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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:d924e697fcdf66818d428b3dd5c07e64eb11e2e6858a05e76ad682f2c3ea2c57

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.710181Z digest=sha256:7493d932bd99dbed18607b553b7ca1f01f60a71dee006ebbe56353738d4897d5

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=sha256:3582151ee04e96b6ca56274db8aec886c07c28491d52ff4d5ca98db5b07f2833

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:a95ae3c88aef7c46fbbd0b98d9455d4baeef5f045c6d2303548f4411a8cf2527

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=sha256:0d45d44b42b68fa05b3b7cd34eed4910c27815f1f74ae76837c74f6c46ab74d5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.686891Z digest=sha256:580278c01bb0c9e38a00b22922cfa25025d63869e183a9521d276d884165b4c8

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=sha256:7853a27ba54919cd14d7b19cbfcefe7b75fde2f377be4998abb2cd9f34f4527d

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=sha256:9e9f21cc4fe74a0a5e2b805f595ea4a122f75455a1495155a0d211552d764625

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=sha256:2b6b951d3ebdbdd75cd1a325b476a85680a48e6cf0bae8ece864c87c8e91fb3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.706118Z digest=sha256:12f2f4e880f3e2bb308541d83b491cbd5f9097be0a621808886bbb0d09e184e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.713360Z digest=sha256:6d66cfd6031db4050b9b854a601d8fbadb1b611a25fbf1f8b44d5933d2a49cf3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.716462Z digest=sha256:6c4f2a64427b2b770fd76155d5acc50fa8d1e84a4078eaff4ea4e3d275a4a0b6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.719588Z digest=sha256:aaf80ed6accad0fb68bd4a7c2924f821ed67d6732ce02b86e95cf6ab7364f0e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.722819Z digest=sha256:c068a37a0b7aef01534ed0b40482b47bdf543ad7f7b33f2e1234d10b05e73c6b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.725812Z digest=sha256:20d40b3cca5174f4c6ad6f485b85b2afb55380ca9a2cceaf00cc4c1786a9ea81

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.729530Z digest=sha256:a493d87f19abca27ba6810a51b1e6bb0bf7b8c4a35af23d48e6eb7c050f002bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.732853Z digest=sha256:84ae1cf3f2fe585182d920e203b0256003dcaa89b47716b24dfb384d75293900

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.735886Z digest=sha256:6809b83789f9850552a4b0f7dbce5ac67c375eb9efcf2fd400ad205614115a90

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.739468Z digest=sha256:3773c054ae010bf439680bbf514f9adae188aaafd9764c4fa91d86b6885ba9d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.742706Z digest=sha256:15f15564ef064fb7ce0ce9e110a33ebb20d10b8b0eb0b667a49847d06ca806bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.745658Z digest=sha256:60c0226121d772d3ed27bd5f32c7cc09889c9836c37f9a09e7d8b7e5ef1bed2f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:50:28.748963Z digest=sha256:3a4b7b84382e131d0afc91e586dab421c1b1585e55e3a5885e5bd745fd94e731

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=sha256:032ad657e0f9f91783fadd50303a23341f7d0cd3fb8877a8fd2d2e4eba5dc666

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=sha256:46ba2d898e096a47156729da04703b5fdc92022f1b13dc92cc4d6c56251b53e1

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:a4cc40da50c67eafe5e66335a804075e9ac23a30e5fd85a21d936b0255e1d6bb

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.683904Z digest=sha256:989d7bd410731944903ffe45c44bda828f8d4d6d14eb08dfe1ff7a2c6159e950

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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no resolver link, observed 2026-08-07T05:50:28.693142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.693142Z digest=sha256:9aa036a0c68f952da4e5785a67d83270829cf395715a186cee1051d62fdad190

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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no resolver link, observed 2026-08-07T05:50:28.656804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:28.656804Z digest=sha256:46b7add78be221ecbb90789457157520348348df97f7b582157b129b6cf5b3d9

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=sha256:768a0f13d6ca2a19ed9f36e3a1ea78c8863cc76df6bdc8b825a3641302df2251

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:af0f42c4d48fecfd94cca744855246b2e711ebce26bea54071b69f232ed105ab

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:12:16.216710Z digest=sha256:aebde8fa52a018c995ccd2d7feb71ea9de84b4dcef25eca2bdc9d642e1e52bca