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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:01:50.824574Z

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:afefc7e9794cb9b68320fca3e645e168d6bde0e6b6f2fe76d28e7ae182d657dd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:8a5a43a6c018a77f886341298330ac9b0ed50ad892d256bc6c4bf63c298d12a6

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:9eda23f5defc9b999d2ded5ab98bf21623e7ad52a4b2f86b8bfec6bc3178b818

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=sha256:839c641e8e9146b3786a43dfa05c09d5bdb9a8ee7c5232765e8d2557f3122caa

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:24:41.353303Z digest=sha256:2eff919155ce99e3e1f68e7ec57fdb19208cccf5ca5390992432a7a098ee663c