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Paper Citation Record · LEDGER

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.14803.

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

pith.paper-citation-record.v1
2410.14803 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:15.866088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:09.654706Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7160227a-597f-4631-b9a4-360af77e5fd3 · inbound

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

Large Language Model-Brained GUI Agents: A Survey DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 273

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:27.889020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:3c31825de59a238ed7646327a9236a4e7dea66d3c2d498b5cd9431b243f646a3

Observation 567c1408-798b-4872-ba04-3232fc222b34 · inbound

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning cites this paper.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T11:25:49.196216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:25:49.196216Z digest=sha256:39736bd40504a6979e28f4d9e6bdad542730218b41f79a550b18687270496bd6

Observation 053bc850-e181-465d-8960-9813e0b5f08f · inbound

ProgRM: Build Better GUI Agents with Progress Rewards cites this paper.

ProgRM: Build Better GUI Agents with Progress Rewards DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:47.485240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:47.485240Z digest=sha256:a7e3b847b7d6812db80138feb840dafa5f383559a14a6e11cbb7c3ff4facb1cf

Observation 668c004a-9259-4962-93a0-545038760051 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:57.792768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:57.792768Z digest=sha256:26ea844d6aac5dca7be637b7e1ed03ed93c4d9b2dd3769bf622ba423d35787bb

Observation 676a71e2-dc54-4ff5-a7d5-6368c6efeed1 · 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 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:50.180946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:50.180946Z digest=sha256:058cf2ff09f62baf362fa34986a634584cf452de4200b4b1edbfb4dfea096cc7

Observation 5213041a-cf8b-4029-9cf7-85175976ba64 · 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 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:02.738997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:02.738997Z digest=sha256:3a73e0fda301707e4f0d924083bcc5725385731ffe85e742a7a44d679b689402

Observation fa606721-5759-4a79-8959-d11cae58e30c · inbound

Beyond Syntax: Action Semantics Learning for App Agents cites this paper.

Beyond Syntax: Action Semantics Learning for App Agents DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:08.768556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:bd0687fd51c86d9b5a619b1e4d38499e2f03e94aa739a691f21a9a0ed68310fe

Observation 06612496-4bf1-4088-9a7b-8a52df500a77 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 249

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.275453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:3cc422b45cb25d3aed0f1be74041a168699a775bac59a15ab36f1f554108e65a

Observation bd56bd04-6138-4ab8-bd2f-20d03ae4cd79 · inbound

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning cites this paper.

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T09:01:50.824574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:01:50.824574Z digest=sha256:bffa9991bce4cfe8bd8eba844a4af90b903b265503e54384437ddddbbc7d6d76

Observation 3cbb5a63-5345-4049-8c58-d87385158b34 · inbound

StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents cites this paper.

StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:09.659299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:09edefd29b1ab3574994333e112cad2f30fdae3e47d2e02d1efc1f076abbe55c

Observation 1014fe50-0dda-4955-b26f-b194de4179f5 · inbound

Software Engineering for and with GUI Agent cites this paper.

Software Engineering for and with GUI Agent DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 236

Resolution
unresolved
no resolver link, observed 2026-08-11T20:19:15.866088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:19:15.866088Z digest=sha256:2fc42c32b2ba9d512c1e35ecd4c68b214350f80ee84d058fcc91ec730e3328ba