Paper Citation Record · LEDGER

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

As of 20 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 4 inbound Pith citation observations for arXiv:2509.05263.

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

pith.paper-citation-record.v1
2509.05263 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:34:01.066136Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:13:36.811621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:01:25.371757Z

Reference resolution

74 of 74 outbound references displayed

verified exact1
verified fuzzy42
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a9f8f10-c26a-4ed8-892e-2a3b951f22a4 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.813062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1ff6fd-32c5-42db-8f07-b8c0f0474095 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation The claude 3 model family: Opus, sonnet, haiku.Claude-3 Model Card, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.817362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee97726-66e4-46e0-b02e-c98308db2094 · outbound

This paper cites Deterministic chaos game: a new fractal based pseudo-random number generator and its cryptographic application.Journal of Information Security and Applications, 52:102472, 2020.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Deterministic chaos game: a new fractal based pseudo-random number generator and its cryptographic application.Journal of Information Security and Applications, 52:102472, 2020

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.830171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3a1e908-3e97-44e4-8e52-5f3ea63d1ed1 · outbound

This paper cites Procedural content generation using neuroevolution and novelty search for diverse video game levels.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Procedural content generation using neuroevolution and novelty search for diverse video game levels

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.820390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59517375-f694-4372-99e6-281251c469c8 · outbound

This paper cites Flip: a low-dissipation, particle-in-cell method for fluid flow.Computer Physics Communications, 48(1):25–38, 1988.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Flip: a low-dissipation, particle-in-cell method for fluid flow.Computer Physics Communications, 48(1):25–38, 1988

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.810330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92552a6d-f764-4f0a-a9ff-3af0c1bc44ac · outbound

This paper cites Language models are few-shot learn- ers.Advances in neural information processing systems, 33:1877–1901, 2020.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Language models are few-shot learn- ers.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.832447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2204868-9428-4e8c-9243-de7e5d1d5d82 · outbound

This paper cites Text-to-3d using gaussian splatting.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Text-to-3d using gaussian splatting

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.793684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4091c450-91d7-4d6b-a066-edb2dc0b49a5 · outbound

This paper cites an unresolved cited work.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:34:01.783642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cf0a2a8-18eb-462a-b356-8eb59377e746 · outbound

This paper cites Citygen: Infinite and controllable 3d city layout generation, 2023.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Citygen: Infinite and controllable 3d city layout generation, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.773585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b097424-509f-48e2-83cf-cb8a6810a52c · outbound

This paper cites CityCraft: A Real Crafter for 3D City Generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation CityCraft: A Real Crafter for 3D City Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.848116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0376ee26-1b3a-4cb3-8d9d-916cfb90fe3f · outbound

This paper cites Illuminating diverse neural cellular automata for level generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Illuminating diverse neural cellular automata for level generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.761831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a299a95-f10b-4ef2-aae7-2fbc251a28b9 · outbound

This paper cites A survey on the procedural generation of virtual worlds.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation A survey on the procedural generation of virtual worlds

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.750112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c24bcdb-ef70-4cb3-8fd7-0f48c595bea2 · outbound

This paper cites SceneScape: Text-Driven Consistent Scene Generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation SceneScape: Text-Driven Consistent Scene Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.858891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5316d6-f3bc-4620-bc2e-107617c56276 · outbound

This paper cites Scenescape: Text-driven consistent scene generation.Advances in Neural Information Processing Systems, 36, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Scenescape: Text-driven consistent scene generation.Advances in Neural Information Processing Systems, 36, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.738505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c04a0cfc-0cd6-454b-b10b-ee062cfa9bc9 · outbound

This paper cites Automatically testing self-driving cars with search- based procedural content generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Automatically testing self-driving cars with search- based procedural content generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.725605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 230f96b2-1f70-44a1-ba42-eb4bcc11744d · outbound

This paper cites Blendergpt.https://github.com/gd3kr/BlenderGPT, April 2023.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Blendergpt.https://github.com/gd3kr/BlenderGPT, April 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.714434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14916f30-2968-4a7f-b18a-364b3c8fac35 · outbound

This paper cites Genie-2: Advanced interactive virtual environment.https://genie2.co/, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Genie-2: Advanced interactive virtual environment.https://genie2.co/, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.702720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59cdc3c4-1e73-4102-a58d-5ec68056543e · outbound

This paper cites Interactive example-based terrain authoring with conditional generative adversarial networks.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Interactive example-based terrain authoring with conditional generative adversarial networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.691608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a47e6937-bc83-4c26-907e-02bea805a29e · outbound

This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.680920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e5dc90e-e81a-4c8f-8c76-8648650e0a61 · outbound

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

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Scenecraft: An llm agent for synthesizing 3d scenes as blender code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.881656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ce6a22-465c-486f-9d02-26ee4fc4994b · outbound

This paper cites Mistral 7b.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Mistral 7b

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.662768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3030b31-3e65-48fb-8905-e38ee34b09d7 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (SIGGRAPH), 42(4), July 2023.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (SIGGRAPH), 42(4), July 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.650729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 865ab42e-cf6e-4d7f-b40f-e689c58bad39 · outbound

This paper cites Pcgrl: Procedural content genera- tion via reinforcement learning.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Pcgrl: Procedural content genera- tion via reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.639378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7493cde2-3af0-444b-afd9-6d4bab2bed86 · outbound

This paper cites Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, and Silvio Savarese.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, and Silvio Savarese

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.629463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f44938df-906f-426b-979c-01819b1025ac · outbound

This paper cites Dreamscene: 3d gaussian-based text-to-3d scene generation via formation pattern sampling.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Dreamscene: 3d gaussian-based text-to-3d scene generation via formation pattern sampling

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.618624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5f81229-164b-4a13-aaa2-7920fe143b07 · outbound

This paper cites Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:34:01.257397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b83a737-6b21-4e3c-8532-ff36bb527997 · outbound

This paper cites LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.908547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e8dd26-d9a1-4fd4-8866-8f361ec5f914 · outbound

This paper cites Softgym: Benchmarking deep reinforcement learning for deformable object manipulation, 2021.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Softgym: Benchmarking deep reinforcement learning for deformable object manipulation, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.607797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca19d868-4a9d-416b-9f87-01b02461684c · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2023.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Visual instruction tuning.Advances in neural information processing systems, 36, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.596147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de9be6e4-3f61-48d3-9e3d-2117074b2a04 · outbound

This paper cites Controllable procedural generation of landscapes.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Controllable procedural generation of landscapes

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.582832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f43e448b-9d60-4350-bfd3-ae1b15e96fab · outbound

This paper cites Deep learning for procedural content generation.Neural Computing and Applications, 33(1):19–37, 2021.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Deep learning for procedural content generation.Neural Computing and Applications, 33(1):19–37, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.572035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b87d57a2-1a0b-4ff6-bd3f-2d5249e3d645 · outbound

This paper cites Decoupled Weight Decay Regularization.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Decoupled Weight Decay Regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.926036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d78eaa8-9c48-4bc7-b2fc-7d67b6c36133 · outbound

This paper cites Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.929566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f5f753-f4e1-4481-ab3c-be48775656c7 · outbound

This paper cites Genex: Generating an explorable world, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Genex: Generating an explorable world, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.561335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 965a0308-879a-4ea3-b45e-25af056144a3 · outbound

This paper cites Llama 3 model, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Llama 3 model, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.551264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d4ac51a-6590-4495-aaf6-27c7b758c139 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.940089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7f45dc-737a-4df7-8137-3191b98c7eac · outbound

This paper cites Particle-based fluid simulation for interactive applications.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Particle-based fluid simulation for interactive applications

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.535612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7100e47-c2c1-4a56-9c59-1f20fae3b222 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Instant neural graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.524935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4d81b41-ea17-44b4-ab0b-ae4cd8a14dd2 · outbound

This paper cites Isaac sim 4.0 - robotics simulation and synthetic data generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Isaac sim 4.0 - robotics simulation and synthetic data generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.513273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 880bb824-971e-49bb-8ebe-993ee195a16c · outbound

This paper cites GPT-4V(ision) system card, 2023.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation GPT-4V(ision) system card, 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.953064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ba92ac-7f77-47fd-9113-f6b80cb01589 · outbound

This paper cites Gpt-4 technical report, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Gpt-4 technical report, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.956955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b682ea2b-e8a4-4d25-825a-84da12014398 · outbound

This paper cites Gpt-4o: Openai’s optimized language model.Technical Report, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Gpt-4o: Openai’s optimized language model.Technical Report, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.488977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dded21ee-a7eb-4870-8b55-fafddd9c89dd · outbound

This paper cites Training language models to follow in- structions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Training language models to follow in- structions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.477137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 064ba4ef-261b-49d0-a04e-f7973986d160 · outbound

This paper cites General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms.IEEE Transactions on Games, 11(3):195–214, 2019.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms.IEEE Transactions on Games, 11(3):195–214, 2019

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.465788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e91a3f6a-9300-4ec6-988b-f11077218c01 · outbound

This paper cites Virtualhome: Simulating household activities via programs.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Virtualhome: Simulating household activities via programs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:00.969710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cec93a-2393-4b11-bd99-58e9c9bada93 · outbound

This paper cites Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrish- nan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, and Roozbeh Mottaghi.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrish- nan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, and Roozbeh Mottaghi

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.448425Z

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Observation ee5affe2-5134-450e-a8b3-ec2ba291f4b2 · outbound

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

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Learning transferable visual models from natural language supervision

Reference 47

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Observation d0cf51d4-c4f4-4937-b44e-a3281a9dec67 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 48

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Observation 1124feb9-d4db-4976-9eb2-dbe033a6b8b4 · outbound

This paper cites Infinite photorealistic worlds using procedural gener- ation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Infinite photorealistic worlds using procedural gener- ation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.422397Z

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Observation d768fd66-91df-4232-946d-463a441a7e2b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 50

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Observation 072f52be-1f5d-4d40-9495-6bbb338e8a38 · outbound

This paper cites Infiniteworld: A unified scalable simulation framework for general visual-language robot interaction, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Infiniteworld: A unified scalable simulation framework for general visual-language robot interaction, 2024

Reference 51

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Observation f774550a-77d5-4527-9c60-081f8ec86510 · outbound

This paper cites UrbanWorld: An Urban World Model for 3D City Generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation UrbanWorld: An Urban World Model for 3D City Generation

Reference 52

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Observation 340f5118-63bf-47b1-9805-765e0828d013 · outbound

This paper cites Alfred: A benchmark for interpreting grounded instructions for everyday tasks.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Alfred: A benchmark for interpreting grounded instructions for everyday tasks

Reference 53

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Observation d5cf6c87-b71c-49ba-85c9-206771585910 · outbound

This paper cites RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture

Reference 54

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Observation fc4798bc-1406-4987-80fe-c15c062757f5 · outbound

This paper cites 3D-GPT: Procedural 3D Modeling with Large Language Models.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation 3D-GPT: Procedural 3D Modeling with Large Language Models

Reference 55

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Observation a4e08851-884c-453c-8d1a-29a26d356d0e · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat, 2022.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Habitat 2.0: Training home assistants to rearrange their habitat, 2022

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.392149Z

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Observation fb234312-055b-4a02-bb51-fd022a27b687 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Gemini: A family of highly capable multimodal models, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.010480Z

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Observation 8ae260ff-40a7-45bb-9c7c-c671ab7a7ab1 · outbound

This paper cites What is procedural content generation? mario on the borderline.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation What is procedural content generation? mario on the borderline

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.374883Z

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Observation 0ae7664b-6337-4130-bae9-a7f9cae9d6f0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.016763Z

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Observation 27764612-78e8-4e19-8028-e549323b7355 · outbound

This paper cites LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation, October 2021.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation, October 2021

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.363710Z

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Observation 97011b6e-e591-46f4-8549-d2ea1ef85fd4 · outbound

This paper cites Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Loveda: A remote sensing land-cover dataset for domain adaptive semantic segmentation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.352463Z

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Observation 5e6bf111-87fc-454a-a2ce-f80656513b34 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.027051Z

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Observation b29b7682-37da-4d59-81ee-161e53b359b8 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Finetuned Language Models Are Zero-Shot Learners

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.030552Z

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Observation 7f6dc86a-cc58-414a-9fde-b9ac6522e300 · outbound

This paper cites Worldlabs: Ai-powered virtual world platform.https://www.worldlabs.ai/, 2024.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Worldlabs: Ai-powered virtual world platform.https://www.worldlabs.ai/, 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.340133Z

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Observation c42634e9-2e44-4426-9d34-ca5977f270e0 · outbound

This paper cites MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.037708Z

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Observation 27cffc23-cf31-4f5f-8f8e-c00b5f10130e · outbound

This paper cites Procedural game map generation using multi-leveled cellu- lar automata by machine learning.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Procedural game map generation using multi-leveled cellu- lar automata by machine learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.328993Z

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Observation 14878390-2215-4046-a2a4-464ed47a13e1 · outbound

This paper cites Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

Reference 67

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Observation 82f7f6ba-24bc-4fab-92ff-f682a93c837a · outbound

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LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.317694Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3acb2c9c-45b9-46c9-9fa2-7994ecd4890f · outbound

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LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.050489Z

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Observation 2de2ef9b-3a06-4a4e-8d3a-32255994ca94 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.053542Z

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Observation 6858d205-fa7f-441f-9a39-6118e83dfc61 · outbound

This paper cites 3d-scenedreamer: Text-driven 3d-consistent scene generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation 3d-scenedreamer: Text-driven 3d-consistent scene generation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.305851Z

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Observation a30f4994-09a7-4eb3-8ae4-8d583e1b2952 · outbound

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LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation Unrealzoo: Enriching photo-realistic virtual worlds for embodied ai, 2024

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:34:01.292838Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b043d690-a9b5-4937-b82e-f9c13dddc766 · outbound

This paper cites SceneX: Procedural Controllable Large-scale Scene Generation.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation SceneX: Procedural Controllable Large-scale Scene Generation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:01.062644Z

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Observation cdaf3026-69d5-4111-a783-2560fa23132f · outbound

This paper cites DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting.

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Reference 74

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Pith citing papers

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3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:25.377701Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92afe602-7588-41b3-a59e-c9614124c1a3 · inbound

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3D Generation for Embodied AI and Robotic Simulation: A Survey LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:13.136372Z

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Observation 324c0d7e-b66b-4736-b969-32366111b065 · inbound

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3D Generation for Embodied AI and Robotic Simulation: A Survey LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Reference 161

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32763197-6397-4ad0-be73-97684bf078cc · inbound

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Reference 17

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