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Paper Citation Record · LEDGER

Steering Guidance for Personalized Text-to-Image Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2508.00319.

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

pith.paper-citation-record.v1
2508.00319 v1

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measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:18:02.963300Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

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41 of 41 outbound references displayed

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Outbound references

Observation 61c7e850-eb06-4f87-8d44-aa2cb73ea407 · outbound

This paper cites Self-rectifying diffu- sion sampling with perturbed-attention guidance.

Steering Guidance for Personalized Text-to-Image Diffusion Models Self-rectifying diffu- sion sampling with perturbed-attention guidance

Reference 1

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Observation b5f864cd-14ac-494c-b3a9-b153f0a466a9 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Steering Guidance for Personalized Text-to-Image Diffusion Models In- structpix2pix: Learning to follow image editing instructions

Reference 2

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Observation 85ddcb2f-657c-4a90-8be6-0f35a2c82d6d · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Steering Guidance for Personalized Text-to-Image Diffusion Models Emerg- ing properties in self-supervised vision transformers

Reference 3

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Observation a820e977-e4df-4dc1-87a6-0d02fd219821 · outbound

This paper cites Improving subject-driven image syn- thesis with subject-agnostic guidance.

Steering Guidance for Personalized Text-to-Image Diffusion Models Improving subject-driven image syn- thesis with subject-agnostic guidance

Reference 4

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Observation 69b9f220-a6bc-4164-9539-5be339bcc71e · outbound

This paper cites PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction.

Steering Guidance for Personalized Text-to-Image Diffusion Models PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction

Reference 5

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Observation a33779ec-cc14-4d3c-8ec0-0ea646af32bf · outbound

This paper cites Subject-driven text-to-image generation via apprenticeship learning.

Steering Guidance for Personalized Text-to-Image Diffusion Models Subject-driven text-to-image generation via apprenticeship learning

Reference 6

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Observation 70d06877-5fa2-40bb-8277-3006e2d102ad · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Steering Guidance for Personalized Text-to-Image Diffusion Models CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 7

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Observation ff6a2cf9-2e5e-4715-854a-65e6ebfad983 · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Steering Guidance for Personalized Text-to-Image Diffusion Models DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 8

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Observation 59d50f82-524d-494c-93a5-0b608341d4a8 · outbound

This paper cites An image is worth one word: Personalizing text-to-image gener- ation using textual inversion.

Steering Guidance for Personalized Text-to-Image Diffusion Models An image is worth one word: Personalizing text-to-image gener- ation using textual inversion

Reference 9

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Observation 653f0df9-448b-43f8-b3e1-f40149be8dd7 · outbound

This paper cites ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation.

Steering Guidance for Personalized Text-to-Image Diffusion Models ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation

Reference 10

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Observation 4fc5d0d0-8a73-4853-99b1-531e16e99f96 · outbound

This paper cites Classifier-free diffusion guidance.

Steering Guidance for Personalized Text-to-Image Diffusion Models Classifier-free diffusion guidance

Reference 11

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Observation b908f0b1-e5b7-41d5-9465-869d24e2ec77 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Steering Guidance for Personalized Text-to-Image Diffusion Models Denoising diffu- sion probabilistic models

Reference 12

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Observation c02fa1ef-6f89-4321-acf7-fce2433f61ad · outbound

This paper cites Improving sample quality of diffusion models us- ing self-attention guidance.

Steering Guidance for Personalized Text-to-Image Diffusion Models Improving sample quality of diffusion models us- ing self-attention guidance

Reference 13

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Observation c0131a42-a04b-4e07-ba25-d5806b4ea59f · outbound

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

Steering Guidance for Personalized Text-to-Image Diffusion Models LoRA: Low-rank adaptation of large language models

Reference 14

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Observation 87a52d1e-d356-4cf4-91e0-c950f8d01baa · outbound

This paper cites ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance.

Steering Guidance for Personalized Text-to-Image Diffusion Models ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance

Reference 15

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Observation a9110691-d761-4779-b387-2d1a6ba9fef2 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

Steering Guidance for Personalized Text-to-Image Diffusion Models In-Context LoRA for Diffusion Transformers

Reference 16

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Observation a8c10f62-f9e2-4aee-b8cd-edc4847b5138 · outbound

This paper cites Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling.

Steering Guidance for Personalized Text-to-Image Diffusion Models Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling

Reference 17

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source=pdf_text observed=2026-08-06T10:18:02.843518Z digest=sha256:a83f7ff24f6460010aa8845ccfaf81ec7fc78b5a4f6f4b4a926787776d6e27f6

Observation e886a7bf-bded-4c5f-afa8-6b5e49330900 · outbound

This paper cites Customizing text-to-image models with a single image pair.

Steering Guidance for Personalized Text-to-Image Diffusion Models Customizing text-to-image models with a single image pair

Reference 18

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Observation 0c7ac99c-670d-4735-b528-4e0dcc9c4fcb · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

Steering Guidance for Personalized Text-to-Image Diffusion Models Guiding a diffusion model with a bad version of itself

Reference 19

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source=pdf_text observed=2026-08-06T10:18:02.853061Z digest=sha256:95d9f7da041e77d8ec3998e59b275449958b2c726d40194f6e73e6b0cc1b32b4

Observation 611694c5-b673-475d-9e4b-5f1580393271 · outbound

This paper cites AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models.

Steering Guidance for Personalized Text-to-Image Diffusion Models AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models

Reference 20

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Observation 8340a827-f86e-4737-8528-05eb89f4ea23 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Steering Guidance for Personalized Text-to-Image Diffusion Models Multi-concept customization of text-to-image diffusion

Reference 21

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Observation 70582d9a-7654-4cce-9836-71dbbb571ec6 · outbound

This paper cites Aligning diffusion mod- els by optimizing human utility.

Steering Guidance for Personalized Text-to-Image Diffusion Models Aligning diffusion mod- els by optimizing human utility

Reference 22

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Observation 701c6a47-73e4-4d75-9ebd-fb3ba081f73f · outbound

This paper cites Dreammatcher: appearance matching self-attention for semantically-consistent text-to- image personalization.

Steering Guidance for Personalized Text-to-Image Diffusion Models Dreammatcher: appearance matching self-attention for semantically-consistent text-to- image personalization

Reference 23

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Observation cabc9581-0f36-4fc1-bea4-b9a9fe9119cd · outbound

This paper cites Scalable diffusion models with transformers.

Steering Guidance for Personalized Text-to-Image Diffusion Models Scalable diffusion models with transformers

Reference 24

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Observation efd09367-5eda-40e8-9522-d19050193d35 · outbound

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

Steering Guidance for Personalized Text-to-Image Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

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Observation 6d30cccc-b6b6-421b-a54a-1dee33ee5c04 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Steering Guidance for Personalized Text-to-Image Diffusion Models Learning transferable visual models from natural language supervi- sion

Reference 26

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Observation 5b6279ab-0f52-429f-b007-1a3913555bd4 · outbound

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

Steering Guidance for Personalized Text-to-Image Diffusion Models High-resolution image syn- thesis with latent diffusion models

Reference 27

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Observation 12eaa7d0-d8ca-403e-94c1-9993e7eafd29 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Steering Guidance for Personalized Text-to-Image Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 28

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Observation c79f4b3d-97a9-4e21-a8bd-5cbbb986ce2a · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models.

Steering Guidance for Personalized Text-to-Image Diffusion Models Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models

Reference 29

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Observation e2a6cc14-139a-491a-b961-2b113d8d0751 · outbound

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

Steering Guidance for Personalized Text-to-Image Diffusion Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 30

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Observation 49771672-780e-4976-818f-0256ac3f78b9 · outbound

This paper cites In- stantbooth: Personalized text-to-image generation without test-time finetuning.

Steering Guidance for Personalized Text-to-Image Diffusion Models In- stantbooth: Personalized text-to-image generation without test-time finetuning

Reference 31

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Observation d6eae898-3b9e-4aa3-a23c-a6f75f90c408 · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

Steering Guidance for Personalized Text-to-Image Diffusion Models Freeu: Free lunch in diffusion u-net

Reference 32

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Observation 434362ec-d86e-4682-b944-495f47296824 · outbound

This paper cites Denoising Diffusion Implicit Models.

Steering Guidance for Personalized Text-to-Image Diffusion Models Denoising Diffusion Implicit Models

Reference 33

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Observation 1575806f-6cd6-4229-aeea-194aa9618c4c · outbound

This paper cites Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion.

Steering Guidance for Personalized Text-to-Image Diffusion Models Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion

Reference 34

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Observation 3b6f1fdb-bc1b-45ad-9e33-5b74b3dcb9bb · outbound

This paper cites Diffusion model align- ment using direct preference optimization.

Steering Guidance for Personalized Text-to-Image Diffusion Models Diffusion model align- ment using direct preference optimization

Reference 35

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Observation 7428b32f-07ff-410e-9b01-d9e4968fb9d6 · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

Steering Guidance for Personalized Text-to-Image Diffusion Models Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 36

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Observation a71d5a79-9075-45f7-a707-c19e61f3aa2f · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing in- ference time.

Steering Guidance for Personalized Text-to-Image Diffusion Models Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing in- ference time

Reference 37

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Observation 7d9b4735-ed2f-4033-bb2e-05f773265d42 · outbound

This paper cites Robust fine-tuning of zero-shot models.

Steering Guidance for Personalized Text-to-Image Diffusion Models Robust fine-tuning of zero-shot models

Reference 38

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Observation f2a773da-8487-4a98-8157-ba2bb38187ab · outbound

This paper cites StyleAlign: Analysis and Applications of Aligned StyleGAN Models.

Steering Guidance for Personalized Text-to-Image Diffusion Models StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Reference 39

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source=pdf_text observed=2026-08-06T10:18:02.953303Z digest=sha256:c80c4ef224f7b8ac39bf0bfaac435984fb6d0e8e7f95a0cd808efca4ef3f3b42

Observation 70602628-fcc2-4772-86a1-c5ca24f5fd4e · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Steering Guidance for Personalized Text-to-Image Diffusion Models SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 40

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Observation 03bc6434-d9c6-47eb-bd98-575a24fee16c · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Steering Guidance for Personalized Text-to-Image Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 41

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Pith citing papers

No inbound Pith citation observations are available.