Paper Citation Record · LEDGER

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

As of 12 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2606.02031.

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

pith.paper-citation-record.v1
2606.02031 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:46:50.587684Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:45:32.126811Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

verified exact32
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ee32fac-a6fb-4f7d-ae52-b509651b9d76 · outbound

This paper cites GPT-4 Technical Report.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.392441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f02ee38-cd25-4965-8ed5-5784fb0fc937 · outbound

This paper cites Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.461295Z

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Observation 3f5eb26f-bd39-4b89-bd5e-8cf024ff023a · outbound

This paper cites Fara-7b: An efficient agentic model for computer use.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Fara-7b: An efficient agentic model for computer use

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.428259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34702829-b451-433f-852d-0ae36c114e07 · outbound

This paper cites WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.434499Z

Source-reported events for the cited work

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Observation 694b5164-defb-4340-bb0d-7e54549e8f21 · outbound

This paper cites DigiRL: Training in-the-wild device-control agents with autonomous reinforcement learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents DigiRL: Training in-the-wild device-control agents with autonomous reinforcement learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

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Observation c55bcdab-1331-4eda-9752-5468ffed1a99 · outbound

This paper cites Qwen3-VL Technical Report.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Qwen3-VL Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.428388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a4a2e64-87bf-4942-8f14-a23fbbc68db7 · outbound

This paper cites Web agents with world models: Learning and leveraging environment dynamics in web navigation.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Web agents with world models: Learning and leveraging environment dynamics in web navigation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation e54dd26e-4112-426c-a1b9-798a51d52b86 · outbound

This paper cites arXiv preprint arXiv:2510.12693 , year=.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents arXiv preprint arXiv:2510.12693 , year=

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.432168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 087543f3-3c2a-4b47-b709-a579650171d3 · outbound

This paper cites CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.434850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a41d36ae-09a0-4df7-8a3b-016c80e6aca7 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

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Observation d254b99f-7e51-4a8b-90f2-e15b2dd88ad3 · outbound

This paper cites Seeclick: Harnessing gui grounding for advanced visual gui agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Seeclick: Harnessing gui grounding for advanced visual gui agents

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation a7cca339-63da-499a-bbba-4ae98d91ec8c · outbound

This paper cites Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114, 2023.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation b911a0f9-9836-4ff1-ae24-c93f367885bf · outbound

This paper cites Scaling laws for reward model overoptimization.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Scaling laws for reward model overoptimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 5e74c58f-b2d7-4521-bedb-9ceb6e623bc7 · outbound

This paper cites Navigating the digital world as humans do: Universal visual grounding for gui agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Navigating the digital world as humans do: Universal visual grounding for gui agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

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Observation 93b96fca-c486-4927-a8f5-2f21c814485a · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.437544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df3c7960-c60d-48c0-af59-127219d61ad9 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633–638, 2025.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633–638, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

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Observation f00ee4d4-aa91-423a-8866-6e5378792912 · outbound

This paper cites MolmoWeb: Open Visual Web Agent and Open Data for the Open Web.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents MolmoWeb: Open Visual Web Agent and Open Data for the Open Web

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.442722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c8c2e25-0f07-471a-b41a-568e3cb8d7e9 · outbound

This paper cites Webvoyager: Building an end-to-end web agent with large multimodal models.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Webvoyager: Building an end-to-end web agent with large multimodal models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 22c49a81-ea69-43cf-8c15-5d79817fceae · outbound

This paper cites Openwebvoyager: Building multimodal web agents via iterative real-world ex- ploration, feedback and optimization.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Openwebvoyager: Building multimodal web agents via iterative real-world ex- ploration, feedback and optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation c7fe0526-818a-439f-9f56-0fc4732152e7 · outbound

This paper cites Scalable data synthesis for computer use agents with step-level filtering,.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Scalable data synthesis for computer use agents with step-level filtering,

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.443216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46d9c196-30b5-4289-b1dc-d5b5f0a6d50c · outbound

This paper cites Glm-4.1 v-thinking: Towards versatile multimodal reasoning with scalable reinforcement learning.arXiv e-prints, pages arXiv–2507, 2025.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Glm-4.1 v-thinking: Towards versatile multimodal reasoning with scalable reinforcement learning.arXiv e-prints, pages arXiv–2507, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e13c10-827a-4c66-ba1f-01450b12a6df · outbound

This paper cites Embodied web agents: Bridging physical-digital realms for integrated agent intelligence.Advances in Neural Information Processing Systems, 38, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Embodied web agents: Bridging physical-digital realms for integrated agent intelligence.Advances in Neural Information Processing Systems, 38, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

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Observation 85403a82-da14-4642-8df6-f0a5815ed867 · outbound

This paper cites Rethinking memory mechanisms of foundation agents in the second half.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Rethinking memory mechanisms of foundation agents in the second half

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.463970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62901e59-52a5-4b31-916a-8d4ba98fbe3f · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.450977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6aaa6ab2-3b78-4245-b8fc-559b8841929e · outbound

This paper cites Scalecua: Scaling open-source computer use agents with cross-platform data.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Scalecua: Scaling open-source computer use agents with cross-platform data

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.471653Z

Source-reported events for the cited work

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Observation 501acd53-cba0-4fb0-be15-00a0630bcd25 · outbound

This paper cites Visual-rft: Visual reinforcement fine-tuning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Visual-rft: Visual reinforcement fine-tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 34605548-2744-40eb-8380-9f91743c5182 · outbound

This paper cites Agentrewardbench: Evaluating automatic evaluations of web agent trajectories.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Agentrewardbench: Evaluating automatic evaluations of web agent trajectories

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.479102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57443a4a-4acc-4129-af17-4b13b2443f17 · outbound

This paper cites Ui-r1: Enhancing efficient action prediction of gui agents by reinforcement learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Ui-r1: Enhancing efficient action prediction of gui agents by reinforcement learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05b64c83-ada2-48db-9b2d-7b1014d58eec · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.452406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7383006c-253c-4889-a0b0-b6b62341d313 · outbound

This paper cites DeepShop: A Benchmark for Deep Research Shopping Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents DeepShop: A Benchmark for Deep Research Shopping Agents

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.457940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1004efd3-c3e3-4718-b65d-039422044496 · outbound

This paper cites Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling.Advances in Neural Information Processing Systems, 37:134387–134429, 2024.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling.Advances in Neural Information Processing Systems, 37:134387–134429, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 171f012a-c40f-4943-8958-199f6e341e8d · outbound

This paper cites WebCanvas: Benchmarking Web Agents in Online Environments.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents WebCanvas: Benchmarking Web Agents in Online Environments

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.436936Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 223f4fdb-b8b4-4a80-b10a-9b68f958701c · outbound

This paper cites Orchard: An Open-Source Agentic Modeling Framework.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Orchard: An Open-Source Agentic Modeling Framework

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.401012Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7aedf6dd-e6a6-40da-a114-d2169af94b97 · outbound

This paper cites Webrl: Training llm web agents via self-evolving online curriculum reinforcement learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Webrl: Training llm web agents via self-evolving online curriculum reinforcement learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 91c4051b-f433-483e-8fe9-23c279cdabf8 · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.481774Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ead8682a-9df4-416b-abf4-ca0693d3d6e5 · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.455986Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba77acba-516f-4347-93cd-c284777f47c7 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.463237Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4cdf6d52-2b97-4470-91ac-6eef6690b316 · outbound

This paper cites OpenAI GPT-5 System Card.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents OpenAI GPT-5 System Card

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.476391Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5afc4c37-dc9e-4fd3-a0d5-8f3c9e695a88 · outbound

This paper cites Kimi-VL Technical Report.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Kimi-VL Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.474148Z

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Observation 262c0d22-9ae3-4eaf-a79f-acb7ffbdded2 · outbound

This paper cites InSTA: Towards Internet-Scale Training For Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents InSTA: Towards Internet-Scale Training For Agents

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:16.466449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a813d14d-4c60-4e1e-8b10-d9d48d09dc68 · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.448597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9bf9220-b665-486a-afa8-42907aa94c0f · outbound

This paper cites Vl-rethinker: Incentivizing self-reflection of vision-language models with reinforcement learning.Advances in Neural Information Processing Systems, 38:30865–30891, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Vl-rethinker: Incentivizing self-reflection of vision-language models with reinforcement learning.Advances in Neural Information Processing Systems, 38:30865–30891, 2026

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 25022457-6040-4bca-9e95-16451e02d2c0 · outbound

This paper cites Vagen: Reinforcing world model reasoning for multi-turn vlm agents.Advances in Neural Information Processing Systems, 38:172871–172933, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Vagen: Reinforcing world model reasoning for multi-turn vlm agents.Advances in Neural Information Processing Systems, 38:172871–172933, 2026

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 0239183f-d0ff-41a0-b994-aab23e15d362 · outbound

This paper cites WebXSkill: Skill Learning for Autonomous Web Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents WebXSkill: Skill Learning for Autonomous Web Agents

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.472075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 30281e7c-4687-4ea5-a483-c266c1f14a32 · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.416446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e05f5330-39e5-4994-b363-a04c2f89e91b · outbound

This paper cites Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 262006fb-c5ba-4f1d-ba15-bbf7ccc52454 · outbound

This paper cites GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.403821Z

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Observation 7bdd7622-76bf-485a-b8ee-b50e7857d5a4 · outbound

This paper cites Os-atlas: Foundation action model for generalist gui agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Os-atlas: Foundation action model for generalist gui agents

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 045f0561-ef05-4383-b820-5ea605ff435f · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.440280Z

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Observation 395a6145-0ae6-41b8-92cf-52a7c1c11030 · outbound

This paper cites An illusion of progress? assessing the current state of web agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents An illusion of progress? assessing the current state of web agents

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 5dbee843-c802-4ab4-9ade-b1966d29cae5 · outbound

This paper cites Magma: A foundation model for multimodal ai agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Magma: A foundation model for multimodal ai agents

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 5f343030-6a3f-4511-a06e-38f37c337a2d · outbound

This paper cites Agentoccam: A simple yet strong baseline for llm-based web agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Agentoccam: A simple yet strong baseline for llm-based web agents

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation e4c219b1-1b7e-43f8-8449-93a2d4a6f311 · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.401189Z

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Observation 77bb24c1-5f61-48b7-9fd6-f36fbd2c4bce · outbound

This paper cites Regularizing hidden states enables learning generalizable reward model for llms.Advances in Neural Information Processing Systems, 37:62279–62309, 2024.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Regularizing hidden states enables learning generalizable reward model for llms.Advances in Neural Information Processing Systems, 37:62279–62309, 2024

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 721830e8-399d-43cd-ac98-29ab900578a2 · outbound

This paper cites GUI-Libra: Training native GUI agents to reason and act with action-aware supervision and partially verifiable RL, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents GUI-Libra: Training native GUI agents to reason and act with action-aware supervision and partially verifiable RL, 2026

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 144a5e71-d1b0-4778-a7f3-9e7c715f3039 · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents ReAct: Synergizing reasoning and acting in language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 1999d737-fa6e-4c4e-8131-db2c737aa7ec · outbound

This paper cites How do visual attributes influence web agents? a comprehensive evaluation of user interface design factors.arXiv preprint arXiv:2601.21961, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents How do visual attributes influence web agents? a comprehensive evaluation of user interface design factors.arXiv preprint arXiv:2601.21961, 2026

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.466075Z

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Observation c9a3d777-1c56-423e-9faa-d8a393413545 · outbound

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.406885Z

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Observation 86abf6e1-d644-4487-bc7a-d7d169ca0424 · outbound

This paper cites Fine-tuning large vision-language models as decision-making agents via reinforcement learning, 2024.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Fine-tuning large vision-language models as decision-making agents via reinforcement learning, 2024

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 4f68a811-a732-41e8-bbe1-f60d883382ad · outbound

This paper cites Beat: Visual backdoor attacks on vlm-based embodied agents via contrastive trigger learning, 2026.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Beat: Visual backdoor attacks on vlm-based embodied agents via contrastive trigger learning, 2026

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 41386195-9587-4283-87d4-fa3bd473a13d · outbound

This paper cites AgentRL: Scaling agentic reinforcement learning with a multi-turn, multi-task framework, 2025.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents AgentRL: Scaling agentic reinforcement learning with a multi-turn, multi-task framework, 2025

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 097481d2-63c9-4c0e-9c76-4b92003ea4a7 · outbound

This paper cites LlamaFactory: Unified efficient fine-tuning of 100+ language models.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents LlamaFactory: Unified efficient fine-tuning of 100+ language models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 97d1fb3d-bc28-4b9f-bc4f-35339278784d · outbound

This paper cites Deepresearcher: Scaling deep research via reinforcement learning in real-world environments.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Deepresearcher: Scaling deep research via reinforcement learning in real-world environments

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 5597776e-93f1-49ca-8b20-550bdda05c6c · outbound

This paper cites Proposer-agent-evaluator (PAE): Autonomous skill discovery for foundation model internet agents.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Proposer-agent-evaluator (PAE): Autonomous skill discovery for foundation model internet agents

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 2cfaf7ae-1f8c-4241-914a-80b01801d842 · outbound

This paper cites Workforceagent-r1: Incentivizing reasoning capability in llm-based web agents via reinforcement learning.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Workforceagent-r1: Incentivizing reasoning capability in llm-based web agents via reinforcement learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 03c70b78-9ba4-4902-9a4d-679cdbe79ddf · outbound

This paper cites Alpine Ridge.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Alpine Ridge

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.474728Z

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Observation 3ab2f7fc-a598-4a61-9fcd-00b76f1d7a0a · outbound

This paper cites name": ...,.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents name": ...,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation ea5985b0-4562-4d13-8cf6-60e5c7c07c82 · outbound

This paper cites an unresolved cited work.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation f39a3e6f-bd2f-4a7a-a9be-a410e08f89fc · outbound

This paper cites Use it to understand what the agent tried to do, but do not treat it as ground truth if it conflicts with the screenshots.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Use it to understand what the agent tried to do, but do not treat it as ground truth if it conflicts with the screenshots

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 780bd1dd-e6ba-4857-932f-4a5bf3017257 · outbound

This paper cites point 2d.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents point 2d

Reference 70

Resolution: malformed identifier; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 89e4c9a6-38fa-49c0-865c-ac2224c9e55c · outbound

This paper cites SHOP MEN'S.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents SHOP MEN'S

Reference 71

Resolution: malformed identifier; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Observation 32b51fec-4d25-440b-981b-527bb85dd4c0 · outbound

This paper cites name": "hover.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents name": "hover

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-28T15:46:50.587684Z

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Pith citing papers

Observation 11a59d82-1620-4a73-aa12-e8302c4c0355 · inbound

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents cites this paper.

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T23:58:28.610388Z

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Observation b0217b2c-d4d3-4b49-82a3-c2b19124985e · inbound

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning cites this paper.

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:45:32.126811Z

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