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Paper Citation Record · LEDGER

Benchmarking and Improving GUI Agents in High-Dynamic Environments

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2604.25380.

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

pith.paper-citation-record.v1
2604.25380 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T00:54:49.351703Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:40:18.807798Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact26
  • verified fuzzy5
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7492e354-6061-4e06-904f-49468de4511b · outbound

This paper cites Qwen3-VL Technical Report.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Qwen3-VL Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:00:56.128307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:32dc6dd1f810950c20f1f30c88838848be50b3aef006b3b8cf4505c94936dd13

Observation c1805ef8-3be1-43b7-9b4e-6f0c6c154b4f · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.707333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:efd1f020dd1ab4999b3f54b6ce0af3ac14d7fc14e32970db9e88f57545f2eec7

Observation 71994b3b-ec9b-4d13-80cc-2b482913c588 · outbound

This paper cites D-gara: A dynamic benchmarking framework for gui agent robustness in real-world anomalies.

Benchmarking and Improving GUI Agents in High-Dynamic Environments D-gara: A dynamic benchmarking framework for gui agent robustness in real-world anomalies

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.137036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:45bff99bd000b2147ac561dd89f06cc43d9474b133735af788bd6d938420f451

Observation d2c7fbbb-a175-4549-a430-2572c826a636 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.730989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:fbbef791dd8a97190e11240a36773b37ce174370aa5d5186d73f2fcfb6b75886

Observation caa7070a-13ba-47d5-9c56-9474d0115b4f · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.715405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:5ace5a139131ea695b6a64287ca49e7ba10fe270374e172c266ee1263e84f067

Observation 75077ea7-4577-466b-a4d0-b4b99e655f27 · outbound

This paper cites Chain-of-Memory: Enhancing GUI Agents for Cross-Application Navigation.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Chain-of-Memory: Enhancing GUI Agents for Cross-Application Navigation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.107094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:88a8a42087bd81f50bf153c73584e9ae633a89f71a45e7c8b51cce53ea09e522

Observation 8326660b-d395-4031-97c9-2c1ccc3fd5ff · outbound

This paper cites The Unreasonable Effectiveness of Scaling Agents for Computer Use.

Benchmarking and Improving GUI Agents in High-Dynamic Environments The Unreasonable Effectiveness of Scaling Agents for Computer Use

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.086061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:6421b9add912a960a23f0d949fb3ec9a9bf8d8b117fd30e48763435b5ea8f977

Observation 429c4d92-3f10-4b8a-aaa3-c2460d09cfe4 · outbound

This paper cites Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:09:01.446022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:5c25d9c5da8722999a05c8dfe57eb6a05303724dd94ed0a952a5b20699a7e98f

Observation 7d8bdbba-e9e2-4c21-af96-42e6b75f2e53 · outbound

This paper cites Seed1.5-VL Technical Report.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Seed1.5-VL Technical Report

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:06.820639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:8109fbeec9f9ca3f4ad2d65f524262b833453f848c15800e39b61fc6ae84e603

Observation 730bf821-22d9-4010-8343-7c4b08474b51 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.719458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:131ac2a8cd37156274cd22d1d36b3c2e51f59f3286234f96800fc79dbf0ccd5e

Observation 47927087-519c-4dca-831f-d1d392c79e01 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.681178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:e57926a4ac74fa3310185d16b20733e54b5f3c6e1bb4e3dded152c71e404349f

Observation 4958571f-9cd3-4f46-8077-e2ed800dd40c · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.689040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:bfc24ab025cbf6efcbe5a49720e22ccb5a22a1743d1e3cba94c9f6f7b7c88596

Observation d16e10a5-2d49-4e99-90e0-2980a573347d · outbound

This paper cites InProceedings of the computer vision and pattern recognition conference.

Benchmarking and Improving GUI Agents in High-Dynamic Environments InProceedings of the computer vision and pattern recognition conference

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:57:00.723464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:03f9bf128177ead1c5103141ffae34fd11a450dd4f622f172e1467ce89a15562

Observation 0ff44f55-6ed5-4854-a2ee-e51153470564 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.673579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:6deefeea3ebd770d188dd37e2b8498c9654512408cc238a4131a5b1bff0ac6a9

Observation 994816bd-2518-4f7d-bde1-ba31e2a86eb9 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.677212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:b607969f545705a8246bab3570b97144ab4f4a4c3dc107d9bed2356cc5925c4a

Observation 897a8fbc-2d9c-47c0-88f7-cd90dcea2453 · outbound

This paper cites UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding.

Benchmarking and Improving GUI Agents in High-Dynamic Environments UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:00:56.152122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:eb9f429fe9c41855f9e950af276db790c33d7ab110776ea92f49b494dfb1d9f9

Observation c7edae07-3ca8-40c7-8463-814820dfe020 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.669696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:c3fd04b1c9e824220b461fd4203650e768e27be8ca7b1b08fb66b5dd8df3a267

Observation f1423d3d-3fd5-4b61-a7af-e1b144c336c3 · outbound

This paper cites Gui-rewalk: Massive data generation for gui agent via stochastic exploration and intent-aware reasoning.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Gui-rewalk: Massive data generation for gui agent via stochastic exploration and intent-aware reasoning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.116023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:c7b43e946a878ae6331838e05e059e46e81e4306f344d0d5b99f0e24b21f9624

Observation 853e0da8-470b-4ce0-8e2a-658d15edb003 · outbound

This paper cites Label-free GUI Grounding via Confidence-guided Negative Reinforcement Learning.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Label-free GUI Grounding via Confidence-guided Negative Reinforcement Learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:57:00.728631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:9e9bc47d1c64d89825c3deb26434dbadeda19ca020390093c7342a12dd422ad8

Observation 93afb933-dd91-4dee-af70-c679f3876b25 · outbound

This paper cites LONGHORIZONUI: AUnified FRAMEWORK FOR ROBUST LONG-HORIZON TASK AUTOMATION OF GUI AGENT.

Benchmarking and Improving GUI Agents in High-Dynamic Environments LONGHORIZONUI: AUnified FRAMEWORK FOR ROBUST LONG-HORIZON TASK AUTOMATION OF GUI AGENT

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:57:00.685154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:7e09c7e42f842a320c5f4cacba598f39c85f2fe893fb0347f29a17f6ab184b35

Observation 591bb688-a9ca-40ff-90c3-69f6b2be5468 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.692631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:68627f9f8fa4f9fca0c846dcaa8659a73b2e4d0b6289fd3bb08d49de26c9c34e

Observation e8e91b68-715e-4068-a6c2-80a0de427640 · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

Benchmarking and Improving GUI Agents in High-Dynamic Environments GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:10:58.174913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:bc0c2822a775529d1066eabc079b3130301005217c248c5a36482c54df7bc1cc

Observation bae26676-c4d3-45a4-947e-571dddf4b6c5 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.699926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:2ca76761aed3fe6d1f12907ee923c99c2bc37f93dd6786a81cfcef84ec600445

Observation 6ac226e1-876f-4936-8399-e37dd30fd5c3 · outbound

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

Benchmarking and Improving GUI Agents in High-Dynamic Environments UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.141146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:c3592a09de08de58e230ed4bb295454eaf1bdfd321046b0d2982b6e01159f935

Observation 9f00c9e4-889f-4a0d-8c3c-2454324b43f4 · outbound

This paper cites Osgym: Super-scalable distributed data engine for generalizable computer agents.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Osgym: Super-scalable distributed data engine for generalizable computer agents

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.169102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:ceb94ecc042f317b64e07a104139a2b36158b18adbf705a77d8359690b7e3c26

Observation 245571c0-cabc-48fd-92be-51a51649bc4d · outbound

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

Benchmarking and Improving GUI Agents in High-Dynamic Environments AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:06:13.928391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:e9dc04b63b255ebac8fd0fc7e85f294aae32fe976d8dcc084ffb44b9730b3f2f

Observation f961aaa8-bd31-4822-bfe8-ebf1fb8f5c79 · outbound

This paper cites 8 Model Card: Towards Generalized Real-World Agency.

Benchmarking and Improving GUI Agents in High-Dynamic Environments 8 Model Card: Towards Generalized Real-World Agency

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:57:00.696325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:0febc5ff5964505b5e89b7774477c435c2192425c9aabca26d887cf04e780e54

Observation 6de9f7b4-fb8e-4662-bf5e-f77b598a8b3c · outbound

This paper cites Hats: Hardness-aware trajectory syn- thesis for gui agents.arXiv preprint arXiv:2603.12138.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Hats: Hardness-aware trajectory syn- thesis for gui agents.arXiv preprint arXiv:2603.12138

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.176826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:40b7e88a45591008c6620deacb4b8de26e52aceba74ee99ea382d41d8830fcdc

Observation f1114e37-ef62-4c0a-959b-2314312d745d · outbound

This paper cites Gui knowledge bench: Revealing the knowledge gap behind vlm failures in gui tasks.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Gui knowledge bench: Revealing the knowledge gap behind vlm failures in gui tasks

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.181281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:43407d8c0d26441209ff265a5cb1aa6a26f745304296c2d2dd01fb9733a30cf5

Observation 9950c063-de23-4690-a67b-0b7a39228e37 · outbound

This paper cites OpenAI GPT-5 System Card.

Benchmarking and Improving GUI Agents in High-Dynamic Environments OpenAI GPT-5 System Card

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:00:56.061823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:b0ae7ff528d538c5eed54a7f3d15c4d0b72d7c2abce06b7bea23fbcd69c1acee

Observation a4d685cd-2ebe-4fb9-a6c3-1bc93f14ede9 · outbound

This paper cites CoAct-1: Computer-using Multi- agent System with Coding Actions.

Benchmarking and Improving GUI Agents in High-Dynamic Environments CoAct-1: Computer-using Multi- agent System with Coding Actions

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:57:00.703702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:df6c2ace0eeade4bf5c84d02ad7fe021e55eba79594439a81c407c8e62985c23

Observation 397d0cc4-cc82-47e9-b2f9-491052472dcf · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.710935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:77b91c14c398ae6ed82008a6e0fe781caf130aa8d01f033efbb173b8b7f56653

Observation 261deb36-9c20-44b7-9b2b-484e2bbfb69c · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Kimi K2.5: Visual Agentic Intelligence

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:00:56.157343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:fd03ab2c0ccd70a9d0544808a7ab8f7dbe5e40fa7366801ee7ebf878a61a5b03

Observation 485e1371-6ea0-495f-b497-58b762ca27d3 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.657945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:56a746c69450d47f4aafd2f0d24b6579b1b3b469656691e860dc672fb3995116

Observation 7e064875-9995-4eaf-a18a-460f1c9aeef1 · outbound

This paper cites Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.Advances in Neural Information Processing Systems, 37:2686–2710, 2024a.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.Advances in Neural Information Processing Systems, 37:2686–2710, 2024a

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.038850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:47552ee0aca37c2b0a137734bf6e2129e60a246ac08c418df44d656e0d3505d3

Observation 07dfb6cb-cfaa-4628-96ba-d800f39fc5c4 · outbound

This paper cites Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., and Cao, Y.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., and Cao, Y

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.054240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:231a9e75f379d5fe06c6731af89fbeeb95c6dd61eb9c41054a2c61894d61a856

Observation d5a46be0-4aa8-499a-825f-ce5c594cb73b · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.661669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:86fc0374e901edebf19e323294c1d289968645429ccbd8717e780c3df2d1cbe0

Observation 1b43445e-c8ff-46d8-9660-0e7d06357472 · outbound

This paper cites Mobile-agent-v3.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Mobile-agent-v3

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.097217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:0490ebf0ef259ffb15c7c1e220ffbfd8ddf585f0aede14e8f25b243b01c7a996

Observation ef2d0615-04d0-407b-ad9b-a30c42a128f7 · outbound

This paper cites Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:09:42.002663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:20ac68aecbe6f413473bc1f94029ca1a4b1b62d2bb17bd132b703e87ccd0f1a9

Observation 4ba8016f-a98b-4362-bc95-ed87a45ba870 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.665532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:d1f8de784c254e29ca3b09f3a56dd9dddd888881c5fac2555870696f1bb7f496

Observation 5bd7824d-4e3f-499f-bb54-080d3ac3c660 · outbound

This paper cites Evocua: Evolving computer use agents via learning from scalable synthetic experience.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Evocua: Evolving computer use agents via learning from scalable synthetic experience

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.111481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:ae4be402590ced619ef08800e5b0709616f7a81ec4c9532d24b1b4e8906369b1

Observation b07fa4c9-20fc-41b0-af61-38d8152d0ef5 · outbound

This paper cites GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies.

Benchmarking and Improving GUI Agents in High-Dynamic Environments GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.146223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:143e62addf7c129c5f0faea1aaa3e3577fccf28b93f00b4ed4d9035467b479a6

Observation 0d556a7d-7577-436a-ac88-93a226bb7deb · outbound

This paper cites GTA1: GUI Test-time Scaling Agent.

Benchmarking and Improving GUI Agents in High-Dynamic Environments GTA1: GUI Test-time Scaling Agent

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-17T13:55:00.131095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:98e0be60fac47dae97cc0bf005f4a1cf0d2c20f171e341e73911cdf4623c0c54

Observation 21115778-85b0-4014-b9bc-7cece243d85c · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.648700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:b577178f0f6d0cfa3929b2b6f0409e503df5f4270d2723c75c321fa93c79f0a0

Observation c7a77e36-4fae-4619-8a8d-4f990f519939 · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.653877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:c9223b9e144a828232cc36e6b305a90619feec5f139e61a56092ae916ef9944b

Observation 745132d0-b234-42f1-bf5c-bb8c60a57241 · outbound

This paper cites Mobile-Agent-v3: Fundamental Agents for GUI Automation.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Mobile-Agent-v3: Fundamental Agents for GUI Automation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:00:48.337118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:80b2e02d0ec045c73755248c2a5f8d00705eda5247e8c969698c6e7e86f09cbb

Observation f54ab89c-41f1-4afe-a2f9-6b334523a26a · outbound

This paper cites Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.046514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:e60e3f7985cb713aaee58d50aead3cbcdb4aa6e725a0b9a607111d47e7eff0e7

Observation 6da218b4-d9f8-464e-8bff-9eb5f2a21bfa · outbound

This paper cites an unresolved cited work.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-16T00:57:00.644228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:ce785d86e49cfb886b0f28e65b968844afa4cb73e70bf18546c041fabfbb86ba

Observation 19004d23-47af-4c48-a75e-0f00029d89a2 · outbound

This paper cites Learning GUI Grounding with Spatial Reasoning from Visual Feedback.

Benchmarking and Improving GUI Agents in High-Dynamic Environments Learning GUI Grounding with Spatial Reasoning from Visual Feedback

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-27T02:04:30.009656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T00:54:49.351703Z digest=sha256:243400ddf92341ea4f9a8dedb67da1d8e652363f29c27160405a3fadc4cc1904

Pith citing papers

Observation 9f089027-3425-470a-9818-1d6e1799f7d7 · inbound

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees cites this paper.

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees Benchmarking and Improving GUI Agents in High-Dynamic Environments

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T08:40:18.807798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:40:18.807798Z digest=sha256:dd1bcb43a4af7ce8de76f1ef41d0d70a77b2a80b6a6784c6fa938bd6a4b12c90