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Paper Citation Record · LEDGER

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.15273.

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

pith.paper-citation-record.v1
2401.15273 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:06.618593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.664640Z

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 add20a3d-512b-4a4d-9df6-9db1c0db9b6b · inbound

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments cites this paper.

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.668181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T20:39:27.646130Z digest=sha256:8cd79b65b59cef7e26a5298e91c29eada52f943ad9de832603f04568aa3d3e37

Observation e177451b-2610-44a7-a933-52c490b80dbf · inbound

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations cites this paper.

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:06.618593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:06.618593Z digest=sha256:6390902138c506741099f22e50206ee03b1cb54f9e3598b8233ea5bcb631bb8f

Observation 40b83ee0-44a3-4b5a-896b-a53bc6626084 · inbound

Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic cites this paper.

Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:08:29.361144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T02:07:23.862809Z digest=sha256:c8f02e68f0aaa8057e396dcb2ec398e21722bcc22de32bee53269ee2861b8e88