Paper Citation Record · LEDGER

Federated Reinforcement Learning in Heterogeneous Environments

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.14487.

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

pith.paper-citation-record.v1
2507.14487 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:12:24.068352Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy35
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 528db44d-f2b1-4cd7-8d49-126957beac53 · outbound

This paper cites Reinforcement learning: A tutorial survey and recent advances,.

Federated Reinforcement Learning in Heterogeneous Environments Reinforcement learning: A tutorial survey and recent advances,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:30.830265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 062efd2b-1ece-47e8-91f9-147c16a9b468 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Federated Reinforcement Learning in Heterogeneous Environments Deep reinforcement learning: A brief survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:30.682290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5fe3583-735b-489f-8516-71721b684853 · outbound

This paper cites Applications of deep reinforcement learning in communications and networking: A survey,.

Federated Reinforcement Learning in Heterogeneous Environments Applications of deep reinforcement learning in communications and networking: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:30.485060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e2aacc0-8782-489f-9b2e-2f2803f122d2 · outbound

This paper cites Federated reinforcement learning for fast personalization,.

Federated Reinforcement Learning in Heterogeneous Environments Federated reinforcement learning for fast personalization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:30.286821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 476ffc8a-9cbd-4939-9904-cb7b3573bc37 · outbound

This paper cites Fed- erated reinforcement learning: Linear speedup under markovian sampling,.

Federated Reinforcement Learning in Heterogeneous Environments Fed- erated reinforcement learning: Linear speedup under markovian sampling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:30.123329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49c703eb-fb1c-40a6-8848-f03bdff75082 · outbound

This paper cites Federated Reinforcement Learning: Techniques, Applications, and Open Challenges.

Federated Reinforcement Learning in Heterogeneous Environments Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:20.480072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213723f3-a2d4-4648-8b63-6f456175dbb1 · outbound

This paper cites Fedkl: Tackling data heterogeneity in fed- erated reinforcement learning by penalizing kl divergence,.

Federated Reinforcement Learning in Heterogeneous Environments Fedkl: Tackling data heterogeneity in fed- erated reinforcement learning by penalizing kl divergence,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.991757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ae16e3d-4a36-49e1-949a-2f51333ab3f0 · outbound

This paper cites Federated reinforcement learning acceleration method for precise control of multiple devices,.

Federated Reinforcement Learning in Heterogeneous Environments Federated reinforcement learning acceleration method for precise control of multiple devices,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.895363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14d1be60-88ad-40ed-af45-a5562e416caa · outbound

This paper cites Federated reinforcement learning with environment heterogeneity,.

Federated Reinforcement Learning in Heterogeneous Environments Federated reinforcement learning with environment heterogeneity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.784029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e21d357a-ca68-4513-8f1e-60d449131fa8 · outbound

This paper cites Communication-efficient randomized algo- rithm for multi-kernel online federated learning,.

Federated Reinforcement Learning in Heterogeneous Environments Communication-efficient randomized algo- rithm for multi-kernel online federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.586662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14e06a59-f6cb-47ba-b7ed-f550dff206c8 · outbound

This paper cites Communication-efficient online federated learning framework for nonlinear regression,.

Federated Reinforcement Learning in Heterogeneous Environments Communication-efficient online federated learning framework for nonlinear regression,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.356968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f0a9860-fad5-4b07-b6ca-aea951fe5fd6 · outbound

This paper cites Tighter regret analysis and optimization of online federated learning,.

Federated Reinforcement Learning in Heterogeneous Environments Tighter regret analysis and optimization of online federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:29.159499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 046a4929-ac9c-4d3c-90ae-c0207651a362 · outbound

This paper cites Online multikernel learning method via online biconvex optimization,.

Federated Reinforcement Learning in Heterogeneous Environments Online multikernel learning method via online biconvex optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.963808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54efb7e3-ef74-49cc-8fa1-844875d5c685 · outbound

This paper cites A communication- efficient adaptive algorithm for federated learning under cumula- tive regret,.

Federated Reinforcement Learning in Heterogeneous Environments A communication- efficient adaptive algorithm for federated learning under cumula- tive regret,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.798093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 143661a5-cb6d-47f4-9f93-4f2b771395ce · outbound

This paper cites Learning to predict by the methods of temporal differences,.

Federated Reinforcement Learning in Heterogeneous Environments Learning to predict by the methods of temporal differences,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:21.442387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2a8b9c-0f35-4ff9-8a1b-f8179048bc84 · outbound

This paper cites Q-learning,.

Federated Reinforcement Learning in Heterogeneous Environments Q-learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.601011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4a65604-7271-4ab6-b2fb-0a1a114616c5 · outbound

This paper cites Learning from delayed rewards,.

Federated Reinforcement Learning in Heterogeneous Environments Learning from delayed rewards,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.436359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79f82118-27bf-481a-b2ca-a9c0c2c6e14d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Federated Reinforcement Learning in Heterogeneous Environments Playing Atari with Deep Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:21.787378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71e4d52-6d73-4040-bcf6-6b55af7f9448 · outbound

This paper cites Policy gradient methods for reinforcement learning with function ap- proximation,.

Federated Reinforcement Learning in Heterogeneous Environments Policy gradient methods for reinforcement learning with function ap- proximation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.222088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1064bce0-d32b-45d5-a84e-b48bc30352b1 · outbound

This paper cites Deterministic policy gradient algorithms,.

Federated Reinforcement Learning in Heterogeneous Environments Deterministic policy gradient algorithms,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:28.047234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d128a274-2994-41d8-b872-18e04d863a3f · outbound

This paper cites Continuous control with deep reinforcement learning.

Federated Reinforcement Learning in Heterogeneous Environments Continuous control with deep reinforcement learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:22.121894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f7929b-2632-4ed1-88cd-25835abd4f88 · outbound

This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

Federated Reinforcement Learning in Heterogeneous Environments A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:27.846512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f532170-b1a7-4cfa-8feb-e86242d20c55 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Federated Reinforcement Learning in Heterogeneous Environments Federated learning: Challenges, methods, and future directions,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:22.314944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53ba31dd-d288-4e4d-88c2-452999f1ec01 · outbound

This paper cites Federated machine learn- ing: Concept and applications,.

Federated Reinforcement Learning in Heterogeneous Environments Federated machine learn- ing: Concept and applications,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:27.650185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dcdbd6a2-0fdc-41ce-a9a7-47337c6dc072 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Federated Reinforcement Learning in Heterogeneous Environments Communication-efficient learning of deep networks from decentralized data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:27.458697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10a63445-2350-4709-8953-82c658b85cf4 · outbound

This paper cites Lo- cal learning matters: Rethinking data heterogeneity in federated learning,.

Federated Reinforcement Learning in Heterogeneous Environments Lo- cal learning matters: Rethinking data heterogeneity in federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:27.079317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 564c4c15-3a8e-4342-bf4d-d4ff74f78798 · outbound

This paper cites Tackling data heterogeneity in federated learning with class prototypes,.

Federated Reinforcement Learning in Heterogeneous Environments Tackling data heterogeneity in federated learning with class prototypes,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:26.852542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 029073c3-8b4c-489e-9c35-4d843c1e5048 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Federated Reinforcement Learning in Heterogeneous Environments Federated optimization in heterogeneous networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:27.266595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76ecd924-f6ca-420d-8c20-c69c4132145d · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated 14 learning,.

Federated Reinforcement Learning in Heterogeneous Environments Scaffold: Stochastic controlled averaging for federated 14 learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:26.646807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12ea0396-5dea-407e-8841-4817c46b7600 · outbound

This paper cites A novel framework for the analysis and design of heterogeneous federated learning,.

Federated Reinforcement Learning in Heterogeneous Environments A novel framework for the analysis and design of heterogeneous federated learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:26.347029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites Federated Deep Reinforcement Learning.

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.

Observation fa2bb330-273a-4ce3-89d9-ff2ecf1ced10 · outbound

This paper cites Lifelong federated reinforcement learning: A learning architecture for navigation in cloud robotic systems,.

Federated Reinforcement Learning in Heterogeneous Environments Lifelong federated reinforcement learning: A learning architecture for navigation in cloud robotic systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:26.150840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e56b3d5-4cc7-4836-a924-a7f782329ba7 · outbound

This paper cites Federated deep reinforcement learning for internet of things with decentral- ized cooperative edge caching,.

Federated Reinforcement Learning in Heterogeneous Environments Federated deep reinforcement learning for internet of things with decentral- ized cooperative edge caching,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:25.936469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37a11b82-4f0a-40de-8174-44e13b346410 · outbound

This paper cites A review of safe reinforcement learning: Methods, theories and applications,.

Federated Reinforcement Learning in Heterogeneous Environments A review of safe reinforcement learning: Methods, theories and applications,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:25.595986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 470be543-1753-4c8f-bc8d-7a3b36695a67 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Federated Reinforcement Learning in Heterogeneous Environments Human-level control through deep reinforcement learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:23.385489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0caebe22-994c-4c12-baae-be3ca4ca0d15 · outbound

This paper cites Federated learning- based computation offloading optimization in edge computing- supported internet of things,.

Federated Reinforcement Learning in Heterogeneous Environments Federated learning- based computation offloading optimization in edge computing- supported internet of things,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:25.220914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 118b655d-a303-48e7-8f0d-d9a72d622303 · outbound

This paper cites Addressing function approx- imation error in actor-critic methods,.

Federated Reinforcement Learning in Heterogeneous Environments Addressing function approx- imation error in actor-critic methods,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.860344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86a4c66e-dfd2-418d-b4b0-15105be77608 · outbound

This paper cites On practical robust reinforcement learn- ing: Adjacent uncertainty set and double-agent algorithm,.

Federated Reinforcement Learning in Heterogeneous Environments On practical robust reinforcement learn- ing: Adjacent uncertainty set and double-agent algorithm,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.789400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68a3d08b-25db-4d45-9d09-8edad78f5adc · outbound

This paper cites Asymmetric least squares estima- tion and testing,.

Federated Reinforcement Learning in Heterogeneous Environments Asymmetric least squares estima- tion and testing,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.686043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f673bec6-a519-4541-a0da-7ca0b9f4f1a8 · outbound

This paper cites OpenAI Gym.

Federated Reinforcement Learning in Heterogeneous Environments OpenAI Gym

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:23.762352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570b39f7-41bb-488e-9545-9eef80e40ff7 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Federated Reinforcement Learning in Heterogeneous Environments Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:23.837020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a1601f-6b6a-4f5b-92da-484b355a8ca2 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

Federated Reinforcement Learning in Heterogeneous Environments Stable-baselines3: Reliable reinforcement learning implementations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.550988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ba24771-56f0-4654-a70b-a3d01ef7d79e · outbound

This paper cites Rl baselines3 zoo,.

Federated Reinforcement Learning in Heterogeneous Environments Rl baselines3 zoo,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.406772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fc0f531-c647-4a0e-b471-844e95cc7807 · outbound

This paper cites Control- ling overestimation bias with truncated mixture of continuous dis- tributional quantile critics,.

Federated Reinforcement Learning in Heterogeneous Environments Control- ling overestimation bias with truncated mixture of continuous dis- tributional quantile critics,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:24.282103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.