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Paper Citation Record · LEDGER

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.06161.

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

pith.paper-citation-record.v1
2608.06161 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:03.935163Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

  • verified exact0
  • verified fuzzy34
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce051a65-da11-4454-a4d8-90bc8618205f · outbound

This paper cites Holodeck 2.0: Vision-language-guided 3d world gen- eration with editing, 2025.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Holodeck 2.0: Vision-language-guided 3d world gen- eration with editing, 2025

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation af47e49f-9fa4-45d3-af9e-8f0188b225d9 · outbound

This paper cites Training diffusion models with reinforce- ment learning, 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Training diffusion models with reinforce- ment learning, 2023

Reference 2

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raw_fallback, observed 2026-08-07T13:46:10.742190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a3ee96b8-e05a-4c98-add3-97d5b0cd6460 · outbound

This paper cites Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion

Reference 3

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no resolver link, observed 2026-08-07T13:45:59.717927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:45:59.717927Z digest=sha256:3d86df84fd040a2c7bb85d07acef108afac92f7e6095f4fd781af079799ceb58

Observation d5490fa9-cb55-4ed5-90e3-4ea7a72e22c8 · outbound

This paper cites an unresolved cited work.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:45:59.823192Z digest=sha256:f87d66c7e12e377667a7244c6bc48d726ff6d3ff0a2260db398a570049cc5c53

Observation 6c431fa0-7ab7-4cb5-9a83-565fea2c8d9f · outbound

This paper cites Procthor: Large-scale embodied ai using procedural genera- tion, 2022.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Procthor: Large-scale embodied ai using procedural genera- tion, 2022

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:45:59.938798Z digest=sha256:1e79865981aaecb5278b62f9efffe1d9288ef88f461bc445738df8479f410289

Observation f7fe6d0e-27d8-48aa-aae8-82b477ac230a · outbound

This paper cites Graph-to-3d: End-to-end generation and ma- nipulation of 3d scenes using scene graphs, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Graph-to-3d: End-to-end generation and ma- nipulation of 3d scenes using scene graphs, 2021

Reference 6

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raw_fallback, observed 2026-08-07T13:46:10.449169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.035185Z digest=sha256:5cafd6c090a90bc9c1668996bd58612615206c08e5d1593e782a65b365773352

Observation 705b2b64-b821-493c-9c32-fb0ed1945ad9 · outbound

This paper cites Dpok: Reinforcement learning for fine-tuning text-to-image diffu- sion models, 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Dpok: Reinforcement learning for fine-tuning text-to-image diffu- sion models, 2023

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.142097Z digest=sha256:eaabb1d6400ac6483d24a6666b11064c0e509651b33e24202ffd4d0462f1eef9

Observation 15d51723-176a-48b0-a2a3-78080ae2269c · outbound

This paper cites Effective density of non-degenerate random walks on homogeneous spaces.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Effective density of non-degenerate random walks on homogeneous spaces

Reference 8

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local_arxiv, observed 2026-08-07T13:46:04.120606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.225657Z digest=sha256:8544096b26b829e46cb3e45103b898d661ec4b79fa306f59c06cd33994b746d1

Observation ae46fcf5-88c8-4803-af01-ee712a61d0ad · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation 3d-front: 3d furnished rooms with layouts and semantics, 2021

Reference 9

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raw_fallback, observed 2026-08-07T13:46:10.037260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.315764Z digest=sha256:28eea668fe7a6743ebc942d0bc6f03d09d002336ae8cafba9d941946917700f2

Observation 916822b2-ef73-4d36-b575-a4e03e651a38 · outbound

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

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation 3d-front: 3d furnished rooms with layouts and semantics

Reference 10

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no resolver link, observed 2026-08-07T13:46:00.391533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:00.391533Z digest=sha256:78e58713e1c6c9fd3eb15473641c58b503d69ac09bfc10ccd18b143c2aa04a54

Observation 2ae5ea52-51f2-4e43-aa86-e14efac8fb2a · outbound

This paper cites 3d-future: 3d fur- niture shape with texture.International Journal of Computer Vision, 129(12):3313–3337, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation 3d-future: 3d fur- niture shape with texture.International Journal of Computer Vision, 129(12):3313–3337, 2021

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:46:00.535574Z digest=sha256:b448d05cef072592c3b51fc0c707f927cd176348001daca50f9f1b3a214aa3b3

Observation 5ffa0bec-63ec-4b52-baf4-21c9f55688aa · outbound

This paper cites Gaussian error linear units (gelus), 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Gaussian error linear units (gelus), 2023

Reference 12

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raw_fallback, observed 2026-08-07T13:46:09.891658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.629300Z digest=sha256:c8ab3306878e2d75e3dd9e50d57060b75d04e4692c61ff21ff5fb709ac2a0b89

Observation 8acf294c-6c53-4b25-8c0f-c5128a253d80 · outbound

This paper cites Classifier-free diffusion guidance, 2022.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Classifier-free diffusion guidance, 2022

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:00.741309Z digest=sha256:aea506f741dc284000aa1eb39a055534168609ed842339b7b9d8f9be828c3f37

Observation e95519dc-7bf7-4078-88a5-a743d2b17737 · outbound

This paper cites Denoising dif- fusion probabilistic models.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Denoising dif- fusion probabilistic models

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T13:46:09.681095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.832111Z digest=sha256:d84880158e7b1e233e98183e97f087b85d45d6c2c3eb121c46cd846107eda065

Observation 9591edbf-fd3a-4719-a794-a9e89e0704cd · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:00.916979Z digest=sha256:9ac83248f9b3e1114130ea477af224bea87c6f50958700f3fcb81d29fb76dca6

Observation 5025f66d-819e-4a8a-9af7-206435c95c5f · outbound

This paper cites Mixed dif- fusion for 3d indoor scene synthesis, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Mixed dif- fusion for 3d indoor scene synthesis, 2024

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 043cd7ae-1abd-4b44-ae50-c999a1f40f43 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Elucidating the design space of diffusion-based generative models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a8a399eb-d9e2-4a94-9a7d-c1e3e4f3d175 · outbound

This paper cites Kingma and Jimmy Ba.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Kingma and Jimmy Ba

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:01.258801Z digest=sha256:5d25d06a7bb2ee5b2af7690f81ac29c89103e098d6a96d9233c9525b2c20f17b

Observation b219534f-ade7-4219-bb71-31aafbfa5c7c · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 19

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no resolver link, observed 2026-08-07T13:46:01.371778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:01.371778Z digest=sha256:86aad8a64d931d6a3d850bde17bbf9ca7166e5744a1f085c3c568dcce9eba104

Observation 677b9970-f4d6-405a-901c-0eb2bcb35b7e · outbound

This paper cites Instructscene: Instruction- driven 3d indoor scene synthesis with semantic graph prior,.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Instructscene: Instruction- driven 3d indoor scene synthesis with semantic graph prior,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b66ba720-ed90-4805-b421-9df18a4beb30 · outbound

This paper cites an unresolved cited work.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fe972211-1f73-4a58-8295-96623c0930e0 · outbound

This paper cites an unresolved cited work.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3aae0140-867c-4afc-afc3-541bf03b365d · outbound

This paper cites Eureka: Human-level reward design via coding large language models, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Eureka: Human-level reward design via coding large language models, 2024

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:01.741072Z digest=sha256:01ee89f687bf20325bf575c2a1887805bc4dca415040d9a9d45eefc0a2dc47a2

Observation 69d1932a-4459-4c0a-b6e8-08d8c8284904 · outbound

This paper cites Atiss: Autoregres- sive transformers for indoor scene synthesis, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Atiss: Autoregres- sive transformers for indoor scene synthesis, 2021

Reference 24

Resolution
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raw_fallback, observed 2026-08-07T13:46:08.016908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:01.838253Z digest=sha256:8ecfcf3f3313ea6fd87648551ec5ddc28437ba02b56ffaf5ede6379a8aa03208

Observation 1f3f40e6-4e04-4275-a07d-1d78d99a7aff · outbound

This paper cites Scalable diffusion models with transformers.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Scalable diffusion models with transformers

Reference 25

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raw_fallback, observed 2026-08-07T13:46:07.664884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:01.945507Z digest=sha256:b893167b1765bf0909147cb55ab071b52b320fd46ed120031e5a6e19c773c7bb

Observation 75e45011-4b59-41d8-8a60-aa4f862567f0 · outbound

This paper cites Steerable scene generation with post training and inference-time search, 2025.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Steerable scene generation with post training and inference-time search, 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:07.323654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.032915Z digest=sha256:7fa702470c34db18a3d733babccca950369bd3d94dd7ca2708217edf23c64f92

Observation 68cc817f-63d5-47de-8f43-d0c8c578b2ae · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:07.144400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.129545Z digest=sha256:3da82f680cc8f5429ff160f5c6d7d1be4562ba43a0eb4be16098fb038440fec8

Observation 0f3d3b58-7343-48a8-b025-d1eb620f2fc7 · outbound

This paper cites Human-centric indoor scene synthesis us- ing stochastic grammar, 2018.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Human-centric indoor scene synthesis us- ing stochastic grammar, 2018

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:06.983229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.246967Z digest=sha256:8b566efb3c5fbcf19887354702446a184688a1e80e5b9ccd4266e0691f6020dc

Observation 19b17f91-f1b9-40ec-b72f-5a88c7e19bb1 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Learning transferable visual models from natural language supervision, 2021

Reference 29

Resolution
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no resolver link, observed 2026-08-07T13:46:02.364640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:02.364640Z digest=sha256:87297e460fbb71a2efa08a950bbf89ec36936c1b0c9170ddeb935ea9291d97c7

Observation c5011057-24b0-4284-81af-8f2267289b67 · outbound

This paper cites Infinigen indoors: Photorealistic indoor scenes using procedural generation, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Infinigen indoors: Photorealistic indoor scenes using procedural generation, 2024

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T13:46:06.805657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.460014Z digest=sha256:aa0578ecd2c02013755e5956bbe880ac9663eb4710479168f7cbbc04bbfe25a9

Observation f73bb0c5-ef4b-458d-a4ca-d3dc13ea4175 · outbound

This paper cites A general framework for inference-time scaling and steering of diffusion models, 2025.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation A general framework for inference-time scaling and steering of diffusion models, 2025

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:06.637335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.542681Z digest=sha256:afa1c46e2ca54c38d84ef52ff885f8135a85794f0d367d184131071478c91dd2

Observation b1192b7c-ca45-4446-9172-ad00750cbcd9 · outbound

This paper cites Denois- ing diffusion implicit models.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Denois- ing diffusion implicit models

Reference 32

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raw_fallback, observed 2026-08-07T13:46:06.480080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.601973Z digest=sha256:32520a3921839b6d0007ade86c3e44b7afaad77e800b53b4af65cc38c51772ea

Observation 1c147edf-225f-4fcf-bed3-b2d55825fdc1 · outbound

This paper cites BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Reference 33

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no resolver link, observed 2026-08-07T13:46:02.717242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:02.717242Z digest=sha256:193447d083d5f15b8a93af390981c89d84a5611656f4503bb26e19dcd1fbf014

Observation 5dcf12a0-16f4-4ab9-b47b-efaec01a3a68 · outbound

This paper cites Going deeper with convolutions, 2014.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Going deeper with convolutions, 2014

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:06.292114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.814795Z digest=sha256:e72deff6dba7e325a52cb58dca9c36ea9dd053854d0eb329b9b6fc9c4da1a77a

Observation 2e16ccbf-041e-439d-a453-fb290ade19cd · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat.Ad- vances in Neural Information Processing Systems, 34:251– 266, 2021.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Habitat 2.0: Training home assistants to rearrange their habitat.Ad- vances in Neural Information Processing Systems, 34:251– 266, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:06.147519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:02.905163Z digest=sha256:bce16fcb87332592630327ed91f48a3800c2150bffafc128eb60ce663df52f49

Observation bb2b15f8-ac3f-4e9e-9a70-befb0cdd9919 · outbound

This paper cites Diffuscene: Denoising diffu- sion models for generative indoor scene synthesis, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Diffuscene: Denoising diffu- sion models for generative indoor scene synthesis, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.977134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.018915Z digest=sha256:26f1d30dd4b82fc182dfd2de9ac3d71eaa03ad0ad46afa0812c4b083f1cb50f7

Observation d4c9ce27-bdc3-4a7f-b21e-5e5fc640593e · outbound

This paper cites Gemini: A family of highly capable multi- modal models, 2025.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Gemini: A family of highly capable multi- modal models, 2025

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.881917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.093892Z digest=sha256:7b48333cf70335f94e8d9f858c45fa3b04763d2de6912f57326c69222b572b6e

Observation fd25fe9d-988d-4c34-b347-cc4c284ec114 · outbound

This paper cites Rearrange indoor scenes for human-robot co-activity, 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Rearrange indoor scenes for human-robot co-activity, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.748245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.177739Z digest=sha256:d62f766c8080ea797a7604d5c3fe9f876df4cfa88f19d4372c87ffec4d738c98

Observation d4b1af31-a504-4b97-b56d-758c2d76e76b · outbound

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

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Sceneformer: Indoor scene generation with transformers,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.577647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.258378Z digest=sha256:a739745016e8e85771a9593eb395df32ba91315893c9ecf5605c300a292ecadf

Observation 186acbf2-0116-4dd5-adbc-73e647dcebaa · outbound

This paper cites Lego-net: Learning regular rearrangements of ob- jects in rooms, 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Lego-net: Learning regular rearrangements of ob- jects in rooms, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.368417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.348803Z digest=sha256:b356816ba3410d48d9c88f43a6ecffb68392353f9af36cbfcde7b596a608ce6c

Observation 5693f82e-5839-4a53-a839-684819ad024e · outbound

This paper cites Physcene: Physically interactable 3d scene synthesis for embodied ai, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Physcene: Physically interactable 3d scene synthesis for embodied ai, 2024

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:05.200439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.433619Z digest=sha256:c47f5512f8379067e5f1a126de28eddcca1ca0ebe0a5e87d3f39b20a477251cf

Observation 5b4c8310-bdd6-4715-95cc-aa7c386358e2 · outbound

This paper cites Holodeck: Language guided generation of 3d embodied ai environ- ments, 2024.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Holodeck: Language guided generation of 3d embodied ai environ- ments, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:04.998547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.546578Z digest=sha256:54e3c64d2abb17a9028dc8a61e3225b091ebafe731893fa936a3f57423ac679f

Observation 2c3f55bf-1a71-4d5d-aacf-c88bea301e05 · outbound

This paper cites Op- tiscene: Llm-driven indoor scene layout generation via scaled human-aligned data synthesis and multi-stage prefer- ence optimization, 2025.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Op- tiscene: Llm-driven indoor scene layout generation via scaled human-aligned data synthesis and multi-stage prefer- ence optimization, 2025

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:04.826953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.658524Z digest=sha256:4daa53a7ea0f630ad6f2684bf70f0844a98d8752455e76203f07f3cf2c58dff9

Observation aed6d3d5-dba8-4509-8aad-9f4df400ed67 · outbound

This paper cites Commonscenes: Generating commonsense 3d indoor scenes with scene graph diffusion, 2023.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Commonscenes: Generating commonsense 3d indoor scenes with scene graph diffusion, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:04.695721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.726065Z digest=sha256:1b7c40af8b6ff2228181318256196a6438ab80ee4ff7de78ca03243c9be78fd4

Observation 2190f8f1-4676-4a84-a4ac-c6d487c1ce85 · outbound

This paper cites Large-scale reinforcement learning for diffusion models,.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Large-scale reinforcement learning for diffusion models,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:04.479424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.832226Z digest=sha256:36ba2f96a1f6e0807eb6fe9d224536845baf09a64b6df3eb6f9c82858fad6437

Observation 1515cbaa-1501-4e3e-8731-7ea09d576cde · outbound

This paper cites an unresolved cited work.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:46:04.251983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:46:03.935163Z digest=sha256:36e7951da196fc81d86e2b89932c8883f9f5a868b4730865328d8ec1c397ac94

Pith citing papers

No inbound Pith citation observations are available.