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Paper Citation Record · LEDGER

The Sample-Communication Complexity Trade-off in Federated Q-Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.16981.

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

pith.paper-citation-record.v1
2408.16981 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:06.592587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:51:40.178246Z

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 a3c50314-475e-4a87-8374-c0265fb7d7eb · 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 The Sample-Communication Complexity Trade-off in Federated Q-Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:06.592587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:06.592587Z digest=sha256:b64d23b95e53c20f0ca16ce7eaf5d9d8971543bd548e605053adcc07be52c590

Observation 57df9e35-f9b3-4a7d-b4db-7906c747d0a3 · inbound

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems The Sample-Communication Complexity Trade-off in Federated Q-Learning

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:40.237379Z

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=2026-05-12T01:47:40.772146Z digest=sha256:5527d67e6e0fed1abfd31d47606c6b20ab1ffc945fee7dc3c5f56aa9901f2176