Paper Citation Record · LEDGER

Learning the Pareto Front with Hypernetworks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.04104.

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

pith.paper-citation-record.v1
2010.04104 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:25.405606Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:56:29.848043Z

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 e4a81668-fa82-4fed-beae-7edf07694e2f · 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 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.

Observation bc8bbdc3-551e-4e59-b36a-babe76dd67d0 · inbound

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

Representation-Aligned Multi-Scale Personalization for Federated Learning Learning the Pareto Front with Hypernetworks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:01.595830Z

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.

Observation 317f4aca-3cf3-46f8-b368-d57f96910ec0 · inbound

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Learning the Pareto Front with Hypernetworks

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:29.849677Z

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.

Observation 28d6504d-1ed7-4acd-89c9-ede6342e156e · inbound

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization cites this paper.

Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization Learning the Pareto Front with Hypernetworks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.519258Z

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.