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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:34.192214Z

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:fe9f2e2c2244566a2112dd815d3bbf09e1ac1b2db160a1d34e523b8efac9788f

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=sha256:39880f369a03af629894dc89f3dc50716066df6afd3aa59abbc29bae5d34d75c

Observation 7cb952aa-8918-43a8-a4e2-283f5406f716 · inbound

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation cites this paper.

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:19:34.192214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:34.192214Z digest=sha256:46403ac84390883e8da736c8a37bfa4dc87f2999091208973979965c1bf301d0

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=sha256:993271552db6a61d222d6f0d71b0ec81713d085154a83394e7b387cfc6a4d600

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:e0487bc91a616c09d0cc4e9ff9e69d55455fc16bdb0cf6a143b25a122406b04d

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=sha256:3b3922db32e29f1fdebfc56d4146eeedadb8e3f6289d0de4fe526ed82578726c

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=sha256:2cd40508fa66fcca42da0ed14141b23d8d15a54423929b17f5c8c543e5253590

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:22de93eed74757e19330b71e44d8956968be143b0bff24b6a6a18716c6f06634

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:dd4635ea540c0cec1cbf3863239e346285fc5cff5d9f11b8a46e3a154414efbf

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=sha256:0a7d78ad097df6494c2de4c27c1f4763565dafc716cef7414a3fa27f00b68547

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:f40311866cae2caffb4b1ba6944041c46fc0c0d2215f2db74a4c13646588f7f2

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=sha256:99d29e2abaef1ebce7da3c861a5c556c5d52bc69f81087dcb89d5d6fdea1bcb3