Paper Citation Record · LEDGER

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.19740.

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

pith.paper-citation-record.v1
2505.19740 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:02.737280Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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 fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2ac06e6-40d8-4a4a-a2be-9deea760e13a · outbound

This paper cites Machine learning approaches for microorganism identification, virulence assessment, and antimicrobial susceptibility evaluation using dna sequencing methods: A systematic review.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Machine learning approaches for microorganism identification, virulence assessment, and antimicrobial susceptibility evaluation using dna sequencing methods: A systematic review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:05.560397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72c19210-4011-4bd8-9c97-92b5195e1173 · outbound

This paper cites Emerging applications of machine learning in genomic medicine and healthcare.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Emerging applications of machine learning in genomic medicine and healthcare

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:05.428813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cac5ad0c-c05f-48ac-b87a-78922193f898 · outbound

This paper cites Detecting risk gene and pathogenic brain region in emci using a novel gerf algorithm based on brain imaging and genetic data.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Detecting risk gene and pathogenic brain region in emci using a novel gerf algorithm based on brain imaging and genetic data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:05.345202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 91263bbb-1424-47fc-a547-4b2044a8d2f5 · outbound

This paper cites Research and implementation of cancer gene data classification based on deep learning.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Research and implementation of cancer gene data classification based on deep learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:05.226227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64e86815-334b-4cbc-ab89-aacb35957cf5 · outbound

This paper cites An ensemble technique using genetic algorithm and deep learning for the prediction of rice diseases.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data An ensemble technique using genetic algorithm and deep learning for the prediction of rice diseases

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:05.097854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bde3da38-ca64-4dc4-b6e3-158390987fc5 · outbound

This paper cites Stimulation of the production of prostaglandin e2 by ethyl gallate, a natural phenolic compound richly contained in longan.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Stimulation of the production of prostaglandin e2 by ethyl gallate, a natural phenolic compound richly contained in longan

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.896612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba5e0005-17b3-4d8c-a028-f0930b4ae0bf · outbound

This paper cites Ellagic acid, a plant phenolic compound, activates cyclooxygenase-mediated prostaglandin production.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Ellagic acid, a plant phenolic compound, activates cyclooxygenase-mediated prostaglandin production

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.742797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7d19fb4-5bd3-41ad-9402-787d48e3e1b0 · outbound

This paper cites Mechanism for the reactivation of the peroxidase activity of human cyclooxygenases: investigation using phenol as a reducing cosubstrate.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Mechanism for the reactivation of the peroxidase activity of human cyclooxygenases: investigation using phenol as a reducing cosubstrate

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.612500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b94793b2-88ad-4696-8d79-5cc1714acb3e · outbound

This paper cites Machine learning in drug discovery: a review.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Machine learning in drug discovery: a review

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.435102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c35d5c8-c399-431b-b892-a6847dbda48b · outbound

This paper cites Supervised machine learning classifies inflammatory bowel disease patients by subtype using whole exome sequencing data.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Supervised machine learning classifies inflammatory bowel disease patients by subtype using whole exome sequencing data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.235802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d731ea7c-1bf9-4480-90d2-afac5a52e850 · outbound

This paper cites FTS: A Framework to Find a Faithful TimeSieve.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data FTS: A Framework to Find a Faithful TimeSieve

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:02.077244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cbc777-1b3f-43ef-8592-1ad45b0a1d3a · outbound

This paper cites Invariant spatiotemporal representation learning for cross-patient seizure classification.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Invariant spatiotemporal representation learning for cross-patient seizure classification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.080682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9181035-5dce-4df3-a3a7-42eb3f512d28 · outbound

This paper cites Causal recommendation via machine unlearning with a few unbiased data.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Causal recommendation via machine unlearning with a few unbiased data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:04.005400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f7c6642-9567-4e2e-8127-1864e80f523b · outbound

This paper cites Biodeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding rna classification.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Biodeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding rna classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.916798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 51ce7d7c-643f-4802-855f-c388178df764 · outbound

This paper cites Machine learning-assisted surface- enhanced raman spectroscopy detection for environmental applications: a review.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Machine learning-assisted surface- enhanced raman spectroscopy detection for environmental applications: a review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.790481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31f82e65-38c1-40ed-aabc-9f756a319177 · outbound

This paper cites Harnessing deep learning for population genetic inference.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Harnessing deep learning for population genetic inference

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.644118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50d15ead-91ef-4407-a4b4-a2dd8a81ca19 · outbound

This paper cites Deep learning techniques in cancer prediction using genomic profiles.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Deep learning techniques in cancer prediction using genomic profiles

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.480923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efabdb78-6cb4-4afa-91f5-c56b76ebbf38 · outbound

This paper cites Machine learning for microbiologists.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Machine learning for microbiologists

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:02.559498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a936cb38-c3e8-4e3b-a395-71cfb0b0154c · outbound

This paper cites Predicting icu admissions for hospitalized covid-19 patients with a factor graph-based model.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Predicting icu admissions for hospitalized covid-19 patients with a factor graph-based model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.348386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10b5dbc1-0311-4775-86f1-fe56a2ee01b0 · outbound

This paper cites Cm-net: Concentric mask based arbitrary- shaped text detection.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Cm-net: Concentric mask based arbitrary- shaped text detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.201180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3386a8cb-f791-49b6-9016-3ca7c08a392e · outbound

This paper cites Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:11:02.890410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c877b400-fd80-4d39-8115-f7480f6dda0a · outbound

This paper cites Interpretable machine learning enhances disease prognosis: Applications on covid-19 and onward.

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data Interpretable machine learning enhances disease prognosis: Applications on covid-19 and onward

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:03.014137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.