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Paper Citation Record · LEDGER

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.01861.

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

pith.paper-citation-record.v1
2608.01861 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:40.495197Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f821ee9-2ad5-4211-a2e6-6c068a3a08b1 · outbound

This paper cites Federated Learning in Mobile Edge Networks: A Comprehensive Survey , year=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Federated Learning in Mobile Edge Networks: A Comprehensive Survey , year=

Reference 1

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source=arxiv_source observed=2026-08-04T19:27:40.340896Z digest=sha256:a10ff7bea4bcfdddc64d31de94d2086b7c35fc840f3767d2227fcba92a90222e

Observation e5c997f7-cff5-42ec-ac4d-12f854ac0fd8 · outbound

This paper cites Artificial intelligence and statistics , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Artificial intelligence and statistics , pages=

Reference 2

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source=arxiv_source observed=2026-08-04T19:27:40.345521Z digest=sha256:578cbe8eb7d5f574920226f73bc35a6501ab958bc0cf524d1afed34a8e4eb15c

Observation afb206bc-44a0-4e2a-bfa1-8d33556f373e · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning The Eleventh International Conference on Learning Representations , year=

Reference 3

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no resolver link, observed 2026-08-04T19:27:40.351431Z

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source=arxiv_source observed=2026-08-04T19:27:40.351431Z digest=sha256:5fd6d745ba02d53b5db899e0bf8b2d3e0ca3ac9456070e9f0f9b2ab780aa5e21

Observation 5c23ab95-c8fc-4db7-a7f3-1a0baef92f6f · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 4

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no resolver link, observed 2026-08-04T19:27:40.355892Z

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source=arxiv_source observed=2026-08-04T19:27:40.355892Z digest=sha256:0195aa8bb1a042ff60e87f9ce1bbec7e0f462b144bd4e7485f796ee30bda3c62

Observation 622e1173-c76b-48ac-a14a-9c4f39aac994 · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 5

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no resolver link, observed 2026-08-04T19:27:40.367699Z

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source=arxiv_source observed=2026-08-04T19:27:40.367699Z digest=sha256:7167611fd6ad6d6f0a92200c8580985c02ceb8257b33f10352a32c2a9872a47b

Observation 0d0fa0a9-632d-4577-aaf5-01e10dd1b2f0 · outbound

This paper cites International Conference on Machine Learning , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning International Conference on Machine Learning , pages=

Reference 6

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no resolver link, observed 2026-08-04T19:27:40.372519Z

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source=arxiv_source observed=2026-08-04T19:27:40.372519Z digest=sha256:745f63aaa397982ed8d2e6a770eb0b913343caf3ae983d85c4da67f23a2d2d30

Observation e742d0bd-f5a3-4d81-a592-b17579b88ee7 · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 7

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source=arxiv_source observed=2026-08-04T19:27:40.377443Z digest=sha256:d5ade7454089682cd546f72c9045afae6293491a71b77aa11d51d1eb3b9edd68

Observation 6f587773-8b0e-46c5-b0bb-38afce7c5686 · outbound

This paper cites 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 , pages=

Reference 8

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no resolver link, observed 2026-08-04T19:27:40.381953Z

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source=arxiv_source observed=2026-08-04T19:27:40.381953Z digest=sha256:e2f99d7a56fff59817a0c979fcf386853084173e9bd820967b6156a7f3111889

Observation 13aaa271-23c0-405b-b99d-a436643ace69 · outbound

This paper cites Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) , pages=

Reference 9

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no resolver link, observed 2026-08-04T19:27:40.386126Z

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source=arxiv_source observed=2026-08-04T19:27:40.386126Z digest=sha256:50f8e27e46fd5719ed201b36e0ab148950a16ba0a0e1154b26d3bf103ca96d0e

Observation 636847bc-27ac-47ef-a1c6-bdcceb49fc18 · outbound

This paper cites International conference on machine learning , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning International conference on machine learning , pages=

Reference 10

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no resolver link, observed 2026-08-04T19:27:40.390324Z

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source=arxiv_source observed=2026-08-04T19:27:40.390324Z digest=sha256:392b61003c609a42cd62d934375505fc6a433f9e4c8c7a07661018384d456398

Observation 56191a60-9b36-468e-9806-c9545f46935b · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 11

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source=arxiv_source observed=2026-08-04T19:27:40.394938Z digest=sha256:ad320579a1500693ee8879145b97168e49e7b44177a5fd149db084c1d10004c2

Observation 4b0b61db-b259-4148-8950-c017caf55de1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 12

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source=arxiv_source observed=2026-08-04T19:27:40.399417Z digest=sha256:c7c09d90fed64b778cccd9e37a865d1f70f373d9ae41c7e1b7eb3bd66f6b3f49

Observation d5b1fda6-4524-4af8-bb42-578787c67f9e · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 13

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source=arxiv_source observed=2026-08-04T19:27:40.403840Z digest=sha256:0423f5826dec70876a847937407cc5fb738f901e95a3b976e139f3d29632064a

Observation 1c5d94b1-a5e4-4c83-9aa8-f6e991fd898f · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning FedMD: Heterogenous Federated Learning via Model Distillation

Reference 14

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source=arxiv_source observed=2026-08-04T19:27:40.407990Z digest=sha256:2a846ade9a400ca44c428a88a28f56962f3da41382bd9e183c6da535812f075e

Observation f3e1a132-f7a5-49db-a006-3f39371ab520 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 15

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no resolver link, observed 2026-08-04T19:27:40.413395Z

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source=arxiv_source observed=2026-08-04T19:27:40.413395Z digest=sha256:52147ddd5e370faeca261819cd6841521491da0493ce8fa934f3d1a3197f2f7f

Observation c367ee14-2ab9-4be8-94aa-179a091c15a5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 16

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no resolver link, observed 2026-08-04T19:27:40.417219Z

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source=arxiv_source observed=2026-08-04T19:27:40.417219Z digest=sha256:e0a4bcb0aff693a3e7e53ade0267cc4b378a92152267a136b5d7e7435b5496dd

Observation 943d2cac-12be-4724-b48e-9b6371e10bcf · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning IEEE transactions on knowledge and data engineering , volume=

Reference 17

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no resolver link, observed 2026-08-04T19:27:40.421156Z

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source=arxiv_source observed=2026-08-04T19:27:40.421156Z digest=sha256:d891465739114e8ea579ec196b4938d012b268e86f25cf9b8685cae22f335d07

Observation 6d53517b-8b32-4a6c-9adf-4752b6b4c8cf · outbound

This paper cites Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=

Reference 18

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no resolver link, observed 2026-08-04T19:27:40.425127Z

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source=arxiv_source observed=2026-08-04T19:27:40.425127Z digest=sha256:61793b66dd2c23aecb8275b010b2891610bb6013a8c11bb61a2ccbdf066cd760

Observation 3604926b-97fd-493a-b384-5aaac1fed430 · outbound

This paper cites IEEE Internet of Things Journal , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning IEEE Internet of Things Journal , volume=

Reference 19

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no resolver link, observed 2026-08-04T19:27:40.429554Z

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source=arxiv_source observed=2026-08-04T19:27:40.429554Z digest=sha256:576389bf096fb4438d77dc916612950be85268c0faf90428ef4f5b6cf8aad441

Observation 773a12f8-b9d7-41cb-806e-a7271e936dcd · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 20

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no resolver link, observed 2026-08-04T19:27:40.433742Z

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source=arxiv_source observed=2026-08-04T19:27:40.433742Z digest=sha256:6f372a02f66c51e3e3f22959f4d03a30d5f319b226bc9dd49ab77b51813ecc77

Observation ac300495-3f14-48f4-896b-a7c7d991d414 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 21

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no resolver link, observed 2026-08-04T19:27:40.437920Z

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source=arxiv_source observed=2026-08-04T19:27:40.437920Z digest=sha256:a88c5445c71853e75fbf2a7163ea25413bcfcd398789fb73caac3b836db7b9b5

Observation ee60007d-e1d7-4e3f-80d8-dd589e087466 · outbound

This paper cites 9th International Conference on Learning Representations, ICLR 2021 , year=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning 9th International Conference on Learning Representations, ICLR 2021 , year=

Reference 22

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source=arxiv_source observed=2026-08-04T19:27:40.442087Z digest=sha256:8a8ff62f3d74b8aa9099b511531c2e6bb4f70ef9477233e4db2f05768c7f5f98

Observation c7da9e34-c323-449d-a617-a58d1051e3df · outbound

This paper cites IEEE wireless communications letters , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning IEEE wireless communications letters , volume=

Reference 23

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source=arxiv_source observed=2026-08-04T19:27:40.445940Z digest=sha256:1b89e9068c22dfb8e426204a82e7774cc5b4579d2bab926878da4a663e1447f3

Observation 9a6fa946-e2cb-4bb5-a75c-c7a76d6e000e · outbound

This paper cites IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , volume=

Reference 24

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source=arxiv_source observed=2026-08-04T19:27:40.449985Z digest=sha256:7c56df66c1c1a9dbc827581ce2a1a797c80a7560dc9fd7d6f473d38ca838512a

Observation 80deeba5-b892-45a0-a79f-3db3a97f2df0 · outbound

This paper cites FedShapleX: Shapley Value Driven Context-Aware Model-Heterogeneous Federated Learning , year=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning FedShapleX: Shapley Value Driven Context-Aware Model-Heterogeneous Federated Learning , year=

Reference 25

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source=arxiv_source observed=2026-08-04T19:27:40.455473Z digest=sha256:c404b0bdf643bfb23cb63ccc804ce36274cf2a64e590d66d46eaf5ef4ab5da27

Observation 442af116-77ae-4314-ba93-685304953782 · outbound

This paper cites Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search

Reference 26

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source=arxiv_source observed=2026-08-04T19:27:40.460009Z digest=sha256:c68d43ed29a60b46efa8ae621533de798272299b5b91718803aa0226a19b5114

Observation 055ba8aa-bdf4-4441-a9f1-859e222677a7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 27

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no resolver link, observed 2026-08-04T19:27:40.464952Z

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source=arxiv_source observed=2026-08-04T19:27:40.464952Z digest=sha256:4dc43678b873a99e65a73f6698d7ae55922767c3f6d93f6473db845cea2f9c2d

Observation 1952157b-8f81-4b7f-81c9-895304d9758d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 28

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no resolver link, observed 2026-08-04T19:27:40.469039Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:27:40.469039Z digest=sha256:c5d68bfd3e3961c61b8c9b68db4e6ff50efc7e47d21173f4fd917683894599d9

Observation 393ecc26-b063-461c-9315-cef55f2fcef5 · outbound

This paper cites IEEE Transactions on Mobile Computing , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning IEEE Transactions on Mobile Computing , volume=

Reference 29

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no resolver link, observed 2026-08-04T19:27:40.473676Z

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source=arxiv_source observed=2026-08-04T19:27:40.473676Z digest=sha256:81e306c4992a8ff638a3b56556395fb69b521b7ae08ec073695aad444ea46ced

Observation 5f1e6180-a958-49ac-b231-d6ba61eb7713 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 30

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no resolver link, observed 2026-08-04T19:27:40.477811Z

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source=arxiv_source observed=2026-08-04T19:27:40.477811Z digest=sha256:142aa859f6a2546b437a14bf909ce8d712bd1c717e03401432f18112e594fbfa

Observation 8b34dd6c-6adc-4ef8-801c-257a22ee4866 · outbound

This paper cites International conference on machine learning , pages=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning International conference on machine learning , pages=

Reference 31

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no resolver link, observed 2026-08-04T19:27:40.482167Z

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source=arxiv_source observed=2026-08-04T19:27:40.482167Z digest=sha256:e0f022df6032d644054f67459c32cd99efc653f45c3c1820cc2b8994b9fb36d4

Observation 1805c6e2-c09a-481c-8901-c7cf30d3ebe0 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Journal of Artificial Intelligence Research , volume=

Reference 32

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no resolver link, observed 2026-08-04T19:27:40.487143Z

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source=arxiv_source observed=2026-08-04T19:27:40.487143Z digest=sha256:843b015c96a5afaea43983ad03091da995881c4b8ed90d20bd6c62c5b8b60a95

Observation 25d98145-e2f1-4641-bd1f-8e56a09b54c8 · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 33

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source=arxiv_source observed=2026-08-04T19:27:40.491235Z digest=sha256:7b27b08199a7a7a5ad142a3f90e7e1ca03de606fb4c3b0dea31d709fe007461c

Observation 599ca8ca-6aaa-4aeb-8a58-eb74596b8897 · outbound

This paper cites Advances in neural information processing systems , volume=.

FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning Advances in neural information processing systems , volume=

Reference 34

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no resolver link, observed 2026-08-04T19:27:40.495197Z

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source=arxiv_source observed=2026-08-04T19:27:40.495197Z digest=sha256:834f2bd12333a97075a58f9d9b4c7f06a17cca5ef6a8b8bb87b30fee90b6d01e

Pith citing papers

No inbound Pith citation observations are available.