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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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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no resolver link, observed 2026-08-04T19:27:40.340896Z

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source=arxiv_source observed=2026-08-04T19:27:40.340896Z digest=sha256:e7ef3edcf21db6ce9525792fd91fee03368ff13cec1bef0495799d3500e74e34

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=sha256:936160d7a89471019b5c95f187276ebddb63c09c3edfac073d40a4b039d4fa52

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=sha256:805d231f1bd0014b5173148314d83707c2907c581e6a64fe88659db4a5b0eec4

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=sha256:0aa6ccdfb37252f343e28fc3579b1753d2812fe1f5ee03596fe81e3c65378c15

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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source=arxiv_source observed=2026-08-04T19:27:40.367699Z digest=sha256:3769941875b15888f5e1b4a1be918f76808f9d580ffa48b313228f68143fc61b

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:afefbccc744d8d6a4603c110a865024738208b698375d3bdcb800eb13ef08b22

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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no resolver link, observed 2026-08-04T19:27:40.377443Z

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source=arxiv_source observed=2026-08-04T19:27:40.377443Z digest=sha256:526e2c3bf8bc71189eed2b0238abea0f04cecfc65f8470bb94f6aa1bd8b5b9cc

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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source=arxiv_source observed=2026-08-04T19:27:40.381953Z digest=sha256:11299b4adf82f8f6c81d8c2c47cf8785f97a00a4ba39d2a59ae8291b388cae27

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:af00d89886990fbd4367102d88f3b610b04e8cd54d519b2e40fcd0d7e0e53070

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:c00966d04db76b72ac292c06a841dc4a785fd3a96e5968a91e061f74f6977bb9

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=sha256:13c1d95d73b12f788f13ed2266c688ded99029c3a919e3b444dfe54d9f369367

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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no resolver link, observed 2026-08-04T19:27:40.399417Z

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source=arxiv_source observed=2026-08-04T19:27:40.399417Z digest=sha256:853ceab5291280df307e3da26ce5e5c81aa8711479ba0285cc7c3d49cb0bd444

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=sha256:8824aa1a8193bd76882d52d76479689b7b4c439d08848c4dff618ff3e89ce90d

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=sha256:4646e31d9969739ef17c47827839dc70441bc0bad27c4d416496baf3082caaa1

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=sha256:414f9e64bcf626ed609170a09987a358b95ebcfd538b86ca637bdf9146547ad5

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=sha256:7415e32c6ca322b6fa318f39f91419c39384c3e47cd7808b8a730c8b1f52b257

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=sha256:239c13e1a5435896166e4202519e6c9a6f450d1a23ff1bedae11f418da558304

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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source=arxiv_source observed=2026-08-04T19:27:40.425127Z digest=sha256:70f770615488296f253e88c40c7254bd783aa504239adf1c67789f349da3de7e

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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source=arxiv_source observed=2026-08-04T19:27:40.429554Z digest=sha256:21baf09d0babbcb07b8e93ba22a8f92ec8815fa7e5443320f26feff1451dad55

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=sha256:12354ef301acdb1291f88dbf9c4ee7212d6e489edf7a758a844495b951d1c09a

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=sha256:5eca0a30945f290b0299d89b7b6377dbdb83e601ab6051ab33dbb0dce297622a

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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no resolver link, observed 2026-08-04T19:27:40.442087Z

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source=arxiv_source observed=2026-08-04T19:27:40.442087Z digest=sha256:d1b0023a585d2e04b7553b33fcea183f4de22c32fc12842dc80de049c8cf6427

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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no resolver link, observed 2026-08-04T19:27:40.445940Z

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source=arxiv_source observed=2026-08-04T19:27:40.445940Z digest=sha256:93d27f33d7fc8eb794cd964c2e5b9309418d93d2e01ee7e673b98ea37fbd939a

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=sha256:9fa2c19d76d32f87fc36266ef0803edcf41aed42791e7f9791966e57944344a4

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=sha256:3d7149dc88c96eeb135aa38162c4a28cc77f247b5d67f9252be7b64095f96030

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=sha256:04cc667a9af139799a1dd83ddefd425134b5d7f0d046696a2874a63902400c0c

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=sha256:4932f91baddd61a57cedd8233a2f6641f4b4e7633b7e720be95df050daa95f28

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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source=arxiv_source observed=2026-08-04T19:27:40.469039Z digest=sha256:1ca0fa0c313c33b461b03eb49d74a726fa8958b637fdf2571457c832ab8e298e

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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source=arxiv_source observed=2026-08-04T19:27:40.473676Z digest=sha256:ba2c59903e27f8ea7b675bd5206f002d318b8cc6ce616a57621ad074902f380d

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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source=arxiv_source observed=2026-08-04T19:27:40.477811Z digest=sha256:aea71c599946986189998ddce4c5acb9e3134e478a88be52412d4e826171c8ab

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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source=arxiv_source observed=2026-08-04T19:27:40.482167Z digest=sha256:4c94f38c5572e3151561e8a28d0ea98c5a9f544335ecb5b585455467baab1596

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=sha256:3e3f445e1098cdd59f3c245e0b06e613609752cd6816e68c76ee5c1b2562a2d9

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=sha256:5780415ae255007704214ced0c9143ff93075e22b0ea3252056696a23250b4b8

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=sha256:8f6d5a23fdab159ed74428c1875aa1d7f690ee7544af7d60284d67eaa6e57980

Pith citing papers

No inbound Pith citation observations are available.