Paper Citation Record · LEDGER

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

As of 23 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 5 inbound Pith citation observations for arXiv:2507.06484.

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

pith.paper-citation-record.v1
2507.06484 v2

Coverage vector

measured 64 of 64 reference resolution

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measured 69 of 69 standing notices

One-hop event checks from named stored sources.

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:11:00.840340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:56:34.752902Z

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation 757fdf72-0fd8-42f4-8226-9a5f310f6c49 · outbound

This paper cites GPT-4 Technical Report.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds GPT-4 Technical Report

Reference 1

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Observation 56ab8fd7-a601-4246-b55f-bec25da8fa23 · outbound

This paper cites Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:25.147440Z

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Observation 3e3f0ed2-7c48-42d1-a7a2-3999f5c443ca · outbound

This paper cites I-design: Personal- ized llm interior designer.arXiv preprint arXiv:2404.02838,.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds I-design: Personal- ized llm interior designer.arXiv preprint arXiv:2404.02838,

Reference 3

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Observation 22b496ac-4bef-4dfc-a5d2-e0b4a47a2a15 · outbound

This paper cites Learning spatial knowledge for text to 3d scene generation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Learning spatial knowledge for text to 3d scene generation

Reference 4

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Observation 40790c0b-4ea2-4831-8d58-c1c6cbee8dec · outbound

This paper cites SceneSeer: 3D Scene Design with Natural Language.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds SceneSeer: 3D Scene Design with Natural Language

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:25.395511Z

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Observation 82379160-45a2-46f9-b488-2652080775ae · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:36.194302Z

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Observation b60dd022-5bcc-4f0e-bfd5-3d99bb6bc0da · outbound

This paper cites URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:25.571972Z

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Observation aa4cd893-691c-4236-96ff-78c5eb4d968e · outbound

This paper cites SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:25.638480Z

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Observation 5e35302d-176e-4e4c-af07-ec4ccdfc46a8 · outbound

This paper cites Wordseye: An automatic text-to-scene conversion system.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Wordseye: An automatic text-to-scene conversion system

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:36.160901Z

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Observation 0bb1a632-f669-463d-8509-c1b34df47882 · outbound

This paper cites Procthor: Large-scale embodied ai using procedural generation.Ad- vances in Neural Information Processing Systems, 35:5982– 5994, 2022.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Procthor: Large-scale embodied ai using procedural generation.Ad- vances in Neural Information Processing Systems, 35:5982– 5994, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:36.048234Z

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Observation 06aed207-0e9d-41d1-96a6-bb47042fd37c · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Objaverse: A universe of annotated 3d objects

Reference 11

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Observation 4f681eb1-6109-42ce-b1ff-eddb7344277b · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 12

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Observation b692d7ec-d7ff-4038-bd19-782c9f7bbc46 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds ImageNet: A large-scale hierarchical im- age database

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:35.702757Z

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Observation d4d23b0e-ff5c-4ecd-8eba-2997edfc0767 · outbound

This paper cites Disentangled 3D Scene Generation with Layout Learning.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Disentangled 3D Scene Generation with Layout Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:26.240368Z

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Observation f04a234c-3512-43dd-a05c-32384fc3740b · outbound

This paper cites Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:26.363654Z

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Observation 94d2422b-0527-4e9a-acfc-f877a188431a · outbound

This paper cites Layoutgpt: Compositional visual plan- ning and generation with large language models.Advances in Neural Information Processing Systems, 36, 2024.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Layoutgpt: Compositional visual plan- ning and generation with large language models.Advances in Neural Information Processing Systems, 36, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:35.644267Z

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Observation 9c076fbb-9d0b-460a-aea4-3cf6dbdf70b7 · outbound

This paper cites Example-based synthesis of 3d object arrangements.ACM Transactions on Graphics (TOG), 31(6):1–11, 2012.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Example-based synthesis of 3d object arrangements.ACM Transactions on Graphics (TOG), 31(6):1–11, 2012

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:35.565521Z

Source-reported events for the cited work

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Observation dda20418-a8e1-4c05-b2de-3dbee326ae00 · outbound

This paper cites Any- home: Open-vocabulary generation of structured and tex- tured 3d homes.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Any- home: Open-vocabulary generation of structured and tex- tured 3d homes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:35.391203Z

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Observation 12864e82-d745-4f54-8ff6-76f09672ce55 · outbound

This paper cites Rel3D: A minimally contrastive benchmark for grounding spatial relations in 3d.Advances in Neural Information Pro- cessing Systems, 33:10514–10525, 2020.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Rel3D: A minimally contrastive benchmark for grounding spatial relations in 3d.Advances in Neural Information Pro- cessing Systems, 33:10514–10525, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:35.207373Z

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Observation 8fc49ff0-f424-47f4-8370-fbfdad7a956c · outbound

This paper cites Text2Room: Extracting textured 3D meshes from 2D text-to-image models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Text2Room: Extracting textured 3D meshes from 2D text-to-image models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.922274Z

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Observation 73641011-fd9f-4384-8daa-bb76568dc2b9 · outbound

This paper cites 3D-LLM: In- jecting the 3D world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds 3D-LLM: In- jecting the 3D world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.695667Z

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Observation 628e9190-c971-4d58-a671-8761e57772cd · outbound

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

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Scenecraft: An llm agent for synthesizing 3d scenes as blender code

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.559575Z

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Observation 6e0d37c2-cbfe-42a5-8923-7c1e5662c247 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Large Language Models Cannot Self-Correct Reasoning Yet

Reference 23

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Observation 400aedfb-5b36-4ce2-be5b-4d624cbe5ae6 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Training Language Models to Self-Correct via Reinforcement Learning

Reference 24

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Observation 97f7ff7f-42c6-4291-b3e2-842bfb087700 · outbound

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

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

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Observation 8c6b66b2-27c5-46ea-9dd3-d96b532ec92b · outbound

This paper cites Microsoft coco: Common objects in context.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Microsoft coco: Common objects in context

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Observation 649621b1-eddf-4348-9ed5-86f25b3237cf · outbound

This paper cites Material palette: Extraction of materials from a single image.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Material palette: Extraction of materials from a single image

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.404330Z

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Observation c6654d33-4ca3-4af9-8118-56fa931bdbab · outbound

This paper cites Language-driven synthe- sis of 3d scenes from scene databases.ACM Transactions on Graphics (TOG), 37(6):1–16, 2018.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Language-driven synthe- sis of 3d scenes from scene databases.ACM Transactions on Graphics (TOG), 37(6):1–16, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.331089Z

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Observation ecdc951c-3b1f-4264-8d72-89b6ac9ace65 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

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Observation f0a61184-4834-46a2-80c6-f0dc2d834564 · outbound

This paper cites Edify 3D: Scalable High-Quality 3D Asset Generation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Edify 3D: Scalable High-Quality 3D Asset Generation

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Observation d5d1dbc3-e9e4-4b1a-a653-ef2e27248c83 · outbound

This paper cites Atiss: Autoregres- sive transformers for indoor scene synthesis.Advances in Neural Information Processing Systems, 34:12013–12026,.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Atiss: Autoregres- sive transformers for indoor scene synthesis.Advances in Neural Information Processing Systems, 34:12013–12026,

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Observation 4166ae79-89be-490f-a2ca-63425b49735e · outbound

This paper cites Advances in data- driven analysis and synthesis of 3d indoor scenes.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Advances in data- driven analysis and synthesis of 3d indoor scenes

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.204046Z

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Observation ac336ab7-8668-4344-ac3f-b09e09c91a16 · outbound

This paper cites Compositional 3d scene generation using locally conditioned diffusion.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Compositional 3d scene generation using locally conditioned diffusion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:34.091543Z

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Observation 6ed5852a-8429-4350-bd96-029b7ddbe82e · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Learning transferable visual models from natural language supervi- sion

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Observation 45cd910c-6ffe-4d68-8f44-932d3a284a16 · outbound

This paper cites Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors

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Observation 9924f5f2-4431-475e-af85-12b9231f8995 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Grounded sam: Assembling open-world models for diverse visual tasks,

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Observation 22cfc7e8-f557-498f-ac5c-98c37baee8f6 · outbound

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3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Susskind

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Observation 68c8327f-2d4c-433f-85f0-231279d08c57 · outbound

This paper cites Object Hallucination in Image Captioning.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Object Hallucination in Image Captioning

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Observation df90daee-1c8d-4296-a659-20304ca21b12 · outbound

This paper cites Controlroom3d: Room gen- eration using semantic proxy rooms.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Controlroom3d: Room gen- eration using semantic proxy rooms

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Source-reported events for the cited work

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Observation 378a64ea-5841-49a3-ad39-8a4a146a5199 · outbound

This paper cites Real-time automatic 3d scene generation from natural language voice and text de- scriptions.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Real-time automatic 3d scene generation from natural language voice and text de- scriptions

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.928249Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5941c165-779d-4786-9f71-77114fbce186 · outbound

This paper cites Horizonnet: Learning room layout with 1d represen- tation and pano stretch data augmentation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Horizonnet: Learning room layout with 1d represen- tation and pano stretch data augmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.777795Z

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Observation 189c25ce-7354-44c2-8df8-900b39caf607 · outbound

This paper cites LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models

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Source-reported events for the cited work

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Observation 31197d64-302c-4235-afef-3475e3b4b745 · outbound

This paper cites Factorsim: Generative simulation via factorized rep- resentation.Advances in Neural Information Processing Sys- tems, 37:87438–87472, 2024.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Factorsim: Generative simulation via factorized rep- resentation.Advances in Neural Information Processing Sys- tems, 37:87438–87472, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.665930Z

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Observation f236d975-a3cd-4f93-b853-7c59bce4e246 · outbound

This paper cites Partial-view object view synthesis via filtering inversion.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Partial-view object view synthesis via filtering inversion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.571398Z

Source-reported events for the cited work

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Observation 61e176e0-4271-4ed5-ac51-1d454af5b741 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Lgm: Large multi-view gaussian model for high-resolution 3d content creation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.460132Z

Source-reported events for the cited work

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Observation 0a787edc-b8d6-4976-adc7-9cb6b0b6db5f · outbound

This paper cites DiffuScene: Denoising diffu- sion models for generative indoor scene synthesis.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds DiffuScene: Denoising diffu- sion models for generative indoor scene synthesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.329825Z

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Observation 5fb754f0-75b4-4bf3-bd21-ee0657327702 · outbound

This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

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Unavailable: canonical work link unavailable.

Observation 3c692faa-d191-487c-b32e-a6db1f62d42f · outbound

This paper cites Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:29.291799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36be4184-03cd-4347-a035-b2a495046f64 · outbound

This paper cites RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:29.396038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faed3a08-26c4-42f0-bddc-03853aa784b0 · outbound

This paper cites Architect: Generating vivid and interactive 3d scenes with hierarchical 2d inpainting, 2024.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Architect: Generating vivid and interactive 3d scenes with hierarchical 2d inpainting, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.206158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4598024-9fcb-44ce-b65b-52ff61dc3d11 · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:33.093312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 685240fa-fe05-4b7f-be0e-61bef0ae514d · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:29.717119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76dbc7a-d1d5-4e2d-ba4e-b6f1566e51e7 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:29.817253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5bf40f-6a21-4fa3-8ea0-bf0eaa3b2871 · outbound

This paper cites Physcene: Physically interactable 3d scene synthe- sis for embodied ai.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Physcene: Physically interactable 3d scene synthe- sis for embodied ai

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:32.914444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32381829-480e-4e4d-b2bf-515812bb4628 · outbound

This paper cites Holodeck: Language guided gen- eration of 3d embodied ai environments.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Holodeck: Language guided gen- eration of 3d embodied ai environments

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:32.707862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d65d69dd-45a4-4cc0-889a-bf0928bf6c8f · outbound

This paper cites The clutterpalette: An interactive tool for detailing indoor scenes.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds The clutterpalette: An interactive tool for detailing indoor scenes

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:32.521254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7f87d50-a65e-4b5d-aeff-8e8484634865 · outbound

This paper cites RLF-V: Towards trustworthy MLLMs via behavior alignment from fine-grained correctional hu- man feedback.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds RLF-V: Towards trustworthy MLLMs via behavior alignment from fine-grained correctional hu- man feedback

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:32.329272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4dc9c68-d7aa-4626-8768-134154e5c463 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.ACM Transactions on Graphics (TOG), 43(4):1–20, 2024.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.ACM Transactions on Graphics (TOG), 43(4):1–20, 2024

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:30.324696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f84a514-1eeb-472b-84de-235ba23992e0 · outbound

This paper cites SceneWiz3D: Towards Text-guided 3D Scene Composition.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds SceneWiz3D: Towards Text-guided 3D Scene Composition

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:30.414347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e42970-38ae-4611-a5ed-21dbd4680c14 · outbound

This paper cites DreamScene360: Uncon- strained text-to-3D scene generation with panoramic gaus- sian splatting.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds DreamScene360: Uncon- strained text-to-3D scene generation with panoramic gaus- sian splatting

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:32.122004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c99a6018-6cf9-4342-94d3-ed9242d464bf · outbound

This paper cites GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:30.649221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5e14bb-7747-43ea-9a01-5b16d95a5721 · outbound

This paper cites placements.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds placements

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:31.918596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68d92fdb-d18e-4240-bd51-c81cf5b9e13a · outbound

This paper cites an unresolved cited work.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:31.791694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e54cadc9-f2ba-4df3-a054-1a519a52ea5c · outbound

This paper cites receptacle objects.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds receptacle objects

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:31.585806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation f4882744-93ec-4c58-b0f6-95ce98fe92b5 · inbound

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning cites this paper.

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:51:00.591108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b8f4dcd-56b7-4aaa-859a-2ba50a53d977 · inbound

StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics cites this paper.

StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:28:26.411745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce742356-f2b1-44fe-a795-630313bf90dc · inbound

Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis cites this paper.

Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:53:14.996405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adb0c979-3899-46e7-aaa7-e10b964af779 · inbound

Function2Scene: 3D Indoor Scene Layout from Functional Specifications cites this paper.

Function2Scene: 3D Indoor Scene Layout from Functional Specifications 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:12:46.730083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 667ff8d3-a95f-4923-85bc-f27ea0d09903 · inbound

PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification cites this paper.

PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:56:34.754685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.