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Paper Citation Record · LEDGER

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

As of 23 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 3 inbound Pith citation observations for arXiv:2508.18597.

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

pith.paper-citation-record.v1
2508.18597 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:00:07.259723Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:59:50.229390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:48:23.371343Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy36
  • unresolved22
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5fbc877-fc65-4001-be44-3ef9bad36cb2 · outbound

This paper cites Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases

Reference 1

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no resolver link, observed 2026-08-15T17:00:07.018329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.018329Z digest=sha256:9037685f726ff3f8fe8f6bbc0b9a99f659d6d122a221b629a92b05044429349b

Observation 3c42617f-ff7d-4044-8cbc-0f6292b6d7a1 · outbound

This paper cites Demystifying MMD GANs.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Demystifying MMD GANs

Reference 2

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raw_fallback, observed 2026-08-15T17:00:08.209926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.023278Z digest=sha256:82fbc2d5cbbeaefab27163177414f72dacca9b300a20a50d2190091ac824aba0

Observation 02c3469d-4161-4e36-a593-a9644a705389 · outbound

This paper cites I-design: Personalized LLM interior designer.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis I-design: Personalized LLM interior designer

Reference 3

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no resolver link, observed 2026-08-15T17:00:07.027459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.027459Z digest=sha256:b09371e1897e9d11488cc85c978aeee6ca1ffcc3931aaf12992d029477693a92

Observation 195eef4b-1118-4319-a7ab-9aea547c43c5 · outbound

This paper cites Lay- outDM: Transformer-based diffusion model for layout gen- eration.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Lay- outDM: Transformer-based diffusion model for layout gen- eration

Reference 4

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raw_fallback, observed 2026-08-15T17:00:08.197144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.031522Z digest=sha256:77d0be92ded042055da4ca0e172cd25cbaca6417eb966d6eedcfe09a3e326f5c

Observation 51ad63c8-9189-42b1-a74a-fd42e7076c89 · outbound

This paper cites Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.035269Z digest=sha256:74635312fcb9c5b902ce61578038512beee7d683c7afcb86ba726c8c7a49479f

Observation 71f858c9-2900-4403-8df8-be60803b28ba · outbound

This paper cites ProcTHOR: Large-scale embodied AI using procedural generation.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis ProcTHOR: Large-scale embodied AI using procedural generation

Reference 6

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raw_fallback, observed 2026-08-15T17:00:08.184214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.039402Z digest=sha256:aa65f72634f663fbcd10478121cff78b34d9ab3fb73080cfeeddf14aec20443b

Observation 188ae336-2665-4200-8a32-4b11230e133c · outbound

This paper cites BlenderProc2: A procedural pipeline for photorealistic ren- dering.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis BlenderProc2: A procedural pipeline for photorealistic ren- dering

Reference 7

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raw_fallback, observed 2026-08-15T17:00:08.171309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.043716Z digest=sha256:04e3d6894f054771d29daa6b279e83f4d4c1ad1d329cfb37a493351a00b791aa

Observation c7088e31-c710-430b-926f-ad90e151fd48 · outbound

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

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.047636Z digest=sha256:d2ce1fbf1db6de5f510d29dfbb5cbbe283792adb50f648da1996d5f05ceb7d80

Observation e6035715-95d0-48c5-9cd8-3e08fcbe900c · outbound

This paper cites Example-based synthesis of 3D object arrangements.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Example-based synthesis of 3D object arrangements

Reference 9

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raw_fallback, observed 2026-08-15T17:00:08.155923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.051515Z digest=sha256:fa0e95dca888157cbba7222d76c2b681b0152c356aaf35021897bcdecbf8b000

Observation 074c284a-87e3-40f7-aab0-1a3b30fbf821 · outbound

This paper cites 3D-Front: 3D furnished rooms with layouts and semantics.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis 3D-Front: 3D furnished rooms with layouts and semantics

Reference 10

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raw_fallback, observed 2026-08-15T17:00:08.142782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.055844Z digest=sha256:f5a15cfc505b2f6ea06adcfd42a7e687912292582e770a0fe4d054656cf721c9

Observation b9e8197d-1186-4d96-a2f3-a38733faf628 · outbound

This paper cites GraphDreamer: Compositional 3D scene synthesis from scene graphs, 2023.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis GraphDreamer: Compositional 3D scene synthesis from scene graphs, 2023

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.060295Z digest=sha256:4f8325baa70049c771928f888e93fcf53841159be23129680e1e55b7e1222acf

Observation a483048c-34af-4301-9a3c-c46aeca7f8d6 · outbound

This paper cites SceneHGN: Hierarchical graph net- works for 3D indoor scene generation with fine-grained ge- ometry.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis SceneHGN: Hierarchical graph net- works for 3D indoor scene generation with fine-grained ge- ometry

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.064396Z digest=sha256:03b644c75e77faa0d4ea5e9c6d332863d32efad0937ecaaa2a7bbbdc565607f0

Observation c989f9f7-3313-472c-90f7-13738cc6decd · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local Nash equi- librium.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis GANs trained by a two time-scale update rule converge to a local Nash equi- librium

Reference 13

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raw_fallback, observed 2026-08-15T17:00:08.104042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.068665Z digest=sha256:350d4638672daf3ddc5a20fe9069e75c3a1b601b7b60b8764423676136f46c0f

Observation db9b2a04-8b9d-4148-8a3e-09061a89fa82 · outbound

This paper cites Denoising diffu- sion probabilistic models.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Denoising diffu- sion probabilistic models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.072386Z digest=sha256:84a980c12dc2b6cf7570ece479bb60705687918e5470ac1b15d83e1b1061820c

Observation e35bc2e6-518a-4157-a444-a4ce51c770e1 · outbound

This paper cites Argmax flows and multinomial dif- fusion: Learning categorical distributions.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Argmax flows and multinomial dif- fusion: Learning categorical distributions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:08.083233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.076115Z digest=sha256:a85bc520edc23b7f6226d3c2314606c6b346e6b7fade98d2bb7ade828964b0b9

Observation 448ed98e-0d0d-4681-a5e7-1bd6b7a6b61f · outbound

This paper cites Mixed Diffusion for 3D Indoor Scene Synthesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Mixed Diffusion for 3D Indoor Scene Synthesis

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.079860Z digest=sha256:68ce86c66c752d25c4025f59c56cdd3c5bcbb7737dd787479412b0de092985a1

Observation a633fa93-845d-428b-b5d5-e8d95a69a5a4 · outbound

This paper cites SceneCraft: An LLM agent for synthesizing 3D scene as Blender code.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis SceneCraft: An LLM agent for synthesizing 3D scene as Blender code

Reference 17

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raw_fallback, observed 2026-08-15T17:00:08.067276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.084013Z digest=sha256:dadf12ca696a87aad81b8bfbfd7a3c5f5265038c368c0fa61df921a326d97068

Observation 5164340d-9e7f-4c24-b2c2-6ba818794894 · outbound

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

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis LayoutDM: Discrete diffusion model for controllable layout generation

Reference 18

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raw_fallback, observed 2026-08-15T17:00:08.055058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.087561Z digest=sha256:2722c9f1467fd22a1a8b72eeed11f8c3f5d603e64883f71493c31735d88f0fd9

Observation edd6b0ad-55f6-4f6e-8513-838494d07d0e · outbound

This paper cites Kingma and Jimmy Ba.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Kingma and Jimmy Ba

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.091629Z digest=sha256:a0cb0f5bed6f260ba93345f568da4de16b4ea8c42c898a361d7a5096135bdf8d

Observation 6014f263-fff6-408d-ba4f-f3b304aa90ed · outbound

This paper cites GRAINS: Generative re- cursive autoencoders for indoor scenes.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis GRAINS: Generative re- cursive autoencoders for indoor scenes

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T17:00:08.032023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.096546Z digest=sha256:dfc387726b44f5b07ebe34a85b7f9499bc917e15b5f39c0e2a89640ced9c3374

Observation cc422c17-0488-4bbf-b375-cb87b2cf7e5b · outbound

This paper cites InstructScene: Instruction- driven 3D indoor scene synthesis with semantic graph prior.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis InstructScene: Instruction- driven 3D indoor scene synthesis with semantic graph prior

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.100301Z digest=sha256:9cf3729eecac65e8ae15aa6616504a28682c1bd3dba7894a2dbdc73b135bd5bd

Observation dff241db-9b60-444c-9254-dd0ff581cb8e · outbound

This paper cites CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.103872Z digest=sha256:a9f7875f6fc3a8055d5973e09fe97663813a27d4a54ae2fe14e644cd33312d51

Observation ce31e763-5fe1-4c0b-b5ca-568d9721b3e8 · outbound

This paper cites End-to-end optimization of scene layout.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis End-to-end optimization of scene layout

Reference 23

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raw_fallback, observed 2026-08-15T17:00:08.008484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.108077Z digest=sha256:30a796e1e697e1a16f5b9d7cd25ebc974a0db77b9bbed736bdb205489cfa24f7

Observation 1ee64a70-471e-4901-a79b-b565c4d20ce7 · outbound

This paper cites DeBaRA: Denoising-based 3D room arrangement generation.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis DeBaRA: Denoising-based 3D room arrangement generation

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.996353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.111778Z digest=sha256:96fd0f60a426e49319cee86796f81fd73ed322e8f53e4db7278f04f26bafab21

Observation d4800e78-e58e-47da-a0d0-03a8c469105b · outbound

This paper cites Interactive furniture layout using in- terior design guidelines.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Interactive furniture layout using in- terior design guidelines

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.985157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.115386Z digest=sha256:06810db087dce1a2bd54201b6f0307f359fe875414092eb0f9d6b258fb640dff

Observation 44d55336-7586-43e6-8007-bbf69c7af4e7 · outbound

This paper cites COFS: Controllable furniture layout synthesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis COFS: Controllable furniture layout synthesis

Reference 26

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raw_fallback, observed 2026-08-15T17:00:07.972665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.118880Z digest=sha256:696b07fc404d6c50da4343539a39ac446a1d7e2fe6a2d3841b5f1f308eb82f11

Observation afbcc867-be43-4db4-8df7-385310138507 · outbound

This paper cites ATISS: Autore- gressive transformers for indoor scene synthesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis ATISS: Autore- gressive transformers for indoor scene synthesis

Reference 27

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no resolver link, observed 2026-08-15T17:00:07.123249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.123249Z digest=sha256:810cd5347b6016e3c2065c807af0466b795e42e571f0282f4b446706f4b9a2f0

Observation ca789c06-cf33-4169-969c-bf8525f2398b · outbound

This paper cites Compositional 3D Scene Generation using Locally Conditioned Diffusion.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Compositional 3D Scene Generation using Locally Conditioned Diffusion

Reference 28

Resolution
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no resolver link, observed 2026-08-15T17:00:07.131338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.131338Z digest=sha256:1ff4d2e9180bc72e12bea063083c43f20950e8b3b7275c41340f71443dc12e5b

Observation 9ea4f291-8195-467a-ad85-86ad67da4663 · outbound

This paper cites Infinite photore- alistic worlds using procedural generation.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Infinite photore- alistic worlds using procedural generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.940623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.136471Z digest=sha256:40c84842b56c604a607a00690c1dc66cd0feb7c9c4242a354469e4d062cfecb6

Observation 9df703e3-3514-4c84-a4c4-9a4f9099d865 · outbound

This paper cites Fast and flex- ible indoor scene synthesis via deep convolutional genera- tive models.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Fast and flex- ible indoor scene synthesis via deep convolutional genera- tive models

Reference 30

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no resolver link, observed 2026-08-15T17:00:07.141102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.141102Z digest=sha256:652d7ca37f43f20f1ea51317c45b8c80e3cdacc8f889bfcfe5f815e8fad07be6

Observation 7547fd27-f88a-4a6f-af7c-ebfd06eb8b18 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Deep unsupervised learning using nonequilibrium thermodynamics

Reference 31

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no resolver link, observed 2026-08-15T17:00:07.144690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.144690Z digest=sha256:52b850dd990a805124e693423be31f0ead4768accb7047ad990c50cb21688a50

Observation 695441b0-1d95-4585-90f0-7aa907014f45 · outbound

This paper cites Denois- ing diffusion implicit models.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Denois- ing diffusion implicit models

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.148331Z digest=sha256:3fd546092320c0f7efebd18a5a5fc0d7e2f00fcff1e8e2e1c76adf9d77669413

Observation c0e9c1a2-255c-467f-8ce3-6cd207070f1b · outbound

This paper cites Improved techniques for training score-based generative models.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Improved techniques for training score-based generative models

Reference 33

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no resolver link, observed 2026-08-15T17:00:07.151736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.151736Z digest=sha256:d62d2ddd44dc54ba3c488fe484e3df7c3545d6acebd7b5721c80a0d08a787de2

Observation a3242205-c2db-4d46-9db3-b6f5438946b1 · outbound

This paper cites CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts

Reference 34

Resolution
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no resolver link, observed 2026-08-15T17:00:07.155228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.155228Z digest=sha256:8e54bdb2748632dbbeac668640daa551a3b4486e8e1750e890b5221df68df4f8

Observation 0968b885-b33c-4917-b21f-d5e43dd16988 · outbound

This paper cites LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models

Reference 35

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unresolved
no resolver link, observed 2026-08-15T17:00:07.160330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.160330Z digest=sha256:46a660347e52299638d9170e7519a2f6e2685993f82117a6f96624f362149c64

Observation d9b6cc6e-50b7-4f2d-a76f-edc3105cb2a2 · outbound

This paper cites RelTriple: Learning plausible indoor layouts by integrating relationship triples into the diffusion process.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis RelTriple: Learning plausible indoor layouts by integrating relationship triples into the diffusion process

Reference 36

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verified exact
raw_fallback, observed 2026-08-15T17:00:07.456263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.164582Z digest=sha256:5b878ac824dd3df7b01825a747a42251d64fb3f797a961a3cb4f47bd13bbc14a

Observation 2f89df28-e30e-40ce-8d32-1b6b046af6f7 · outbound

This paper cites Forest2Seq: Revitalizing order prior for sequential in- door scene synthesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Forest2Seq: Revitalizing order prior for sequential in- door scene synthesis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.890905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.168170Z digest=sha256:ace82c963855f70d5db03d3701b34a6cdb9734688f0cf7bf139960532a23d253

Observation 1268c85e-8887-4992-9eb5-710da837ce32 · outbound

This paper cites SceneEval: Evaluating semantic coherence in text-conditioned 3D indoor scene syn- thesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis SceneEval: Evaluating semantic coherence in text-conditioned 3D indoor scene syn- thesis

Reference 38

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no resolver link, observed 2026-08-15T17:00:07.171830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.171830Z digest=sha256:e46bd7edabe1865e77c9d67bca2a3278c69db0a3a6eed029b384ea437acd5d18

Observation 2cd26a65-6672-4ff4-9e12-6471631b3e1f · outbound

This paper cites DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Reference 39

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unresolved
no resolver link, observed 2026-08-15T17:00:07.175488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.175488Z digest=sha256:2e8586a8467b8f2840e845541c90e1fdfcb64215c6b7a517ed70800a1889a370

Observation f67b14b8-81d2-410b-8dd7-536db2c2f203 · outbound

This paper cites CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:07.179674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.179674Z digest=sha256:6f3dcc226356fc130b755c81bfe7420d78e1f26addfcf29aeaa48f5fa24b6dbf

Observation 78d1246b-b28a-4c23-97a0-7aa8fa7815ed · outbound

This paper cites Deep convolutional priors for indoor scene syn- thesis.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Deep convolutional priors for indoor scene syn- thesis

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:07.183396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.183396Z digest=sha256:fc9a40f9734170f156fd09007cf2cc894f748e07e6de90fea311345ead18e090

Observation c191e78d-b993-4579-8cc9-df7ec7ad9312 · outbound

This paper cites PlanIT: Planning and in- stantiating indoor scenes with relation graph and spatial prior networks.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis PlanIT: Planning and in- stantiating indoor scenes with relation graph and spatial prior networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.870199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.188440Z digest=sha256:7dff8b5dda838586e331a65c40943788fb0bb12af25643e67dca852c5b215315

Observation c024034a-ea51-437c-8857-1f2a9cfc47f6 · outbound

This paper cites Sceneformer: Indoor scene generation with transformers.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Sceneformer: Indoor scene generation with transformers

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.856439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.192481Z digest=sha256:99fa8aab3ead6558fd72bab0f92c3c716ea47e53f4178076e0cb690273c1edba

Observation 7e308393-4b01-4b90-abb9-3e1b6377623a · outbound

This paper cites Lego-net: Learning regular rearrangements of ob- jects in rooms.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Lego-net: Learning regular rearrangements of ob- jects in rooms

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.841688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.196033Z digest=sha256:704a1f353b92f25af4f4d0b79248d00a694d052fc037d8d212e955b013bc6e93

Observation d5663c0b-36af-4fa7-99db-48f026f5cbd3 · outbound

This paper cites AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:07.199713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.199713Z digest=sha256:45469a5b89022184fb575b67c145512cdb45e0d20d676b95db7891f7f234f1b1

Observation 9b1ce100-2c2d-4fdd-87bc-9d9039ea39c4 · outbound

This paper cites Structured 3D latents for scalable and versatile 3D generation.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Structured 3D latents for scalable and versatile 3D generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.829698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.204607Z digest=sha256:58b2afb0e615f8957f00bef70a4aa8330724e56da12dfdc3ba6f657da1509e5b

Observation d257b37b-2b69-442a-bab5-d311a5a38a24 · outbound

This paper cites Constraint- based automatic placement for scene composition.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Constraint- based automatic placement for scene composition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.817675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.208221Z digest=sha256:0b4ff6b77eba95ed2750073443cf3fecc759ef76b0336efe9c30414de87708d1

Observation 9b15abd5-7cc4-497c-ad61-09a1746c4c33 · outbound

This paper cites Indoor scene generation from a collection of semantic- segmented depth images.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Indoor scene generation from a collection of semantic- segmented depth images

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.805349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.211823Z digest=sha256:baadea9f42b83f64ffddfc3835a6b2146d03cc7baffac6ad898c9669ab5b72db

Observation cd37b21a-0c7a-4edf-9bc7-27137d185fe3 · outbound

This paper cites PhyScene: Physically interactable 3D scene synthe- sis for embodied AI.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis PhyScene: Physically interactable 3D scene synthe- sis for embodied AI

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.793119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.215471Z digest=sha256:0fa2e96fb8b8feac20c046c952e07141281dcc889cef6b4fbd49b264a6b98ae8

Observation 6cd2a807-c11d-4e1e-81a3-63c2e29b50f9 · outbound

This paper cites Holodeck: Language guided gener- ation of 3D embodied AI environments.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Holodeck: Language guided gener- ation of 3D embodied AI environments

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.780685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.219275Z digest=sha256:1b7511bfc4a01f615f24c582f1b3c9bc4588222ecf8bfdd8f0fd670501f6108a

Observation e8f40300-59b4-4893-9a63-0097eaa31092 · outbound

This paper cites CommonScenes: Generating commonsense 3D in- door scenes with scene graphs.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis CommonScenes: Generating commonsense 3D in- door scenes with scene graphs

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.767978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.224748Z digest=sha256:9ae887970d85dd53b37cbcf97b02490a838eafa646d3e345ac5ee60f71ae3a5c

Observation 3e8cc18c-a6a8-4f94-b8ff-41645c2a2a87 · outbound

This paper cites Echoscene: Indoor scene generation via information echo over scene graph diffusion.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Echoscene: Indoor scene generation via information echo over scene graph diffusion

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.752534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.229418Z digest=sha256:5a3c8e6a2702f1091199702603eed13811ffcff67a6eac2cca529d181e8d0622

Observation c11743f7-955b-4b82-bc0f-7e4ff4f440d8 · outbound

This paper cites Deep generative modeling for scene synthesis via hybrid represen- tations.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Deep generative modeling for scene synthesis via hybrid represen- tations

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.734957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.234556Z digest=sha256:2bcf92795a7e739756c1532b527d04dc7963785439557b1a9447020d002c7d3f

Observation 06ad62f0-9e6a-4291-803b-63f82d796960 · outbound

This paper cites SceneGraphNet: Neural message passing for 3D indoor scene augmentation.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis SceneGraphNet: Neural message passing for 3D indoor scene augmentation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.719087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.238610Z digest=sha256:b316e0e761c49694ca741cac799a84708775e5e1fc0ba05bcaf7a0510a67a2c7

Observation 4297a4ab-3657-4a47-a780-73e4e52201fa · outbound

This paper cites bedroom, living room, dining room) and fil- ter the data following DiffuScene [39].

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis bedroom, living room, dining room) and fil- ter the data following DiffuScene [39]

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.686292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.247188Z digest=sha256:39cecfe6aa48b0762a24855763e3faad8da8ea2cfdb73010bc3dec0ea1473c62

Observation 96ebf4e0-0cde-4e2a-9835-918a79518614 · outbound

This paper cites For the unified dataset, we combine all room types and split the processed data into 70% training, 10% validation, and 20% test following prior work [27, 39].

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis For the unified dataset, we combine all room types and split the processed data into 70% training, 10% validation, and 20% test following prior work [27, 39]

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.665267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.250769Z digest=sha256:b300fe62f97b6a8520f22c7510a78b1b575e7f98df2c0e4301f889346823355c

Observation 1691bcdc-d928-41e5-9563-902b5d9d3bd2 · outbound

This paper cites an unresolved cited work.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:00:07.649090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.255622Z digest=sha256:609deb7e9e106795cd00996a1dae0721398023a9c9bd7e31bc92895a052992b6

Observation 5f6a4bcf-e4e5-4f57-8790-b6df4848c07d · outbound

This paper cites The offset is determined by measuring the maximum distance from the object’s bounding box to the floor.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis The offset is determined by measuring the maximum distance from the object’s bounding box to the floor

Reference 60

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T17:00:07.636115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.259723Z digest=sha256:90c61809c2126c099ffe24615e1ba82f73f669b4809c4b9a01c948725350ef1c

Observation 6e79552e-77a8-40d6-89e6-b6bcc89703a1 · outbound

This paper cites A), additional information about our experimental setup (App.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis A), additional information about our experimental setup (App

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:07.702357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.243099Z digest=sha256:7283f3223fc9d7f7bfd284e01b6682b8340b1731ee6b9c8e303cf3189c5df1d9

Observation 5fd0e9a7-6476-47ce-bc89-0dda0059de64 · outbound

This paper cites an unresolved cited work.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:00:07.953667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:00:07.127632Z digest=sha256:afc39dc0578da0c7ae9cbe9ee9479b18ba1c4f44f188ef2391d10f972d7a9a42

Pith citing papers

Observation 75aaf80d-120d-46c9-b77d-99297122e3a4 · inbound

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

BIM-Native Tokenization for Constraint-Aware Room Layout Synthesis SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:53:51.078208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T01:52:22.693057Z digest=sha256:3cf2bb2290bb73243449d204ee7d30b76e1be383ff3a26feb3dcc9efe3d27b47

Observation bda6e8f4-bcbd-4b78-a53d-3bcb9224d42e · inbound

VoxScene: Anchor-Conditioned Voxel Diffusion for Indoor Scene Arrangement cites this paper.

VoxScene: Anchor-Conditioned Voxel Diffusion for Indoor Scene Arrangement SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:48:23.372853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T14:45:50.524402Z digest=sha256:b18fa6ed5a26055c0a4177f3c10314b6b9e4111278ff1e7a06400961b8ffb59f

Observation 862b1257-7451-42b8-807c-494202b4c0e3 · inbound

GOPI: Generation-Oriented 3D Pose Inference for Furniture Insertion from Single-View RGB-D Indoor Scenes cites this paper.

GOPI: Generation-Oriented 3D Pose Inference for Furniture Insertion from Single-View RGB-D Indoor Scenes SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:59:50.229390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:59:50.229390Z digest=sha256:418044ea13bf5f45ce45f34cdfebb10bfe653a1ad020ee7d49dff3536ac05405