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Paper Citation Record · LEDGER

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 34 inbound Pith citation observations for arXiv:2507.05720.

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

pith.paper-citation-record.v1
2507.05720 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:15.516775Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:15.667058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:46.413359Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6dcb8f5-1007-49e2-8bb5-515fce356d95 · outbound

This paper cites Anthropic.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Anthropic

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T19:25:16.291161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:25:13.327952Z digest=sha256:7e78bd943b296ee12499bf79f24082473dd93b0021dff7ee95bb603d143ab398

Observation 576aa0c9-9596-4b60-a2e1-ec8566a2860c · outbound

This paper cites Qwen2.5-VL Technical Report.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-06T19:25:13.431735Z digest=sha256:2d9fa04246c1dded01b9e217c8fb79172e5e9de33ac9b3a66a2b3fa7a8d8990e

Observation ca850bb0-9c2f-4c4d-950c-0094caa3da06 · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Group-in-Group Policy Optimization for LLM Agent Training

Reference 5

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source=pdf_text observed=2026-08-06T19:25:13.581491Z digest=sha256:ab879694cb3f0a55a86afdb9b11fab959d904387d619b75b06fb18d64f4a274f

Observation f46be06e-2ed8-4fa3-963e-6116923fbf40 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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source=pdf_text observed=2026-08-06T19:25:13.669050Z digest=sha256:ce944b7b5a43ab01b30d9ff02e23602349960a004050a9bb040c4b547c342293

Observation ea2e2c8e-5f4a-45fb-8318-28831894267c · outbound

This paper cites A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Reference 7

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source=pdf_text observed=2026-08-06T19:25:13.752798Z digest=sha256:5c9ae6e5b50eac5a37d82f25047cd24e33f8e72d84dd3e0da25895cb90e1c8fd

Observation 1972ed27-6b21-4592-8db5-70eda511947a · outbound

This paper cites Webcot: Enhancing web agent reasoning by recon- structing chain-of-thought in reflection, branching, and rollback.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Webcot: Enhancing web agent reasoning by recon- structing chain-of-thought in reflection, branching, and rollback

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.829334Z digest=sha256:32e94dc4276a646fdd5d60809df8c3f3d78f37d47df3dcf071458713600037fe

Observation 969098ea-d8b0-4762-a8f5-1729a0d8092e · outbound

This paper cites Understanding the planning of LLM agents: A survey.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Understanding the planning of LLM agents: A survey

Reference 9

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source=pdf_text observed=2026-08-06T19:25:13.947753Z digest=sha256:e4e3f6263c71bee8c9b92c08f0072b7d52d78ba2a52cbb97457c9da2de371f7d

Observation 7ff5e137-d65a-4927-9de1-7b55855348f0 · outbound

This paper cites GPT-4o System Card.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment GPT-4o System Card

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.053149Z digest=sha256:bbd90e885f9b70d95c4ffc21ad43cab1440cacf26209c3fce7435d6143470f24

Observation 34ae667f-c7b6-4cf1-a984-7e9718c6209c · outbound

This paper cites InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

Reference 11

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source=pdf_text observed=2026-08-06T19:25:14.164095Z digest=sha256:beb9d6bcfcb16ea13aaaef616d6894626f28c581dc3b809eb932c6820282879c

Observation c7df2476-8c0a-48d9-8a9f-2cf60b09acd7 · outbound

This paper cites ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.276099Z digest=sha256:d126d343a975b508aa9d573eadfca5c167ba418fb14303c824f568902a2fa871

Observation f4db16d2-c08d-4299-a4b6-645f8904d456 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 13

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source=pdf_text observed=2026-08-06T19:25:14.363133Z digest=sha256:f16045370cb61bc9b682f2e44cde674866f7d7f6d49769eb33b1231851e238f8

Observation 27403f17-307e-4b33-920a-ae00166372af · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.413197Z digest=sha256:627ca3cff8398fb734cb977d2dd52c65cc8aafe491fb384b9f3323c8a65e536f

Observation e414f609-f21c-4afd-a036-6395d8f8a743 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Proximal Policy Optimization Algorithms

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.500949Z digest=sha256:1a5f4707111ec14362f8c42bd91ac5abed1b5396a38943d131711ee1b0df5001

Observation c9d985b2-e4d4-4630-a71a-c02dc279676f · outbound

This paper cites OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Reference 17

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source=pdf_text observed=2026-08-06T19:25:14.659875Z digest=sha256:4eef6fe1f61a95f7fbe89f4cedc755f8131538959ad028ea22e6d8dcb70c373d

Observation 07fae943-36b9-42f7-bd29-663d8f9a71aa · outbound

This paper cites GUI Agents with Foundation Models: A Comprehensive Survey.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment GUI Agents with Foundation Models: A Comprehensive Survey

Reference 18

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source=pdf_text observed=2026-08-06T19:25:14.763290Z digest=sha256:d1fe671914888878e04db7b372976c7f9bdd8af4261f5288c06a0c79116e9219

Observation c87c052a-2cc4-4289-b899-1ada62990ee1 · outbound

This paper cites net/forum?id=LPG8pPSfQD.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment net/forum?id=LPG8pPSfQD

Reference 19

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no resolver link, observed 2026-08-06T19:25:14.815524Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.815524Z digest=sha256:a5575b5c4cf7274a43b9b453aa349550a7485e7bbd34ed72c37b9c7a413efe7f

Observation 7c4bb803-937f-4e66-a8e7-e1ed7125e31d · outbound

This paper cites OS-ATLAS: A Foundation Action Model for Generalist GUI Agents.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.898449Z digest=sha256:bdc1b72ad4c19e2689761eafdfa83c6260a71055faca70317e4e93a3b5f9884c

Observation f8971c1c-42bb-4ec5-be13-e442f3de724c · outbound

This paper cites ZeroGUI: Automating Online GUI Learning at Zero Human Cost.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment ZeroGUI: Automating Online GUI Learning at Zero Human Cost

Reference 21

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no resolver link, observed 2026-08-06T19:25:14.987098Z

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source=pdf_text observed=2026-08-06T19:25:14.987098Z digest=sha256:8f5e690bafa614458e4ac16a9d9420f8aee9d2ab1f3bbab0c0ac7813ac33e93a

Observation 9b759d12-6ff1-4189-8a1c-7a4a11f82a21 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 22

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source=pdf_text observed=2026-08-06T19:25:15.059491Z digest=sha256:5f2d2e4206d798dafc624c26f107613660f9654c2f2f5e1f9a67c80af57250bd

Observation 99de16da-ae23-4fe6-b540-ba5d18d94c12 · outbound

This paper cites Large Language Model-Brained GUI Agents: A Survey.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Large Language Model-Brained GUI Agents: A Survey

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.167234Z digest=sha256:b76b7accca84561dc74d2005b34ed36e81e2b5f9c8c4ece820346f0500fd1585

Observation 3baabd57-cca2-4b7d-8a47-8eaaf5a6d485 · outbound

This paper cites GPT-4V(ision) is a Generalist Web Agent, if Grounded.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment GPT-4V(ision) is a Generalist Web Agent, if Grounded

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.259521Z digest=sha256:2a0637eb2fe1d4093aeb8497a66e0842959fd76cb52cfc2e3566f83b4143c441

Observation 69bdcee3-0121-4858-af68-24f41777ac12 · outbound

This paper cites GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

Reference 25

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source=pdf_text observed=2026-08-06T19:25:15.375077Z digest=sha256:38090440ae5ae617cad4c0a7b19646eb703194b67a231986aabea51d33af0af0

Observation 67bf531f-2d18-4b56-8d1a-aa57fe5fcc82 · outbound

This paper cites Create a calendar event for tomorrow at 20h with the title ’Call with the Team’ and the description ’We will prepare for team roles.’. The event should last for 30 mins.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Create a calendar event for tomorrow at 20h with the title ’Call with the Team’ and the description ’We will prepare for team roles.’. The event should last for 30 mins

Reference 26

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raw_fallback, observed 2026-08-06T19:25:16.121157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:25:15.516775Z digest=sha256:b7f8820d96f00802e42b6436bd20cf153bfd5e3e94ccf7314b46e7cc099af092

Observation 690966ed-c226-4dbc-834f-5658b79c412c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

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source=pdf_text observed=2026-08-06T19:25:14.593433Z digest=sha256:83eac2e1ff8acc9bdb55a0d20b9c7b3b21453ecd7c4591e297babf07947b0882

Observation a1dfcd8c-5dc4-45fe-b9f4-d98706c0ab84 · outbound

This paper cites Anthropic.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment Anthropic

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-06T19:25:16.564804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:25:13.262977Z digest=sha256:6651ae81be0ee18d5af6ae68e58b088916d939ae160cd8be0a6e709372939ee3

Observation abc42732-20d2-48ca-8db9-f658d6e8d679 · outbound

This paper cites WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 2025

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source=pdf_text observed=2026-08-06T19:25:13.505455Z digest=sha256:0a3970ebb0e2649a93f15e14c9906646a6d7ff21110b522fdf72cb4729e55de7

Pith citing papers

Observation 63f560cc-b7a7-414c-9742-3d60d8d1ffd6 · inbound

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning cites this paper.

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T10:13:58.774968Z digest=sha256:aa8bd124a78e13bc58210f8a920319cdffc0d85a9b5028f6d098424d67a4d539

Observation 3a8e54aa-775a-42e5-89c2-6ac17b513180 · inbound

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:28:49.949465Z digest=sha256:61c3768fcabd1eb4f2633fd194591612846bd2972c17099d666be81594acfca9

Observation 5ae22897-4d5e-41b7-a0f6-50398cbe2574 · inbound

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight cites this paper.

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 81

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source=pdf_text observed=2026-08-04T17:40:08.471718Z digest=sha256:988a970f0dbeeb9900a36804317b9e36de3c73449229e6af7ac16ac5a2706c88

Observation 0275ec03-9afc-4f46-92b8-d3a7355f8473 · inbound

RISK: A Framework for GUI Agents in E-commerce Risk Management cites this paper.

RISK: A Framework for GUI Agents in E-commerce Risk Management MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 18

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arxiv_id, observed 2026-05-18T13:31:25.053135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T13:28:21.961995Z digest=sha256:22ee41ed29890e91588861021e0fb77a8c41a2ab48bb66b777d5073dd6f43379

Observation efb470d7-759a-483f-8b25-e9a0731b127a · inbound

SlowBA: An efficiency backdoor attack towards VLM-based GUI agents cites this paper.

SlowBA: An efficiency backdoor attack towards VLM-based GUI agents MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 46

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source=pdf_text observed=2026-07-15T12:42:28.672749Z digest=sha256:f42b3dfb7ae2529c1c89744eedf7d56cb8f86ff85ba59f4b01fafb87944a1784

Observation 1a3ebfeb-a48c-4ad7-9c76-b2aaf3e30458 · inbound

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning cites this paper.

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 17

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arxiv_id, observed 2026-05-11T19:21:08.806694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-08T12:09:24.371878Z digest=sha256:e11bc4a763730bed85acd552821c05ac30785bd40ffea9b1ae70404d8afce13d

Observation fbfbe4dd-dae8-4ec8-9efa-c94f4318c101 · inbound

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents cites this paper.

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 53

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arxiv_id, observed 2026-05-11T21:56:11.716277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T03:51:54.310805Z digest=sha256:16adfe7618f7a7bdeb18247b4a9b005e7a0e76cfb01d5cc4f565ab375ff3f193

Observation a6998ae5-9bde-4c9d-a8e8-e95c95c4faf7 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 76

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arxiv_id, observed 2026-05-12T10:21:29.723892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T06:30:09.945371Z digest=sha256:207ee713e84b4e64cb8d79d330e62b929965eb510ea5b0658b099cfbcb896118

Observation 0a30f749-90ca-4ef4-84fa-e6a68e7ddc80 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 76

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verified exact
arxiv_id, observed 2026-05-11T22:11:17.105373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T03:12:19.414358Z digest=sha256:580b008dfcd77a4ba81c5cc8ee4a5639785ddd88c6a71dcf7da27ae44ba9555b

Observation 7c510af3-1617-4057-b248-c2c0fa308fff · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:02:40.767243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T16:58:41.558250Z digest=sha256:c35fbaeb3ecedac4446d49761c7f774c7e20a49737fc6611784d940b024af5cc

Observation 2863d9bf-e91d-4564-bd58-260ce13cf7cd · inbound

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants cites this paper.

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:29.543329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:71aa574ea53f0bb1d2be6d94e54a802c58a8b2a6e9c9e63bdefa8a762cf3280c

Observation 21044062-974a-4928-a17c-e81906e752b0 · inbound

How Mobile World Model Guides GUI Agents? cites this paper.

How Mobile World Model Guides GUI Agents? MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:24.120408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T04:28:34.562344Z digest=sha256:2d8cbcb947d5a720630350a89348596290b0aaa211eea8dfee69ee496aad6965

Observation 87ae547c-8f90-40d8-a953-6911361e1925 · inbound

How Mobile World Model Guides GUI Agents? cites this paper.

How Mobile World Model Guides GUI Agents? MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:05:27.174882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T06:00:34.560405Z digest=sha256:d5776136beec3bb264e3b0f46d35a83acc2b2f2e59a9b11607b4847d9ea74c63

Observation 15c3040c-152b-4a25-97bf-2794e2f92f60 · inbound

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:58:28.798857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-15T01:58:19.295247Z digest=sha256:b6faa3671ce0f0291099eb2ba315a2e2dc31fd519ae6e62e6d90fdb376641e88

Observation 4bd35668-b932-429c-9454-db734f1fe880 · inbound

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment cites this paper.

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:47:40.433083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-19T16:45:16.963802Z digest=sha256:a93a717bb4cec631e537052ccfe3694779c1bfb0646df08aa01072e8f7e80d39

Observation 26d1e9dc-e6af-4611-b782-43e1d92e7e53 · inbound

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control cites this paper.

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:48:53.309473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T18:46:20.417039Z digest=sha256:e0156dda2cd2ed4602636f34b4e335b2b5498d340731b29306a2fe313d112da8

Observation bd8e26d0-56d1-46bb-9b71-b322cf9db82e · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:49:53.857367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:0774a47e36c8d34120acdab90f2b6cdaec6adae7e002b4cffd4d26d60fa802a3

Observation d7c09be8-2028-4ab9-b67d-f3049fe923ed · inbound

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents cites this paper.

GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:06:20.173865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:4addfd4330e7268b6c806ebef1dde9b1db3ae01679d41ebba6bda02b4dffbf9f

Observation f42979d3-b9e7-40a2-8235-e7dfb4472da6 · inbound

PhoneWorld: Scaling Phone-Use Agent Environments cites this paper.

PhoneWorld: Scaling Phone-Use Agent Environments MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.465174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T07:41:20.001845Z digest=sha256:1101f3ba0fe34e1a5c34a58152e62fdbd9c4d608657c578e6907a1c4edd3a121

Observation 76350695-f64d-4dbd-bbed-099933d38905 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:56:13.468062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:f5d296e1836054bd11533031511e1557e952ca0696ac7461382bea07ad76a708

Observation e2aac60f-1170-4956-b3de-3f4baa7949bb · 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 MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:09.682368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:074e06718d0c056b165eed43f29844a017524dbbc164e079e4e205546b153b31

Observation 708df9eb-6a98-416f-b902-80cfd915f4b9 · inbound

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:08:33.447615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T06:39:34.199607Z digest=sha256:189340fce8d8e4942e49b1666e815e231305a7b33da22fe3b0ac469e8f909c13

Observation 523ffd92-8128-4ad0-bb08-a339d02f10f2 · inbound

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T02:12:22.599076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:12:22.599076Z digest=sha256:8ae546736bfb7bd1df4444d27f220e7011655cd77b0dc121c019b9d42b50e9b0

Observation 57f0ba21-c697-463f-bc2f-5afc9becc450 · inbound

MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization cites this paper.

MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:29:35.726985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T15:58:59.248141Z digest=sha256:f281d61ac582be5a0571ba393a232e820f972ce8921c51eabf18b1a04160903e

Observation e40903f4-d89d-4bc7-96be-26b568f4e670 · inbound

PhoneBuddy: Training Open Models for Agentic Phone Use cites this paper.

PhoneBuddy: Training Open Models for Agentic Phone Use MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:59:46.414991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T08:15:49.428124Z digest=sha256:d0e7d4e7bb146fd3589a971ce43cb8c3762d0abc25ca057405d0e639dc0de237

Observation 261967c5-1828-4791-b59d-5bb38452d8ae · inbound

GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots cites this paper.

GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:44:19.182992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T06:39:12.591090Z digest=sha256:544bd4f9fd284975ebb6128b936c56d47257309e306b96f20712efd1bab90f06

Observation 62da6060-afcd-4fd2-9fb9-8a4a31ff7234 · inbound

Xiaomi-GUI-0 Technical Report cites this paper.

Xiaomi-GUI-0 Technical Report MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.273011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T06:07:48.137351Z digest=sha256:599d30cc634be5dcbbfab5f841d70256a798004fcd97815c64f0b6aee5e6f299

Observation ec939f23-337e-41e1-83e4-ab99c1f7fb6a · inbound

Xiaomi-GUI-0 Technical Report cites this paper.

Xiaomi-GUI-0 Technical Report MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:47:19.031664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T19:37:49.661596Z digest=sha256:cd3fc67f1c4c950dbd2ffec71e16ee9b779528178a6932ee7c2a153b1a94d5e1

Observation 602e9c74-b509-42a8-96db-10e91dd21869 · 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 MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 110

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:42.439626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-01T05:26:53.441833Z digest=sha256:c07062d8999dfc803cb347d18bcec5e65cda665acba106c53837650d27e76862

Observation 53026ef0-790f-482a-b9ef-8fa5ff3e5ed3 · 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 MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 110

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:08:58.675212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-03T22:03:26.625209Z digest=sha256:505d3a32c6f712dcc2e55c28cca29e1b8a6561abb2d349fa8cc357d7d52d9418

Observation f9893b93-b9d0-42f5-8f8a-aa23860c5100 · 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 MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T06:25:23.264527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:25:23.264527Z digest=sha256:65d2cc0a74e8316f74912c932a50080420dc6af9cc6455ba6a48fc2f77a693c5

Observation c7f73eeb-98a9-4b3f-a109-656ac294941f · inbound

Scaling GUI Agents with Visual State Transitions cites this paper.

Scaling GUI Agents with Visual State Transitions MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-31T23:04:32.783554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:04:32.783554Z digest=sha256:c3a8b4a6cdb39ce4083eb5cf7463510c513ce480e9e36137e2edd69b50fc027f

Observation 14cf9d17-7cd4-4318-86cc-9c162a8ecd3b · inbound

AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents cites this paper.

AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T21:40:39.936409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:40:39.936409Z digest=sha256:111bcf69f7b8f39431beb70093489e08fe20369c5b49d5cc155dabfe27f51634

Observation e78ed43e-ff5f-469d-9205-7db68e9e6b0a · inbound

Software Engineering for and with GUI Agent cites this paper.

Software Engineering for and with GUI Agent MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment

Reference 196

Resolution
unresolved
no resolver link, observed 2026-08-11T20:19:15.667058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:19:15.667058Z digest=sha256:87f508eed364409d5bd91db2f035654ce2eb43d4ab4ed91a65d78b33374bb3e0