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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:28:49.949465Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T10:13:58.774968Z digest=sha256:353b95f9ee2a2e76615a8ed07f721937e4ba3f9c58f29994c326b10fd759227f

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=sha256:979f216808b82b6e1eb1656c4d81e36d7c938a860e78d3dbe545e97e82cf4848

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=sha256:75d11c237127cf974f518963a16b6520917624a04c004b10ce5de8dc4424aa7c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T13:28:21.961995Z digest=sha256:d19617b60a1eb86c8b1447006a73ffe343a3618783a81866c3cf656fb8f2f49e

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=sha256:4052f61797daf4f9de8783355d65a6650cd5b02fe43b71106cfc7b9844838098

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T12:09:24.371878Z digest=sha256:910e024fb76d55f3a6eb811d1b27a88fde004e2e94d3c4c3f639a58657a071be

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T03:51:54.310805Z digest=sha256:78fc34a22fa4b82fad840384408e68d11c92cb0bf1c3675fdb9bfd77bd6c3569

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T06:30:09.945371Z digest=sha256:6129543bd40a6e4051513b59f496c3773b2341b92c86ebc3e04bfeaff5137a2e

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T03:12:19.414358Z digest=sha256:f4f04b138c51e698d024dec820deabd08b72575dd05c4658cceb7d06ac1fc726

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T16:58:41.558250Z digest=sha256:9035e2d836228d022e80b7e42544a6e03069b422c5fd7cc6dfc5c688334642eb

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:9ab060ed682a8ba64a17c632029aa77e7cf7d7a866566b7e7c0ed82ca1b765a2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:28:34.562344Z digest=sha256:77776e42476babdb9daa159ae743d8eb1a5681bf5429824ab62750b64df6a507

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T06:00:34.560405Z digest=sha256:c225a06acf6269bdd75b4eec0dbc72493a4c46551b29ce30d4b013ffba136b52

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T01:58:19.295247Z digest=sha256:cb9abed6ff45bbd35d7664d5ebd57f5bd3eb41733c865ae3e5adb0346ced4e4d

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T16:45:16.963802Z digest=sha256:e9943092b12c0b99254673e4ddbf6b30a2918b2abd5cc2198c47555c6173ec9b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T18:46:20.417039Z digest=sha256:1affee39e465c6751d7090ed9cac7424e1af8992e9712e5c629ac549f3347912

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T08:45:10.914047Z digest=sha256:9bad9a5c967749fbfe8d549e72a2efaed8a447c02a821dcd536519bc356f6801

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T09:06:03.221498Z digest=sha256:f20415ae49179808071a01d639e25b4a4860f97a4e3ba19fdc4a0ae287409178

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T07:41:20.001845Z digest=sha256:bb8814ac694dab7d76b9b341e45bcc1aee3865660919994c8b1b56e863f3dd29

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:f1f46eeacf4984b9cacb89a577748fce33849c113d33052f9f0d109dde423d02

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:09424c25f9be1ddf8499e345b007d0ef8bec4f42fd0ce653883b4b8b00a811be

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T06:39:34.199607Z digest=sha256:823338dd61dcb66f71f5c2f45a734223c77b53216ea5d4c6b87710b2b2b81dd5

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:ef8de7e9ca180d9a6ff53a74874f19ef8d87d2f3860316511a4e85bc49715dc1

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T15:58:59.248141Z digest=sha256:03ed9a46e20777c790008bb471a4c1d92ec7e3e53f5a0325879eda1191699094

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T08:15:49.428124Z digest=sha256:10c54523fdbdfe0b5cfebd4960ffe42583bc8e1dfacca92b5b357aa8fe6c90b8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T06:39:12.591090Z digest=sha256:c422828f6a307e04aee1653c2af3dc61f61777d6dca6e88568075103ccbfc70f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T06:07:48.137351Z digest=sha256:1a163097dc9745ec30d5050c17c6883d3d66c47bb336b8cef3582b459493a9e4

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T19:37:49.661596Z digest=sha256:2846c6c5dd70f78128ad7f8b383fd39d23f271199f2a9603612fbd9e4fd1a36b

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-01T05:26:53.441833Z digest=sha256:044d6c4ed6f4647f9e5912a6ebf3f67284ea47e67ed48d49dada4acf96f5e578

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-03T22:03:26.625209Z digest=sha256:8681c01694b984527e1d56dcf5642d5f678d835cabfac0e94cceec6b970df087

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=sha256:4a9afe9d3de801bbeb7f027ac1f2ee96d899c00955627f11c4e5f63e41301f33

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=sha256:9cfde6a9010c49a9f12007774c5fd3d8f244cf4faa18c3ede646cda48447ab8b