Paper Citation Record · LEDGER

Bayesian D-Optimal Experimental Designs via Column Subset Selection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.16000.

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

pith.paper-citation-record.v1
2402.16000 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:22.792888Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7de06820-ea9f-42d9-8d14-913e4e648852 · inbound

Optimal experimental design: Formulations and computations cites this paper.

Optimal experimental design: Formulations and computations Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:36.347038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 880d3075-6c9f-4a61-8327-530ef10a0fda · inbound

Structured Column Subset Selection for Bayesian Optimal Experimental Design cites this paper.

Structured Column Subset Selection for Bayesian Optimal Experimental Design Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:22.792888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e982d406-1ca2-4c3f-8f09-23583d473ffd · inbound

Many (most?) column subset selection criteria are NP hard for a few columns cites this paper.

Many (most?) column subset selection criteria are NP hard for a few columns Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:52:14.729288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e1e30e5-6378-46c4-9c18-b9bfaf813ec4 · inbound

Multifidelity sensor placement in Bayesian state estimation problems cites this paper.

Multifidelity sensor placement in Bayesian state estimation problems Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:45:26.935006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5d9ef5-9023-4e72-b510-7dd96cbb4d51 · inbound

Submodularity of the expected information gain in infinite-dimensional linear inverse problems cites this paper.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T03:08:28.763664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb9ba7d-9922-48dd-b422-d995d45f7841 · inbound

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design cites this paper.

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:20:58.186537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27bb2a97-4846-44cd-8571-2b9f6ef10d4c · inbound

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design cites this paper.

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T16:45:36.400985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5489b9e2-1e1a-4ebf-ac95-3b1e8d5b080b · inbound

Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space cites this paper.

Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:23:58.903781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.