Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T10:13:58.774968Z
Paper Citation Record · LEDGER
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
As of 5 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 80 inbound Pith citation observations for arXiv:2509.02544.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:03:39.391482Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
90 of 90 outbound references displayed
- verified exact54
- verified fuzzy31
- unresolved0
- parse uncertain1
- malformed identifier0
- metadata mismatch4
External citation measurements
31
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation de3d4e3a-9a2a-4cfa-aa79-ef2c6740547d · outbound
This paper cites Introducing the model context protocol.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Introducing the model context protocol
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.284826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5f31d35-4d4e-4790-89e2-d5bd1c744ccc · outbound
This paper cites Developing a computer use model.https://www.anthropic.com/news/developing-computer-use.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Developing a computer use model.https://www.anthropic.com/news/developing-computer-use
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.193462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc912f36-e514-47f7-a022-426085393707 · outbound
This paper cites an unresolved cited work.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Unresolved cited work
Reference 3
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-13T10:13:59.197868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fb943cd8-d57c-4b1e-9693-70659930bdf8 · outbound
This paper cites Claude 3.7 sonnet system card.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Claude 3.7 sonnet system card
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.202053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95e7cf4f-282a-4cf2-87c9-7b9a89a0c899 · outbound
This paper cites Claude’s extended thinking.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Claude’s extended thinking
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.206172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5726bbdd-ce81-49b8-93a0-532a3664fd6e · outbound
This paper cites Introducing claude 4.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Introducing claude 4
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.210724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59ff5609-7a39-4fa1-b975-cd340c4e02c8 · outbound
This paper cites Scaling data collection for training software engineering agents.Nebius blog.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Scaling data collection for training software engineering agents.Nebius blog
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.215282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a733e41c-1e01-4974-a726-211e4251776a · outbound
This paper cites SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.066796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3e7f836-8647-43ef-96d6-d0883fdd8915 · outbound
This paper cites Video pretraining (vpt): Learning to act by watching unlabeled online videos.Advances in Neural Information Processing Systems, 35:24639–24654.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Video pretraining (vpt): Learning to act by watching unlabeled online videos.Advances in Neural Information Processing Systems, 35:24639–24654
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.220414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 70f7b388-d9fe-4fa4-bcf8-c349a60ff57b · outbound
This paper cites The arcade learning environment: An evaluation platform for general agents.Journal of artificial intelligence research, 47:253–279.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning The arcade learning environment: An evaluation platform for general agents.Journal of artificial intelligence research, 47:253–279
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.225234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 042026ee-35a6-4706-a152-bdbe14b7f2d0 · outbound
This paper cites Windows agent arena: Evaluating multi-modal os agents at scale.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Windows agent arena: Evaluating multi-modal os agents at scale
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.230301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1497993b-6d28-444b-acb7-7fa68e3173c1 · outbound
This paper cites Seed-thinking-1.6.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Seed-thinking-1.6
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.233720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5084a61c-7bf2-4f8e-8e74-8c64999d6241 · outbound
This paper cites Mindsearch: Mimicking human minds elicits deep ai searcher.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Mindsearch: Mimicking human minds elicits deep ai searcher
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.085850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 379666f6-5021-49b5-9f28-3990481137ae · outbound
This paper cites SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:09:46.778093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4684eb12-2aa2-405d-a34c-f7c6b8dd8e72 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.060146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 758f78d0-9afb-4382-a7d2-caa6bd7ed31d · outbound
This paper cites Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models.arXiv e-prints, pages arXiv–2409.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models.arXiv e-prints, pages arXiv–2409
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.236547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation adf86baa-3cf9-435a-89fa-4d2d1ea0c52e · outbound
This paper cites Mind2Web: Towards a Generalist Agent for the Web.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Mind2Web: Towards a Generalist Agent for the Web
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:05:16.335224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 704c45d5-1748-4bac-b1a7-73e15fe6e9e0 · outbound
This paper cites Minedojo: Building open-ended embodied agents with internet-scale knowledge.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Minedojo: Building open-ended embodied agents with internet-scale knowledge
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.240350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15f6c244-687b-4b84-9943-2525f47874aa · outbound
This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:42:39.160125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 615ff5bb-32cc-4172-971e-b01b9679b31b · outbound
This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:19:36.299641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a96da0c-de26-49d8-baa2-e6fd0fa5b25a · outbound
This paper cites A Survey on LLM-as-a-Judge.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning A Survey on LLM-as-a-Judge
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.103962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfd63874-1468-450b-9ab4-868a68cc8e85 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.109629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3d3700e-8dfe-4eaa-84ad-4f7d0f00f94b · outbound
This paper cites OWL: A Large Language Model for IT Operations.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OWL: A Large Language Model for IT Operations
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.115701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19e7957f-4545-4596-b6ab-f35abe9f0984 · outbound
This paper cites Cogagent: A visual language model for gui agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Cogagent: A visual language model for gui agents
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.244186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c87a4664-3ed6-421e-bf53-762d56b3599c · outbound
This paper cites lmgame-Bench: How Good are LLMs at Playing Games?.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning lmgame-Bench: How Good are LLMs at Playing Games?
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.184183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 944110c9-c093-42b8-b993-20daf9b17846 · outbound
This paper cites OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:58.845816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58b2e9f9-264c-4002-962f-95023d9d2a37 · outbound
This paper cites ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.880912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2fccd53a-de22-41b0-ac7e-6d0151c13033 · outbound
This paper cites OpenAI o1 System Card.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OpenAI o1 System Card
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.886621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f1a0c3ee-5aba-4d9c-8e26-4eb22e3fa5bd · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.918697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e8a8c77a-9766-4de9-b7af-5796656fdabe · outbound
This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:31:08.404728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 30ef546f-4f12-4a81-8aab-221dfeebc95d · outbound
This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning WebSailor: Navigating Super-human Reasoning for Web Agent
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T15:37:09.773663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2eff03f3-e254-4d06-88d9-e3454eef8b1c · outbound
This paper cites JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.004983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fb9bb40b-15bf-4aed-b1e6-e1d0f0caba50 · outbound
This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Search-o1: Agentic Search-Enhanced Large Reasoning Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:36:27.820666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b9f49a87-c1ee-4848-adad-06a39be94915 · outbound
This paper cites ToRL: Scaling Tool-Integrated RL.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ToRL: Scaling Tool-Integrated RL
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.036699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1ded9e82-d560-4c8f-a2e2-06e552dc3762 · outbound
This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.041986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efa7606d-90a1-4c89-a24d-f755e76324f5 · outbound
This paper cites ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.047730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2178612c-4e14-449c-ab0c-e5596a49b28a · outbound
This paper cites RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.053557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fca6930a-71da-436b-b1eb-12b645b31734 · outbound
This paper cites Large language models play starcraft ii: Benchmarks and a chain of summarization approach.Advances in Neural Information Processing Systems, 37:133386–133442.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Large language models play starcraft ii: Benchmarks and a chain of summarization approach.Advances in Neural Information Processing Systems, 37:133386–133442
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.248418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 51f24dd3-f343-4273-b841-ff8ec47cecf6 · outbound
This paper cites Human-level control through deep reinforcement learning.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Human-level control through deep reinforcement learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.252471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0a3ea3f-9fdc-4838-87e0-48ab8c7dece4 · outbound
This paper cites Kimi-researcher: End-to-end rl training for emerging agentic capabilities.https://moonshotai.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Kimi-researcher: End-to-end rl training for emerging agentic capabilities.https://moonshotai
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.256633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3fca4f54-49c9-44c3-b37e-2375d06705c7 · outbound
This paper cites Gui agents: A survey.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Gui agents: A survey
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.079422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2af4f713-f4f7-48d2-b794-1b627170012c · outbound
This paper cites OpenAI: Introducing ChatGPT.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OpenAI: Introducing ChatGPT
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.260936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0e53297b-4131-41a7-97e2-ac3dea75efcd · outbound
This paper cites Introducing gpt 5.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Introducing gpt 5
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.264676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7a3b863-07b4-4ed4-8573-e5e7702f2c80 · outbound
This paper cites Introducing deep research - openai.https://openai.com/index/introducing-deep-research/.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Introducing deep research - openai.https://openai.com/index/introducing-deep-research/
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.268878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 44dbbce9-e221-4f13-93b3-a5e01a1ddc91 · outbound
This paper cites Openai o3 and o4-mini system card.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Openai o3 and o4-mini system card
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.272797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 467dbc45-7e12-4acc-b672-b556c1b6e17e · outbound
This paper cites Computer-using agent (cua).
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Computer-using agent (cua)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.276563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 86231617-ca47-499d-8c31-7f2100926fbc · outbound
This paper cites Operator.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Operator
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.280752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c0a0eb8-eeb9-489d-beb4-0464fa0eac73 · outbound
This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Training Software Engineering Agents and Verifiers with SWE-Gym
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:20:40.573423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c95661c9-6d35-49f3-9023-96457b42d33a · outbound
This paper cites Exploring mode connectivity for pre-trained language models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Exploring mode connectivity for pre-trained language models
Reference 49
- Resolution
- verified exact
- doi, observed 2026-05-13T10:13:58.832471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fd4f7368-5270-49b9-a630-759aade2bdd3 · outbound
This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.127832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93d14fd2-4d9f-44ae-9485-adc41df0567e · outbound
This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.132799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4081edfb-eb3b-47dd-be6c-6aea0658c3a2 · outbound
This paper cites Scaling Instructable Agents Across Many Simulated Worlds.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Scaling Instructable Agents Across Many Simulated Worlds
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.137373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b8218296-d4d1-4fb3-9549-86778b499ced · outbound
This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T12:06:13.928391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7773e536-5c0f-46cd-af32-387bace27bcf · outbound
This paper cites A Generalist Agent.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning A Generalist Agent
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.148204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee4951a7-96b4-41e8-a93d-52ead39690a1 · outbound
This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Toolformer: Language Models Can Teach Themselves to Use Tools
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.153816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b3ec73a-373c-4837-b353-3632485fd75e · outbound
This paper cites Proximal Policy Optimization Algorithms.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.159784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f5de416-8b05-4eaa-941f-81e6c38fd012 · outbound
This paper cites Ui-tars-1.5.https://seed-tars.com/1.5.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Ui-tars-1.5.https://seed-tars.com/1.5
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.188438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fff9fb30-d0d8-450b-b418-2852e4dcca0e · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.178104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 63f560cc-b7a7-414c-9742-3d60d8d1ffd6 · outbound
This paper cites MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.172725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c068340d-82e5-4bfc-8a97-358fb9225445 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.288928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b597834e-65ac-4184-aa7b-55a3f85b7d78 · outbound
This paper cites Mastering the game of go without human knowledge.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Mastering the game of go without human knowledge
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.293160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5190ed19-ff39-4025-9f0b-1b0a40ef037d · outbound
This paper cites R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.852583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5d5f36a-580b-4632-9c2c-f75b2d64bdd4 · outbound
This paper cites Simpledeepsearcher: Deep information seeking via web-powered reasoning trajectory synthesis.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Simpledeepsearcher: Deep information seeking via web-powered reasoning trajectory synthesis
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.838223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b79331d-4abf-4c99-ae87-80df533c1337 · outbound
This paper cites A Survey on (M)LLM-Based GUI Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning A Survey on (M)LLM-Based GUI Agents
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.859933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1ca66a6-f7b9-400e-9271-02650cf71938 · outbound
This paper cites Kimi K2: Open Agentic Intelligence.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Kimi K2: Open Agentic Intelligence
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.866070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27400637-b343-4f51-a6c7-949a21e57c1b · outbound
This paper cites Qwen3 Technical Report.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Qwen3 Technical Report
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.873345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a72b6e33-61c0-4fe5-925f-537cf3c6a119 · outbound
This paper cites Terminal-bench: A benchmark for ai agents in terminal environments, Apr 2025.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Terminal-bench: A benchmark for ai agents in terminal environments, Apr 2025
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.297516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b4f033b3-4bd2-4ac2-8986-e97faffd5525 · outbound
This paper cites Grandmaster level in starcraft ii using multi-agent reinforcement learning.nature, 575(7782):350–354.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Grandmaster level in starcraft ii using multi-agent reinforcement learning.nature, 575(7782):350–354
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.301733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 61cca9ef-94aa-4447-a9c6-b488d97009d6 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.892299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4973e55-2653-4d3b-b064-4fcac0a9ad7a · outbound
This paper cites Acting Less is Reasoning More! Teaching Model to Act Efficiently.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Acting Less is Reasoning More! Teaching Model to Act Efficiently
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.899300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7440ca6-9008-4b1a-b009-db1466a79df5 · outbound
This paper cites GUI Agents with Foundation Models: A Comprehensive Survey.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning GUI Agents with Foundation Models: A Comprehensive Survey
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.907184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c7bff89-4e5a-4402-a062-ff05086fc6aa · outbound
This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T10:13:58.913195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f30ef1b8-4f0d-479e-ab63-386ec104bc76 · outbound
This paper cites Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.306336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e03d7d87-8c84-4017-a82a-6caa432876bc · outbound
This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.926566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 08fcf8ea-563e-48e3-911a-1627a6198afb · outbound
This paper cites OS-ATLAS: A Foundation Action Model for Generalist GUI Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.931773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5cef7a7-b027-4238-8b53-f758e5e068c2 · outbound
This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advancesin Neural Information Processing Systems, 37:52040–52094.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advancesin Neural Information Processing Systems, 37:52040–52094
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.310786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1828ce06-2366-41ec-a450-18bcf600ff8c · outbound
This paper cites Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:09:42.002663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfdb9337-e75a-430a-840f-bed423bbe53b · outbound
This paper cites An illusion of progress? assessing the current state of web agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning An illusion of progress? assessing the current state of web agents
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.948017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45c4b309-5d99-45f3-8a83-4f91d7c6f9cd · outbound
This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Reference 79
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T10:13:58.953503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 35636f95-d60f-40f9-b194-1bce3654d687 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning React: Synergizing reasoning and acting in language models
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.314798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 494210af-a3a7-40e4-ad71-358a6e0f58b5 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.966213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe9b2a5e-ecb2-4902-9605-207c538bea61 · outbound
This paper cites Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.973256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65780489-24fc-4086-8b40-c06b37a4b90a · outbound
This paper cites What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:58.979808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4c1acac-b9ed-4ac5-a94a-3d44a3cb00b3 · outbound
This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Reference 84
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.985799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fce82d0d-5011-463c-908c-89594276b620 · outbound
This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Reference 85
- 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 2026-08-05T06:32:48.257954+00:00.
Observation 325cd7da-af23-4399-a85f-939f70e260d9 · outbound
This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:58.998108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02579d63-69a6-483f-9ecc-3f05b6c82663 · outbound
This paper cites Proagent: building proactive cooperative agents with large language models.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Proagent: building proactive cooperative agents with large language models
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T10:13:59.319576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f342a48a-feed-429c-b143-49a246ced4b1 · outbound
This paper cites Large Language Model-Brained GUI Agents: A Survey.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Large Language Model-Brained GUI Agents: A Survey
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:08:28.109115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d64d02d7-b344-4ba1-a763-12477effec23 · outbound
This paper cites BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:04:50.009871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c11eb651-6cb9-48b8-86bc-db002b5dbb9c · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:13:59.024073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 22e84a3f-2680-4883-bcbe-c72e9efddaef · inbound
UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action cites this paper.
UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:03:39.391482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ec08c40-cb89-4650-908c-9bf4befba1d3 · inbound
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning cites this paper.
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:30:52.482488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c1bdfb4-9d4b-486d-8d94-bd7e8ec3c024 · inbound
AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management cites this paper.
AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T23:43:42.332690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3daea074-dd6b-45c1-b3b6-49926c3eb257 · inbound
GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents cites this paper.
GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:32:48.323772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ec197a47-1211-4fa5-8657-ee18f9a693f0 · inbound
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward cites this paper.
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 87a6a619-899d-40c3-8372-6c59c8a8604f · inbound
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward cites this paper.
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:50:45.688267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b732d0d-0c29-4eba-98fa-75812375cd22 · inbound
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL cites this paper.
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:51:44.108333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 716cf421-b31f-43c4-8004-eda73b532bb6 · inbound
WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces cites this paper.
WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:36:17.512296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e90e0a7-cdd2-4b50-82c6-f726033d0aa3 · inbound
UI-Oceanus: Scaling GUI Agents with Synthetic Environmental Dynamics cites this paper.
UI-Oceanus: Scaling GUI Agents with Synthetic Environmental Dynamics UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T03:00:31.594427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4cf683ed-4773-490d-8877-f19e112cd5a0 · inbound
Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection cites this paper.
Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7c82b1d-a33a-4814-88b3-60366538fc15 · inbound
MolmoWeb: Open Visual Web Agent and Open Data for the Open Web cites this paper.
MolmoWeb: Open Visual Web Agent and Open Data for the Open Web UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a8887ca-c3ef-4cfa-a792-be6318c1445c · inbound
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents cites this paper.
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6dae6368-e8a8-461c-a76d-aabaaf608fec · inbound
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents cites this paper.
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:07:40.699400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d295fb4-bc6f-4f2d-9444-1cf534063f8f · inbound
RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management cites this paper.
RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0644b139-8f8f-47ba-8ab0-173250a0fbf0 · inbound
HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents cites this paper.
HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3c4b806e-8a9e-47e4-bb89-f3e74a1cec06 · inbound
Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging cites this paper.
Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T12:09:59.957333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed4adf55-a94e-4a39-9156-6a7395238083 · inbound
AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI Agents cites this paper.
AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e9d3e4ba-ebca-4457-8ea2-1a355c1042ba · inbound
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation cites this paper.
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 587f851c-727f-4d67-b961-4fcd22577b0e · inbound
Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds cites this paper.
Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T18:39:55.906516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5b68a6b-ce38-455e-858e-e8846c863f11 · inbound
S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images cites this paper.
S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 83e4936c-8eb8-448e-b159-49288ca75470 · inbound
SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents cites this paper.
SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19542d3e-4b13-4b8f-a200-85ec055f4c5e · inbound
GUI Agents with Reinforcement Learning: Toward Digital Inhabitants cites this paper.
GUI Agents with Reinforcement Learning: Toward Digital Inhabitants UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 28557078-8ceb-4463-bd2b-e378c8b9bf24 · inbound
Faithful Mobile GUI Agents with Guided Advantage Estimator cites this paper.
Faithful Mobile GUI Agents with Guided Advantage Estimator UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 274bd553-e222-4cc3-b0f2-3d7c3119970b · inbound
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length cites this paper.
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 622f0497-0040-41a1-8772-6d8f62d32762 · inbound
Weblica: Scalable and Reproducible Training Environments for Visual Web Agents cites this paper.
Weblica: Scalable and Reproducible Training Environments for Visual Web Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4adde78-d67f-45b1-a84f-34f959825199 · inbound
Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability cites this paper.
Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 689b7449-db70-4b29-abb6-4629f00329df · inbound
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization cites this paper.
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 26176fcb-ca42-42e7-a80a-b631adf5a1b6 · inbound
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization cites this paper.
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 776e3726-0ad3-41da-8ae9-acf41f2fbc81 · inbound
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 176
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3a1372f-0a50-43d6-9f27-512be323ea65 · inbound
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 176
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 64dcf418-87f0-4cbe-b885-64871c049ceb · inbound
How Mobile World Model Guides GUI Agents? cites this paper.
How Mobile World Model Guides GUI Agents? UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb1fa078-1b11-4f65-86f6-2df62fbdbb15 · inbound
How Mobile World Model Guides GUI Agents? cites this paper.
How Mobile World Model Guides GUI Agents? UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:05:27.283138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b07ec9d-ecdd-4142-a904-4399555431db · inbound
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction cites this paper.
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 73
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e4074840-7a5e-41ed-b3e3-b55e3f173dec · inbound
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction cites this paper.
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T20:57:59.129990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cbb15daf-f61a-4bc9-9529-53a8572cd99b · inbound
Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? cites this paper.
Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fa28f032-804b-43a1-8fe3-277d565b71ee · inbound
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents cites this paper.
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c64de1d5-80ae-44a1-a6d5-82e1bc2feb51 · inbound
Covering Human Action Space for Computer Use: Data Synthesis and Benchmark cites this paper.
Covering Human Action Space for Computer Use: Data Synthesis and Benchmark UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.321363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 430a40b0-0bcd-4b6b-830b-a34a521b90d5 · inbound
Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.
Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 110
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T01:58:28.795280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fb8f7c68-e46d-4557-ba54-0414c7fbbde8 · inbound
Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.
Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 110
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:47:40.395327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e3bc0aec-27b4-4b2f-9c0f-42bb85553c82 · inbound
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections cites this paper.
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T14:45:49.512095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7e987ca-5414-4fc1-8154-2366ddbe870c · inbound
WinDeskGround: A Benchmark for Robust GUI Grounding in Complex Multi-Window Desktop Environments cites this paper.
WinDeskGround: A Benchmark for Robust GUI Grounding in Complex Multi-Window Desktop Environments UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:19:07.600603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a7ce9c3-5de4-4de5-a7e0-c99cb9ead3fa · inbound
SE-GA: Memory-Augmented Self-Evolution for GUI Agents cites this paper.
SE-GA: Memory-Augmented Self-Evolution for GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T20:42:46.390420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2538ddc5-c0bd-4865-8ea8-b9e11477b1c0 · inbound
Code as Agent Harness cites this paper.
Code as Agent Harness UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 226
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T10:58:14.520774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b7d9a004-dcaa-48ac-93e6-a0b34ee58850 · inbound
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay cites this paper.
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T02:42:59.307518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 528f3253-1bbd-4475-b670-7e364a09efa8 · inbound
CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision cites this paper.
CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T06:18:05.543191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68497067-71c7-424c-9026-714cd0cb1ecf · inbound
PANDO: Efficient Multimodal AI Agents via Online Skill Distillation cites this paper.
PANDO: Efficient Multimodal AI Agents via Online Skill Distillation UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T12:04:38.748410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ce3ba494-d484-4fee-88ff-f4734119a684 · inbound
CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents cites this paper.
CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T21:43:59.220893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f334b2d-df65-4715-a031-ddf6748762e2 · inbound
MobileExplorer: Accelerating On-Device Inference for Mobile GUI Agents via Online Exploration cites this paper.
MobileExplorer: Accelerating On-Device Inference for Mobile GUI Agents via Online Exploration UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:33:50.068791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae8ed666-5841-47ba-a8c6-d33d333b113f · inbound
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems cites this paper.
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T12:33:24.884989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4dd3407a-b8e7-4496-be85-87767697246d · inbound
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems cites this paper.
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:58:48.617757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80d68cab-5d84-4325-be18-4c6757b14be5 · inbound
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents cites this paper.
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T14:23:30.866947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 187d3462-8be0-4600-ac16-127bbdd1bff8 · inbound
PhoneWorld: Scaling Phone-Use Agent Environments cites this paper.
PhoneWorld: Scaling Phone-Use Agent Environments UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T07:43:13.439917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a834332c-8069-405b-9012-3c03c1f089ba · inbound
What to Format and How: A Benchmark and Workflow Approach for Document Formatting cites this paper.
What to Format and How: A Benchmark and Workflow Approach for Document Formatting UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:26:22.665054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a813d14d-4c60-4e1e-8b10-d9d48d09dc68 · inbound
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents cites this paper.
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:06:16.448597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 207b66e6-4f6d-4c6f-a11a-d052bbde2d00 · inbound
Demo2Tutorial: From Human Experience to Multimodal Software Tutorials cites this paper.
Demo2Tutorial: From Human Experience to Multimodal Software Tutorials UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T02:56:28.739173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8be8acd6-2d8b-4747-bf27-bdfbdde802f6 · inbound
AsyncWebRL: Efficient Multi-Step RL for Visual Web Agents cites this paper.
AsyncWebRL: Efficient Multi-Step RL for Visual Web Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T11:56:55.509350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b7e993e-1c70-442c-a279-94e2834f144f · inbound
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints cites this paper.
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T01:51:29.260143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b164bc1c-f59b-4dec-a95d-359f19b60087 · inbound
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints cites this paper.
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:06:31.394162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dbee079-90b8-42c5-9699-dfde25b82da4 · inbound
DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions cites this paper.
DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T01:41:29.394778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 61b87412-0c23-4e34-ba98-37a358088fd5 · inbound
StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents cites this paper.
StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T16:47:09.711345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b7733ab8-6c72-41d3-afda-9fcf7eb762aa · inbound
AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning cites this paper.
AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T01:47:31.132295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b536508-5ced-4349-901c-1d1cfa4170e4 · inbound
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks cites this paper.
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T01:27:30.662721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b4a3584-ce2e-4e57-af1c-679cc85e6fd8 · inbound
Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional Fields cites this paper.
Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional Fields UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T05:07:38.654126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation edde6dd7-3a4d-4390-bcbc-b06f366838ab · inbound
Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen? cites this paper.
Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen? UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T21:38:58.305205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f42e3eb9-715c-4ca7-a37f-780200ad97ba · inbound
ChainWorld: Composing Long-Horizon Desktop Workloads from Atomic OSWorld Tasks cites this paper.
ChainWorld: Composing Long-Horizon Desktop Workloads from Atomic OSWorld Tasks UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T06:49:38.859596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b64f3ab-5de9-4220-883e-507c9005d6c8 · inbound
PhoneBuddy: Training Open Models for Agentic Phone Use cites this paper.
PhoneBuddy: Training Open Models for Agentic Phone Use UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T10:59:46.445801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 12934652-4122-4f44-b0b1-fe64b0bcd911 · inbound
GPTNT: Benchmarking Real-Time Collaboration Between Multimodal Agents on Keep Talking And Nobody Explodes cites this paper.
GPTNT: Benchmarking Real-Time Collaboration Between Multimodal Agents on Keep Talking And Nobody Explodes UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T01:44:09.321015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4a0bb389-216f-4111-b4a6-2e1f9a323639 · inbound
Agent-Computer Observation Interfaces Enable Dynamic Computer Use cites this paper.
Agent-Computer Observation Interfaces Enable Dynamic Computer Use UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T07:04:21.282341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42d9e712-ea09-4402-bf03-080fd076cd74 · inbound
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T07:14:21.222921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dacf9851-5ddc-4f1e-938f-8d69895c8b3b · inbound
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:24:53.345620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06b788bd-9d91-427d-8e49-dff4d90a12af · inbound
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots cites this paper.
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T06:44:19.210310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfa6bb6d-0d89-4410-8ef1-ccbada18e4f0 · inbound
One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding cites this paper.
One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 81
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T07:04:21.757698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6f5dbbed-4510-4e5f-9b7c-f65b47514306 · inbound
Xiaomi-GUI-0 Technical Report cites this paper.
Xiaomi-GUI-0 Technical Report UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T09:55:40.316053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 662f5640-c0f2-4a86-bb35-3ed66badfccd · inbound
Xiaomi-GUI-0 Technical Report cites this paper.
Xiaomi-GUI-0 Technical Report UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T19:47:18.996918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 698230d0-796e-4c86-8307-9caf40dc4127 · inbound
What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States cites this paper.
What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 90
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:25:42.425459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2215a800-d821-457c-b693-f2b28e98b87d · inbound
What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States cites this paper.
What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 90
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T22:08:58.620596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3d42dae9-7f89-4a89-8db2-12c2e3b14198 · inbound
UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning cites this paper.
UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:16:37.302399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b74c6ba6-0d27-49b2-b84d-a9b00bd6fbf5 · inbound
SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL cites this paper.
SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:25:23.264527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea7e4970-021d-4755-9be3-c5cce40bb408 · inbound
SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents cites this paper.
SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:58:28.708772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d20070ad-eb74-4861-96d7-f33af5dcc337 · inbound
Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents cites this paper.
Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T14:04:44.771905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.