Paper Citation Record · LEDGER

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2505.04718.

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

pith.paper-citation-record.v1
2505.04718 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:38.452369Z

measured 52 of 52 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T01:52:22.693057Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:53:51.049313Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy20
unresolved31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab05bc77-ef47-4b93-b816-2ef143fd8013 · outbound

This paper cites Variational transformer networks for layout generation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Variational transformer networks for layout generation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f025d5-9ee2-4cf9-b875-8d030059614e · outbound

This paper cites Make It Count: Text-to-Image Generation with an Accurate Number of Objects.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Make It Count: Text-to-Image Generation with an Accurate Number of Objects

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:38.208964Z

Source-reported events for the cited work

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Observation dfd990db-fc53-47e2-b21e-0aa89b8fae5c · outbound

This paper cites Video generation models as world sim- ulators.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Video generation models as world sim- ulators

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.266995Z

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

Observation ee4a9a46-accb-4812-8043-5deb43fafb1f · outbound

This paper cites Lay- outdm: Transformer-based diffusion model for layout gener- ation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Lay- outdm: Transformer-based diffusion model for layout gener- ation

Reference 4

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Source-reported events for the cited work

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Observation 437da4cd-0d24-49c0-90bd-9c6a4c73ff74 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b256f73-4775-4424-bdaa-6b7cf37349fd · outbound

This paper cites Diffu- siondet: Diffusion model for object detection, 2023.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Diffu- siondet: Diffusion model for object detection, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.241541Z

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

Observation 08ce8479-1981-48db-91d4-d17ad2307024 · outbound

This paper cites On the importance of noise scheduling for diffu- sion models, 2023.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers On the importance of noise scheduling for diffu- sion models, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.225370Z

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Observation 35f37455-52c7-446d-a94b-5a81b5cafecb · outbound

This paper cites an unresolved cited work.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation b8aeecdd-d1c5-4fbf-a6fa-a23b381416f3 · outbound

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

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 9

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Source-reported events for the cited work

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Observation 87cf59a4-c901-4836-ac0d-cf0e197d65c3 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 10

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Source-reported events for the cited work

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Observation 959cd3db-7e64-4f4a-9227-09087c1508eb · outbound

This paper cites The llama 3 herd of models, 2024.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers The llama 3 herd of models, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.183863Z

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Observation 6cb7c742-edfe-4324-8c28-61984f90fa25 · outbound

This paper cites LayoutGPT: Compositional Visual Planning and Generation with Large Language Models.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 12

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Source-reported events for the cited work

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Observation 025b527c-4732-4851-b3c5-73f53e14cecd · outbound

This paper cites Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following

Reference 13

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Source-reported events for the cited work

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Observation 68eda13f-a5c8-4dc8-8849-f1176a38124f · outbound

This paper cites Llm blueprint: Enabling text-to-image generation with complex and detailed prompts.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Llm blueprint: Enabling text-to-image generation with complex and detailed prompts

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.168838Z

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Observation 3f1e16b8-4846-4d23-9a5a-2629b5e599ca · outbound

This paper cites Layout- transformer: Layout generation and completion with self- attention.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Layout- transformer: Layout generation and completion with self- attention

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.153178Z

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.

Observation 8bbad877-46c0-489a-bf38-139611b41df5 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium, 2018.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Gans trained by a two time-scale update rule converge to a local nash equilib- rium, 2018

Reference 16

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Source-reported events for the cited work

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Observation 85be1090-a2f4-4092-9b0e-73900d40e359 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Classifier-Free Diffusion Guidance

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c71b36a-fe7b-4442-846b-b3668789956f · outbound

This paper cites Denoising diffu- sion probabilistic models, 2020.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Denoising diffu- sion probabilistic models, 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:38.296146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1ad611-902a-4646-8d00-a5012fb604db · outbound

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

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Lora: Low-rank adaptation of large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:38.300789Z

Source-reported events for the cited work

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Observation 7b2cf666-4e64-4cb6-bb28-ea9c5d109dea · outbound

This paper cites Layoutdm: Discrete diffusion model for controllable layout generation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Layoutdm: Discrete diffusion model for controllable layout generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.107132Z

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Observation 6254e84b-9faf-43fe-aec9-fc57534d5ef6 · outbound

This paper cites Layoutformer++: Con- ditional graphic layout generation via constraint serializa- tion and decoding space restriction.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Layoutformer++: Con- ditional graphic layout generation via constraint serializa- tion and decoding space restriction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.091815Z

Source-reported events for the cited work

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Observation 99a83cbd-cf54-46bd-a5ea-ab56a6ed6bf9 · outbound

This paper cites Layoutvae: Stochastic scene layout generation from a description set.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Layoutvae: Stochastic scene layout generation from a description set

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.076809Z

Source-reported events for the cited work

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Observation 87c963f0-3ea1-433b-8a61-b871b0878a6f · outbound

This paper cites Kingma and Jimmy Ba.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Kingma and Jimmy Ba

Reference 23

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Source-reported events for the cited work

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Observation cf962fdd-7ca0-40f2-8988-28cc530fabfd · outbound

This paper cites Blt: Bidirectional layout transformer for controllable layout generation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Blt: Bidirectional layout transformer for controllable layout generation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.052643Z

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Observation 39a5645f-caf5-4157-97dc-eb20f6198c10 · outbound

This paper cites LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators

Reference 25

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Observation 86711fb7-c079-42bb-8b58-e4a876177631 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation, 2023.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Gligen: Open-set grounded text-to-image generation, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.037712Z

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.

Observation 3d184ad4-73be-4520-97db-52a2d9d91c9a · outbound

This paper cites LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Reference 27

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Source-reported events for the cited work

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Observation b51936e1-3142-426f-96ed-1dec26c1a4a9 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Lawrence Zitnick, and Piotr Doll ´ar

Reference 28

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Source-reported events for the cited work

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Observation c33c1017-5e2d-4d1b-b778-184a3636e032 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 29

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Observation c568586f-4e03-4164-a19c-636f61a5f14a · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models, 2022.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Repaint: Inpainting using denoising diffusion probabilistic models, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:39.011940Z

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Observation 011bbae8-45ff-4fd6-825e-6de4ecc1cbd4 · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Dit-3d: Exploring plain diffusion transformers for 3d shape generation

Reference 31

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Observation e1f24a40-68fe-47ae-a623-2dc4a2fea878 · outbound

This paper cites Hall, Daniel Cer, and Yinfei Yang.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Hall, Daniel Cer, and Yinfei Yang

Reference 32

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Observation 62f398a6-d6af-48bc-9b02-d5c568038c3f · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 33

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Observation ca741df8-eb04-4b3c-885a-89f00b78a9de · outbound

This paper cites Improved denoising diffusion probabilistic models.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Improved denoising diffusion probabilistic models

Reference 34

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This paper cites Training language models to follow instructions with human feedback.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Training language models to follow instructions with human feedback

Reference 35

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Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Scalable diffusion models with transformers

Reference 36

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This paper cites Kosmos-2: Grounding multimodal large language models to the world, 2023.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Kosmos-2: Grounding multimodal large language models to the world, 2023

Reference 37

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Observation 987167ec-b7f2-4967-9345-d9e9278b1705 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer, 2017.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Film: Visual reasoning with a general conditioning layer, 2017

Reference 38

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Source-reported events for the cited work

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Observation 0eeffd79-51d9-4ade-8cba-d6c9685f0d6b · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Learning transferable visual models from natural language supervision, 2021

Reference 39

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Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Unresolved cited work

Reference 40

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Observation e2bf764d-0a03-4618-b7f7-a27f33812f68 · outbound

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Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Zero-shot text-to-image generation

Reference 41

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Observation 3f49e8b3-315f-40f4-ac82-1e5ea86e9325 · outbound

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Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 42

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Observation befaa72b-17e0-4b16-b82d-6d5ba50b13f4 · outbound

This paper cites Instancediffusion: Instance- level control for image generation.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Instancediffusion: Instance- level control for image generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.872034Z

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Observation 3ba31165-87af-4e78-bdaf-e4291fdac01f · outbound

This paper cites Instancediffusion: Instance-level control for image generation, 2024.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Instancediffusion: Instance-level control for image generation, 2024

Reference 44

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Observation 193bd8e5-991c-4991-8756-f86a6d9336f5 · outbound

This paper cites Dolfin: Diffusion layout transformers without autoencoder.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Dolfin: Diffusion layout transformers without autoencoder

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.846990Z

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Observation d1135d29-28ce-4ac6-97ef-1da844ca2e79 · outbound

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

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.831495Z

Source-reported events for the cited work

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Observation 08dc7cc5-18ab-4555-9ffb-37f2c2dbb920 · outbound

This paper cites Bayesian diffusion models for 3d shape reconstruction.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Bayesian diffusion models for 3d shape reconstruction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.816276Z

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.

Observation 6c14d652-b138-47c1-afb5-6005c71b14a8 · outbound

This paper cites Raphael: Text-to-image generation via large mixture of diffusion paths.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Raphael: Text-to-image generation via large mixture of diffusion paths

Reference 48

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Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Reco: Region-controlled text-to-image genera- tion

Reference 49

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Observation c49af53e-9070-489e-8196-ef4a2cdaabbb · outbound

This paper cites Layoutdiffusion: Improving graphic lay- out generation by discrete diffusion probabilistic models.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Layoutdiffusion: Improving graphic lay- out generation by discrete diffusion probabilistic models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.780435Z

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.

Observation 2c261cf9-aad9-4ea7-b042-d19100ea16f7 · outbound

This paper cites phrase1": count1,.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers phrase1": count1,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:27:38.764360Z

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

Observation 6bfd060f-ce54-46e8-9bb3-59890602e04d · inbound

BIM-Native Tokenization for Constraint-Aware Room Layout Synthesis cites this paper.

BIM-Native Tokenization for Constraint-Aware Room Layout Synthesis Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:53:51.051161Z

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.