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Paper Citation Record · LEDGER

Federated Deep Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1901.08277.

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

pith.paper-citation-record.v1
1901.08277 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:27.492445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.484578Z

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 d07fc6b2-b736-4bc4-8022-dbb74da43b10 · inbound

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning cites this paper.

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Federated Deep Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:24:27.492445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:24:27.492445Z digest=sha256:68faa8965d8148a24d71d57472eda8f5c43e7852672f8c25c49c6ebc2009d155

Observation 1c78533d-70de-4513-a341-2de3cc825b1f · inbound

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes cites this paper.

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes Federated Deep Reinforcement Learning

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:12.026037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:19:12.026037Z digest=sha256:76df203947440630bc8a0795a8d5fd54813b744090abee439f9c143572a497ee

Observation fe59c430-8b08-4c93-b20c-cb26c76a5ee0 · inbound

Federated Reinforcement Learning in Heterogeneous Environments cites this paper.

Federated Reinforcement Learning in Heterogeneous Environments Federated Deep Reinforcement Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:23.104452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:23.104452Z digest=sha256:f68c010400c2da9b24438e98ba5cf3e1778e97ef036ccce32394e6a8c50c9a1a

Observation 7a702df2-0e41-4aea-ba6c-db6575946f68 · inbound

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints cites this paper.

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints Federated Deep Reinforcement Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:04.592613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T01:27:49.203891Z digest=sha256:feaa2115c98a7c5c424ebe6018ee54b3487da6a81edd527166797a43050b8a7e

Observation e2dc22ca-2cf5-4571-8563-af9c559cb787 · inbound

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints cites this paper.

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints Federated Deep Reinforcement Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:49:15.073300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T23:47:34.192789Z digest=sha256:2a2884237feb34c8932b04c59b432291e9dac791fff41808a5fa4851c7a39289

Observation b947b011-37c0-4909-92b6-bdd215d8e0d2 · inbound

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

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Federated Deep Reinforcement Learning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:38.779693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:47:40.772146Z digest=sha256:9e7cf1ebd4a2135bb494cb8ee8564ab78401b570b3ca50dfa18ca4319fc59368

Observation c1bcb7a4-4a10-48a8-8ef6-870d6229ab84 · inbound

FedQHD: Closed-Form Function-Space Federated Reinforcement Learning cites this paper.

FedQHD: Closed-Form Function-Space Federated Reinforcement Learning Federated Deep Reinforcement Learning

Reference 10

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T13:33:28.485913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T13:24:31.382577Z digest=sha256:c4b7e0d9faff86b32d90a2246c38ac31de16903c685f48d151a64a07c8197cbb