Paper Citation Record · LEDGER

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.18192.

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

pith.paper-citation-record.v1
2507.18192 v2

Coverage vector

measured 42 of 42 reference resolution

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measured 42 of 42 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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 97670011-d2a1-4f19-8ff8-b0b9a953d733 · outbound

This paper cites Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection

Reference 1

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Observation b6e78cbf-552b-4a2e-b9c6-989f9eef7ba4 · outbound

This paper cites Weak-to-Strong Diffusion with Reflection.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Weak-to-Strong Diffusion with Reflection

Reference 2

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Observation b4223ffb-e4f2-4759-be7c-f295166f19f1 · outbound

This paper cites Universal guidance for diffusion models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Universal guidance for diffusion models

Reference 3

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Observation 7aa4f38f-9406-4665-a353-3d59d0b0cb9b · outbound

This paper cites an unresolved cited work.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Unresolved cited work

Reference 4

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Observation c126d534-b30d-41ea-b98f-6110d03fe6e1 · outbound

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

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Scal- ing rectified flow Transformers for high-resolution image synthesis

Reference 5

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Observation d436d685-da64-48bd-89f6-e965255e28c7 · outbound

This paper cites CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation

Reference 6

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Observation 6bf5f7f6-0889-49bc-8020-a4aee61d03db · outbound

This paper cites Classifier-Free Diffusion Guidance.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Classifier-Free Diffusion Guidance

Reference 7

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Observation c571b6b5-b329-4d74-89ad-38ba91405111 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 8

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Observation 40f6845b-9258-42b9-b7b5-c66ac1680d47 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Elucidating the design space of diffusion-based generative models

Reference 9

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Observation 0bdf3a4e-a635-479f-95a0-d8577cd4705e · outbound

This paper cites Pick-a-Pic: An open dataset of user preferences for text-to-image generation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Pick-a-Pic: An open dataset of user preferences for text-to-image generation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.484927Z

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Observation 8b94a9e3-9259-4ef9-a55c-865fbf8f019c · outbound

This paper cites FLUX.1-dev.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance FLUX.1-dev

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.476181Z

Source-reported events for the cited work

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Observation 6fc29397-f59f-42a5-9856-3666b30bff1b · outbound

This paper cites One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation

Reference 12

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Observation ef2d033f-589a-490f-b0d9-458d3502f907 · outbound

This paper cites SnapFusion: Text- to-image diffusion model on mobile devices within two sec- onds.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance SnapFusion: Text- to-image diffusion model on mobile devices within two sec- onds

Reference 13

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Observation ec83d25d-e2b0-42bb-aa95-64c9caf3d931 · outbound

This paper cites Flow matching for generative mod- eling.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Flow matching for generative mod- eling

Reference 14

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Observation 6517bf0e-dee0-4de4-80b2-c5568d23a279 · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Pseudo numerical methods for diffusion models on manifolds

Reference 15

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Observation c4c0c3e5-b17d-40aa-8fbf-3f78c0b06a74 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 16

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Observation 5dba29d1-9b07-4dd4-bcae-74c80e4c2d98 · outbound

This paper cites Decoupled weight de- cay regularization.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Decoupled weight de- cay regularization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.431701Z

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Observation 5019ef8b-1c8f-4c81-9d4e-9d917682332b · outbound

This paper cites RePaint: Inpainting using denoising diffusion probabilistic models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance RePaint: Inpainting using denoising diffusion probabilistic models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.422985Z

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Observation 3882c6ca-faae-4f33-8599-9a73085484d0 · outbound

This paper cites Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices

Reference 19

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Observation ea4b26c3-9fde-4e91-b5f8-f748e9a749d6 · outbound

This paper cites On distillation of guided diffusion models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance On distillation of guided diffusion models

Reference 20

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Observation fd0bd5ac-2844-40e4-9d5f-068cbe5fa046 · outbound

This paper cites DALL·E 2, 2022.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance DALL·E 2, 2022

Reference 21

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Observation 2a78d35f-8120-4555-a32c-58ebd5a34a90 · outbound

This paper cites Scalable diffusion models with Transformers.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Scalable diffusion models with Transformers

Reference 22

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Observation 2b3361c7-7b11-46b1-a75f-4c3858be6de6 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Learn- ing transferable visual models from natural language super- vision

Reference 23

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Observation aa57a9d9-0b59-4f49-bc63-a95458ec92fc · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Progressive distillation for fast sampling of diffusion models

Reference 24

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Observation 392f17d2-097a-4f0d-9ac3-cda3f55ec339 · outbound

This paper cites Fast high- resolution image synthesis with latent adversarial diffusion distillation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Fast high- resolution image synthesis with latent adversarial diffusion distillation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.368972Z

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Observation 5553957d-3254-4282-b28c-213606c24ef9 · outbound

This paper cites Adversarial diffusion distillation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Adversarial diffusion distillation

Reference 26

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Observation d78f17f8-3e74-43fe-9863-5edc385e3649 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 27

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Observation 44068cf1-5aa0-4bb0-9f26-eda688888608 · outbound

This paper cites Denois- ing diffusion implicit models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Denois- ing diffusion implicit models

Reference 28

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Observation 06bfa39d-1b71-4c49-9809-44c2150bc946 · outbound

This paper cites Consistency models.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Consistency models

Reference 29

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Observation 0996f9e9-c25c-4aee-8f7d-6b7174f5ef65 · outbound

This paper cites Diffusion Models without Classifier-free Guidance.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Diffusion Models without Classifier-free Guidance

Reference 30

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This paper cites Visualizing data using t-SNE.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Visualizing data using t-SNE

Reference 31

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This paper cites Atten- tion is all you need.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Atten- tion is all you need

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.317620Z

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Observation 9d6942ff-9c3d-4d76-99e7-57c2884e27fe · outbound

This paper cites Tune-A- Video: One-shot tuning of image diffusion models for text- to-video generation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Tune-A- Video: One-shot tuning of image diffusion models for text- to-video generation

Reference 33

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Observation dee1b462-390f-4c7c-8f95-7d4f8ef16707 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 34

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TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance ImageRe- ward: Learning and evaluating human preferences for text- to-image generation

Reference 35

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Observation 667f5924-7f93-4ca9-86f9-2b7b9223cabb · outbound

This paper cites One-step Diffusion Models with $f$-Divergence Distribution Matching.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance One-step Diffusion Models with $f$-Divergence Distribution Matching

Reference 36

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This paper cites Freeman, and Taesung Park.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Freeman, and Taesung Park

Reference 37

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Observation 28e49ba7-7d96-4907-8f61-9fc30040b632 · outbound

This paper cites Diffusion Models Are Innate One-Step Generators.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Diffusion Models Are Innate One-Step Generators

Reference 38

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This paper cites Fast sampling of dif- fusion models via operator learning.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Fast sampling of dif- fusion models via operator learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.280625Z

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Observation c1171090-b3da-45c5-9433-55d338af79e3 · outbound

This paper cites DPM- Solver-v3: Improved diffusion ode solver with empirical model statistics.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance DPM- Solver-v3: Improved diffusion ode solver with empirical model statistics

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.271566Z

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Observation b0c6931b-5465-4515-9df4-de3f346a4e7a · outbound

This paper cites Score identity Distillation: Exponentially fast distillation of pretrained diffusion mod- els for one-step generation.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance Score identity Distillation: Exponentially fast distillation of pretrained diffusion mod- els for one-step generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:44:24.261787Z

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Observation 5687034f-2d24-4a1c-997a-0529b4a333c2 · outbound

This paper cites cold fire.

TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance cold fire

Reference 42

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Source-reported events for the cited work

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Pith citing papers

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