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Paper Citation Record · LEDGER

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.07091.

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

pith.paper-citation-record.v1
2506.07091 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:28.748963Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T22:12:16.216710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:13:20.880575Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ee4c358-c616-4a1b-a508-404f74319eee · outbound

This paper cites GPT-4 Technical Report.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-07T05:50:28.652904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.652904Z digest=sha256:f17377494ffc91d1da4111a6ce22f226b137da21941336d12b9ef5b7d7bf288a

Observation 23a24a78-f38b-43d2-830e-7a17babd66d6 · outbound

This paper cites an unresolved cited work.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-07T05:50:29.000155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.710181Z digest=sha256:2aa6e5b3acac4ad9dc6f2c32888d06fc561d0b8d4fc5f26b2ceda526ee1bef1e

Observation e2ce5af7-4121-44ec-9a91-ec688fc88678 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.660172Z digest=sha256:5b15bd7148227c58c21a895b0c7c6818999d5cf543d2b7aa999f93258fdf5f22

Observation 45d270c9-d527-4403-9f5b-012d4275dee0 · outbound

This paper cites RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing

Reference 8

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no resolver link, observed 2026-08-07T05:50:28.676720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.676720Z digest=sha256:ccc98533f3f059cdf5f87892287de3d17c5947e31910bdc92a0f0af6c3207a13

Observation 9fd181df-5f61-4178-9208-a0a8ad9fddaf · outbound

This paper cites DeepSeek-V3 Technical Report.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model DeepSeek-V3 Technical Report

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.680310Z digest=sha256:311724d6cffc3d2a4fe9374d93ddd980f5c24a051b3520af8e578bd01b933ad7

Observation d6bd24b5-5b27-4897-a525-cd8e612645f9 · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 11

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no resolver link, observed 2026-08-07T05:50:28.686891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.686891Z digest=sha256:9f5e10893a7111dedfd044d07805795454c0191d74af246d887adcb9148ea876

Observation b180648a-1345-42ac-90ee-9b442019b962 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.696571Z digest=sha256:fae2a44af9a3109977a5003daf85c46df6970edbc6bf9134784f550544e96976

Observation 54e25f25-fb0c-4b1d-866a-768f0a34216d · outbound

This paper cites Consistent Flow Distillation for Text-to-3D Generation.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Consistent Flow Distillation for Text-to-3D Generation

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.700051Z digest=sha256:09cae4816065de383be8d38c49739a6c06f385056a0a25edbf15c9c0c2092300

Observation 4b846efe-245b-4da8-a03c-d2ff86c1eda9 · outbound

This paper cites RaDe-GS: Rasterizing Depth in Gaussian Splatting.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model RaDe-GS: Rasterizing Depth in Gaussian Splatting

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.703068Z digest=sha256:dd9ed45307307f407ebe0372eff1026e396d5d2741838a88d22b60d90996bea3

Observation 9edd230a-f8be-4002-8527-754d95c25c8a · outbound

This paper cites Hifa: High-fidelity text-to-3d generation with ad- vanced diffusion guidance.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Hifa: High-fidelity text-to-3d generation with ad- vanced diffusion guidance

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.706118Z digest=sha256:72cb37113860aef2879429f369a42c6dc5a1c1fd3b2d126f521c4e78e2fa8268

Observation e50b90ed-c593-47c0-99ad-7556f9d4cb7b · outbound

This paper cites an unresolved cited work.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.713360Z digest=sha256:89d6824fb9b283e034df9c2f0db3d3bbbc0352f38d5c85649addcc4816ce0751

Observation 8b4747c5-174a-4767-968c-9bd81b22e1b8 · outbound

This paper cites Therefor, we can drive the error recursively: ||eT || ≤ N−1X i=1 O((ti −t i−1)2) ≤ N−1X i=1 (ti −t i−1)O((△)) ≤O((△))(T−ξ) (29) The proof is completed.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Therefor, we can drive the error recursively: ||eT || ≤ N−1X i=1 O((ti −t i−1)2) ≤ N−1X i=1 (ti −t i−1)O((△)) ≤O((△))(T−ξ) (29) The proof is completed

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.716462Z digest=sha256:18c400a12d009ecb92fc1604581ac157aa8b15be136e3c3602b7473cb2017190

Observation 9691c406-b76a-4520-af8f-77a664d22bfd · outbound

This paper cites Consistent3DWu et al.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Consistent3DWu et al

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.719588Z digest=sha256:76838e366e861ac9a879233b7f26635edcdeddcc690a4100f0abd29d44da1119

Observation 6fafd198-4636-48c3-96d3-38603c7a0e77 · outbound

This paper cites [2024b] that based on LCMLuo et al.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model [2024b] that based on LCMLuo et al

Reference 22

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raw_fallback, observed 2026-08-07T05:50:28.964425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.722819Z digest=sha256:f8f7df0b7946f4c211300679d5838314bbfbc061923929ec0ef0abaaf45fff88

Observation 9f66d41b-ab10-4f5a-89f6-182a098d8042 · outbound

This paper cites When a location overlapping occurs, we reuse the LLM to adjust.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model When a location overlapping occurs, we reuse the LLM to adjust

Reference 23

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raw_fallback, observed 2026-08-07T05:50:28.955268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.725812Z digest=sha256:47cc85390e47fabc76f58fda8a5bd740d3e023e62b970a2459fe87b8d99fd31d

Observation ffef0121-2235-463f-bdf4-e1c3ee8f08d2 · outbound

This paper cites an unresolved cited work.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.729530Z digest=sha256:1d254a999b16bd3c1297dea85a9b451ab0797a76bb2907ecea83e938a9ddfd98

Observation 4acf19f8-a7be-4d36-a4ae-8a65a9ec7b97 · outbound

This paper cites Our CTS loss effectively resolves these issues.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Our CTS loss effectively resolves these issues

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.732853Z digest=sha256:2a72d7982d75e8210e1ac76562ddf0b8730e531798346e77511b5c65fb6dc12c

Observation 64ad9944-f2e7-41f5-836f-639f557ccb43 · outbound

This paper cites • For more precise physics simulation, we employ RadeGSZhang et al.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model • For more precise physics simulation, we employ RadeGSZhang et al

Reference 26

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raw_fallback, observed 2026-08-07T05:50:28.926742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.735886Z digest=sha256:a7c21b15355afe373f27c81f3350aa11283006d4e6928bd6a36220920006a1df

Observation 5e8e9abd-5d82-4c3c-a51a-da5107941a57 · outbound

This paper cites Additionally, Consistent3d is a two stage method and our method is one step.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Additionally, Consistent3d is a two stage method and our method is one step

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.739468Z digest=sha256:8e4db8d5fc92a6df8d55cae65482420fa19d29a41de6c84344015ac6ae7220c2

Observation e2aea0f4-36af-4a40-9869-2ded82819124 · outbound

This paper cites • Physically plausible editing for multi-objects.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model • Physically plausible editing for multi-objects

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.742706Z digest=sha256:8751ec93d60c02b86b4d4987f94d1f14448e06b146dda1a08a9686a45cbe3b0d

Observation 47adda39-7116-4e13-8e0d-842e22a0a6b1 · outbound

This paper cites Additionally, InstructScene did not generate walls, which were manually created by us.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Additionally, InstructScene did not generate walls, which were manually created by us

Reference 29

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.745658Z digest=sha256:86c6a8d81170d3a6cd8644da252b8668264f182d97360ca0b6d594784341f915

Observation e74e49b7-ea2f-4b0e-816e-71e0af9bab3a · outbound

This paper cites an office chair.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model an office chair

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:50:28.748963Z digest=sha256:4b435f636729ff1148d8cf2a9340cfebf1e625a92b325e61eb4ed8b1fe2c51bc

Observation c42ca527-9ecd-4905-b97d-f36fe66bee31 · outbound

This paper cites Global-Local Tree Search in VLMs for 3D Indoor Scene Generation.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Global-Local Tree Search in VLMs for 3D Indoor Scene Generation

Reference 2018

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.667040Z digest=sha256:ba3cb3919c9f799cf746d8e9e8d8279c23098533ca37e03773ffd7971c2a3cb2

Observation a0da6961-eb1e-459a-bbb0-c160c07ad74a · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model DreamFusion: Text-to-3D using 2D Diffusion

Reference 2019

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.690061Z digest=sha256:b172f0d06783475f9086dd985f57887265b21b5db33c322ac63b98a44aaeca33

Observation 4cdf1977-82b4-44fb-af2a-66458a5ef1dc · outbound

This paper cites VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation

Reference 2020

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no resolver link, observed 2026-08-07T05:50:28.663576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.663576Z digest=sha256:2ec4226430eff775cc4527b5f79e6b8dc116cb3478a8c3268650f1a61d068c81

Observation b3fd6573-13b2-4328-a85d-d0c4bd3d1910 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 2021

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no resolver link, observed 2026-08-07T05:50:28.683904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.683904Z digest=sha256:05a1765f2287d645626fd2dc1bc16c8cf88cbed331f47a36647cd7ec32f112e6

Observation dd75b38c-d695-4a13-a4e0-80b5eac4b817 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Accelerating 3D Deep Learning with PyTorch3D

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.693142Z digest=sha256:7d104160b489e9bc2170eef6b898e858d2b3d061d3a4ef344b38bf9d2e1a3dc7

Observation f88892e3-2d25-4559-8db8-40f23ad3c2b8 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.656804Z digest=sha256:aba85162096f336bad05e371bec4699e5647579051f8a99e943aa0a91caa7190

Observation 1b0953a2-0e76-4e76-99de-2c10c92daada · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.670495Z digest=sha256:670c18dd1de309adbee6b43360901798e11e0e21ceb75696eeaa815f7a0a22ba

Observation d8e2c517-91ec-4fd8-bcdb-2090b5423ae1 · outbound

This paper cites Classifier-free diffusion guidance.

SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model Classifier-free diffusion guidance

Reference 2025

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no resolver link, observed 2026-08-07T05:50:28.673783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.673783Z digest=sha256:bb12a4243fbe7ae22eb07febdad08724badd6a2669fba5b22eddad7b858d1ff3

Pith citing papers

Observation c88a6c22-7ccf-441e-a4e9-679b13eb0718 · inbound

SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions cites this paper.

SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model

Reference 21

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verified exact
arxiv_id, observed 2026-05-13T22:13:20.881806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T22:12:16.216710Z digest=sha256:2a827f8f827d126ef1618a4bf8be07bd15ed8b27c8d041a21e0082c256e54a68