Paper Citation Record · LEDGER

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.14184.

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

pith.paper-citation-record.v1
2507.14184 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:05:39.017014Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69340fb7-0d2d-4581-adf1-ebda26435e88 · outbound

This paper cites The apnea-ecg database,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment The apnea-ecg database,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.308729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d66e2735-dbc0-464e-a2c6-68376c62e878 · outbound

This paper cites Longitudinal evaluation of sleep- disordered breathing and sleep symptoms with change in quality of life: the sleep heart health study (shhs),.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Longitudinal evaluation of sleep- disordered breathing and sleep symptoms with change in quality of life: the sleep heart health study (shhs),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.295435Z

Source-reported events for the cited work

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Observation 8269c4fa-cfab-4d2c-84fa-3a1a67508e6c · outbound

This paper cites Ptb-xl, a large publicly available electro- cardiography dataset,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Ptb-xl, a large publicly available electro- cardiography dataset,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.278895Z

Source-reported events for the cited work

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Observation 7a528529-9d3e-4ced-ad99-4653489e534c · outbound

This paper cites Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.448649Z

Source-reported events for the cited work

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Observation 05d2cf8b-974f-425d-8dc8-3c61202bbf57 · outbound

This paper cites Inceptiontime: Finding alexnet for time series classification,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Inceptiontime: Finding alexnet for time series classification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.271006Z

Source-reported events for the cited work

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Observation b627f360-7fca-48a6-8449-79b6aec91c1d · outbound

This paper cites Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.683233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde391de-245a-4491-8492-1622a2199e3c · outbound

This paper cites Hyperdimensional computing: An introduction to comput- ing in distributed representation with high-dimensional random vectors,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Hyperdimensional computing: An introduction to comput- ing in distributed representation with high-dimensional random vectors,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.259001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ef97a11-7335-4a2a-9c58-3354fd1034b8 · outbound

This paper cites A robust and energy- efficient classifier using brain-inspired hyperdimensional computing,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment A robust and energy- efficient classifier using brain-inspired hyperdimensional computing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.245499Z

Source-reported events for the cited work

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Observation e0bcb6ba-4d15-4aff-a176-1413bf5d7f28 · outbound

This paper cites Lehdc: Learning-based hyperdi- mensional computing classifier,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Lehdc: Learning-based hyperdi- mensional computing classifier,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.231096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0204616a-3023-482d-a93c-210b1bf59d68 · outbound

This paper cites V oicehd: Hyperdi- mensional computing for efficient speech recognition,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment V oicehd: Hyperdi- mensional computing for efficient speech recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.218433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f912a998-2106-4b44-b1d7-4ad0e26fa2f5 · outbound

This paper cites Gradient-based learning applied to document recognition,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Gradient-based learning applied to document recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.974842Z

Source-reported events for the cited work

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Observation a8406c6d-bd5c-4392-83b8-3b6dffb39fff · outbound

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

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.978385Z

Source-reported events for the cited work

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Observation 293f434e-7f42-4299-88f8-c0a2cedb55db · outbound

This paper cites Learning multiple layers of features from tiny images,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Learning multiple layers of features from tiny images,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:05:38.982481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b825af8c-b407-48e0-b0e1-8110f9ba8d77 · outbound

This paper cites Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:39.058739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fb47711-e488-412c-9294-2d7992898644 · outbound

This paper cites Efficient biosignal processing using hyperdimensional computing: Network templates for combined learning and classification of exg signals,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Efficient biosignal processing using hyperdimensional computing: Network templates for combined learning and classification of exg signals,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.189716Z

Source-reported events for the cited work

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Observation 727d7256-2fe9-4a0e-8c98-c3baeb986280 · outbound

This paper cites An emg gesture recognition system with flexible high-density sensors and brain-inspired high- dimensional computing,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment An emg gesture recognition system with flexible high-density sensors and brain-inspired high- dimensional computing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.178222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed1a4b53-17d5-484d-a6f2-73386d8ee199 · outbound

This paper cites Hyperdimensional brain-inspired learning for phoneme recognition with large-scale inferior colliculus neural activities,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Hyperdimensional brain-inspired learning for phoneme recognition with large-scale inferior colliculus neural activities,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.166934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 941a9369-9241-4c51-ae94-99da88dcf884 · outbound

This paper cites Hyperdimensional computing vs. neural networks: Comparing architecture and learning process,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Hyperdimensional computing vs. neural networks: Comparing architecture and learning process,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.153732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90efb730-ca7d-4d2c-9e67-4f7f96e17c8f · outbound

This paper cites Lightweight multi-task hyper- dimensional computing framework driven by binary neural network for sleep apnea detection,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Lightweight multi-task hyper- dimensional computing framework driven by binary neural network for sleep apnea detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.142225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae5fb9a0-74aa-4530-b609-9bc007018e2d · outbound

This paper cites Energy-efficient sleep apnea detection using a hyperdimen- sional computing framework based on wearable bracelet photoplethys- mography,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Energy-efficient sleep apnea detection using a hyperdimen- sional computing framework based on wearable bracelet photoplethys- mography,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.130877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37ca5672-7a23-4219-9bb9-cc26e26924d8 · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment Facenet: A unified embed- ding for face recognition and clustering,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.119887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6b192b4-ed54-4c29-8bcf-3d5faa7afa3c · outbound

This paper cites No fuss distance metric learning using proxies,.

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment No fuss distance metric learning using proxies,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:05:39.109246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.