Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:18:56.375680Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.04407.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:18:56.375680Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
14 of 14 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a29003f2-e02c-475a-906c-db552872444c · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Spatial geometric reasoning for room layout estimation via deep reinforcement learning
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 41e448a3-f275-42e0-9aa4-5fb192264616 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Lawrence Mandow, José-Luis Pérez-de-la Cruz, Ana Belén Rodríguez-Gavilán, and Manuela Ruiz-Montiel
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3aa37f3c-8165-4dba-9eb0-d19962a5ef95 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Feng Shi, Ranjith K Soman, Ji Han, and Jennifer K Whyte
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f957ef4-3e13-4a0d-8c16-69304e6caf29 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Matthias Klar, Moritz Glatt, and Jan C Aurich
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 383fe9d5-440f-41c8-91e6-b2a374481837 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 05ae400f-f21d-4bfb-8731-d334f15bc783 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Proximal Policy Optimization Algorithms
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da85b4c1-bdb6-4cc0-80f1-21675cf1e802 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Architectural layout planning using genetic algorithms
Reference 1998
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c8e3317f-15bf-442a-886a-a36644b6a2e2 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Benjamin Dillenburger
Reference 2010
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b7c96a6-8ddb-4e85-85c2-fe512d71bd8b · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation GPLAN: Computer-Generated Dimensioned Floorplans for given Adjacencies
Reference 2013
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cddeffe0-74b3-4822-ad89-1d34d7e91f4c · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation Proximal Policy Optimization Algorithms
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a1cd765-419f-47c1-a14b-07214496ad4b · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation 10 Illuminating Spaces A PREPRINT Dasong Wang and Roland Snooks
Reference 2020
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11979561-f329-4edc-945d-270ae0c62ba3 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation House-GAN++: Generative Adversarial Layout Refinement Networks
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b0d8256-93c2-4338-906d-36c794e585b1 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e210ebc8-4376-4c8c-aaf9-f6f0ae759866 · outbound
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation House-GAN++: Generative Adversarial Layout Refinement Networks
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.