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Paper Citation Record · LEDGER

An Empirical Study of Feature Selection Granularity

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.24145.

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

pith.paper-citation-record.v1
2607.24145 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:38:32.674174Z

measured 28 of 28 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

28 of 28 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f692e0c1-21ee-423f-8a1b-018a87d8ad58 · outbound

This paper cites Bioinformatics26(10), 1340–1347 (2010).

An Empirical Study of Feature Selection Granularity Bioinformatics26(10), 1340–1347 (2010)

Reference 1

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Observation 7c7c2fa2-dc7b-4675-b86b-5902490fad07 · outbound

This paper cites IEEE Trans.

An Empirical Study of Feature Selection Granularity IEEE Trans

Reference 2

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source=pdf_text observed=2026-07-31T22:38:32.567317Z digest=sha256:19b1a80882dcb82919f68e0dcbf65da2bc5cb49e17614722e9a41f9b6a7143ff

Observation 60074638-389f-4d68-a4d6-281446874041 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Feature Selection Granularity Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-31T22:38:32.571678Z digest=sha256:5ec5d4e4d4222bcb9491aa1cb753c673afdaf52ac866cfdb5a0ca4f7f432f7e4

Observation 80f3ef43-9eee-452c-a70b-67fc98cb2643 · outbound

This paper cites Journal of AI and Data Mining9(1), 31–38 (2021).https: //doi.org/10.22044/jadm.2020.9376.2072.

An Empirical Study of Feature Selection Granularity Journal of AI and Data Mining9(1), 31–38 (2021).https: //doi.org/10.22044/jadm.2020.9376.2072

Reference 4

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Observation c60f55ab-9349-4203-b1a6-8d05d615782e · outbound

This paper cites nearest neighbor.

An Empirical Study of Feature Selection Granularity nearest neighbor

Reference 5

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Observation bd2fd945-0b2a-45f8-bd56-4f97882d6d31 · outbound

This paper cites Machine learning45, 5–32 (2001).

An Empirical Study of Feature Selection Granularity Machine learning45, 5–32 (2001)

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 6976012c-f9cc-4781-a47d-fa107f69a13b · outbound

This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

An Empirical Study of Feature Selection Granularity In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 7

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Observation 0407bdfd-5c41-4b59-b703-400b3fdf51df · outbound

This paper cites JMLR7, 1–30 (2006).

An Empirical Study of Feature Selection Granularity JMLR7, 1–30 (2006)

Reference 8

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Observation fc97f3ce-1b67-414c-a52b-827841bfd1c7 · outbound

This paper cites In: 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018.

An Empirical Study of Feature Selection Granularity In: 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018

Reference 9

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Observation 3dde986a-f052-4af4-ad6a-b362c02e3f8d · outbound

This paper cites IEEE Trans.

An Empirical Study of Feature Selection Granularity IEEE Trans

Reference 10

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Observation 6707fc65-cdf5-41e5-87b9-d5e9a34c47e4 · outbound

This paper cites Journal of machine learning research3(Mar), 1157–1182 (2003).

An Empirical Study of Feature Selection Granularity Journal of machine learning research3(Mar), 1157–1182 (2003)

Reference 11

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Observation a5e7d93a-92d0-4309-9a8a-d3006fe1a982 · outbound

This paper cites Machine learning46, 389–422 (2002) 16 M.

An Empirical Study of Feature Selection Granularity Machine learning46, 389–422 (2002) 16 M

Reference 12

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Observation 8d3f942a-3b2e-4d15-af0c-b184a6db9d22 · outbound

This paper cites Artificial In- telligence97(1-2), 273–324 (1997).https://doi.org/10.1016/S0004-3702(97) 00043-X,https://doi.org/10.1016/S0004-3702(97)00043-X.

An Empirical Study of Feature Selection Granularity Artificial In- telligence97(1-2), 273–324 (1997).https://doi.org/10.1016/S0004-3702(97) 00043-X,https://doi.org/10.1016/S0004-3702(97)00043-X

Reference 13

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

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Observation c5d48af2-4745-479d-bbc1-61e8d2e069b4 · outbound

This paper cites In: Euro- pean conference on machine learning.

An Empirical Study of Feature Selection Granularity In: Euro- pean conference on machine learning

Reference 14

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Observation 97f757ad-b4ed-49df-93c1-ec28c7ae57e2 · outbound

This paper cites Phys- ical review E69(6), 066138 (2004).

An Empirical Study of Feature Selection Granularity Phys- ical review E69(6), 066138 (2004)

Reference 15

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Observation 1c2b6263-c661-401b-a48e-7de9b2c4742b · outbound

This paper cites ACM computing surveys (CSUR)50(6), 1–45 (2017).

An Empirical Study of Feature Selection Granularity ACM computing surveys (CSUR)50(6), 1–45 (2017)

Reference 16

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Observation 3afc4ec0-e513-479b-b78b-7a9f6a25b95b · outbound

This paper cites Journal of Machine Learning Research9(86), 2579–2605 (2008),https://www.jmlr.org/papers/v9/ vandermaaten08a.html.

An Empirical Study of Feature Selection Granularity Journal of Machine Learning Research9(86), 2579–2605 (2008),https://www.jmlr.org/papers/v9/ vandermaaten08a.html

Reference 17

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Observation ee052873-7284-40f5-bc1b-76c7ea12705f · outbound

This paper cites an unresolved cited work.

An Empirical Study of Feature Selection Granularity Unresolved cited work

Reference 18

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Observation 58210657-a68f-46b7-8c7c-92a64a8d81a0 · outbound

This paper cites In: SISAP.

An Empirical Study of Feature Selection Granularity In: SISAP

Reference 19

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Observation 41ebde44-6906-456a-815d-f6353492f38e · outbound

This paper cites BioData Mining10(36), 1–13 (Dec 2017).

An Empirical Study of Feature Selection Granularity BioData Mining10(36), 1–13 (Dec 2017)

Reference 20

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Observation 2fe271d5-c347-4838-929f-248153fcd3cb · outbound

This paper cites In: Pro- ceedings of the 2025 SIAM International Conference on Data Mining (SDM).

An Empirical Study of Feature Selection Granularity In: Pro- ceedings of the 2025 SIAM International Conference on Data Mining (SDM)

Reference 21

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

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Observation ff93456e-30da-4611-acd2-b9b19c2830fa · outbound

This paper cites In: Similarity Search and Applications.

An Empirical Study of Feature Selection Granularity In: Similarity Search and Applications

Reference 22

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This paper cites In: Similarity Search and Applications - 17th In- ternational Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024, Proceedings.

An Empirical Study of Feature Selection Granularity In: Similarity Search and Applications - 17th In- ternational Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024, Proceedings

Reference 23

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Source-reported events for the cited work

correction dated 2025-04-02. Source: crossref record 10.1007/978-3-031-75823-2_26->10.1007/978-3-031-75823-2_6:correction, observed 2026-07-11T03:00:13.612768+00:00. This notice travels one citation hop only.

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Observation 8c6c4ee6-ad6b-453a-9a3a-bd0dcfe14b77 · outbound

This paper cites MARS: Magnitude-Aware Rank Statistics.

An Empirical Study of Feature Selection Granularity MARS: Magnitude-Aware Rank Statistics

Reference 24

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local_arxiv, observed 2026-07-31T22:41:23.046357Z

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

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Observation 0a9593e4-21ec-43d3-beb1-9725944203d0 · outbound

This paper cites Randomized PCA Forest for Unsupervised Outlier Detection.

An Empirical Study of Feature Selection Granularity Randomized PCA Forest for Unsupervised Outlier Detection

Reference 25

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local_arxiv, observed 2026-07-31T22:41:22.908619Z

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

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Observation 4fc8156b-a378-4c2d-840e-9a36dbe786e9 · outbound

This paper cites Expert Systems with Applications 281, 126254 (2025).https://doi.org/https://doi.org/10.1016/j.eswa.2024.

An Empirical Study of Feature Selection Granularity Expert Systems with Applications 281, 126254 (2025).https://doi.org/https://doi.org/10.1016/j.eswa.2024

Reference 26

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

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Observation e36d7501-c188-4327-a027-8694fbb44347 · outbound

This paper cites FSEVAL: Feature Selection Evaluation Toolbox and Dashboard.

An Empirical Study of Feature Selection Granularity FSEVAL: Feature Selection Evaluation Toolbox and Dashboard

Reference 27

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local_arxiv, observed 2026-07-31T22:41:22.634189Z

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

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Observation 919c0347-7e94-4aa1-b111-0cb5272d384b · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological)58(1), 267–288 (1996).

An Empirical Study of Feature Selection Granularity Journal of the Royal Statistical Society: Series B (Methodological)58(1), 267–288 (1996)

Reference 28

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Pith citing papers

No inbound Pith citation observations are available.