Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.06559.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:13:28.572004Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:52:26.402244Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 53f9e62d-33a4-4b32-9cc9-f45023c174c5 · inbound
User-item fairness tradeoffs in recommendations Recommending to Strategic Users
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4891fa42-8d33-4444-a58e-13145fabc236 · inbound
Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content Recommending to Strategic Users
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cddbceb-9b02-4f11-99fd-1a55de733bfb · inbound
Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap Recommending to Strategic Users
Reference 15
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 c5628547-f561-4821-a6dd-36acd1f4bf9f · inbound
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Recommending to Strategic Users
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e18799f8-6ab0-44f7-9e35-6f87a1ae30ac · inbound
Reactive Users vs. Social Recommender Systems: Managing Opinion Drifts with Adaptive Policies Recommending to Strategic Users
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09608c31-d500-488f-80be-72dcfca373e0 · inbound
Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning Recommending to Strategic Users
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.