Paper Citation Record · LEDGER

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.16815.

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

pith.paper-citation-record.v1
2501.16815 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:37:32.664081Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy29
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0259d9fc-a17b-42ac-b65d-711d49cd9f32 · outbound

This paper cites A determinantal point process for column subset selection.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination A determinantal point process for column subset selection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.403155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc4b4e53-145b-481b-a862-7b2fdd624ca7 · outbound

This paper cites and Davies, M.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Davies, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.385211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c69abef-c247-424c-b182-ae149c52372e · outbound

This paper cites and Davies, M.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Davies, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.369851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 912a53dd-18c6-41fa-a0dd-673db3222918 · outbound

This paper cites S., Donoho, D.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination S., Donoho, D

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.354763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8999d1b9-2c81-41cc-bc04-1e782735ddb3 · outbound

This paper cites and Kempe, D.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Kempe, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.337746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ce96b09-8f4b-4109-914d-1ffe14ed224f · outbound

This paper cites and Kempe, D.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Kempe, D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.314262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1bd7886-df2b-42e0-bdfa-28f5e054024a · outbound

This paper cites Adaptive greedy approximations.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Adaptive greedy approximations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.294976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 47b1e60e-91a2-441b-b208-a4b6cb334c15 · outbound

This paper cites an unresolved cited work.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T10:37:33.277136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b302d368-5fb4-46ce-9ff4-bc60dc7a9414 · outbound

This paper cites and Brodley, C.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Brodley, C

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.257697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f13a764e-bd6f-4c8c-b93d-468a3784c424 · outbound

This paper cites Least angle regression.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Least angle regression

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.238849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df4278da-7974-467a-bb5a-5da4590d5194 · outbound

This paper cites and Li, R.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Li, R

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.496132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1629cef4-4b71-4654-8db9-6cf6f72446d8 · outbound

This paper cites A threshold of ln n for approximating set cover.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination A threshold of ln n for approximating set cover

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.201593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 707ff1f0-e7e1-43e0-be3b-8b0d990fb350 · outbound

This paper cites Hard thresholding pursuit: An algorithm for compressive sensing.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Hard thresholding pursuit: An algorithm for compressive sensing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.184666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e39cb41f-d9e1-4054-9d02-8a7751f84a8b · outbound

This paper cites F., Ellis, D.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination F., Ellis, D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.167754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d1f0786-6081-4677-8e1c-163e6f295b81 · outbound

This paper cites Superconductivty Data.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Superconductivty Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.519980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcce105-bc9c-468f-87ad-f56bd3e8f805 · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, 2017.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination The elements of statistical learning: data mining, inference, and prediction, 2017

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.524972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e13bf5-2f44-42a8-abca-e664b96cab42 · outbound

This paper cites and Mazumder, R.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Mazumder, R

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.140192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f776fcc-1053-4924-801d-7aae5f72456a · outbound

This paper cites Learning with structured sparsity.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Learning with structured sparsity

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.123644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 597da175-dbdb-4bff-9728-6a4d5f5b62a4 · outbound

This paper cites and John, G.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and John, G

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.107119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f80e9c6-632c-42c2-b44c-b519c3ce9164 · outbound

This paper cites and Pan, W.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Pan, W

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.089585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc726de3-e346-48f6-b3f6-3ef712dc6fc7 · outbound

This paper cites an unresolved cited work.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T10:37:33.069913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea74e519-eb5f-478f-afca-dc725a658e97 · outbound

This paper cites Newtonized orthogonal matching pursuit: Frequency estimation over the continuum.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Newtonized orthogonal matching pursuit: Frequency estimation over the continuum

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.051436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1eb0e486-765d-481d-abeb-7427bcccbe1b · outbound

This paper cites Subset selection in regression.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Subset selection in regression

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.036178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4853cd54-c677-4b26-a3dc-987ae096f3b4 · outbound

This paper cites and Tropp, J.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination and Tropp, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.020188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d67f353f-2103-4b55-80fc-7901b8144d0b · outbound

This paper cites C., Rezaiifar, R., and Krishnaprasad, P.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination C., Rezaiifar, R., and Krishnaprasad, P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:33.004026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e9490b6-9e1e-4577-bfeb-a4d79c6cde23 · outbound

This paper cites Scikit-learn: Machine learning in P ython.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Scikit-learn: Machine learning in P ython

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.574291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc276e7-f240-4452-9b19-50a23be599df · outbound

This paper cites Subset selection by pareto optimization.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Subset selection by pareto optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.975407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4ef0e66-d93e-4c02-a1ee-0ee77d65ecb8 · outbound

This paper cites Subset selection under noise.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Subset selection under noise

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.959162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5a3044c-5d9d-4d96-8384-767230eeafe8 · outbound

This paper cites Statistics and Machine Learning Toolbox, 2025.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Statistics and Machine Learning Toolbox, 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.940521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09060b3f-9503-40fc-af10-bde616fde6be · outbound

This paper cites Regression shrinkage and selection via the lasso.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Regression shrinkage and selection via the lasso

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.593422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 017c388c-cc35-4803-8f38-45ead7725557 · outbound

This paper cites Revisiting matching pursuit: Beyond approximate submodularity.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Revisiting matching pursuit: Beyond approximate submodularity

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.909012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f6de3546-e4a3-4c39-a100-e6d4a3b782a5 · outbound

This paper cites an unresolved cited work.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T10:37:32.888033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12d9d1e5-c744-49e8-9b75-d92df6da4499 · outbound

This paper cites OpenML Dataset 574: House 16H , 2014.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination OpenML Dataset 574: House 16H , 2014

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.869362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e0273945-7a8e-44f9-9e4b-474c4a3e9f98 · outbound

This paper cites A Survey on Data Selection for LLM Instruction Tuning.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination A Survey on Data Selection for LLM Instruction Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.617303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58caaf33-f279-4dfc-84ee-f7034cf8f89c · outbound

This paper cites Submodularity in data subset selection and active learning.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Submodularity in data subset selection and active learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.853317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5160c311-3a93-449d-b16a-fb69713df2a1 · outbound

This paper cites Nearly unbiased variable selection under minimax concave penalty.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Nearly unbiased variable selection under minimax concave penalty

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.836388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02b49913-2144-4e34-80be-9a3c5885669e · outbound

This paper cites A polynomial algorithm for best-subset selection problem.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination A polynomial algorithm for best-subset selection problem

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.819060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbd9a9b2-9efc-4676-9258-2f04ed204f76 · outbound

This paper cites abess: A fast best-subset selection library in python and R.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination abess: A fast best-subset selection library in python and R

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T10:37:32.800340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06ce5c1f-c4c7-432c-b340-dbcdbbb3a2e1 · outbound

This paper cites The adaptive lasso and its oracle properties.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination The adaptive lasso and its oracle properties

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.657436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1999af92-6b2b-4851-9b2e-74dfac7b682d · outbound

This paper cites write newline.

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T10:37:32.664081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.