Paper Citation Record · LEDGER

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.07613.

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

pith.paper-citation-record.v1
2507.07613 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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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

45 of 45 outbound references displayed

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verified fuzzy16
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e253d364-90d0-4cca-886f-d27c26a9f39d · outbound

This paper cites What is society 5.0,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 What is society 5.0,

Reference 1

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Source-reported events for the cited work

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Observation e3431966-8f10-4aae-8eaa-8d8081b4add5 · outbound

This paper cites Foundations of cooperative AI,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Foundations of cooperative AI,

Reference 2

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This paper cites An efficient framework for clustered federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 An efficient framework for clustered federated learning,

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:41:10.965428Z

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This paper cites Towards effective clustered federated learning: A peer-to-peer framework with adaptive neighbor matching,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Towards effective clustered federated learning: A peer-to-peer framework with adaptive neighbor matching,

Reference 4

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Observation 626eb51c-07c7-4ecf-8fc3-a36343d35d0d · outbound

This paper cites Iot device friendly and communication-efficient federated learning via joint model pruning and quantization,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Iot device friendly and communication-efficient federated learning via joint model pruning and quantization,

Reference 5

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This paper cites Towards self-adaptive cooperative learning in collective systems,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Towards self-adaptive cooperative learning in collective systems,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:41:10.102501Z

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Observation c99385c0-82c7-49a2-a9e2-ce66e66dbc60 · outbound

This paper cites Decentralized learning works: An empirical comparison of gossip learning and federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Decentralized learning works: An empirical comparison of gossip learning and federated learning,

Reference 7

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Observation 200815f3-0ca3-49b1-ac19-a7d8dc59a203 · outbound

This paper cites Proximity-based self-federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Proximity-based self-federated learning,

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:41:09.820145Z

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

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Communication-efficient learning of deep networks from decentralized data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:13.364320Z

Source-reported events for the cited work

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Observation d6704741-ebe8-4f7e-aa64-bdaf7e053031 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 10

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Observation 2a579bec-bc2b-40b2-8e76-ccbbb2889224 · outbound

This paper cites Personalized federated learning for cross-city traffic prediction,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Personalized federated learning for cross-city traffic prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:13.171617Z

Source-reported events for the cited work

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Observation 1b56c4b4-1f36-4bd5-a9d3-a6f0a6fd603d · outbound

This paper cites A Survey on Federated Learning in Intelligent Transportation Systems.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 A Survey on Federated Learning in Intelligent Transportation Systems

Reference 12

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Observation bcb8d553-d14d-4607-8d88-697e7588d91c · outbound

This paper cites A survey on federated learning for resource-constrained iot devices,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 A survey on federated learning for resource-constrained iot devices,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:41:09.539881Z

Source-reported events for the cited work

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Observation 1d52af11-9244-4a4a-b60f-ddfffcae44e6 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Federated learning on non-iid data silos: An experimental study,

Reference 14

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Observation 4a794df5-c847-4196-aa9d-11aaf9044b1c · outbound

This paper cites Imteaj, K.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Imteaj, K

Reference 15

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Observation 235ade28-7a9c-4c87-9b29-96d242582f1e · outbound

This paper cites Federated optimization in heterogeneous networks,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Federated optimization in heterogeneous networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:12.998655Z

Source-reported events for the cited work

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Observation 7bf5f16f-82cc-4268-96ce-70f87574ffc8 · outbound

This paper cites SCAFFOLD: stochastic controlled averaging for federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 SCAFFOLD: stochastic controlled averaging for federated learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:12.824436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7d9b653-1a1d-4f63-9bc4-516739da6438 · outbound

This paper cites Unsupervised graph structure-assisted personalized federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Unsupervised graph structure-assisted personalized federated learning,

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T18:41:08.170241Z

Source-reported events for the cited work

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Deep learning in multiagent systems,

Reference 19

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Neighbor-based decentralized training strategies for multi-agent reinforcement learning,

Reference 20

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Observation dfa9ef6a-479d-4496-9b53-3f830d600a92 · outbound

This paper cites Field-based coordination for federated learning,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Field-based coordination for federated learning,

Reference 21

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Observation ceafb4d0-efc6-4d37-9459-62c5df101d31 · outbound

This paper cites Edge AI: On-demand acceler- ating deep neural network inference via edge computing,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Edge AI: On-demand acceler- ating deep neural network inference via edge computing,

Reference 22

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This paper cites Pruning and quantization for deep neural network acceleration: A survey,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Pruning and quantization for deep neural network acceleration: A survey,

Reference 23

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This paper cites Comparing training of sparse to classic neural networks for binary classification in medical data,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Comparing training of sparse to classic neural networks for binary classification in medical data,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Resprune: An energy-efficient restorative filter pruning method using stochastic optimization for accelerating cnn,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Resprune: An energy-efficient restorative filter pruning method using stochastic optimization for accelerating cnn,

Reference 25

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Unveiling the Power of Sparse Neural Networks for Feature Selection

Reference 26

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 27

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Aggregate programming for the internet of things,

Reference 28

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Macroprogramming: Concepts, state of the art, and opportunities of macroscopic behaviour modelling,

Reference 29

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 High spectro-temporal purity single-photons from silicon micro-racetrack resonators using a dual-pulse configuration

Reference 30

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 A higher-order calculus of computational fields,

Reference 31

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Space-time universality of field calculus,

Reference 32

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Engineering resilient collective adaptive systems by self-stabilisation,

Reference 33

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Self-adaptation to device distribution in the internet of things,

Reference 34

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Self-organising coordination regions: A pattern for edge computing,

Reference 35

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 FBFL: A field-based coordination approach for data heterogeneity in federated learning,

Reference 36

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Scarlib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning,

Reference 37

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This paper cites Field-informed reinforcement learning of collective tasks with graph neural networks,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Field-informed reinforcement learning of collective tasks with graph neural networks,

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:41:09.037586Z

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Observation 85f473b6-dde3-4258-9db2-08d478e6d6c8 · outbound

This paper cites Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science,.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:11.545530Z

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Mnist handwritten digit database,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:11.385779Z

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Cifar-10 (cana- dian institute for advanced research)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:11.269159Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3ae847f-651f-4c1b-a7f3-88d9c877639f · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Flower: A Friendly Federated Learning Research Framework

Reference 42

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Pyjoules: Python library that measures python code snippets,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:11.108996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 Lecture Notes in Computer Science, G

Reference 2018

Resolution: verified exact; doi, observed 2026-08-06T18:41:07.804284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67486991-65b8-4687-ab59-6a774a0a87d6 · outbound

This paper cites ProFed: a Benchmark for Proximity-based non-IID Federated Learning.

Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 ProFed: a Benchmark for Proximity-based non-IID Federated Learning

Reference 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.