Paper Citation Record · LEDGER

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2406.11896.

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

pith.paper-citation-record.v1
2406.11896 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:57:48.364438Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5f3e55d0-2209-4451-961a-3e69d2040b29 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 272

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.886474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4454652-81f3-42e6-a2b3-9a537faf939f · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T20:57:48.364438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad6cb1e-f8ba-4bbc-93b3-c1624f9c133e · inbound

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks cites this paper.

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:32:18.576546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a24d3dba-8d57-4d66-bd5f-55b8283841e2 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:42:10.964670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7c33ebd-f11e-44f7-a256-d7d3f4bfdf96 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.634772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94ea10d-0614-4f9b-860c-ae435ececd19 · inbound

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning cites this paper.

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:16.963397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7779880-9179-40b0-808c-83717c266519 · inbound

SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling cites this paper.

SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:02.295962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d4bed2-1749-4bfe-ac01-17c9343ec65b · inbound

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction cites this paper.

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:49.964683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad01e14f-f568-4893-a43d-b0afa9e9de4c · inbound

GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior cites this paper.

GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:59.230422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d773ef-5b92-40cf-8a11-0faa6e9b0f1d · inbound

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System cites this paper.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:02.686260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1845b36-9aef-465d-ba2f-98b444bc38cf · inbound

Morae: Proactively Pausing UI Agents for User Choices cites this paper.

Morae: Proactively Pausing UI Agents for User Choices DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:41.778339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47da6e38-1052-4529-9f20-6bc6fe3661f4 · inbound

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T09:33:37.516249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 355963d0-0bc2-43bb-bc9d-3e7e4c12e1b3 · inbound

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL cites this paper.

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T20:51:40.057308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53699552-90cd-4730-b690-5bdb26881479 · inbound

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies cites this paper.

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:49.218927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb2eff33-30b9-4595-b298-bec0008e8fee · inbound

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction cites this paper.

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:08.618088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11d4a26d-5163-4211-9e2e-361aea54fa1a · inbound

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction cites this paper.

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:51:21.735886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d464d1f-8714-4984-b0d5-5b6250ad749c · inbound

DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions cites this paper.

DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:41:29.389207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5095580d-68f3-4e5c-a0ef-84c1e6dfbb58 · inbound

AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning cites this paper.

AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:31.155254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fa9f138-1523-4d8c-a5d8-3db86f1ace14 · inbound

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:21.216457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 129e80f9-a4f3-44e4-b245-d3d53b26c939 · inbound

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-15T10:24:53.345620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becb788d-5be3-4eb4-b251-72025671a35b · inbound

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models cites this paper.

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T02:18:01.580579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.