Paper Citation Record · LEDGER

Controllable Pareto Multi-Task Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.06313.

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

pith.paper-citation-record.v1
2010.06313 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:56:22.403519Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:45:11.964961Z

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 df4872be-37b5-4cbb-a5ab-c90764f9a792 · inbound

Pareto Set Learning for Multi-Objective Reinforcement Learning cites this paper.

Pareto Set Learning for Multi-Objective Reinforcement Learning Controllable Pareto Multi-Task Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:22.403519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5e106ea-e8c4-4dc1-a50c-ef1edc5938f8 · inbound

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond cites this paper.

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Controllable Pareto Multi-Task Learning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T18:53:50.233857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624661a5-49d9-4a4e-95af-cf0450090b5e · inbound

CoAction: Cross-task Correlation-aware Pareto Set Learning cites this paper.

CoAction: Cross-task Correlation-aware Pareto Set Learning Controllable Pareto Multi-Task Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:26.424928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbb849d6-741a-4986-aa1e-834ee8e0813f · inbound

CoAction: Cross-task Correlation-aware Pareto Set Learning cites this paper.

CoAction: Cross-task Correlation-aware Pareto Set Learning Controllable Pareto Multi-Task Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:11.966459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.