Paper Citation Record · LEDGER

LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2008.03371.

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

pith.paper-citation-record.v1
2008.03371 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.743011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:33:42.240306Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5d0e18de-3a80-4707-9ca0-f33f50ab92a2 · inbound

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.743011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4735ba66-55d4-43ec-99d6-2e50b4ae2405 · inbound

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift cites this paper.

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:46:08.324477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae9f20c-517f-432a-ab3e-9c8a33b8793e · inbound

A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing cites this paper.

A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:26:33.603945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368ac7df-3651-400f-8b7b-de1d1c860521 · inbound

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems cites this paper.

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:54.827861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff1e93b-bfba-452d-9e99-fda5880eb099 · inbound

Sketched Gaussian Mechanism for Private Federated Learning cites this paper.

Sketched Gaussian Mechanism for Private Federated Learning LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.762668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685ce54f-051d-4972-8d7f-008f9a1dd5d3 · inbound

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs cites this paper.

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:01:21.167519Z

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 c935481f-f5e6-43c8-876f-c11fdeb6c4be · inbound

Representation-Aligned Multi-Scale Personalization for Federated Learning cites this paper.

Representation-Aligned Multi-Scale Personalization for Federated Learning LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:01.457661Z

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 bf607035-9181-48e6-9732-c6e8831ba69e · inbound

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems cites this paper.

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:33:42.243184Z

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 fd626a06-2f10-479a-a8d6-4443ddb4a365 · inbound

Sheaf-Based Federated Representation Learning cites this paper.

Sheaf-Based Federated Representation Learning LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T00:38:26.332516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.