Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.13524.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:23:41.474934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T11:09:46.826044Z
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 36c8c6c8-7889-4018-bd4d-d6c480167ee6 · inbound
Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures cites this paper.
Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:23:41.474934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation babc5615-3d1f-436e-a86c-3b04941b7948 · inbound
Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning cites this paper.
Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T11:09:46.827653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58378686-ffa7-4245-be57-f4850d737816 · inbound
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting cites this paper.
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:13:53.286040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.