Paper Citation Record · LEDGER

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.00589.

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

pith.paper-citation-record.v1
2509.00589 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:29:56.415146Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy21
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 757568c2-84e2-44af-9117-bc2bd6dc2ad0 · outbound

This paper cites an unresolved cited work.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:30:01.907370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f1ee5ca-276a-474c-9920-206b15211f36 · outbound

This paper cites an unresolved cited work.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:30:01.642447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca8a046c-6c85-40ca-91f0-cf2a16f6dedd · outbound

This paper cites Analysis of Single-Chip Hardware Support for Mobile and Embedded Applications,.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Analysis of Single-Chip Hardware Support for Mobile and Embedded Applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:01.380008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 557d72a8-736d-4877-a405-870c5345dc95 · outbound

This paper cites Analysis of Computation Models and Application Characteristics Suitable for Reconfigurable FPGAs.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Analysis of Computation Models and Application Characteristics Suitable for Reconfigurable FPGAs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:01.208618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d7c2889-f661-4212-b717-abb2e60c7718 · outbound

This paper cites Optimized Hardware Accelerators for Data Mining Applications on Embedded Platform: Case Study Principal Component Analysis,.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Optimized Hardware Accelerators for Data Mining Applications on Embedded Platform: Case Study Principal Component Analysis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:01.002990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7d28d0a-521a-4637-8957-085584d15007 · outbound

This paper cites Optimizing Density-Based Ant Colony Stream Clustering Using FPGA-Based Hardware Accelerator.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Optimizing Density-Based Ant Colony Stream Clustering Using FPGA-Based Hardware Accelerator

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:00.774995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14a8e9af-34b6-4e67-b796-336ec6ae6fb6 · outbound

This paper cites Towards Composing Efficient FPGA-Based Hardware Accelerators for Physics-Based Model Predictive Control Smart Sensor for HEV Battery Cell Management.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Towards Composing Efficient FPGA-Based Hardware Accelerators for Physics-Based Model Predictive Control Smart Sensor for HEV Battery Cell Management

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:00.489480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1301e650-84dd-4db9-966a-d21302e7c550 · outbound

This paper cites Composing Optimized Embedded Software Architectures for Physics-Based EKF-MPC Smart Sensor for Li-Ion Battery Cell Management.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Composing Optimized Embedded Software Architectures for Physics-Based EKF-MPC Smart Sensor for Li-Ion Battery Cell Management

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:00.291972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 126cb52f-fc73-4c75-a0ea-54519d66d269 · outbound

This paper cites Efficient FPGA-Based Reconfigurable Accelerators for SIMON Cryptographic Algorithm on Embedded Platforms.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Efficient FPGA-Based Reconfigurable Accelerators for SIMON Cryptographic Algorithm on Embedded Platforms

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:30:00.063691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9598f352-dd44-4116-a73a-1bb8fdfd1ec1 · outbound

This paper cites Towards Dynamic and Partial Reconfigurable Hardware Architectures for Cryptographic Algorithms on Embedded Devices.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Towards Dynamic and Partial Reconfigurable Hardware Architectures for Cryptographic Algorithms on Embedded Devices

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:59.813812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aa846026-43a3-4b03-8c39-b4783015a724 · outbound

This paper cites An FPGA-Based Hardware Accelerator for K-Nearest Neighbor Classification for Machine Learning on Mobile Devices.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core An FPGA-Based Hardware Accelerator for K-Nearest Neighbor Classification for Machine Learning on Mobile Devices

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:59.561950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56e8b7a5-96bb-4e1e-8954-5692b6de7347 · outbound

This paper cites FPGA-based Hardware Accelerator for Bottleneck Residual Blocks of MobileNetV2 Convolutional Neural Networks.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core FPGA-based Hardware Accelerator for Bottleneck Residual Blocks of MobileNetV2 Convolutional Neural Networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:59.369664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d6a69d1-c583-48b2-a2a5-d130c97a4fdc · outbound

This paper cites Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:59.156443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d56d9327-65df-42c7-a46d-c0959d52655e · outbound

This paper cites High-Level Synthesis Based FPGA Accelerator for GPS Signal Image Feature Extraction.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core High-Level Synthesis Based FPGA Accelerator for GPS Signal Image Feature Extraction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:58.902245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5381ad0-0e55-491d-863d-8ebb0fbf9951 · outbound

This paper cites Reconfigurable Architectures for Data Analytics on Next-Generation Edge-Computing Platforms.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Reconfigurable Architectures for Data Analytics on Next-Generation Edge-Computing Platforms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:55.113418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b2aa73-477e-4d26-bbeb-d22b4f0d8226 · outbound

This paper cites Composing Efficient Computational Models for Real -Time Processing on Next-Generation Edge-Computing Platforms.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Composing Efficient Computational Models for Real -Time Processing on Next-Generation Edge-Computing Platforms

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:58.698852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d138eaa-6b2e-47b1-962e-c7036e3a8b5e · outbound

This paper cites FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core FPGA-Based Hardware Architecture for Sequence Alignment by Genetic Algorithm

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:58.425688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 645aab43-ae26-485b-b618-5379dce482f6 · outbound

This paper cites Neuromorphic Sentiment Analysis Using Spiking Neural Networks.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Neuromorphic Sentiment Analysis Using Spiking Neural Networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:58.183915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09f22446-2335-4ead-8bb6-39cbac9e98e5 · outbound

This paper cites Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:55.560378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215599a9-cab3-4ff7-84e1-b3e8290d506d · outbound

This paper cites A Systolic Array Architecture for SVM Classifier for Machine Learning on Embedded Devices.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core A Systolic Array Architecture for SVM Classifier for Machine Learning on Embedded Devices

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:57.926501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1cdef9d1-33a3-4b93-8117-96d07eefc80a · outbound

This paper cites Parallel Computation of Similarity Measures Using an FPGA-Based Processor Array,.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Parallel Computation of Similarity Measures Using an FPGA-Based Processor Array,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:57.628835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84c19821-0da8-499b-9e2b-0b8607a7214a · outbound

This paper cites Discrepancy in Execution Time: Static Vs. Dynamic Reconfigurable Hardware.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Discrepancy in Execution Time: Static Vs. Dynamic Reconfigurable Hardware

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:57.475974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf205c88-70ba-41f1-b12b-a11eae7db159 · outbound

This paper cites FPGA-Based Reconfigurable Hardware for Compute Intensive Data Mining Applications.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core FPGA-Based Reconfigurable Hardware for Compute Intensive Data Mining Applications

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:57.314858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60188412-e2db-40ee-b1a6-2c27e6f0e662 · outbound

This paper cites HDL Code Variation: Impact on FPGA Performance Metrics and CAD Tools.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core HDL Code Variation: Impact on FPGA Performance Metrics and CAD Tools

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:57.071342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a33d860b-d8f2-47e6-8b1e-20336da0f043 · outbound

This paper cites Towards Composing Optimized Bi-Directional Multi-Ported Memories for Next-Generation FPGAs.

Real-Time Piano Note Frequency Detection Using FPGA and FFT Core Towards Composing Optimized Bi-Directional Multi-Ported Memories for Next-Generation FPGAs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:56.902782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.