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Paper Citation Record · LEDGER

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.20866.

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

pith.paper-citation-record.v1
2607.20866 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:12:25.855718Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63e7e10c-bf10-4252-b52e-b821d3609ff6 · outbound

This paper cites Planit: Planning and instan- tiating indoor scenes with relation graph and spatial prior networks,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Planit: Planning and instan- tiating indoor scenes with relation graph and spatial prior networks,

Reference 1

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source=pdf_text observed=2026-08-01T09:12:22.556853Z digest=sha256:831b468aea5f93353508fb1bdb8c9007d76f53a8df98b0816f0bbbb6671e70e4

Observation 3acca7dd-e138-4c8d-991d-5fb220d1e272 · outbound

This paper cites Atiss: Autoregressive transformers for indoor scene synthesis,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Atiss: Autoregressive transformers for indoor scene synthesis,

Reference 2

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Observation 60b9474b-fea0-4177-a9c7-c2b3840d0b52 · outbound

This paper cites Layoutgpt: Compositional visual planning and generation with large language models,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Layoutgpt: Compositional visual planning and generation with large language models,

Reference 3

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Observation 7ad83f15-75de-4ed6-abd2-650e06ee4801 · outbound

This paper cites Diffuscene: Denoising diffusion models for generative indoor scene synthesis,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Diffuscene: Denoising diffusion models for generative indoor scene synthesis,

Reference 4

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Observation 7142fcb5-7ccc-4a52-901f-1c43bf82c9ad · outbound

This paper cites Physcene: Physi- cally interactable 3d scene synthesis for embodied ai,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Physcene: Physi- cally interactable 3d scene synthesis for embodied ai,

Reference 5

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source=pdf_text observed=2026-08-01T09:12:22.874545Z digest=sha256:70cd6c46151f763e3718115063e42f6d4737bb0c8bd5e15b0d628ae609181912

Observation 9c324f22-da33-4e1f-8dec-62c2819c2db5 · outbound

This paper cites S-inf: Towards realistic indoor scene synthesis via scene implicit neural field,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation S-inf: Towards realistic indoor scene synthesis via scene implicit neural field,

Reference 6

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Observation 9786b3cd-3cdb-4edc-9243-a8c4d1b82f83 · outbound

This paper cites Semlayoutdiff: Semantic layout generation with diffusion model for indoor scene synthesis,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Semlayoutdiff: Semantic layout generation with diffusion model for indoor scene synthesis,

Reference 7

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Observation 87a4d7d9-f609-475e-9c1b-4ff5fc98eaf4 · outbound

This paper cites Scenecraft: An llm agent for synthesizing 3d scenes as blender code,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Scenecraft: An llm agent for synthesizing 3d scenes as blender code,

Reference 8

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Observation c2db8454-d334-44ab-98ef-cb2fd5db6ced · outbound

This paper cites Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Learning spatial-temporal coherent correlations for speech-preserving facial expression manipulation,

Reference 9

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Observation 665bbd1a-c5d1-475d-b951-34458cc16dad · outbound

This paper cites Automation in interior space planning: Utilizing conditional generative adversarial network models to create furniture layouts,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Automation in interior space planning: Utilizing conditional generative adversarial network models to create furniture layouts,

Reference 10

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Observation 50272941-a7f2-4fb0-bd37-ca0676c1c371 · outbound

This paper cites Chat2layout: Interactive 3d furniture layout with a multimodal llm.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Chat2layout: Interactive 3d furniture layout with a multimodal llm

Reference 11

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Observation 21c6861d-0c72-4ee9-9e69-8505f5863106 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 12

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Observation ce8abdbc-d113-4345-adda-0a2c1822de6e · outbound

This paper cites Semantic scene completion from a single depth image,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Semantic scene completion from a single depth image,

Reference 13

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Observation 77fa65c1-8740-434f-b9ff-8296a48d4dce · outbound

This paper cites Structured3d: A large photo-realistic dataset for struc- tured 3d modeling,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Structured3d: A large photo-realistic dataset for struc- tured 3d modeling,

Reference 14

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Observation 1c5bc3eb-e4f3-404c-9547-22d40f57bfd4 · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation 3d-front: 3d furnished rooms with layouts and semantics,

Reference 15

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Observation e3eda773-6752-4fdc-81d3-51182f61c598 · outbound

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

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Fast and flexible indoor scene synthesis via deep convolutional genera- tive models,

Reference 16

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Observation 081cbb9f-20ec-4009-bab1-4900d7926417 · outbound

This paper cites In- door scene generation from a collection of semantic- segmented depth images,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation In- door scene generation from a collection of semantic- segmented depth images,

Reference 17

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Observation 9b2280e8-33b5-4dd7-be3a-9d6966789e35 · outbound

This paper cites Contrastive decoupled representation learning and regularization for speech-preserving facial expression manipulation,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Contrastive decoupled representation learning and regularization for speech-preserving facial expression manipulation,

Reference 18

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Observation 90f1c6be-940b-4876-b908-c4a55c0f4314 · outbound

This paper cites Grains: Generative recursive autoencoders for indoor scenes,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Grains: Generative recursive autoencoders for indoor scenes,

Reference 19

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Observation 086ad558-a6b3-48b1-9082-3805c2efacee · outbound

This paper cites Sceneformer: Indoor scene generation with transformers,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Sceneformer: Indoor scene generation with transformers,

Reference 20

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Observation 918dd737-6122-4a1a-96fe-707167048ef3 · outbound

This paper cites Lego-net: Learning regular rearrangements of objects in rooms,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Lego-net: Learning regular rearrangements of objects in rooms,

Reference 21

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Observation dd9d51fb-ac6c-4e56-8bf1-7ea36293cfdd · outbound

This paper cites InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Reference 22

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Observation 99ee44ee-f61b-403a-8a5d-b35ef5f6860c · outbound

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

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Mixed Diffusion for 3D Indoor Scene Synthesis

Reference 23

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Observation 5f7ea432-e031-47cc-8023-ab79bddc95c7 · outbound

This paper cites I-design: Personalized llm interior designer,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation I-design: Personalized llm interior designer,

Reference 24

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source=pdf_text observed=2026-08-01T09:12:24.331834Z digest=sha256:662f77d9f16eb92ba8226091364fd9b7d29c09f7dbc5bea17beda8f2bc1738f0

Observation f5887d34-256c-4168-9c44-c1c9695966fa · outbound

This paper cites Anyhome: Open-vocabulary generation of structured and textured 3d homes,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Anyhome: Open-vocabulary generation of structured and textured 3d homes,

Reference 25

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Observation 9bdf8a04-e3e5-4c3b-814d-8ff916c8e501 · outbound

This paper cites Holodeck: Language guided generation of 3d embod- ied ai environments,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Holodeck: Language guided generation of 3d embod- ied ai environments,

Reference 26

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Observation 74c8ad7f-ec9a-4cce-a21f-02c51e00f8c9 · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Code as Policies: Language Model Programs for Embodied Control

Reference 27

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source=pdf_text observed=2026-08-01T09:12:24.508015Z digest=sha256:15e2d3145b61a9bc86dcffb88892062e9d2b8e779df0cab1156c23bdc35247e6

Observation f09379fc-e4d2-4b9f-9911-8d4799b09357 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Do as i can, not as i say: Grounding language in robotic affordances,

Reference 28

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Observation 46f9248e-3d47-465e-80ab-5701fbc1422a · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Metagpt: Meta programming for a multi-agent collaborative framework,

Reference 29

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source=pdf_text observed=2026-08-01T09:12:24.632144Z digest=sha256:444a915e202a4c4c77ad12642825b0f0f62dfad4c69f087b4a66ffe15fff8c6e

Observation feb976af-b1c3-49c8-bedf-09c0a5b386de · outbound

This paper cites Mtr++: Multi- agent motion prediction with symmetric scene modeling and guided intention querying,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Mtr++: Multi- agent motion prediction with symmetric scene modeling and guided intention querying,

Reference 30

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Observation ee28db95-af1e-4b74-bbb2-217154e18caa · outbound

This paper cites Interaction pattern disentangling for multi- agent reinforcement learning,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Interaction pattern disentangling for multi- agent reinforcement learning,

Reference 31

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Observation b3f099cd-fdc6-4dff-ae1a-0034ce397b6c · outbound

This paper cites Mao: A framework for process model generation with multi- agent orchestration,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Mao: A framework for process model generation with multi- agent orchestration,

Reference 32

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Observation 5ffe4cf7-b38e-4138-bceb-bcfcb8efad14 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Self-Refine: Iterative Refinement with Self-Feedback

Reference 33

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source=pdf_text observed=2026-08-01T09:12:24.877738Z digest=sha256:6b0d3e24780112bcc48759c2d590d4e4f5f4d5a26caeec6a9d3e218a66cbc695

Observation 5eedd7e4-462b-46e2-8200-1f464aa8cefc · outbound

This paper cites Mo-mix: Multi- objective multi-agent cooperative decision-making with deep reinforcement learning,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Mo-mix: Multi- objective multi-agent cooperative decision-making with deep reinforcement learning,

Reference 34

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Observation 8960de3f-4ae1-4615-813d-092e7b17dfde · outbound

This paper cites Demystifying chains, trees, and graphs of thoughts,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Demystifying chains, trees, and graphs of thoughts,

Reference 35

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Observation a0453daf-7b30-4886-81df-9a0cc674572f · outbound

This paper cites Scannet: Richly-annotated 3d recon- structions of indoor scenes,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Scannet: Richly-annotated 3d recon- structions of indoor scenes,

Reference 36

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Observation d3688fc1-b8d9-4b94-83bf-c09b3aa51f03 · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Reference 37

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source=pdf_text observed=2026-08-01T09:12:25.092796Z digest=sha256:96a58dfbe1bc4c6e8e03084cd44d82f1c6aebb96e2a3ac0c4804837e7aa55ad1

Observation 81a0ab5f-e24b-4820-990e-22d20d61aef8 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Scannet++: A high-fidelity dataset of 3d indoor scenes,

Reference 38

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source=pdf_text observed=2026-08-01T09:12:25.138966Z digest=sha256:79d301f61ece4eba5c03c5254c431d42d429750d433c610255b9e0af485b3aa7

Observation bb725f60-d724-4fcc-8da7-b1018648acae · outbound

This paper cites InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Reference 39

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no resolver link, observed 2026-08-01T09:12:25.197739Z

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source=pdf_text observed=2026-08-01T09:12:25.197739Z digest=sha256:94d2ee94bbfcd4d3eaa08a3d90bd5279bc723601470e6833f6a042131a2797b1

Observation dfac9c8e-cf2c-43bb-8de2-81e109c99099 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Qwen2.5-Coder Technical Report

Reference 40

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no resolver link, observed 2026-08-01T09:12:25.267571Z

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source=pdf_text observed=2026-08-01T09:12:25.267571Z digest=sha256:ccfd826ecc2348e31d0a33947955e8b0cb4338935c8ce75c03f2431069f21ffe

Observation e1ad8099-8b75-4fe7-8e55-07388bbedb95 · outbound

This paper cites From system 1 to system 2: a survey of reasoning large language models,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation From system 1 to system 2: a survey of reasoning large language models,

Reference 41

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no resolver link, observed 2026-08-01T09:12:25.321547Z

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source=pdf_text observed=2026-08-01T09:12:25.321547Z digest=sha256:72d69974ce50f4c72a9ed99bed0615ca55a607a8fdfd9881903cd9d914e622d2

Observation 4e818054-9e2f-4727-921d-49c2cd881c26 · outbound

This paper cites Multi-step reasoning with large language models, a survey,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Multi-step reasoning with large language models, a survey,

Reference 42

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source=pdf_text observed=2026-08-01T09:12:25.404011Z digest=sha256:270d3e1ad7cc4733ff43c534d83841f996168d2dd94511fe661d25139d0a8805

Observation ed8c9df9-d12a-48d9-951a-9403c8bfb21e · outbound

This paper cites Elic- iting and improving the causal reasoning abilities of large language models with conditional statements,.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Elic- iting and improving the causal reasoning abilities of large language models with conditional statements,

Reference 43

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source=pdf_text observed=2026-08-01T09:12:25.517813Z digest=sha256:4d31a666477f1050b6d85fd3466c600af124771466dee6d535ac9ff4404ed852

Observation da3ea3f5-c2f8-43d8-9a88-ffc044cdca1c · outbound

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

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Lora: Low-rank adaptation of large language models

Reference 44

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source=pdf_text observed=2026-08-01T09:12:25.635576Z digest=sha256:0d7fcbe34e9d21b992b3fde79b0289ea7ebc1dfc27b66bd9cd560d6f72239d34

Observation 0497d893-3c07-45b3-ac35-9ac06f966256 · outbound

This paper cites Decoupled Weight Decay Regularization.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Decoupled Weight Decay Regularization

Reference 45

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source=pdf_text observed=2026-08-01T09:12:25.724879Z digest=sha256:ab65c196e0ffb7bbd4c7c87a64c4c7a1d578c045b50abb25bb97e155452ec3eb

Observation a1af7a91-32c6-4adb-932e-ba71fbcb3c20 · outbound

This paper cites Hundred Talents Program.

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation Hundred Talents Program

Reference 2024

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source=pdf_text observed=2026-08-01T09:12:25.855718Z digest=sha256:5e78b84f9f85425840bc493fde041534ea58d704b3daf2be76e7ba7a4495dcbe

Pith citing papers

No inbound Pith citation observations are available.