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Paper Citation Record · LEDGER

Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04523.

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

pith.paper-citation-record.v1
2102.04523 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:25.043784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:16.365404Z

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 41deda46-3ea1-49a3-aa1b-d55560f86590 · inbound

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning cites this paper.

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 140c1f8f-b51f-49ae-aa91-9fea4d03065f · inbound

Everywhere Learning: Artificial Intelligence with Pointwise Constraints cites this paper.

Everywhere Learning: Artificial Intelligence with Pointwise Constraints Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:16.367020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T15:34:51.581338Z digest=sha256:38f4d5eb56d27ac820636c045dd810609f2edef43956ac1063903afd6bd0bb8a