Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.21117.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:19:42.281297Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:19:42.375595Z
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 8a61dff1-b95c-4949-bd17-4e3b739159d7 · inbound
The interplay of robustness and generalization in quantum machine learning cites this paper.
The interplay of robustness and generalization in quantum machine learning Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:19:42.381786Z
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.
Observation b1561bf9-d03d-412a-97ca-733b4f93a709 · inbound
Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning cites this paper.
Diagnosing Simulation and Hardware Barriers to Cross-Size Transfer in Equivariant Quantum Reinforcement Learning Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:39:18.441025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.