941e5-30bf-48f4-aa98-4640987f8a49 · outbound

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization NICE: Non-linear Independent Components Estimation

Reference 2021

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Observation ca37c887-af8e-46c1-83e4-33d1f3ed9896 · outbound

This paper cites Noiseclr: A contrastive learning approach for unsupervised discovery of interpretable directions in dif- fusion models.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Noiseclr: A contrastive learning approach for unsupervised discovery of interpretable directions in dif- fusion models

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:22.097848Z

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Observation 1ffea74b-99f9-443d-9f87-a45a53571a3e · outbound

This paper cites Exploring low- dimensional subspaces in diffusion models for controllable image editing.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Exploring low- dimensional subspaces in diffusion models for controllable image editing

Reference 2023

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Observation 1afbfdeb-29fc-450c-b6d0-ed8c4c88bd49 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Stargan v2: Diverse image synthesis for multiple domains

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:22.280191Z

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Pith citing papers

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