Paper Citation Record · LEDGER

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.10407.

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

pith.paper-citation-record.v1
2508.10407 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:34:37.119741Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

No source-named external measurement is stored.

Outbound references

Observation ffa43e97-923a-402f-ba6e-6ab23376b60f · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Sega: Instructing text-to-image models using semantic guidance

Reference 1

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Observation 3fef9365-c598-4194-9bc0-92869c1a99e6 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2

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Observation 2de946db-6eb8-4de1-89ac-97603e301c42 · outbound

This paper cites Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation

Reference 3

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Observation 6d70a382-624b-45ed-bcec-b64c6d82ee62 · outbound

This paper cites Erasing concepts from diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Erasing concepts from diffusion models

Reference 4

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Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Unresolved cited work

Reference 5

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Observation 930cd1c2-4ea7-466a-ae80-0c0891609e72 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 6

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Observation fbcf7667-376e-428e-8e7c-aa892fa9b749 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 7

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Observation c1ce5ad5-7782-436d-9828-57e8ac6ed4cf · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 8

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Observation f9c13fd9-7a8a-40f6-a577-6a52187b5bae · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 9

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Observation d1a45544-d192-4b1d-af90-f81d6843b2d6 · outbound

This paper cites Counting Guidance for High Fidelity Text-to-Image Synthesis.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Counting Guidance for High Fidelity Text-to-Image Synthesis

Reference 10

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Observation a6b25d05-24ee-4d1a-a66e-d54f662f9f82 · outbound

This paper cites Ablating con- cepts in text-to-image diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Ablating con- cepts in text-to-image diffusion models

Reference 11

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Observation c2fcb25e-1921-4bd4-9ba7-f9cb4d69ed97 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Multi-concept customization of text- to-image diffusion

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:40.731584Z

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Observation deee982f-87f0-495d-a6ae-f334228ba45b · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Multi-concept customization of text- to-image diffusion

Reference 13

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Observation 11cb715b-12b9-41c3-b4cf-fd4094213606 · outbound

This paper cites StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T20:34:33.866014Z

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Observation f8b8f35b-c8f6-4bda-8565-172c4777004b · outbound

This paper cites Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models

Reference 15

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Observation 67466bfc-b7ba-49b2-ab1a-cb5ad8841c20 · outbound

This paper cites Compositional visual generation with composable diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Compositional visual generation with composable diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:40.569610Z

Source-reported events for the cited work

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Observation 43c942a0-8810-4ebd-a330-93c71c1df8f3 · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.Ad- vances in Neural Information Processing Systems, 36:47500– 47510, 2023.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Diffusion hyperfeatures: Searching through time and space for semantic correspondence.Ad- vances in Neural Information Processing Systems, 36:47500– 47510, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:40.437181Z

Source-reported events for the cited work

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Observation 197128b7-5c8d-40e3-b14b-e9359325b0a8 · outbound

This paper cites Open-vocabulary atten- tion maps with token optimization for semantic segmentation in diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Open-vocabulary atten- tion maps with token optimization for semantic segmentation in diffusion models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:40.236510Z

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Observation b79864eb-ee86-466c-a943-9fd8d6d82afb · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Null-text inversion for editing real im- ages using guided diffusion models

Reference 19

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Observation 147103e5-9808-4e98-b17b-f9a02f02d89b · outbound

This paper cites EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Reference 20

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Observation 9ffb8a18-e88f-4832-bdf7-863821614ca2 · outbound

This paper cites Teaching clip to count to ten.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Teaching clip to count to ten

Reference 21

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Observation 4c2a3cb0-a1b2-4a03-9153-f9667cfb572c · outbound

This paper cites Localizing object-level shape variations with text-to-image diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Localizing object-level shape variations with text-to-image diffusion models

Reference 22

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Observation 8f5b8333-06bb-4569-b922-22c75a81691f · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Learning transferable visual models from natural language supervi- sion

Reference 23

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Observation 282246ad-af67-4291-b805-65760b229459 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T20:34:35.495085Z

Source-reported events for the cited work

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Observation 3d231a6d-6014-4e75-9a78-4a1fe5124110 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T20:34:35.681057Z

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Observation cef7d738-596e-4926-9e11-9669e5ffcda6 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:39.444414Z

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Observation 8ff4efce-2f1f-417d-b81f-38607c274f03 · outbound

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

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:39.171803Z

Source-reported events for the cited work

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Observation 1ce38af9-b6e0-4f52-9e16-3ca1bb46035d · outbound

This paper cites Photorealistic text-to-image diffusion models with deep lan- guage understanding.Advances in neural information pro- cessing systems, 35:36479–36494, 2022.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Photorealistic text-to-image diffusion models with deep lan- guage understanding.Advances in neural information pro- cessing systems, 35:36479–36494, 2022

Reference 28

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Observation bc546edc-45c2-466f-b625-e8b1ea32bd12 · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Dragdiffusion: Harnessing diffusion models for interactive point-based image editing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:38.681822Z

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Observation 04698c08-49fd-4d41-b1c9-3aa0fdad8ddb · outbound

This paper cites Denoising Diffusion Implicit Models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Denoising Diffusion Implicit Models

Reference 30

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Source-reported events for the cited work

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Observation 39f8d2ad-03f5-4603-9d44-9a39b85bf936 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:38.479818Z

Source-reported events for the cited work

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Observation a18d3ae6-1dba-4b2d-9dbd-4bace9deeda0 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:38.253552Z

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Observation 5ba80ab9-1ecd-422f-ae59-b53aaaaeddab · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Sys- tems, 36, 2024.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Sys- tems, 36, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:38.047951Z

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Observation f26a9913-e117-41d3-8a9d-29362a93f65e · outbound

This paper cites Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T20:34:36.945158Z

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Observation 6203e9b2-d88c-4dda-b451-6bec9999f3bf · outbound

This paper cites Jedi: Joint- image diffusion models for finetuning-free personalized text- to-image generation.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Jedi: Joint- image diffusion models for finetuning-free personalized text- to-image generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:37.850047Z

Source-reported events for the cited work

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Observation ad189c72-3a20-47a4-92b8-238cb8287092 · outbound

This paper cites Forget-me-not: Learning to forget in text-to- image diffusion models.

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models Forget-me-not: Learning to forget in text-to- image diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:34:37.640886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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