Paper Citation Record · LEDGER

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.14117.

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

pith.paper-citation-record.v1
2605.14117 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:01:22.151862Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

16 of 16 outbound references displayed

verified exact3
verified fuzzy7
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 523dff56-4678-4f5b-85fb-e449a38955c8 · outbound

This paper cites Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:05:02.429344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac8cb409-cb61-43fc-947b-6b30e7a0a963 · outbound

This paper cites Architext: Language-Driven Generative Architecture Design.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards Architext: Language-Driven Generative Architecture Design

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:05:02.446517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4bae9e1f-49ec-49ec-b8b0-be573af3e776 · outbound

This paper cites The Llama 3 Herd of Models.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards The Llama 3 Herd of Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:05:02.440561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8a0d54c-6e1e-454f-9e11-544a9b0caccd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:05:02.451569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c54eed09-b2f9-45a1-a00a-7ce456243ab3 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:05:02.434663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88d58771-aa82-4f0d-9b53-f748e25b42f4 · outbound

This paper cites InProceedings of the Fifth Conference on Com- puter Aided Architectural Design Research in Asia (CAADRIA 2000), pages 441–450, Singapore.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards InProceedings of the Fifth Conference on Com- puter Aided Architectural Design Research in Asia (CAADRIA 2000), pages 441–450, Singapore

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.027510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 654ec7a7-302a-4f91-b347-08a2952461bc · outbound

This paper cites InProceedings of GAME-ON 2010, Le- icester, United Kingdom.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards InProceedings of GAME-ON 2010, Le- icester, United Kingdom

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.033507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8f8c0dc-3c72-442e-9cf1-9366b1a4200f · outbound

This paper cites InComputer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, pages 162–177.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards InComputer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, pages 162–177

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.030585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2cd37af6-119a-4f8d-9fdb-53d1f29db73d · outbound

This paper cites InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 9895–9901.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 9895–9901

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.042864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb586b2b-9c3f-4a54-8698-30c12c38bfc3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards Proximal Policy Optimization Algorithms

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:05:02.415631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a8186c3-18f2-4b97-9958-5eb969f88288 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:05:02.424334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c82749d0-c8f1-41a1-8285-d38734fdf17a · outbound

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

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:05:02.420035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 630b060e-2bdc-4cba-97e8-270d7f2e579b · outbound

This paper cites InProceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstra- tions), pages 7–12, Brussels, Belgium.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards InProceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstra- tions), pages 7–12, Brussels, Belgium

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.048438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67b06b78-e52f-49dc-8a90-507cc6880c5d · outbound

This paper cites We configure LoRA with rank r= 64 , α= 128 , dropout 0.1, and a learning rate of 1e−4.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards We configure LoRA with rank r= 64 , α= 128 , dropout 0.1, and a learning rate of 1e−4

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.040079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a54510f-d43e-4ade-8d90-030a5e15c50c · outbound

This paper cites bedroom|2.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards bedroom|2

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-05-15T07:20:12.036575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d49e8d4-e5fc-4788-8dca-57fe28b2212f · outbound

This paper cites realis- tic.

Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards realis- tic

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:20:12.045464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.