Pith. sign in

Paper Citation Record · LEDGER

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.20648.

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

pith.paper-citation-record.v1
2505.20648 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:26.596185Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

  • verified exact3
  • verified fuzzy12
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd4f1b77-e887-4672-8483-75d90b811057 · outbound

This paper cites K-means V oronoi Jura 0.928 0.922 0.928 0.923 0.925 0.935 SARCOS 0.884 0.883 0.881 0.888 0.877 0.949 B.5.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning K-means V oronoi Jura 0.928 0.922 0.928 0.923 0.925 0.935 SARCOS 0.884 0.883 0.881 0.888 0.877 0.949 B.5

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:27.330251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:26.596185Z digest=sha256:fb1e38fc57d48bd2aaee9f2c84208649b091fbbd0c3b6013ea71c45e6a14fa4a

Observation ec18bc58-34cb-4c09-b8cd-51f905c5547e · outbound

This paper cites and Grabocka, J.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning and Grabocka, J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:28.644601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.654690Z digest=sha256:b473d62ecc3feb25964d47ae6bd155e34aa20ce386a3fff586231fd038dd29a4

Observation 97deef1d-4a41-4c37-ba16-05b1a3d30153 · outbound

This paper cites an unresolved cited work.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:28.452783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.741136Z digest=sha256:a8025636060346d8a74b61793723a796b65ba744ea4e30f825f57fba3de15876

Observation fad45e7b-ee81-4fee-8428-5f3f4db46b37 · outbound

This paper cites MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:25.875942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:25.875942Z digest=sha256:f621507ca96336683b1374c58b1ba4142032c0de46bb9f495f0e024a9867d8c8

Observation dedadf89-3c84-4d8d-90e9-b9cb71deee68 · outbound

This paper cites an unresolved cited work.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T13:57:26.780814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.967331Z digest=sha256:9702f16f2c052d255fa554037385c06ff361b71d01b352353f415380151b5f55

Observation 2689b8c6-cdc2-4bcd-8c92-754d0ea7d9b7 · outbound

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

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:26.110243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:26.110243Z digest=sha256:ee5b35bc1a5a65e88d6c73a9c12d957e56d9c810bcb089a5278d09bb0180e1d5

Observation 70a884ed-19d7-4f8d-a027-80db9f04a288 · outbound

This paper cites The hypervolume indicator revisited: On the design of pareto-compliant in- dicators via weighted integration.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning The hypervolume indicator revisited: On the design of pareto-compliant in- dicators via weighted integration

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:27.962679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:26.317490Z digest=sha256:488024f6566bce82591a312c8b238e44601058aa7f1a463774619365f40c7a3a

Observation fafac3cc-8390-4da2-9f9f-4d5c01171253 · outbound

This paper cites the friend of my enemy is my enemy.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning the friend of my enemy is my enemy

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:27.545338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:26.509058Z digest=sha256:37cc2e8760e2f9cbda7cd03c06e81c946e50d4d3ccfee7bb01f521ddd525cfb5

Observation 13043d28-31bb-415b-81f2-012ef61a387f · outbound

This paper cites Aspect-based sentiment analysis of drug reviews applying cross-domain and cross-data learning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Aspect-based sentiment analysis of drug reviews applying cross-domain and cross-data learning

Reference 1997

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:29.739903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.128922Z digest=sha256:6abcb0d7cd7a2172eac5ebbc69f7cc95975a4a98c50726945953019301929962

Observation 346fe719-c304-4835-aac6-a09f6c85a596 · outbound

This paper cites Benchmarking data heterogeneity evaluation approaches for personalized federated learning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Benchmarking data heterogeneity evaluation approaches for personalized federated learning

Reference 1998

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:29.334513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.343996Z digest=sha256:32520b016cfe6d3aa53b66be5fbf6d8f123f7e3e1c818706520fdd0efc315df4

Observation 20d23f99-277b-434a-818a-e760cfeba9cf · outbound

This paper cites Wang, H., Deutz, A., B ¨ack, T., and Emmerich, M.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Wang, H., Deutz, A., B ¨ack, T., and Emmerich, M

Reference 2000

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:28.206886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.814054Z digest=sha256:3a9069dfbdfe989bba8bac2780849fefe3d362247e9a1b0927dd831427ecd054

Observation 41deda46-3ea1-49a3-aa1b-d55560f86590 · outbound

This paper cites Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:25.043784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:25.043784Z digest=sha256:c7f2ea65d1a362b5a9a9c60cd8de234d8b7948a875d3405393cb4f0277516456

Observation 42745dd9-4a8a-4f92-9e87-6c49a4ad7a8b · outbound

This paper cites Self-Evolutionary Optimization for Pareto Front Learning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Self-Evolutionary Optimization for Pareto Front Learning

Reference 2004

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:57:27.116252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:24.870000Z digest=sha256:e0e735cbcaa1e372b8cfbb03eb4bcb1d861347f8a228be1cd7ba52164800b0ad

Observation ac3fed1b-00b5-4e8d-9e59-069972a4c501 · outbound

This paper cites Theoretical Analysis.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Theoretical Analysis

Reference 2007

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:27.758969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:26.421378Z digest=sha256:98198e57b5f4dc92aabf41164ffb3b9c083deecab54f706d53cdc2134884f9ca

Observation fe6e58b4-4962-4846-9200-5eaf5815b145 · outbound

This paper cites Crafting papers on machine learning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Crafting papers on machine learning

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:25.298043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:25.298043Z digest=sha256:31c28414224fac9e2803684d6e88bb290389024d79c4a876fb1b9d33bffd1eb5

Observation 5a95111a-2589-4c92-9936-e2a50a40a64a · outbound

This paper cites and Impedovo, D.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning and Impedovo, D

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:28.837926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.527458Z digest=sha256:a48dc8401de3535d8a27da9bdaa7180c0d22cabe80d2eba0de1476164833ed83

Observation e4a81668-fa82-4fed-beae-7edf07694e2f · outbound

This paper cites Learning the Pareto Front with Hypernetworks.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Learning the Pareto Front with Hypernetworks

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:25.405606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:25.405606Z digest=sha256:c5a72cf5cd5ea957175b66e926dd655771a430a4adde0682a4d5962508bbe8e5

Observation e96dca66-16a4-4614-b230-48456b3333a2 · outbound

This paper cites Enhancing causal discovery in federated settings with limited local samples.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Enhancing causal discovery in federated settings with limited local samples

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:29.544355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.184581Z digest=sha256:038f11d8d31f3733de26383e2cddfb6160ce49ee79876b4dba19abc7eed7d2ab

Observation 0c323f2c-ef6e-4beb-b52d-1067371c7ef1 · outbound

This paper cites V oronoi- based estimation of distribution algorithm for multi- objective optimization.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning V oronoi- based estimation of distribution algorithm for multi- objective optimization

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:29.089560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:25.466789Z digest=sha256:1041c3bc0e623df36d2f59ab33b8dadea30a3619bae3d5b9df571ca8dac6e3b6

Observation 096e319b-ac00-4c8a-a526-96dd96b8fdfd · outbound

This paper cites doi: 10.1561/2200000083.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning doi: 10.1561/2200000083

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:25.242899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:25.242899Z digest=sha256:35a9230cf48756790725afa211c9bf18daac3a6ee9f7e1667dcf86c5b4882f43

Observation 1557ab04-9368-4a2b-b0af-32a737427dd2 · outbound

This paper cites Personalized Federated Learning via Learning Dynamic Graphs.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Personalized Federated Learning via Learning Dynamic Graphs

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:57:26.935430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:26.230192Z digest=sha256:d20f38d098fe1c1e0a65aaadb2182c789627e0472d262e32ae5cf851bc3c8b5f

Observation d1a8e501-c2f2-4967-bc9e-113c86d46f07 · outbound

This paper cites Exploiting shared representations for personalized feder- ated learning.

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Exploiting shared representations for personalized feder- ated learning

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:57:29.847683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:57:24.947964Z digest=sha256:5e519201763e9fa2db318ec55b6804de79b4c5c02e5b4934351e1fb7148e1aab

Pith citing papers

No inbound Pith citation observations are available.