Paper Citation Record · LEDGER

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 4 inbound Pith citation observations for arXiv:2505.13524.

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

pith.paper-citation-record.v1
2505.13524 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:43:29.523222Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:54.852953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.826044Z

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy14
unresolved16
parse uncertain0
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metadata mismatch1

External citation measurements

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Outbound references

Observation 987c9cd7-b281-475b-9468-2cf656b5c3d2 · outbound

This paper cites Improving fine-grained food classification using deep residual learning and selective state space models.PloS one, 20(5): e0322695, 2025.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Improving fine-grained food classification using deep residual learning and selective state space models.PloS one, 20(5): e0322695, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.892911Z

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 9dace23a-f220-4528-a5ab-739819fb5a8e · outbound

This paper cites Quantum Multimodal Contrastive Learning Framework.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum Multimodal Contrastive Learning Framework

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.788905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535367c3-f8fe-4b04-a75d-e70c42dda2c6 · outbound

This paper cites Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:29.912094Z

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 d8b66657-417c-4cef-a516-d13b48bf121d · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.800824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d799c6-0264-4af7-895a-4dd82f56772f · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting RWKV: Reinventing RNNs for the Transformer Era

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.806364Z

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Observation bf123e34-8db2-4805-a2a9-a96f3d1ca95f · outbound

This paper cites Quantum machine learning.Nature, 549(7671):195–202, 2017.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum machine learning.Nature, 549(7671):195–202, 2017

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.811690Z

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Unavailable: canonical work link unavailable.

Observation d8af0ce1-8195-4521-a2ab-680d403c016c · outbound

This paper cites A logical calculus of the ideas immanent in nervous activity.The bulletin of mathematical biophysics, 5:115–133, 1943.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting A logical calculus of the ideas immanent in nervous activity.The bulletin of mathematical biophysics, 5:115–133, 1943

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.817806Z

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Observation 9d92654e-a4ec-45f4-86dc-2c9b5625e4df · outbound

This paper cites Introduction to pytorch.Deep learning with python: learn best practices of deep learning models with PyTorch, pages 27–91, 2021.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Introduction to pytorch.Deep learning with python: learn best practices of deep learning models with PyTorch, pages 27–91, 2021

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.857302Z

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 a916975b-8bf7-440c-af2f-71d862a21d38 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:28.985175Z

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Observation 81ca86e7-acac-45c7-8a92-4f4683a03a1e · outbound

This paper cites Arma models and the box–jenkins methodology.Journal of forecasting, 16(3):147–163, 1997.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Arma models and the box–jenkins methodology.Journal of forecasting, 16(3):147–163, 1997

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.844319Z

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 c9c1b4b3-2151-4cd7-a905-b54c6f9c9a5c · outbound

This paper cites Chaos and the dynamics of biological populations.Proceedings of the Royal Society of London.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Chaos and the dynamics of biological populations.Proceedings of the Royal Society of London

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.762608Z

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Observation 0dc87e55-f358-4a80-b538-a18ac4024c58 · outbound

This paper cites Rethinking Attention with Performers.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Rethinking Attention with Performers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.000139Z

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Observation dc8dc245-500e-4baf-be43-b62cbc2c1c0a · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Linformer: Self-Attention with Linear Complexity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.005052Z

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Observation f3efd6ac-9faa-4318-bb42-5e1ffa4a8fad · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.087610Z

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Observation a1c56b95-ef39-4521-809b-0dfb7e5c842d · outbound

This paper cites Quantum long short-term memory.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum long short-term memory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.656007Z

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 c0f3c3a7-06fd-4495-a3b0-a191a38193f9 · outbound

This paper cites Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces.Physical Review Letters, 127(9):090506, 2021.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces.Physical Review Letters, 127(9):090506, 2021

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.642212Z

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 c60e038c-78da-45cd-8637-95a2d898b08c · outbound

This paper cites Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.222303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b894913-eda5-4972-961d-36d87d0c1aef · outbound

This paper cites An end-to-end trainable hybrid classical-quantum classifier.Machine Learning: Science and Technology, 2(4):045021, 2021.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting An end-to-end trainable hybrid classical-quantum classifier.Machine Learning: Science and Technology, 2(4):045021, 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.628965Z

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 64bb3b8a-d294-44a7-a408-780798ea08fb · outbound

This paper cites Quantum generative adversarial network for generating discrete distribution.Information Sciences, 538:193–208, 2020.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum generative adversarial network for generating discrete distribution.Information Sciences, 538:193–208, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.549221Z

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 0418c701-c65e-4abf-a1be-61020af002ee · outbound

This paper cites Qeegnet: Quantum machine learning for enhanced electroencephalography encoding.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Qeegnet: Quantum machine learning for enhanced electroencephalography encoding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.420442Z

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 614f0e54-9ca8-49bf-9fe7-ab1cba545af4 · outbound

This paper cites Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.240165Z

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Observation 4b1159fa-312f-435a-b4f8-b6d2c4171903 · outbound

This paper cites Quantum Adaptive Self-Attention for Quantum Transformer Models.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum Adaptive Self-Attention for Quantum Transformer Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.289361Z

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Unavailable: canonical work link unavailable.

Observation 7e32d344-b758-4579-b835-635201a1f89c · outbound

This paper cites Quantum recurrent neural networks for sequential learning.Neural Networks, 166: 148–161, 2023.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum recurrent neural networks for sequential learning.Neural Networks, 166: 148–161, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.407912Z

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 ae09e2fb-e7bb-44a1-8e74-ed2f120130df · outbound

This paper cites Quantum reservoir computing with a single nonlinear oscillator.Physical Review Research, 3(1):013077, 2021.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Quantum reservoir computing with a single nonlinear oscillator.Physical Review Research, 3(1):013077, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.394566Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3667e005-53bd-4eba-b99d-d4d78c141734 · outbound

This paper cites Springer, 2019.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Springer, 2019

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.238748Z

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 5f09d0aa-a822-4a21-b8ff-2f4f66c3422b · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces.Nature, 567(7747):209–212, 2019.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Supervised learning with quantum-enhanced feature spaces.Nature, 567(7747):209–212, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.418658Z

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Unavailable: canonical work link unavailable.

Observation ccf1bfc7-7258-41ae-b22e-a5941e303a25 · outbound

This paper cites Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.423074Z

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Unavailable: canonical work link unavailable.

Observation 7509b732-db02-45b6-92fb-05f2c547393a · outbound

This paper cites Circuit-centric quantum classifiers.Physical Review A, 101(3):032308, 2020.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Circuit-centric quantum classifiers.Physical Review A, 101(3):032308, 2020

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.428984Z

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Unavailable: canonical work link unavailable.

Observation ee2b7b8a-92d2-402f-8f6d-748ae73cbd6c · outbound

This paper cites Cost function dependent barren plateaus in shallow parametrized quantum circuits.Nature Communications, 12(1):1791, 2021.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Cost function dependent barren plateaus in shallow parametrized quantum circuits.Nature Communications, 12(1):1791, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:30.090310Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3290d692-0170-4e29-8776-bbdab00d28ae · outbound

This paper cites Understanding deep neural networks with rectified linear units.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Understanding deep neural networks with rectified linear units

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:29.981096Z

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 e501b4d9-9414-421e-8f1e-1bcd65f63916 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.Nature Communications, 9(1):4812, 2018.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Barren plateaus in quantum neural network training landscapes.Nature Communications, 9(1):4812, 2018

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:29.445894Z

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Observation 0cfa27dc-f729-400b-9cb4-a92cbd127394 · outbound

This paper cites Semilinear elliptic Schr\"odinger equations with singular potentials and absorption terms.

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting Semilinear elliptic Schr\"odinger equations with singular potentials and absorption terms

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:43:29.631399Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 930fa71e-8d14-460a-a2b9-2a51aff6b72e · inbound

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification cites this paper.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:54.852953Z

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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

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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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.