Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T21:30:42.766390Z
Paper Citation Record · LEDGER
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
As of 12 July 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2605.09423.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-12T06:30:05.999651+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 126 outbound references displayed
- verified exact51
- verified fuzzy35
- unresolved0
- parse uncertain1
- malformed identifier0
- metadata mismatch13
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ad9301a6-c103-4100-9c71-a98eec2844a9 · outbound
This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T21:32:59.528449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 522fc423-dd05-4c3d-8ded-4b7ebee74079 · outbound
This paper cites On Evaluation of Embodied Navigation Agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning On Evaluation of Embodied Navigation Agents
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.512743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d2bce383-8abb-46c6-902d-217515be8fe3 · outbound
This paper cites Introducing the model context protocol.https://www.anthropic.com/news/ model-context-protocol.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Introducing the model context protocol.https://www.anthropic.com/news/ model-context-protocol
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.608922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 453bc7c2-32fd-49a1-b359-de024ceb2bb7 · outbound
This paper cites Claude code by anthropic.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Claude code by anthropic
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.808251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d16fea88-e9c0-4189-bd06-f45513b49c10 · outbound
This paper cites Introducing claude opus 4.6.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Introducing claude opus 4.6
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.771496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7989a501-45aa-4ce9-90b4-ae03c7bea959 · outbound
This paper cites Claude sonnet 4.6.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Claude sonnet 4.6
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.792137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 2ad0efdc-28b0-405d-ad17-25f8c3a56b09 · outbound
This paper cites an unresolved cited work.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Unresolved cited work
Reference 7
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-14T23:38:18.799604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation cfb4b9ed-ea7d-41c8-a98f-97094b49fbd1 · outbound
This paper cites Program Synthesis with Large Language Models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Program Synthesis with Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.747735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation bbc1c3bb-fd2d-4f00-86a5-c489d8d209eb · outbound
This paper cites ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.626382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 8bd91311-a98e-48e9-8dc5-15db2f5ab853 · outbound
This paper cites Scenefactor: Factored latent 3d diffusion for controllable 3d scene generation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Scenefactor: Factored latent 3d diffusion for controllable 3d scene generation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.767798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 448d9274-50c4-4107-8fc0-97a0abc73e69 · outbound
This paper cites Genie: Generative interactive environments.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Genie: Generative interactive environments
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.780099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 00f42a6f-ad0c-48cd-8cc2-f6a0999fcf8c · outbound
This paper cites Large language models as tool makers.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Large language models as tool makers
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.763807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation f9f98fb1-70fc-4e19-8f41-a2f62589d073 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Evaluating Large Language Models Trained on Code
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.576209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7e2cb063-6950-44f9-bc93-4abac59562a8 · outbound
This paper cites Creator: Tool creation for disentangling abstract and concrete reasoning of large language models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Creator: Tool creation for disentangling abstract and concrete reasoning of large language models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.759737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d256578d-9e5d-4931-a6fd-a755913f210f · outbound
This paper cites LEGENT: Open platform for embodied agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning LEGENT: Open platform for embodied agents
Reference 15
- Resolution
- verified exact
- doi, observed 2026-05-14T21:32:58.957164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation e2f29d5c-6443-48e1-97fa-02ccf95efc2c · outbound
This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.732486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d288d68f-bf80-4a0f-a8ae-37ecde088db9 · outbound
This paper cites ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.496476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ca90ed45-4757-4cef-8dc1-0984deeeb788 · outbound
This paper cites Emergent complexity and zero-shot transfer via unsupervised environment design.Advances in neural information processing systems, 33:13049–13061.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Emergent complexity and zero-shot transfer via unsupervised environment design.Advances in neural information processing systems, 33:13049–13061
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.784356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation e07e5719-1d0b-498d-b9d1-989d33bd5036 · outbound
This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.632303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 358178c5-3457-4b7e-a15b-88837b036ddb · outbound
This paper cites CARLA: An Open Urban Driving Simulator.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning CARLA: An Open Urban Driving Simulator
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.708609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 94ac9803-0702-4ff3-9de2-c14a57f38073 · outbound
This paper cites an unresolved cited work.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Unresolved cited work
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.788090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ce02e809-de4d-402e-8958-679b9463c221 · outbound
This paper cites OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.595140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 8bad76e2-9d9e-4e35-8d1c-5f1b65a64de9 · outbound
This paper cites MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.500370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7fd8ee7b-a191-4475-afa1-5dc6214ae29a · outbound
This paper cites A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:21:42.844044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 96e7ed5b-083f-4051-8813-1d6060f1db5f · outbound
This paper cites Webevolver: Enhancing web agent self-improvement with co-evolving world model.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Webevolver: Enhancing web agent self-improvement with co-evolving world model
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.804024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation c5786f84-7707-47eb-89a7-4cf21480a232 · outbound
This paper cites ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.743013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 1c47c784-66a6-4ee4-b6eb-9345cf996be7 · outbound
This paper cites Embodiedcity: A benchmark platform for embodied agent in real-world city environment.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Embodiedcity: A benchmark platform for embodied agent in real-world city environment
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.829676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 4763fa19-2a0a-499a-bb5a-d8c247f8d0a4 · outbound
This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:15.948876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 52fd0b6e-4f36-4368-bf07-6866ac38df23 · outbound
This paper cites Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.717947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 9edd7149-2ba2-4927-8f2e-7e6d381513f2 · outbound
This paper cites Vlaw: Iterative co-improvement of vision-language-action policy and world model.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Vlaw: Iterative co-improvement of vision-language-action policy and world model
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.582235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d23b95ef-3ff6-41ff-af6d-efb338bd583a · outbound
This paper cites Openwebvoyager: Building multimodal web agents via iterative real-world exploration, feedback and optimization.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Openwebvoyager: Building multimodal web agents via iterative real-world exploration, feedback and optimization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.587979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 58d97ce3-039b-4c80-bb23-38951163ea15 · outbound
This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Text2room: Extracting textured 3d meshes from 2d text-to-image models
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.730415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation b5e8e75a-d86b-4e08-ab2c-6ad674f096ca · outbound
This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Metagpt: Meta programming for a multi-agent collaborative framework
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.775569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 430c603b-766b-420d-8340-e0df5ddaa6c6 · outbound
This paper cites Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Relic: Interactive video world model with long-horizon memory.arXiv preprint arXiv:2512.04040
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.737984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ffa749f4-ccbf-4130-abfc-a76feb080fe5 · outbound
This paper cites Automated Design of Agentic Systems.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Automated Design of Agentic Systems
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:07:55.640311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 8ecf1cb2-9b71-460c-b233-c5efd5ebc596 · outbound
This paper cites SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.573701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation c8efedc4-d797-4ed7-9d3a-34e11ee69826 · outbound
This paper cites R-zero: Self-evolving reasoning llm from zero data.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning R-zero: Self-evolving reasoning llm from zero data
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.746554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation b6393cb0-1633-4ca8-b4b4-4b2b0f8da891 · outbound
This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning R-Zero: Self-Evolving Reasoning LLM from Zero Data
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.661454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation c4514a8d-10fa-439d-a10b-b5b717e7bf07 · outbound
This paper cites Prioritized Level Replay.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Prioritized Level Replay
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.738833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation e2c17edd-f25d-4401-9729-d2343d55eafd · outbound
This paper cites WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T02:16:14.370216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation f61ab498-4c2b-4a29-9401-c3afdbd2d8b2 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.665665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation c422ca8b-7898-405c-9d93-7d2e1a38ecdf · outbound
This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning AI2-THOR: An Interactive 3D Environment for Visual AI
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.675332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 6ac97793-d62c-4ac9-ab6c-0db732537a00 · outbound
This paper cites Vulcan: Tool-augmented multi agents for iterative 3d object arrangement.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Vulcan: Tool-augmented multi agents for iterative 3d object arrangement
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.644180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 342f3fab-d81a-4ec6-89d3-a8ee16970ace · outbound
This paper cites iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.670691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 278433f4-eebb-422d-8955-105f8a2a81c1 · outbound
This paper cites BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T23:38:01.037356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 20b9c883-549a-4e28-85b6-e04e524fb33b · outbound
This paper cites Eurekaverse: Environment Curriculum Generation via Large Language Models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Eurekaverse: Environment Curriculum Generation via Large Language Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.680199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 2aee4f00-a79c-4ad9-ba29-7f0678d06916 · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning AgentBench: Evaluating LLMs as Agents
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.700308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation bec78550-4b26-455e-9a0e-b545e5c7d101 · outbound
This paper cites World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-26T03:04:11.226966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 4f2bb0dd-af8c-4110-82cb-90dacee97881 · outbound
This paper cites Imagine a city: Citygenagent for procedural 3d city generation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Imagine a city: Citygenagent for procedural 3d city generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.695166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 27287e6b-79b7-4f4f-ab78-706f67a15fa8 · outbound
This paper cites Yumeng Liu, Xiaoxiao Long, Zemin Yang, Yuan Liu, Marc Habermann, Christian Theobalt, Yuexin Ma, and Wenping Wang.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Yumeng Liu, Xiaoxiao Long, Zemin Yang, Yuan Liu, Marc Habermann, Christian Theobalt, Yuexin Ma, and Wenping Wang
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.602542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7e4bccb7-519a-47ed-97a1-7b781021619e · outbound
This paper cites Self-adapting improvement loops for robotic learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Self-adapting improvement loops for robotic learning
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.588739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 98117000-3233-46a7-8482-feee30098392 · outbound
This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Eureka: Human-Level Reward Design via Coding Large Language Models
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.591929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7c56b5ae-3da7-46a1-83ea-d6a24bb098b7 · outbound
This paper cites Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.816529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 31b072a6-93ab-4923-aea9-b196341045e7 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Cosmos World Foundation Model Platform for Physical AI
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.609408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 2e2127ef-c50c-451e-9c37-843d2bfb40b9 · outbound
This paper cites Generative Agents: Interactive Simulacra of Human Behavior.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Generative Agents: Interactive Simulacra of Human Behavior
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.752865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 4fb4df56-3551-4ed1-a9f2-195545cf53ab · outbound
This paper cites Evolving curricula with regret-based environment design.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Evolving curricula with regret-based environment design
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.710739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 47945158-b3b5-4c76-acba-d09711087fef · outbound
This paper cites Atiss: Autoregressive transformers for indoor scene synthesis.Advances in neural information processing systems, 34:12013–12026.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Atiss: Autoregressive transformers for indoor scene synthesis.Advances in neural information processing systems, 34:12013–12026
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.725719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation f3f3da05-945f-43af-a216-ea9dd8d09565 · outbound
This paper cites SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-06-02T02:03:38.693691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation f7f098ec-c09a-4b0d-8a7b-894b25e4f1eb · outbound
This paper cites Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.692194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation bd028f99-e4e3-48ac-b386-d6b57c581225 · outbound
This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.620192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ee92dd5d-1c58-4f58-91e1-807b279790cf · outbound
This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Toolllm: Facilitating large language models to master 16000+ real-world apis
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.719979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ab2ad564-5d4b-4d6a-9685-86b03eb9872c · outbound
This paper cites Qwen3.5: Towards native multimodal agents, February 2026.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Qwen3.5: Towards native multimodal agents, February 2026
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.812397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 11347c55-307b-4566-88ad-7e5ff8da220d · outbound
This paper cites Infinite photorealistic worlds using procedural generation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Infinite photorealistic worlds using procedural generation
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.715524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 98c2ec59-8117-43f9-a313-a0de2e019806 · outbound
This paper cites A Self-Improving Coding Agent.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning A Self-Improving Coding Agent
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.585322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation cb987667-e0a1-406c-a751-64fab23b5dcd · outbound
This paper cites MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Reference 67
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.516814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 1ba0c160-c9ad-420b-920b-e21e8ca7094b · outbound
This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Toolformer: Language Models Can Teach Themselves to Use Tools
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.616226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 6a0aaa3a-7976-42b0-8d28-635a0469dd32 · outbound
This paper cites Proximal Policy Optimization Algorithms.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Proximal Policy Optimization Algorithms
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.598509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation a4a82cf4-4fe0-4498-a789-f7596341131a · outbound
This paper cites informativeness.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning informativeness
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.606392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 145f92d6-e9ac-4519-8c4d-75f45f6bc6ac · outbound
This paper cites Re- flexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Re- flexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.750976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 6429ca0b-0eb0-4da4-a455-ddc315f89331 · outbound
This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.648204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d350a328-35a0-4aff-8a31-5db01a5c1ea5 · outbound
This paper cites Virtualenv: A platform for embodied ai research.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Virtualenv: A platform for embodied ai research
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.727763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ebd51ca6-4dea-4841-aa22-8d7437da8738 · outbound
This paper cites Diffuscene: Denoising diffusion models for generative indoor scene synthesis.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Diffuscene: Denoising diffusion models for generative indoor scene synthesis
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.613166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation f36f2e5a-bc66-4aed-830a-20e93261801b · outbound
This paper cites Gigabrain-0.5 m*: a vla that learns from world model-based reinforcement learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Gigabrain-0.5 m*: a vla that learns from world model-based reinforcement learning
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.524897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 1425be60-4c1a-4714-93c8-2a86b8c331cd · outbound
This paper cites Gigabrain-0.5 m*: a vla that learns from world model-based reinforcement learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Gigabrain-0.5 m*: a vla that learns from world model-based reinforcement learning
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:58.948952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation dedd447c-a02a-47e1-b2b7-5d95d25193d0 · outbound
This paper cites Vygotsky.Mind in Society: The Development of Higher Psychological Processes.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Vygotsky.Mind in Society: The Development of Higher Psychological Processes
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.618035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 3701792b-b206-498c-95e1-c3f6b73bef10 · outbound
This paper cites V oyager: An open-ended embodied agent with large language models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning V oyager: An open-ended embodied agent with large language models
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.825244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 1aeb1d4e-fdd4-420d-a1ab-aa50f26f8e04 · outbound
This paper cites GRUtopia: Dream General Robots in a City at Scale.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning GRUtopia: Dream General Robots in a City at Scale
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.554148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 47930ca4-b7eb-418e-904a-ea6c25d80366 · outbound
This paper cites booktitle =.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning booktitle =
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:58.953493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 75b6f979-2199-4448-af06-23f12afb71b7 · outbound
This paper cites Enhanced poet: Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Enhanced poet: Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.680112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 559ea5ca-4260-4a6c-8822-da57585db235 · outbound
This paper cites Executable code actions elicit better llm agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Executable code actions elicit better llm agents
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.684108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 269b0760-e3b2-40c6-a9ce-d4545e7d871c · outbound
This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 83
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.532548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7bfc3e04-2457-4b4a-b0db-c2313f92fe7c · outbound
This paper cites RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.541301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 3625d5c8-5152-4753-8b73-64b2678e7162 · outbound
This paper cites TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.537038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 47fc0f15-eadd-4956-a502-a41d0eb66e00 · outbound
This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Autogen: Enabling next-gen llm applications via multi-agent conversations
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.672047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation a1a14ff2-b295-44a5-ab29-be8c2fe050cd · outbound
This paper cites MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.612836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation d9477d7b-af9d-4317-af75-2f1f21b1b6b9 · outbound
This paper cites Agentgym: Evaluating and training large language model-based agents across diverse environments.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Agentgym: Evaluating and training large language model-based agents across diverse environments
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.734992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 1b0125de-25b8-48ee-93a4-40c674734a8c · outbound
This paper cites Sage: Scalable agentic 3d scene generation for embodied ai.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Sage: Scalable agentic 3d scene generation for embodied ai
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.640460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation e8e8a514-64ad-41ec-9936-201378a99ba2 · outbound
This paper cites Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.551200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 25b3c254-3d67-4ee5-b06e-9c546e9ab3ad · outbound
This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.630997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation ee30b7f4-11bb-42fa-a6bd-cdbf23132a44 · outbound
This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.626693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 085178c1-03f3-4b6f-956a-f03900be35ec · outbound
This paper cites SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
Reference 94
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.504330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 374ffe0b-9500-46e8-822b-46fbfd02b301 · outbound
This paper cites Learning Interactive Real-World Simulators.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Learning Interactive Real-World Simulators
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:15:18.951679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 7e411bd6-0237-4bf9-8ccf-ad3ed09ad6b0 · outbound
This paper cites Holodeck: Language Guided Generation of 3D Embodied AI Environments.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Holodeck: Language Guided Generation of 3D Embodied AI Environments
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.687888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 6ce08932-de7f-45e1-9b37-7d257c57fab9 · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning ReAct: Synergizing Reasoning and Acting in Language Models
Reference 97
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.683865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation edb21bb0-efec-4f81-86e4-bb9d8d51f5a7 · outbound
This paper cites Simworld: An open-ended simulator for agents in physical and social worlds.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Simworld: An open-ended simulator for agents in physical and social worlds
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T23:38:18.702228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 58b7bfd1-6d35-4aa1-a4f1-4e25006435ca · outbound
This paper cites G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.696422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation 6facab89-cd98-4d8b-b0d9-a1b395be209f · outbound
This paper cites WonderWorld: Interactive 3D Scene Generation from a Single Image.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning WonderWorld: Interactive 3D Scene Generation from a Single Image
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T21:32:59.567134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation fa41e90f-461b-43f4-b12c-fd2ff15fb620 · outbound
This paper cites EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.636633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation a0cc4a3f-0f63-402f-b2a9-d4918dc18419 · outbound
This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:48:50.578231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Observation aa2f6f7f-b9b2-4100-9f64-5830e9826e39 · outbound
This paper cites CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion.
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:59.487497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
Pith citing papers
No inbound Pith citation observations are available.