Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 33 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 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:40:39.936409Z

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:25:13.327952Z digest=sha256:2afea4f922b6f8537357cd3a30ab30067bda580aa1e869918522a8266d9aa3a4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.431735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.431735Z digest=sha256:8e844704a191bf0f35171f200fb6bf8fe8e0a0f583dcbc3d84323bdabfc4e4be

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.581491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.581491Z digest=sha256:b072d4a49c618c258b81e14ed3c04db84049556176e964359a1c4f0c3a2f876f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.669050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.669050Z digest=sha256:f7a6c8d2878d73c1b91f9d64ca5ada800fa569fbbe751254f89742b4ff48c4d4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.752798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.752798Z digest=sha256:8617b37cfbb4b42b4dbe32a7a39de092d43d8d3bc50567b04cb580679fb9114c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.829334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.829334Z digest=sha256:42f46ca3cb4c71bf43bd65833c89738850bbbc1d0093c97fab9247b6a69204de

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.947753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.947753Z digest=sha256:b00436d31740f2e9dc6af6d93159425b193ff1f5b75db929e433ab2475da1842

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.053149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.053149Z digest=sha256:01ee92de785766bab4c48d0119e5578d86542c752a1485b056310618bf1b7b24

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.164095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.164095Z digest=sha256:5925fed95526cee4f4fa37695a88fde8aa1da0f813d7e5ce238292cd7f6a0d08

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.276099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.276099Z digest=sha256:dfe5aa7b16a4eddc6ef350fb41cc455e7604a6b380672620471f33416432c662

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.363133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.363133Z digest=sha256:ac74f9615f17de8e5b4246941e8e586f86cabeac5e97eaa7a1ece26d6206ce90

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.413197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.413197Z digest=sha256:419de088d4a597547b897c193eaf2208eb961b986a30bac6b216c27b6693d393

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.500949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.500949Z digest=sha256:7164465e39f87448b9e42348b01db393c8b04ee879d34f8dad15c1983a53780d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.659875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.659875Z digest=sha256:1a8dd421f9b73809173be7258b90ec630e9e8a18259ee2faaeb6825cc807122a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.763290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.763290Z digest=sha256:593f2ae7dae39ccedff7824bdcbaf73e9e33cd81ce8cff83bc5d642631c9d9f1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.815524Z digest=sha256:935874b1d67c17be04970502fe45f3c4bc4e8c91b6cb9bd9fe497a5a4e1efbb4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.898449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.898449Z digest=sha256:abc315b38690d973f05230c938e42619b030fd2ef1a9820f532f5e2d3e04129b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.987098Z digest=sha256:fe5f0e26e22d02badf50954957cb132c0bd805522bae091d552e338be3bb9f36

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:15.059491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.059491Z digest=sha256:8a1bdda4d58e30cc1ce2514a41497d88d4cc58c7367eee0ea68733b21983f42d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:15.167234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.167234Z digest=sha256:2b06f662947fe2bf64e5b5e2127f1f21f28b10bdb2f76aa33e9c40d56ba0f939

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:15.259521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.259521Z digest=sha256:69cc987b5de18a615ebafc1dce0ca824f2ef880f7b48a867e97caf53fbf93231

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:15.375077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:15.375077Z digest=sha256:7c2802cae8cd4136ef9d5884c730314d97e5db0102f25212119026098fb10f17

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

Resolution
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:25:15.516775Z digest=sha256:656d61ee30dee6426691c0d5607f2f3df0ec13284be979d2be2a4e92267a8712

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:14.593433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:14.593433Z digest=sha256:f7cb418b30120b8230938aff0e11f90c901419bda49efe01ffc07ca6ffe7232e

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:25:13.262977Z digest=sha256:1ab8f0231aa0f6ac194d1f4af271cc0b39bc33327eb523791e530cee0cf876eb

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:13.505455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:13.505455Z digest=sha256:93d0ef40bde1b44142266b5b5a775949c6952986fd965f9ecde2fe4c7d99e85b

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

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T10:13:58.774968Z digest=sha256:d647422963e302ffe5a727c3e8df421a0f0e57487ba5c25f450d19f4ea00d268

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

Resolution
unresolved
no resolver link, observed 2026-08-04T21:28:49.949465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:28:49.949465Z digest=sha256:10cebd8b51e2610256118cddc5e231aebe12141cece1bd992fafd97082dfa653

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

Resolution
unresolved
no resolver link, observed 2026-08-04T17:40:08.471718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:40:08.471718Z digest=sha256:857f286459ab722aa8cf578149e6330a339b0c6eef9ea0eadee9afdb61e53b1c

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T13:28:21.961995Z digest=sha256:0829e4baeec62475b5f22aa72deb4aad32f231a37b3f2b103df06d00753a86ef

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

Resolution
unresolved
no resolver link, observed 2026-07-15T12:42:28.672749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:42:28.672749Z digest=sha256:904a18bc12f45305b9d1cc615bec1522f86689e826cf1b4d9fe213a958019a13

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T12:09:24.371878Z digest=sha256:6f7da6c51b4591e93878eb86b3158fdaee9d31564f889870d9a78c1e11031c16

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T03:51:54.310805Z digest=sha256:2752a804ace1a8c7f184afa18ad36b6e4a79f63fcd9a4ebde54b91f0226dfba3

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T06:30:09.945371Z digest=sha256:246649883184d986752ab8a8e5d2216854b1377ff1e401a1ce6cae335b11145b

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T03:12:19.414358Z digest=sha256:893fa51c3c853f5e5046f6750499affc829ee756a040577fccfa3caeb7435d18

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T16:58:41.558250Z digest=sha256:7c6391c1ce45eae8923e01df659a0d5e8d9c612e2acb224ed8139a5b29913bd1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:ad2e6cab1f3e3fd0655644b2ff06f480c8a8cb55c5a04c271d2e5c55932e3ec3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:28:34.562344Z digest=sha256:687d8d04fe381cf069d1736cdcfa09731b97fb23dea3a8cd0ca091443b3d1995

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T06:00:34.560405Z digest=sha256:0e532bf5379b1b91da4709cdce7c51dbbe843a5160f52451fe1508e5ab97cd86

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T01:58:19.295247Z digest=sha256:bf16d5e2b5364dc8481d85e7a0a094850355d86ded4861e580b4cf34ec28184b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T16:45:16.963802Z digest=sha256:e0c4178204c26ea47ef188a8d1344e65cbd9c9cacc611171d31563104cecce80

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T18:46:20.417039Z digest=sha256:d4b2c040242dcae98a118d85e295e6827c5444221379e900c9354d85597816cb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:23185f6226c61e3a281cb3d801390e4baa53f482d02e7406d5b5ca77867c68ea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:bd879a1b85fdb180443d6f5013f5d5f52aca6fe410124835e55bd106f0b81a5c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:41:20.001845Z digest=sha256:55259b87ab00243cb8a2c2b2b43719e213ef7e45d28cd6ed8d4dea6f1a4aaaa2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:64518b354f00b9c9cb546ab41280cdd674d56e95aa2748d517cb7b62a43cd85f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:5baaa1d1f98380afc8fbd198912be6df414c59acdcfa9ab4fe95f0da66dca630

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T06:39:34.199607Z digest=sha256:63a899d8090f7b441a2acb2b204113dbe4d8c8074d97e92ad4fd39611283a112

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=sha256:83e6f3795416b5d907d3a2d6212ab5535e4e7c6da0fe2e11bf5abfe5ce0402e5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T15:58:59.248141Z digest=sha256:7022a8d0fe7a1cbed883af6d5d4ea79ceeb60ebe2eef93102b2a5a50140d30c3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T08:15:49.428124Z digest=sha256:9609c2e353b96076ddbe9144729ff86334bb781ff8c04d1ffc79b704629497bf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:39:12.591090Z digest=sha256:2ef7d3fbbd3cdd51dbddd669fd191401df4ffd181265bd428c017283994aa31c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:07:48.137351Z digest=sha256:fdee77c2708613d002a3cc7d1657b644f5787fc22174751146f992d4c548f9c5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T19:37:49.661596Z digest=sha256:05ab75fcbb6977cef91fd9033c527c3e6a23c0c092af75283662f65313da138f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T05:26:53.441833Z digest=sha256:48b034d94e9c9946a9f092f8350ee78e4b667bf4d6da05f395c04bdc519f6158

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-03T22:03:26.625209Z digest=sha256:6aaa4c3fe20bd6dbd6a35cfc5b429a43f118312312ab4db71dee1dde9a0ae0f9

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:db819596c5c1f751f0928223b07dd03f1eb38ceabcd04011a9956b3edd1456db

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=sha256:1ab6ce3f2821622d838e6d7681afbe3f08dda9bbaf97584e84fad9faa1b20382

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:f5f8b9c06a82d9228430dc038d5ee0c2b8006a7bdc80accf88e6bfd24a88bd6f