Paper Citation Record · LEDGER

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.11185.

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

pith.paper-citation-record.v1
2607.11185 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:25:23.264527Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
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malformed identifier0
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External citation measurements

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Outbound references

Observation 0b86aae1-f8bf-4270-860a-14b421dadb7a · outbound

This paper cites Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Reference 1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db3b6de-c2c8-4d0c-93ae-b18c8da5366f · outbound

This paper cites Qwen3-VL Technical Report.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Qwen3-VL Technical Report

Reference 2

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

Source-reported events for the cited work

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Observation 64a4e43f-3499-4e10-bb6b-12f54f590a3c · outbound

This paper cites Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Reference 3

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

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Observation 4f1dacf1-6acf-45ba-96f4-b2408baecb7b · outbound

This paper cites Gui-genesis: Automated synthesis of efficient environments with verifiable rewards for gui agent post-training.arXiv preprint arXiv:2602.14093,.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Gui-genesis: Automated synthesis of efficient environments with verifiable rewards for gui agent post-training.arXiv preprint arXiv:2602.14093,

Reference 4

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

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Observation a7fe5b11-3441-4c07-b2bc-5d76ee54b478 · outbound

This paper cites Agentic Reinforced Policy Optimization.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Agentic Reinforced Policy Optimization

Reference 5

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

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Observation 33f473d4-e0e8-4825-8b6e-65aeb4b337d0 · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3f5382-04c4-449d-98eb-82326fcd579e · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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

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Observation 74475d5f-119d-4f3f-92b8-a00338a67808 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 8

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

Source-reported events for the cited work

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Observation 239cc74f-50ec-42de-85ec-e2362093f294 · outbound

This paper cites CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration

Reference 9

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

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Observation 36f00fbb-47fe-489b-8ba3-734bb9eac714 · outbound

This paper cites Androidgen: Building an android language agent under data scarcity.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Androidgen: Building an android language agent under data scarcity

Reference 10

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

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Observation 01ac9fef-c562-4224-a789-9452760bec0e · outbound

This paper cites VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

Reference 11

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

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Observation 3ea66aef-dc4e-4898-8121-a7bf36a89eb6 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 12

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

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Observation fb084d7f-f1d3-4193-812e-0e02e328cb22 · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 13

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

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Observation 6fb7a1f6-f563-46ed-a0cc-59fa0b91d7f3 · outbound

This paper cites Seed1.8 Model Card: Towards Generalized Real-World Agency.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Seed1.8 Model Card: Towards Generalized Real-World Agency

Reference 14

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

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Observation 502dc265-67b8-467e-bd31-97eb0af9def3 · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 15

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

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Observation f9893b93-b9d0-42f5-8f8a-aa23860c5100 · outbound

This paper cites MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment.

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

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Observation 1ad2afee-0ccc-4c4c-b390-d2c729b00246 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 17

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

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Observation 4f051194-9f2c-4999-84e5-0e16fcbcb860 · outbound

This paper cites ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows

Reference 18

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

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Observation b74c6ba6-0d27-49b2-b84d-a9b00bd6fbf5 · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Reference 19

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

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Observation 94ed22cc-330f-412d-bdaa-bb9e2358b852 · outbound

This paper cites Agentsynth: Scalable task generation for generalist computer-use agents.arXiv preprint arXiv:2506.14205, 2025a.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Agentsynth: Scalable task generation for generalist computer-use agents.arXiv preprint arXiv:2506.14205, 2025a

Reference 20

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

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Observation 95e88f73-9f88-4eae-83ec-d3a228595f0d · outbound

This paper cites Scaling computer-use grounding via user interface decomposition and synthesis.arXiv preprint arXiv:2505.13227, 2025b.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Scaling computer-use grounding via user interface decomposition and synthesis.arXiv preprint arXiv:2505.13227, 2025b

Reference 21

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

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Observation d5546386-87e0-42bb-accb-77f2d703c242 · outbound

This paper cites Mobilerl: Online agentic reinforcement learning for mobile gui agents.arXiv preprint arXiv:2509.18119,.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Mobilerl: Online agentic reinforcement learning for mobile gui agents.arXiv preprint arXiv:2509.18119,

Reference 22

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

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Observation 4e4b3f1c-7045-4b0a-bfa0-17a11abee2a9 · outbound

This paper cites AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials

Reference 23

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

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Observation 6202e2ba-0fee-4776-b1c7-df3dc0e56d20 · outbound

This paper cites Evocua: Evolving computer use agents via learning from scalable synthetic experience.arXiv preprint arXiv:2601.15876,.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Evocua: Evolving computer use agents via learning from scalable synthetic experience.arXiv preprint arXiv:2601.15876,

Reference 24

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

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Unavailable: canonical work link unavailable.

Observation b4c8fc65-81ae-4a55-ba50-6873b7dba976 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 25

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

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Observation b93b78de-be2a-44df-b0d3-6f5e972cddca · outbound

This paper cites Qwen3 Technical Report.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Qwen3 Technical Report

Reference 26

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

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Observation 4a19d40a-4490-4ba9-934a-265c9c3a1bff · outbound

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

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 27

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

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Observation 3ae1de40-ba82-4c3f-8ce2-69c056ecca52 · outbound

This paper cites Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.arXiv preprint arXiv:2510.04206,.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.arXiv preprint arXiv:2510.04206,

Reference 28

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

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Observation 6695e059-b3a6-4f8a-9f5e-94fc0249b227 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 29

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

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Observation 3282f93e-ae12-4ea7-9bc7-acbf88a40564 · outbound

This paper cites an unresolved cited work.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Unresolved cited work

Reference 30

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

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Observation b21034aa-9e33-4325-985d-262f88f9dfad · outbound

This paper cites Larger K values produce fewer but longer segments, requiring more rollout workers to keep the training engine fed.

SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Larger K values produce fewer but longer segments, requiring more rollout workers to keep the training engine fed

Reference 31

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

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Pith citing papers

No inbound Pith citation observations are available.