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Paper Citation Record · LEDGER

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System

As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.18384.

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

pith.paper-citation-record.v1
2606.18384 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:24:34.410250Z

measured 46 of 46 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy0
  • unresolved44
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Outbound references

Observation a717a326-decd-49d2-99bd-18f63eb059e4 · outbound

This paper cites Federated learning design and functional models: Survey,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Federated learning design and functional models: Survey,

Reference 1

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Observation 53295b83-a97f-42e8-b59e-874ea3a4f26f · outbound

This paper cites Federated Learning: From Theory to Practice.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Federated Learning: From Theory to Practice

Reference 2

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Observation d86b4eeb-8607-452b-8953-ca24111bb299 · outbound

This paper cites Spyker: Asynchronous multi-server federated learning for geo-distributed clients,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Spyker: Asynchronous multi-server federated learning for geo-distributed clients,

Reference 3

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Observation 59e9c323-7b7f-43ff-a4a6-9dad31d27c99 · outbound

This paper cites Towards bilateral client selection in federated learning using matching game theory,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Towards bilateral client selection in federated learning using matching game theory,

Reference 4

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Observation 5b5db981-5a62-42c6-98b7-f6cba62622f5 · outbound

This paper cites Flight: A faas-based framework for complex and hierarchical federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Flight: A faas-based framework for complex and hierarchical federated learning,

Reference 5

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Observation dcbcb6cf-1412-4794-968e-f9c57e29738a · outbound

This paper cites Client selection in federated learning: A dynamic matching-based incentive mechanism,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Client selection in federated learning: A dynamic matching-based incentive mechanism,

Reference 6

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Observation 47185981-698c-493f-ba7e-200fdc6a17e4 · outbound

This paper cites Optimality and stability in federated learning: A game-theoretic approach,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Optimality and stability in federated learning: A game-theoretic approach,

Reference 7

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Observation 41c77cd1-c26f-4dcb-b13a-1ce656c342ef · outbound

This paper cites Bichler,Market design: a linear programming approach to auctions and matching.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Bichler,Market design: a linear programming approach to auctions and matching

Reference 8

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Observation 508c5ba3-a37a-4491-84e3-0c1944d4e59d · outbound

This paper cites Haeringer,Market design: auctions and matching.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Haeringer,Market design: auctions and matching

Reference 9

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Observation b677e8f7-ef39-46e6-a94c-c55fcdb13f86 · outbound

This paper cites Federated learning using game strategies: State- of-the-art and future trends,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Federated learning using game strategies: State- of-the-art and future trends,

Reference 10

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Observation 55a9bb92-3fc3-4dc4-bfbd-9256c4036378 · outbound

This paper cites A systematic review of federated learning incentive mechanisms and associated security challenges,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System A systematic review of federated learning incentive mechanisms and associated security challenges,

Reference 11

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Observation 4e8ef0c3-7523-458b-9774-9ea8720039c7 · outbound

This paper cites Profit allocation for federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Profit allocation for federated learning,

Reference 12

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Observation 8940868a-f004-427b-884f-adf02ccc5f59 · outbound

This paper cites Block-racs: Towards reputation- aware client selection and monetization mechanism for federated learn- ing,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Block-racs: Towards reputation- aware client selection and monetization mechanism for federated learn- ing,

Reference 13

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Observation 1955f432-6a7a-4fea-8513-75bcd156fe9f · outbound

This paper cites Participant selection for hierar- chical federated learning in edge clouds,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Participant selection for hierar- chical federated learning in edge clouds,

Reference 14

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Observation 621750e8-0c82-4cdd-9e08-64a14b27cd7f · outbound

This paper cites School choice: A mechanism design approach,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System School choice: A mechanism design approach,

Reference 15

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Observation 8574f61f-364a-409e-be02-198490854baf · outbound

This paper cites Robust minimal instability of the top trad- ing cycles mechanism,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Robust minimal instability of the top trad- ing cycles mechanism,

Reference 16

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Observation 9f9af2c0-f86f-412c-ad7f-46834e8ad082 · outbound

This paper cites An efficient algorithm for the “optimal.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System An efficient algorithm for the “optimal

Reference 17

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Observation e4fdf37d-7d0c-4f40-a86a-82b211953894 · outbound

This paper cites A comprehensive survey on client selection strategies in federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System A comprehensive survey on client selection strategies in federated learning,

Reference 18

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Observation 48555158-8841-42e5-8554-7f3f5f83f583 · outbound

This paper cites Fairness-aware client selection for federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Fairness-aware client selection for federated learning,

Reference 19

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Observation 98407e2f-bae1-471c-9af9-16412e8d43ed · outbound

This paper cites Client selection in federated learning based on gradients importance,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Client selection in federated learning based on gradients importance,

Reference 20

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Observation bcefa37e-48e9-47c1-91f4-576b3e73aa29 · outbound

This paper cites Deep-reinforcement-learning-assisted client selection in nonorthogonal- multiple-access-based federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Deep-reinforcement-learning-assisted client selection in nonorthogonal- multiple-access-based federated learning,

Reference 21

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Observation f7bc4428-1e45-4e87-a09e-d552f977e204 · outbound

This paper cites Towards mutual trust-based matching for federated learn- ing client selection,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Towards mutual trust-based matching for federated learn- ing client selection,

Reference 22

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Observation f4fedd94-3d1d-4d56-bb27-69cc12c48d51 · outbound

This paper cites Context-aware online client selection for hierarchical federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Context-aware online client selection for hierarchical federated learning,

Reference 23

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Observation 25f75f31-0935-4f82-b53d-aaf0ce921a0c · outbound

This paper cites Incentivized federated learning: A survey,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Incentivized federated learning: A survey,

Reference 24

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Observation daee55c3-6072-4c58-8050-7b704a51afa2 · outbound

This paper cites Dualgfl: Federated learning with a dual-level coalition-auction game,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Dualgfl: Federated learning with a dual-level coalition-auction game,

Reference 25

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Observation 93781739-e534-4b1b-a02e-45f6ea27c8d9 · outbound

This paper cites Resource allocation and pricing for multi-server multi-model federated learning based on market equilibrium,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Resource allocation and pricing for multi-server multi-model federated learning based on market equilibrium,

Reference 26

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Observation f80eb076-c36c-482e-81a9-e8de7aafec90 · outbound

This paper cites Multi-uav-assisted federated learning for energy-aware distributed edge training,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Multi-uav-assisted federated learning for energy-aware distributed edge training,

Reference 27

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Observation 719d6997-4970-4b31-b85e-731bce47c6a8 · outbound

This paper cites Hierarchical federated learning in multi-hop cluster-based vanets,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Hierarchical federated learning in multi-hop cluster-based vanets,

Reference 28

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Observation e37f3eb1-9901-4946-8249-868295e5a846 · outbound

This paper cites Hierarchical federated learning with momentum acceleration in multi-tier networks,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Hierarchical federated learning with momentum acceleration in multi-tier networks,

Reference 29

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Observation aa8cdee5-7631-446f-8e65-c6f6abf65604 · outbound

This paper cites Blockchain-empowered federated learning: Benefits, challenges, and solutions,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Blockchain-empowered federated learning: Benefits, challenges, and solutions,

Reference 30

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Observation 684833a7-0c9c-4c2b-ba4a-dcd45cd4e011 · outbound

This paper cites Decentralized federated learning based on blockchain: concepts, framework, and challenges,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Decentralized federated learning based on blockchain: concepts, framework, and challenges,

Reference 31

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Observation 6077600d-a575-476e-8c2f-ec0128d7442c · outbound

This paper cites Adapting security and decen- tralized knowledge enhancement in federated learning using blockchain technology: literature review,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Adapting security and decen- tralized knowledge enhancement in federated learning using blockchain technology: literature review,

Reference 32

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Observation 3023b06d-8088-4d70-a7bd-ebce8a4804e3 · outbound

This paper cites Blockchain-based framework for scalable and incentivized federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Blockchain-based framework for scalable and incentivized federated learning,

Reference 33

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Observation c449da49-717d-48de-8b93-59c01d682f82 · outbound

This paper cites An efficient blockchain assisted reputation aware decentralized federated learning framework,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System An efficient blockchain assisted reputation aware decentralized federated learning framework,

Reference 34

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Observation aaadd575-1f1b-4859-b81e-a425eeca4456 · outbound

This paper cites Flwrbc: Incentive mechanism design for federated learning by using blockchain,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Flwrbc: Incentive mechanism design for federated learning by using blockchain,

Reference 35

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Observation 6f4a339c-32a0-49b2-8644-3c884bcc9052 · outbound

This paper cites A multi-center federated learning mechanism based on consortium blockchain for data secure sharing,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System A multi-center federated learning mechanism based on consortium blockchain for data secure sharing,

Reference 36

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Observation 489a5227-ca6f-4552-8855-539399797754 · outbound

This paper cites Client-edge-cloud hierarchical federated learning,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Client-edge-cloud hierarchical federated learning,

Reference 37

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source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:d8ef48f4c675804c10feb95391311acade8099fe73eda8648402c92eccd1f2ea

Observation bb0e8844-7f1f-4b89-9745-a16e9d870994 · outbound

This paper cites A review of blockchain platforms based on the scalability, security and decentralization trilemma.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System A review of blockchain platforms based on the scalability, security and decentralization trilemma

Reference 38

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source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:f2257a3c748f5ccfa62035fec3048a01ce1663caf5939f4d8f88037da00d3a8b

Observation 906b51a9-386f-4f6b-ae5f-3df784603923 · outbound

This paper cites Improved trustchain for lightweight devices,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Improved trustchain for lightweight devices,

Reference 39

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unresolved
no resolver link, observed 2026-06-27T01:24:34.410250Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:3d94e28d6b970d6f6bdce40f48a6a9d5ce2e57e50b0e543ee3fe360bbdd72801

Observation 97ec8f1f-0da0-4d92-addc-cfb264c6a9c2 · outbound

This paper cites On the suitability of improved trustchain for smartphones.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System On the suitability of improved trustchain for smartphones

Reference 40

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source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:9ddb4ef9e43a9527d6387214e83a9f7560ded08cc15256dea2418e4b609948af

Observation 833eb901-0ca5-4d87-9de8-75fa50fa3e91 · outbound

This paper cites Kurtosis github page,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Kurtosis github page,

Reference 41

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no resolver link, observed 2026-06-27T01:24:34.410250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:a55847a5b5f23bd334f055a5b95a3a311c8c449ab92457587c83d833cbd43b20

Observation 7e16f455-1639-4e68-87dd-c3bcc23669b8 · outbound

This paper cites Cifar-10 dataset,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Cifar-10 dataset,

Reference 42

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no resolver link, observed 2026-06-27T01:24:34.410250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:c193d773120cb30a6f64e65c90ef9dc2b598e37a41beadd4237561a77e6ec52c

Observation f537c4ec-10f8-4b77-a53e-5e87a35d375f · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 43

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verified exact
local_arxiv, observed 2026-07-03T20:18:57.365212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:815b39a80185c6f89a7b8f022105216d89ca03380813884d5b6dc0903f0e3a81

Observation cbd9b2f3-c62c-49ca-991c-56991e970d10 · outbound

This paper cites Deferred acceptance algorithms: History, theory, practice, and open questions,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Deferred acceptance algorithms: History, theory, practice, and open questions,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:fbb6af3e826d60111e76680b2be62258deca68be41fb4c4fb897936a4ceb3874

Observation 084cdf8b-1d36-4b12-888d-da4d1f9463ae · outbound

This paper cites A school choice compromise: between immediate and deferred acceptance,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System A school choice compromise: between immediate and deferred acceptance,

Reference 45

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no resolver link, observed 2026-06-27T01:24:34.410250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:6ad64ecd36f21fd542b47962b1135444c9380b80d08552177509bc53fca95488

Observation 31b9f869-fee7-40ee-a9a1-ce710729181e · outbound

This paper cites Ethereum: A secure decentralised generalised trans- action ledger shanghai version,.

SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System Ethereum: A secure decentralised generalised trans- action ledger shanghai version,

Reference 46

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no resolver link, observed 2026-06-27T01:24:34.410250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T01:24:34.410250Z digest=sha256:056452b3ed54339e116414ed3a749c7631fbe9abe47f8bda5a9f46047c23eb91

Pith citing papers

No inbound Pith citation observations are available.