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Paper Citation Record · LEDGER

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.06633.

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

pith.paper-citation-record.v1
2506.06633 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:54.880752Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14b4bd2d-9c86-4712-837c-774e4e2698a5 · outbound

This paper cites Intraoperative detection of surgical gauze using deep convolutional neural network.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Intraoperative detection of surgical gauze using deep convolutional neural network

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.150058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.823022Z digest=sha256:65631900c41383b12d2141bb1826ff4979f96df03179a85ca186216a2c04e79c

Observation ae3ad6cd-864b-4e25-a946-64a8cf8301fc · outbound

This paper cites Improving fine-grained food classification using deep residual learning and selective state space models.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Improving fine-grained food classification using deep residual learning and selective state space models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.140239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.827390Z digest=sha256:fc60d01838109b95952db07e8a4577856d8a6ca2b0d5b05096a4a9573aa03c6a

Observation dce212d2-44f8-4687-8dcd-dad25e62d65b · outbound

This paper cites Food classification for dietary support using fine-grained visual recognition with the herbs network.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Food classification for dietary support using fine-grained visual recognition with the herbs network

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.130086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.831004Z digest=sha256:f9ed4f48d1d3d5b56465d1f77ab00c73e40547a6af748063c0f8ce7ccc06ab4f

Observation 6df34241-3ae3-4059-b3a6-89028c653883 · outbound

This paper cites NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.834664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.834664Z digest=sha256:3295ec90c8e494be573377c102c2603cdfcd7ac84439cd442096e7a7bc65041c

Observation 555cc4ef-a74d-4318-abca-fd9cd223b099 · outbound

This paper cites Attention is all you need.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Attention is all you need

Reference 5

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unresolved
no resolver link, observed 2026-08-07T05:56:54.838685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.838685Z digest=sha256:55b10478c6fc16bf67026707873a87e43d72ffd0afe0ee4d94f6ec52dc8c7fa0

Observation a196bb22-ee5b-4fea-b293-100201d947c3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.842291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.842291Z digest=sha256:56fff9327c53bf77563568812fcfb21333e274303072a2b9e3096e371c73a138

Observation c60b6135-7682-4d8c-8a8e-6466ce2b217f · outbound

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

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification RWKV: Reinventing RNNs for the Transformer Era

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.846128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.846128Z digest=sha256:c2b4ad2e2bf5209f69ff41ef6da6bf8d941b10dad01f9f9ca1351b333df8c477

Observation 49e20008-b38c-43fb-97eb-c4b348ee8657 · outbound

This paper cites Quantum machine learning.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Quantum machine learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.849582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.849582Z digest=sha256:02b4ae03b7814ece5d8bb2270589ba8b0f2d3cc777a65d8f865794f6d11211ff

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

This paper cites Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.852953Z digest=sha256:8ce6b1d2582231309eef598c954af80f88099b9becfc355a058e2d2dc1865e3f

Observation 8ff0628c-65f6-4d16-be0f-0acd2d3d9890 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.856723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.856723Z digest=sha256:9297eeef76f79bc6bad3b6446061b6b6b86d34728d95e98f451466d443cb0e87

Observation 282a607d-c977-42dc-a99b-eb8137d48097 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.103042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.860106Z digest=sha256:59fc1d745cf043f407d845f93a4514e6358d50acf8f85b88fe8a5fab56fd8486

Observation d19c169e-eeb2-4853-94d4-ce157cceccea · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.863522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.863522Z digest=sha256:5bf5a01081bdc97cf804c0b3917d9055da3c98f994af9e11a222a2654dbeb0a8

Observation bf66ca76-bd92-4887-8d71-974166cab625 · outbound

This paper cites Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.092922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.867128Z digest=sha256:0cef6fbd640273efde8118c2f3c8a26c1f59cfd878d406fc423a0292176b007b

Observation 67204368-7f7c-424c-abf7-cedbece4d82e · outbound

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

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Quantum Adaptive Self-Attention for Quantum Transformer Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.870414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.870414Z digest=sha256:948b04fd2e049a767559a16489ed0c0951bd0fb803fd1d8cc51e3d1e2e6fa681

Observation 09652d07-0f0f-4872-b8fe-76bb04863801 · outbound

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

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Qeegnet: Quantum machine learning for enhanced electroencephalography encoding

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.082711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.873950Z digest=sha256:2a7b91d2babcf1737cdc16c9ad741134cdeafce5f56c7e60e69ac2bf5d8d1d6d

Observation 932e4a7b-1d30-4643-a66b-08b99b11bac0 · outbound

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

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:54.877192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:54.877192Z digest=sha256:296f193d715ea0732b1f0d4abf924a66268989ea2e05dcb8eb70925b2a54d256

Observation b2902f07-4f33-457c-9f97-c1f3e98c4908 · outbound

This paper cites A survey of nisq era hybrid quantum-classical machine learning research.

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification A survey of nisq era hybrid quantum-classical machine learning research

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:56:55.072556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:56:54.880752Z digest=sha256:02f48c0de705af0767296f611e90fc008aacbe588830f6007c824020dff82135

Pith citing papers

No inbound Pith citation observations are available.