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Paper Citation Record · LEDGER

Text-Conditioned Background Generation for Editable Multi-Layer Documents

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2512.17151.

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

pith.paper-citation-record.v1
2512.17151 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:24:49.983611Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

50 of 50 outbound references displayed

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Outbound references

Observation 131deede-5ad4-4b78-86fa-85d4d683f9c6 · outbound

This paper cites Ames, Xiangru Xu, Jessy W.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Ames, Xiangru Xu, Jessy W

Reference 1

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source=pdf_text observed=2026-08-03T15:24:42.787589Z digest=sha256:8a33b03c852e333435b6a04c7edfa12c9c078e536836d628a62dfeec906e08f5

Observation cdf072ed-86de-4181-b1c2-31c8b9ce3bb2 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Blended diffusion for text-driven editing of natural images

Reference 2

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source=pdf_text observed=2026-08-03T15:24:42.845339Z digest=sha256:ead76786de57b0049c63dcfc78fe9e4a97c5ada63efa17a2177dd9095fab55aa

Observation 73998e9e-3c6f-40ab-aac6-b310a9b5456b · outbound

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

Text-Conditioned Background Generation for Editable Multi-Layer Documents In- structpix2pix: Learning to follow image editing instructions

Reference 3

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Observation f6959836-2bd3-40de-813a-a8e208a1c74d · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 4

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source=pdf_text observed=2026-08-03T15:24:43.029581Z digest=sha256:9179f2296b662b8a2164c4f0208840365c86b7d626dc6fabe3c561056bb18afb

Observation fe08e747-cc24-46bd-997a-61a285192ac2 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10, 2023.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10, 2023

Reference 5

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source=pdf_text observed=2026-08-03T15:24:43.149785Z digest=sha256:e0df59246ec8d76b1add4ca2a45e55497ecb2fd126474e5eaf7579d9567a252f

Observation c3d88c4b-2aad-48d4-a78b-37b5b2de9ef3 · outbound

This paper cites Posta: A go-to framework for customized artistic poster gen- eration.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Posta: A go-to framework for customized artistic poster gen- eration

Reference 6

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source=pdf_text observed=2026-08-03T15:24:43.262491Z digest=sha256:90e98a1b2c22bfb3434ef2e085584ad31560093579f3002b218865c4b3ea397e

Observation 7a9f5aab-d860-40c1-b883-1aebb0dac432 · outbound

This paper cites Textdiffuser: Diffusion models as text painters.Advances in Neural Information Processing Sys- tems, 36:9353–9387, 2023.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Textdiffuser: Diffusion models as text painters.Advances in Neural Information Processing Sys- tems, 36:9353–9387, 2023

Reference 7

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source=pdf_text observed=2026-08-03T15:24:43.340077Z digest=sha256:142373b16f29175f3ffe6c46c3bb12194b5de0b460f278adf6bb1c04118a0c68

Observation f90e2a39-27f0-4eb6-8126-5e5700d29d2c · outbound

This paper cites Textdiffuser-2: Unleashing the power of language models for text rendering.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Textdiffuser-2: Unleashing the power of language models for text rendering

Reference 8

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source=pdf_text observed=2026-08-03T15:24:43.422304Z digest=sha256:369c376ae9f33c5eacfd61e6b016f6908550f56fbd9642bb834a4604c67ccfd4

Observation 70e53204-fdc6-4c47-9cac-a53281040b30 · outbound

This paper cites Training-free layout control with cross-attention guidance.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Training-free layout control with cross-attention guidance

Reference 9

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source=pdf_text observed=2026-08-03T15:24:43.582392Z digest=sha256:e4752d359cd47d5ba4934eec05103ad17ce5c5c15201db9da233f87ad67f34dc

Observation c9225ee8-d207-4128-b868-c941bcffa928 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Text-Conditioned Background Generation for Editable Multi-Layer Documents DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 10

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source=pdf_text observed=2026-08-03T15:24:43.681131Z digest=sha256:9d3452dd1e5a8a831ebfe8b3760fb53f545de2a5fa4e370c2a57487b2397904a

Observation d7381d9c-d298-446c-84a0-ed953299c896 · outbound

This paper cites FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition.

Text-Conditioned Background Generation for Editable Multi-Layer Documents FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition

Reference 11

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source=pdf_text observed=2026-08-03T15:24:43.825588Z digest=sha256:c56367a717b631395b36f9867d1b910218498634965d07e02cd2c6f65b77b8be

Observation a4316021-2923-4946-b558-d4d0ee13d619 · outbound

This paper cites LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.

Text-Conditioned Background Generation for Editable Multi-Layer Documents LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors

Reference 12

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source=pdf_text observed=2026-08-03T15:24:43.938435Z digest=sha256:c78a23846a27d9fd1ff2467b98ef5a80617120710b25dc3546cfe2d36f837332

Observation c46352bc-d703-4f39-8d30-9010852dbc9c · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Emerging Properties in Unified Multimodal Pretraining

Reference 13

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source=pdf_text observed=2026-08-03T15:24:44.046072Z digest=sha256:bfd108aa2748a707531f4ed20737a9d95e9bdf7260066bb6651bceefce715f29

Observation a744a7b2-0ef3-4b3c-a24e-e7086ffa7b3b · outbound

This paper cites Salient object-aware background genera- tion using text-guided diffusion models.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Salient object-aware background genera- tion using text-guided diffusion models

Reference 14

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source=pdf_text observed=2026-08-03T15:24:44.188172Z digest=sha256:d5b69dc0fdbac073a4a160bcd6ee228af072883339fe84aa0a4d78ba33817ded

Observation 50a20055-8832-41f4-a306-48a854f8eae7 · outbound

This paper cites A barrier function method for the optimization of trajectory functionals with constraints.

Text-Conditioned Background Generation for Editable Multi-Layer Documents A barrier function method for the optimization of trajectory functionals with constraints

Reference 15

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source=pdf_text observed=2026-08-03T15:24:44.306393Z digest=sha256:64179103f830654acfca19b4ebeb168e438db084aebafeaf0866549701459dd6

Observation 067cb5cb-8930-4b5d-9689-af15f02caf94 · outbound

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

Text-Conditioned Background Generation for Editable Multi-Layer Documents Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 16

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source=pdf_text observed=2026-08-03T15:24:44.312226Z digest=sha256:adf33c5098903bf3e912a45b84bea8502905e93ae08a4c16aaba8caaaa683ac5

Observation 5069d3de-37d7-4c7a-a3f3-b4d7b896070a · outbound

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

Text-Conditioned Background Generation for Editable Multi-Layer Documents ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 17

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source=pdf_text observed=2026-08-03T15:24:44.338397Z digest=sha256:a724d3368939e4e811b8c9bba38130d5668a4e6920646db3f8d169fe1251b8c7

Observation 9f5a110c-ec25-42f1-838d-2826168a5b34 · outbound

This paper cites Layerdiff: Exploring text-guided multi-layered composable image synthesis via layer-collaborative diffu- sion model.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Layerdiff: Exploring text-guided multi-layered composable image synthesis via layer-collaborative diffu- sion model

Reference 18

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source=pdf_text observed=2026-08-03T15:24:44.426736Z digest=sha256:4398a6907940dbba13b95b418f893804599a36fb770c5cfeacf62b77f0eeb8e9

Observation b5daab9b-44f6-4fd7-80e0-20f59a63360c · outbound

This paper cites Diffusion model-based image editing: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(6):4409–4437, 2025.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Diffusion model-based image editing: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(6):4409–4437, 2025

Reference 19

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Observation fe5ea067-0a62-4895-87d8-77c5cca46b33 · outbound

This paper cites Opencole: Towards reproducible automatic graphic design generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Opencole: Towards reproducible automatic graphic design generation

Reference 20

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source=pdf_text observed=2026-08-03T15:24:44.833461Z digest=sha256:a164f85f9636687eb0f7ef4c164bbcf2ead85fa2da647895123762369a3b98ce

Observation d51e02b7-1da3-4934-8953-3b1c2968e480 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion

Reference 21

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source=pdf_text observed=2026-08-03T15:24:44.937499Z digest=sha256:a4c7e02ee9f9066b62595337485fc253e6816d9d736b8547d4f248df96cbf8b8

Observation 4b60eea5-8e17-4a10-92dc-6aa795f3c1c7 · outbound

This paper cites Multiple gan inversion for exemplar-based image-to-image translation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Multiple gan inversion for exemplar-based image-to-image translation

Reference 22

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source=pdf_text observed=2026-08-03T15:24:45.088443Z digest=sha256:40e23b60f6956a2e283a73b8ad3ee0373262fb0e9814c85fc88a3003e3153fb2

Observation 8fc33ea0-2946-47ab-8c23-e2955c88ec14 · outbound

This paper cites Character-Centered Dialogue Generation from Scene-Level Prompts.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Character-Centered Dialogue Generation from Scene-Level Prompts

Reference 23

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source=pdf_text observed=2026-08-03T15:24:45.295351Z digest=sha256:49a5d5ce24e871ddf8ad9449176bcdbba007e7d9700315ff31b01c16d5e68f08

Observation 3f862fac-06ee-4f1b-8989-a371f1377766 · outbound

This paper cites Automatic determination of text readability over textured backgrounds for augmented reality systems.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Automatic determination of text readability over textured backgrounds for augmented reality systems

Reference 24

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source=pdf_text observed=2026-08-03T15:24:45.457749Z digest=sha256:efa187b17ed317cb4a4f87436ab5886d4def0568e5e091a3b7e8d3a5ee734838

Observation 35cecc87-e44f-4c06-b9ab-090dcb87b493 · outbound

This paper cites Relation-aware diffusion model for controllable poster layout generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Relation-aware diffusion model for controllable poster layout generation

Reference 25

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source=pdf_text observed=2026-08-03T15:24:45.620025Z digest=sha256:c2627b13350e76b251b6ac2aaabcde91906ab37321bbdde298240cdaedbe9c70

Observation 5cc7ea7b-fbc0-4309-9f88-ee4b00d9a419 · outbound

This paper cites Layerdiffusion: Layered controlled image editing with dif- fusion models.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Layerdiffusion: Layered controlled image editing with dif- fusion models

Reference 26

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source=pdf_text observed=2026-08-03T15:24:45.772310Z digest=sha256:a229fc445e654def9bd0cf24df118767c1c567bf6776cf24d025ee3bfdc32054

Observation da7cb8a7-56f8-45c6-b8e5-c19597551d71 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Gligen: Open-set grounded text-to-image generation

Reference 27

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Observation 56330e0a-39bb-4243-a496-017f1a5f18b4 · outbound

This paper cites Planning and Rendering: Towards Product Poster Generation with Diffusion Models.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Reference 28

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source=pdf_text observed=2026-08-03T15:24:46.040629Z digest=sha256:ead87b19ee53b08c6c1ae1e99e7baaf2e06209a62852fa8c0aa1b136a453c1a7

Observation a3b5509d-c132-4562-aac4-c0fee1140a05 · outbound

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

Text-Conditioned Background Generation for Editable Multi-Layer Documents Repaint: Inpainting using denoising diffusion probabilistic models

Reference 29

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source=pdf_text observed=2026-08-03T15:24:46.185236Z digest=sha256:ea6589dad73927145ea642a165abca503cf807090796f4b5dc9d0cb5bfe21918

Observation 87342198-2089-41dd-b807-6814a939f035 · outbound

This paper cites Layoutllm: Layout instruction tuning with large language models for document understanding.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Layoutllm: Layout instruction tuning with large language models for document understanding

Reference 30

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Observation a9bd597b-8b42-4a52-b962-e6c713375585 · outbound

This paper cites Hico: Hierarchical controllable diffu- sion model for layout-to-image generation.Advances in Neu- ral Information Processing Systems, 37:128886–128910,.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Hico: Hierarchical controllable diffu- sion model for layout-to-image generation.Advances in Neu- ral Information Processing Systems, 37:128886–128910,

Reference 31

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source=pdf_text observed=2026-08-03T15:24:46.639212Z digest=sha256:02b84f58a91b664bb0865bbf75ad5e98fefed78b9f1ffc73c7cc28548a33dda2

Observation 747d2cd4-449d-46f5-9cb7-95416d7ad018 · outbound

This paper cites Sawna: Space-aware text to image generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Sawna: Space-aware text to image generation

Reference 32

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source=pdf_text observed=2026-08-03T15:24:46.867225Z digest=sha256:5e5a960721deb67f74487b344a0df78283bc4b65ab454ca9d602c6102c7b1db4

Observation 54dc6382-e3cd-4704-9abb-1244bb49d95c · outbound

This paper cites Gpt-4o: Openai’s most advanced generative text and vision model.https://openai.com/index/ hello-gpt-4o/, 2024.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Gpt-4o: Openai’s most advanced generative text and vision model.https://openai.com/index/ hello-gpt-4o/, 2024

Reference 33

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source=pdf_text observed=2026-08-03T15:24:47.008397Z digest=sha256:494ba54dac49653bdbd577a2705076ffed5358713bd13fcf28346d8a4e4bc143

Observation cf19e76d-5f84-4fa5-be1f-5227b830d7f1 · outbound

This paper cites Introducing gpt-5.https://openai.com/ index/introducing-gpt-5/, 2025.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Introducing gpt-5.https://openai.com/ index/introducing-gpt-5/, 2025

Reference 34

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Observation 2226e346-02f3-45de-8b54-3b6bc96c9911 · outbound

This paper cites an unresolved cited work.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-03T15:24:47.395463Z digest=sha256:2d07509b3c38a45e356f60ce6ad8be159b7c6cdf945dd3f5d74805c58b723a3f

Observation 730e10e8-d833-4c78-9108-f841c2309a93 · outbound

This paper cites Contrast mea- sures for predicting text readability.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Contrast mea- sures for predicting text readability

Reference 36

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source=pdf_text observed=2026-08-03T15:24:47.570614Z digest=sha256:1e4c820b705028fb08a225d83589698de0fa47e648850f91c68bacde9fb93fab

Observation 9faef261-e560-4738-8664-2d51d8ce4224 · outbound

This paper cites Discriminability measures for predicting readability of text on textured backgrounds.Optics express, 6(4):81–91, 2000.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Discriminability measures for predicting readability of text on textured backgrounds.Optics express, 6(4):81–91, 2000

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27e9a6dc-5f86-4ab2-b0e3-28df43bad43b · outbound

This paper cites Spatial-Aware Latent Initialization for Controllable Image Generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Spatial-Aware Latent Initialization for Controllable Image Generation

Reference 38

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source=pdf_text observed=2026-08-03T15:24:47.931336Z digest=sha256:5ac11bc736cfcd53942fe633d3204a9b47e679c31fbdaa9101493382c9dc0a31

Observation 6cc56ff9-011e-4b29-af39-004aab0b44ad · outbound

This paper cites Web content accessi- bility guidelines 2.1.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Web content accessi- bility guidelines 2.1

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:48.159850Z digest=sha256:7875089375463cd815e78082241df15e10bf6ae652e269f66b2e7f05eee7f490

Observation 3df208ff-baa3-4e65-80e2-4b8267414622 · outbound

This paper cites Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments

Reference 40

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source=pdf_text observed=2026-08-03T15:24:48.599709Z digest=sha256:b9748ba406f29a1126b06a99bc8a3caf69e0f0a6a6c424372458990d9780fcac

Observation 0e1433d6-7eff-48a1-97c1-25a068908b76 · outbound

This paper cites Designdiffusion: High- quality text-to-design image generation with diffusion mod- els.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Designdiffusion: High- quality text-to-design image generation with diffusion mod- els

Reference 41

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no resolver link, observed 2026-08-03T15:24:48.736865Z

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source=pdf_text observed=2026-08-03T15:24:48.736865Z digest=sha256:95deb4deee28e70a3813ae7c58544fc9d2a5b7802ee7dccac74f4f172485a085

Observation 7f1a64b0-6a4c-4e2b-bf11-148913857ef9 · outbound

This paper cites Desigen: A pipeline for controllable design template generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Desigen: A pipeline for controllable design template generation

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:48.882840Z digest=sha256:d371a37061ae06b7306f0bf31a98f237c8c4656ce3bbd5a95a57f181d6f4e42a

Observation 3059c9c9-180f-4bd4-a5f8-88177fef2cdb · outbound

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

Text-Conditioned Background Generation for Editable Multi-Layer Documents Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 43

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no resolver link, observed 2026-08-03T15:24:49.027281Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.027281Z digest=sha256:aa58f61ac1bb35233f8e7bbdf376787f831a29050570dd78b5fe03bd2eaa1d8b

Observation 51226779-b2d8-44c5-9914-8f78c08ca7ca · outbound

This paper cites Mastering text-to-image diffu- sion: Recaptioning, planning, and generating with multi- modal llms.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Mastering text-to-image diffu- sion: Recaptioning, planning, and generating with multi- modal llms

Reference 44

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no resolver link, observed 2026-08-03T15:24:49.196838Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.196838Z digest=sha256:c393c40cd2bce97d619e8231393ff6e88f86b29aa19636a44e3df59de78a91c0

Observation e6d91a74-f4fc-447d-a1ae-f0816d90cda4 · outbound

This paper cites Transparent Image Layer Diffusion using Latent Transparency.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Transparent Image Layer Diffusion using Latent Transparency

Reference 45

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no resolver link, observed 2026-08-03T15:24:49.440605Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.440605Z digest=sha256:6405adee16dccd36404c5bad5c294970ab4de45a376fc58c689453fa3f456f2a

Observation 844b82df-f07b-4b27-9111-199762691dac · outbound

This paper cites CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation

Reference 46

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unresolved
no resolver link, observed 2026-08-03T15:24:49.697863Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.697863Z digest=sha256:d24fed38f993ca805e21ae0a454aeb8ffc585926f8278eabd84092d5ffd99539

Observation 2b2d97bf-5296-4bc1-9901-7fd406cad4cc · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 47

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unresolved
no resolver link, observed 2026-08-03T15:24:49.815339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:24:49.815339Z digest=sha256:d734edeff401cdad8e7ad0472a9f3482618002496558d54a422dc9c31658155a

Observation f13e40bb-108a-460f-a848-b94a00b26993 · outbound

This paper cites Human computer interaction: Legibility and contrast.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Human computer interaction: Legibility and contrast

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.900562Z digest=sha256:6487a69466375faac19131caf1400b2bddedf1c0339b7ed66691a18c80ef566b

Observation 8a30063c-c0fc-4c2b-b79b-74b2b5755f65 · outbound

This paper cites Add a cream background with snowflakes.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Add a cream background with snowflakes

Reference 49

Resolution
unresolved
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T15:24:49.983611Z digest=sha256:2ab25e4d40227597ead7b161507f35a4f85f97aa65bcf7d14d7a47c4ad7c6ac9

Observation fd523e79-7c7d-4143-8bd3-1ef2e7053855 · outbound

This paper cites an unresolved cited work.

Text-Conditioned Background Generation for Editable Multi-Layer Documents Unresolved cited work

Reference 2025

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source=pdf_text observed=2026-08-03T15:24:48.338646Z digest=sha256:87cdd8bf5fabb90c414a88e9aae98cd7c9c381275bb285ee60da7687b72ef3b2

Pith citing papers

No inbound Pith citation observations are available.