Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:18.638132Z
Paper Citation Record · LEDGER
Comment on "Provably Trainable Rotationally Equivariant Quantum Machine Learning"
As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2504.16950.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 955d3b91-230f-400c-afcf-4da34922344b · outbound
This paper cites an unresolved cited work.
Comment on "Provably Trainable Rotationally Equivariant Quantum Machine Learning" Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:18:18.710373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4292dea6-510f-4490-8a4a-9c60cb264111 · outbound
This paper cites A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits.
Comment on "Provably Trainable Rotationally Equivariant Quantum Machine Learning" A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:18:18.632113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3d464a3-0851-4227-8287-1f78fcac2573 · outbound
This paper cites The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze.
Comment on "Provably Trainable Rotationally Equivariant Quantum Machine Learning" The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:18:18.638132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.