Paper Citation Record · LEDGER

Text-to-Image Alignment in Denoising-Based Models through Step Selection

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2504.17525.

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

pith.paper-citation-record.v1
2504.17525 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:42:04.111093Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 5ab7b4a0-1b24-4c1b-b8a4-c0f6bc18cad6 · outbound

This paper cites A-star: Test-time attention segregation and retention for text-to-image synthesis.

Text-to-Image Alignment in Denoising-Based Models through Step Selection A-star: Test-time attention segregation and retention for text-to-image synthesis

Reference 1

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Observation 6d3002d6-6c8b-4138-85b4-7f7aa780f4ab · outbound

This paper cites Attend-and-excite: Attention-based semantic guidance for text-to-image diffu- sion models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Attend-and-excite: Attention-based semantic guidance for text-to-image diffu- sion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.114275Z

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Observation bd363c7f-2116-419c-90ee-98d4eba56b0f · outbound

This paper cites Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Pixart- α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,

Reference 4

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Observation 3f668409-2eaa-4f7d-a0b7-8edffb70c318 · outbound

This paper cites While improvements may be possible, further research is required to identify optimal hyperparameters.

Text-to-Image Alignment in Denoising-Based Models through Step Selection While improvements may be possible, further research is required to identify optimal hyperparameters

Reference 5

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Observation c6767a6d-ec20-4069-b967-d140af4f1572 · outbound

This paper cites Ilvr: Condi- tioning method for denoising diffusion probabilistic models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Ilvr: Condi- tioning method for denoising diffusion probabilistic models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.087420Z

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Observation a597db35-672c-4596-b701-4a1e350c9a2e · outbound

This paper cites Exploiting the Signal-Leak Bias in Diffusion Models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Exploiting the Signal-Leak Bias in Diffusion Models

Reference 9

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Observation 79bd7936-4a12-42ab-a1f1-08463d373761 · outbound

This paper cites Training- free structured diffusion guidance for compositional text- to-image synthesis,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Training- free structured diffusion guidance for compositional text- to-image synthesis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.049287Z

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Observation 71e7588a-7604-449c-9198-7e38619dd751 · outbound

This paper cites Fleiss et al.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Fleiss et al

Reference 11

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Observation ec31a6ff-98c4-4574-8344-b58b39a45f54 · outbound

This paper cites an unresolved cited work.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Unresolved cited work

Reference 12

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Observation d818f417-804a-48f6-a5b7-c2369db70acf · outbound

This paper cites Signal dynamics in diffusion models: En- hancing text-to-image alignment through step selection,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Signal dynamics in diffusion models: En- hancing text-to-image alignment through step selection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.019765Z

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Observation bb017783-2f27-4bc0-b5f9-12fb4589e7d1 · outbound

This paper cites Prompt-to-prompt image editing with cross attention con- trol,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Prompt-to-prompt image editing with cross attention con- trol,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.999321Z

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Observation f7bc0201-0b48-4398-8bb5-1f983e2c0405 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Classifier-Free Diffusion Guidance

Reference 16

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Observation 18498b87-1b4e-4f84-8970-d37f4e95bc1a · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Denoising Diffusion Probabilistic Models

Reference 17

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Observation 602e508f-663b-438d-a2f3-1e82a78fd3d9 · outbound

This paper cites Kingma and Jimmy Ba.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Kingma and Jimmy Ba

Reference 19

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Source-reported events for the cited work

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Observation ae27a167-8571-4d5c-9401-a79483548cdd · outbound

This paper cites Richard Landis and Gary G.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Richard Landis and Gary G

Reference 21

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Observation 26f4833c-41be-46a5-b605-2568f49da848 · outbound

This paper cites Divide & bind your attention for im- proved generative semantic nursing.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Divide & bind your attention for im- proved generative semantic nursing

Reference 23

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Observation 0c4cde37-8d20-49d2-9bb5-06f24e87f7cf · outbound

This paper cites Lawrence Zitnick.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Lawrence Zitnick

Reference 24

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Observation f7dab736-88ac-4bfc-ab07-331cdceedbb3 · outbound

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Text-to-Image Alignment in Denoising-Based Models through Step Selection Unresolved cited work

Reference 26

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Observation 4dba8fa5-9330-4db4-957b-0d2514d3430a · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochas- tic differential equations.

Text-to-Image Alignment in Denoising-Based Models through Step Selection SDEdit: Guided image synthesis and editing with stochas- tic differential equations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.903671Z

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Observation 1c34649a-57df-48d1-a1bc-aae00c996cb7 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 28

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Observation bec9d93c-f3bf-41f2-a533-ddc047fb8b70 · outbound

This paper cites Teaching clip to count to ten.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Teaching clip to count to ten

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.893243Z

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Observation 04aaf966-5db7-481b-8a45-1da8bf4bc239 · outbound

This paper cites Understanding the latent space of diffusion models through the lens of riemannian geometry.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Understanding the latent space of diffusion models through the lens of riemannian geometry

Reference 30

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Observation c3a51c59-69a3-44c1-b7bd-11cbd0289dc0 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Scalable Diffusion Models with Transformers

Reference 31

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This paper cites Sdxl: Improving latent diffu- sion models for high-resolution image synthesis,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Sdxl: Improving latent diffu- sion models for high-resolution image synthesis,

Reference 32

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Observation d9a6e444-5863-4e4a-b9a6-c5b3c7df82f4 · outbound

This paper cites Learning trans- ferable visual models from natural language supervision,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Learning trans- ferable visual models from natural language supervision,

Reference 33

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Observation 8b25cda6-12f7-4c50-8e6f-31aeb9a269b8 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 34

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Observation ee57f05f-7803-40bb-a3ca-0ad23ee0f322 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 35

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Observation 304bfb3f-15a6-49ba-b1ba-ecfc6fdf6909 · outbound

This paper cites Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 36

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Observation 3bbac828-79bc-4ad8-bad6-9b42eb70d892 · outbound

This paper cites Generative modelling with inverse heat dissipation.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Generative modelling with inverse heat dissipation

Reference 37

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Observation 37d6201a-6b1b-4c8f-8765-7e1cb507fc2a · outbound

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

Text-to-Image Alignment in Denoising-Based Models through Step Selection High- resolution image synthesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.827082Z

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Observation 8170c227-ccae-4352-940e-da8dfb364fd8 · outbound

This paper cites Fleet, and Mohammad Norouzi.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Fleet, and Mohammad Norouzi

Reference 39

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Observation fa7de1bb-53b8-4b71-b7a1-b8ab68d229ca · outbound

This paper cites Laion-5b: An open large- scale dataset for training next generation image-text models,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Laion-5b: An open large- scale dataset for training next generation image-text models,

Reference 40

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Observation 5116c87f-7fd3-4b18-84fe-cfea6873e777 · outbound

This paper cites A picture is worth a thousand words: Principled recaptioning improves image generation,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection A picture is worth a thousand words: Principled recaptioning improves image generation,

Reference 41

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Observation f83b8276-509e-4a1b-93ce-b76421b246f8 · outbound

This paper cites Spatial-aware latent initialization for control- lable image generation,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Spatial-aware latent initialization for control- lable image generation,

Reference 42

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Observation cf224006-bea0-4305-8ce4-803898fdbb18 · outbound

This paper cites What the DAAM: Interpreting stable diffusion using cross attention.

Text-to-Image Alignment in Denoising-Based Models through Step Selection What the DAAM: Interpreting stable diffusion using cross attention

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.773700Z

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Observation 83be4b21-5aac-4747-b806-32f9f653d2a1 · outbound

This paper cites zero-shot.

Text-to-Image Alignment in Denoising-Based Models through Step Selection zero-shot

Reference 44

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Observation 0ab3065c-10de-4fcd-865f-c6dcd033156e · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 45

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Observation 5417e8dc-26b6-43e6-a546-caf9964d2117 · outbound

This paper cites Freedom: Training-free energy-guided conditional diffusion model.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Freedom: Training-free energy-guided conditional diffusion model

Reference 46

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Observation 6e24ea95-4b68-4524-9e8a-118f701ce33d · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it? In The Eleventh International Conference on Learning Representations ,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection When and why vision-language models behave like bags-of-words, and what to do about it? In The Eleventh International Conference on Learning Representations ,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.735050Z

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Observation a71674ce-e733-4510-8620-03c523164ad7 · outbound

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

Text-to-Image Alignment in Denoising-Based Models through Step Selection Adding conditional control to text-to-image diffusion models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.724812Z

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Observation 91517407-7cae-4d7f-9d7a-caf327e34bb4 · outbound

This paper cites 11 A.1 Text-to-Image Methods Setup For Stable Diffusion 1.4 We provide here some implementation details about Stable Diffusion 1.4.

Text-to-Image Alignment in Denoising-Based Models through Step Selection 11 A.1 Text-to-Image Methods Setup For Stable Diffusion 1.4 We provide here some implementation details about Stable Diffusion 1.4

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.712406Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81727da3-926d-4e4c-ad7e-12af6d30a3da · outbound

This paper cites The model learns to transport points from one distribution to another.

Text-to-Image Alignment in Denoising-Based Models through Step Selection The model learns to transport points from one distribution to another

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.690359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e875081-d86f-4022-a227-3b76e4ec0d0a · outbound

This paper cites For subject tokens that span multiple tokens (e.g., due to subword tokenization), we average their respective attention maps.

Text-to-Image Alignment in Denoising-Based Models through Step Selection For subject tokens that span multiple tokens (e.g., due to subword tokenization), we average their respective attention maps

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.678498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43f9a52d-446d-444f-9d20-f93d402dc3db · outbound

This paper cites a photo of det(o1)o1 anddet(o2)o2.

Text-to-Image Alignment in Denoising-Based Models through Step Selection a photo of det(o1)o1 anddet(o2)o2

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.667690Z

Source-reported events for the cited work

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Observation 4147eca8-9dc8-4df9-9dd8-e7a605ce6a8f · outbound

This paper cites Tiam - a metric for evaluating alignment in text-to-image generation.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Tiam - a metric for evaluating alignment in text-to-image generation

Reference 1971

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.029434Z

Source-reported events for the cited work

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Observation 5e8a9ac7-3e01-4a53-8036-1da17a62a3b7 · outbound

This paper cites Blip: Bootstrapping language-image pre- training for unified vision-language understanding and gen- eration.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Blip: Bootstrapping language-image pre- training for unified vision-language understanding and gen- eration

Reference 1977

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.953898Z

Source-reported events for the cited work

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Observation 02360b9b-dfdb-4cd3-b952-4f351516d716 · outbound

This paper cites [Lin et al., 2024] Shanchuan Lin, Bingchen Liu, Jiashi Li, and Xiao Yang.

Text-to-Image Alignment in Denoising-Based Models through Step Selection [Lin et al., 2024] Shanchuan Lin, Bingchen Liu, Jiashi Li, and Xiao Yang

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.925082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2e1ad9f-3a6e-4a75-9ceb-726d72f879c4 · outbound

This paper cites Diffusion models already have a semantic latent space,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Diffusion models already have a semantic latent space,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.973310Z

Source-reported events for the cited work

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Observation a0060848-6bb8-46c5-b548-cc41aeb7be03 · outbound

This paper cites Yolo by ultralytics,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Yolo by ultralytics,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:25.989450Z

Source-reported events for the cited work

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Observation 603a38b1-d893-470d-9e3d-a974a1c1d5c7 · outbound

This paper cites Perception prioritized training of diffusion models.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Perception prioritized training of diffusion models

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.077524Z

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Observation fd10c6d9-dda6-4aef-a527-95402133f937 · outbound

This paper cites Scal- ing rectified flow transformers for high-resolution image synthesis,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Scal- ing rectified flow transformers for high-resolution image synthesis,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.068045Z

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Observation 6eca2714-fe4c-4b3d-ad36-811ae536e729 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Text-to-Image Alignment in Denoising-Based Models through Step Selection eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2023

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Observation 1e8c1210-fe91-450d-9048-0082b2bdd389 · outbound

This paper cites On the importance of noise schedul- ing for diffusion models,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection On the importance of noise schedul- ing for diffusion models,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.096168Z

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Observation 7f6c983b-374e-4e53-802d-0cefae0e9d4c · outbound

This paper cites Initno: Boosting text-to-image diffusion models via initial noise optimiza- tion,.

Text-to-Image Alignment in Denoising-Based Models through Step Selection Initno: Boosting text-to-image diffusion models via initial noise optimiza- tion,

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:42:26.009188Z

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Pith citing papers

Observation c660c21f-e36c-4b9e-b4e7-a67efcf78104 · inbound

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time cites this paper.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Text-to-Image Alignment in Denoising-Based Models through Step Selection

Reference 16

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