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Paper Citation Record · LEDGER

Strong Formulations and Algorithms for Regularized A-optimal Design

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2505.14957.

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

pith.paper-citation-record.v1
2505.14957 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:22.790234Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T00:42:08.061342Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:47:43.637630Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy46
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afd91272-d2c3-4747-a960-fdf76b2034c3 · outbound

This paper cites Statistics and Computing 31(5):65.

Strong Formulations and Algorithms for Regularized A-optimal Design Statistics and Computing 31(5):65

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:36.735647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 419656ba-0f1c-42fd-afd5-bcdd0cbccebf · outbound

This paper cites Statistics and Computing 25:1113--1127.

Strong Formulations and Algorithms for Regularized A-optimal Design Statistics and Computing 25:1113--1127

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:36.406275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 184a8c9f-3d8e-415a-af7a-5771fa5655f2 · outbound

This paper cites International Conference on Machine Learning, 126--135 (PMLR).

Strong Formulations and Algorithms for Regularized A-optimal Design International Conference on Machine Learning, 126--135 (PMLR)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:36.111800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 613f4eac-3af8-41f7-bb64-b13cffd8a7af · outbound

This paper cites Proceedings of the 24th international conference on world wide web, 45--54.

Strong Formulations and Algorithms for Regularized A-optimal Design Proceedings of the 24th international conference on world wide web, 45--54

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:35.901334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 98d7e58e-92a6-43e3-b7d1-5854f32f8e4d · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications 34(4):1464--1499.

Strong Formulations and Algorithms for Regularized A-optimal Design SIAM Journal on Matrix Analysis and Applications 34(4):1464--1499

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:35.723309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.132190Z digest=sha256:a9374873b1c3ebbb76d14dcbf8f23d6cb6569fcf762b859fd45491876a7a738e

Observation e65c69a2-18f0-46c5-a6f3-d24246fe8666 · outbound

This paper cites (2015) Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design.

Strong Formulations and Algorithms for Regularized A-optimal Design (2015) Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:35.547439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.255911Z digest=sha256:14f8cf0546911fad773a8593602a2208e68dab4688a3ed5ceffaf4344f7f8bee

Observation fa71e774-e072-4bb2-8372-a1c6b9a5180f · outbound

This paper cites Statistical Science 35(4):623--624.

Strong Formulations and Algorithms for Regularized A-optimal Design Statistical Science 35(4):623--624

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:35.331537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.416750Z digest=sha256:47ca4625ddbff380976291146aeae0b47144e163cb3f89382808c38f9102657d

Observation ccb8ba89-4525-4393-9cb0-dc1db64d6031 · outbound

This paper cites International conference on machine learning, 498--507 (PMLR).

Strong Formulations and Algorithms for Regularized A-optimal Design International conference on machine learning, 498--507 (PMLR)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:35.050469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.531844Z digest=sha256:721f1b17ca9f3e91a3a78f1e200fa164f0f764a2021fb7257606b2a4f4360b70

Observation 919a8db4-04af-4b37-b512-16bbc086e53c · outbound

This paper cites http://www.

Strong Formulations and Algorithms for Regularized A-optimal Design http://www

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:34.752230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.727478Z digest=sha256:97974fa15567a2cb886e1948b79fb12665aa3a35dae26b71fdc0886f125ba82f

Observation a1c7e42d-0dc1-4477-817f-e624ba4a8640 · outbound

This paper cites Knowledge-based systems 26:225--238.

Strong Formulations and Algorithms for Regularized A-optimal Design Knowledge-based systems 26:225--238

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:34.465763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.874798Z digest=sha256:138cdc0df8ce3a01b7362714c3446f6622cdd7ffcd5cc100767b975df5a71328

Observation d59d4b6c-bf45-45b6-806d-5f4136df41d5 · outbound

This paper cites Statistical science 273--304.

Strong Formulations and Algorithms for Regularized A-optimal Design Statistical science 273--304

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:34.164061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.949448Z digest=sha256:1c95333cdc3b4f08bb7381c9cf697bf5664274d55d7e5f465a0dded7f296e76c

Observation e69b714d-5f17-46e2-8671-8d98d60461ab · outbound

This paper cites Advances in Neural Information Processing Systems 30.

Strong Formulations and Algorithms for Regularized A-optimal Design Advances in Neural Information Processing Systems 30

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:33.778935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.024279Z digest=sha256:d6f1325f922f01fe0e76856b695501a3ea3a3dd96917a807283b96d1faf37f6e

Observation 97ebf7a2-8835-4791-8ddf-3fadbdd2f162 · outbound

This paper cites IEEE Transactions on Signal Processing 66(1):34--47.

Strong Formulations and Algorithms for Regularized A-optimal Design IEEE Transactions on Signal Processing 66(1):34--47

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.161421Z digest=sha256:b8170bfcc74c7436c8b1e97bd91d7aadbaf114c8a889fe222b37a311c1a3b521

Observation c341a9c2-25fa-47ce-b0bf-668f50858f7c · outbound

This paper cites Discrete Mathematics 45(2-3):181--188.

Strong Formulations and Algorithms for Regularized A-optimal Design Discrete Mathematics 45(2-3):181--188

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:33.366754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.299800Z digest=sha256:974e2045ea47eab9388ffa3c94033e3649b8a11888a3907b4d1a9646496e0c1b

Observation e1aea0ae-0bcf-40d5-88e7-4ed826eb3509 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:33.116482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.462020Z digest=sha256:5bf6190989fd87959de61bec40459b3dbe00045734e45bc873bae7821bf9f008

Observation 479c167a-3340-45ae-8091-b781309857b7 · outbound

This paper cites User Modeling and User-Adapted Interaction 29:291--343.

Strong Formulations and Algorithms for Regularized A-optimal Design User Modeling and User-Adapted Interaction 29:291--343

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:32.805440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.554091Z digest=sha256:819d319c302c401b154dbaa71c5dcc1651e10efa6b2c6d0256a60c5d15d087fd

Observation b7792231-43d3-453f-85f2-00736977a7b1 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics, 3197--3207 (PMLR).

Strong Formulations and Algorithms for Regularized A-optimal Design International Conference on Artificial Intelligence and Statistics, 3197--3207 (PMLR)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:32.559210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.628187Z digest=sha256:f3144ebee954c5076a2c4b29c72522e14f05816b8470fe78bcceec0a258c6783

Observation d245bab3-f7da-410f-9db9-57941c053080 · outbound

This paper cites Subsampling for Ridge Regression via Regularized Volume Sampling.

Strong Formulations and Algorithms for Regularized A-optimal Design Subsampling for Ridge Regression via Regularized Volume Sampling

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:38:23.420177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.709337Z digest=sha256:f421ea034f6129f412ece23800ce204aa18e2138a53f4989eda22449c4391852

Observation b0e9c791-fcd9-4556-9863-b22c10f7b6f1 · outbound

This paper cites Workshop on Crowdsourcing and Human Computation for Recommender Systems, CrowdRec at RecSys 2013.

Strong Formulations and Algorithms for Regularized A-optimal Design Workshop on Crowdsourcing and Human Computation for Recommender Systems, CrowdRec at RecSys 2013

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:32.275886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.808452Z digest=sha256:4f8d8dcf41d77bb42b6cd365fa2bb1646b4b71f65b0e31c8416559c2f4b03a89

Observation 06d0f335-2dbb-4dc8-9e3f-be8728ad596c · outbound

This paper cites Variational analysis of spectral functions simplified.

Strong Formulations and Algorithms for Regularized A-optimal Design Variational analysis of spectral functions simplified

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:38:23.273301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f3f564ea-a73a-4d89-b3ed-ae41afc408a5 · outbound

This paper cites Mathematics 11(4):854.

Strong Formulations and Algorithms for Regularized A-optimal Design Mathematics 11(4):854

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:32.052683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.046624Z digest=sha256:5e2942da672e7a92898c6a909806674fcced0e320b3c1ef1f157facd0bf21708

Observation 47d83f51-27f1-44d8-b252-4dede1f1cc2d · outbound

This paper cites International Statistical Review 83(2):239--262.

Strong Formulations and Algorithms for Regularized A-optimal Design International Statistical Review 83(2):239--262

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:31.888537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation efb1c233-4900-4889-9367-5675dc887476 · outbound

This paper cites Mathematical programming 36:307--339.

Strong Formulations and Algorithms for Regularized A-optimal Design Mathematical programming 36:307--339

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:31.698924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.297719Z digest=sha256:26c8d4b861f9da13b694227d317fc27ed3850008c80f28f3b0c86e3ac65226df

Observation 1568ac82-1648-422f-9622-1c3f75bdab55 · outbound

This paper cites Computer Science Review 20:29--50.

Strong Formulations and Algorithms for Regularized A-optimal Design Computer Science Review 20:29--50

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:31.502606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.406294Z digest=sha256:954da4721a46c70de76a911e5e7c330fa3fd0f789880e228c4cfb11dbe6703b7

Observation 823ac780-572b-46fd-a75f-35265edb52f5 · outbound

This paper cites 2017 International Conference on Computing, Communication and Automation (ICCCA), 133--138 (IEEE).

Strong Formulations and Algorithms for Regularized A-optimal Design 2017 International Conference on Computing, Communication and Automation (ICCCA), 133--138 (IEEE)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:31.332818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.522572Z digest=sha256:a4b4a048e3f4dfdffb81ae54649aed3718705f4697982d1b576eddd2cbeb6667

Observation 5ce37175-b8c8-463f-888e-442c5d112900 · outbound

This paper cites arXiv preprint arXiv:2312.11200.

Strong Formulations and Algorithms for Regularized A-optimal Design arXiv preprint arXiv:2312.11200

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:19.623680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:19.623680Z digest=sha256:35dd03d57120a4af8cc2f72a477e32c9b2f2e0c40ff654b0320b654373e82507

Observation 168e8789-d610-4396-a550-98d73be761ac · outbound

This paper cites Journal of chemical information and computer sciences 37(5):861--870.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of chemical information and computer sciences 37(5):861--870

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:31.123960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.769172Z digest=sha256:92cad5e3f855940a53abd6101531a15411d2fe2344a5a080083317763649cc1e

Observation 40ccf06d-48b6-4116-bdac-4f642a66be68 · outbound

This paper cites Quality and Reliability Engineering International 24(4):417--428.

Strong Formulations and Algorithms for Regularized A-optimal Design Quality and Reliability Engineering International 24(4):417--428

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:30.919792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.898608Z digest=sha256:0623b42975a883d106efe2fb295894651acfa6784eee6e236a8ac88dc48f3811

Observation 0e615298-dbcb-4144-bbd3-1a4d6998eeb4 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:30.622314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.979465Z digest=sha256:bf023082d2c391dbd2470f5ce693202de7eed689f2fd0ee0cbc3c1846748de08

Observation 1a17a1a5-deae-40b8-b6d4-ef21277c25e1 · outbound

This paper cites Journal of Quality Technology 53(4):369--382.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Quality Technology 53(4):369--382

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:30.383623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.034455Z digest=sha256:a4a880ba7d5541d33d1a8a41d96fa4384c1936a1d150480a5edbd7762fc786bb

Observation cd29b8ef-5923-4afc-a6f7-08170bb4594b · outbound

This paper cites Mathematics of Operations Research 47(4):2547--2584.

Strong Formulations and Algorithms for Regularized A-optimal Design Mathematics of Operations Research 47(4):2547--2584

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:30.230796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.091979Z digest=sha256:6e7fa657979d5c0988d9a208eec45d5ce79b7e236237d95e43da95db5268c1b8

Observation 9288bef8-b0f6-4448-81d0-39745696da32 · outbound

This paper cites Journal of Machine Learning Research 9(2).

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Machine Learning Research 9(2)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:29.909140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.174518Z digest=sha256:bdd423ed4d84280dd2f0cf3dc1d266d317187e72331b9de8810f6e80644497ea

Observation 710229b2-e12c-4125-a179-1f5a761f6ca9 · outbound

This paper cites Analytica chimica acta 652(1-2):161--172.

Strong Formulations and Algorithms for Regularized A-optimal Design Analytica chimica acta 652(1-2):161--172

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:29.653558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.300966Z digest=sha256:f07c879d4ee02ce7dbee6b56947cc4242b9382b6beec2f62d1178621dbda29d3

Observation 4a2d10ef-6d42-4c7e-8bc9-7bb62c2fc66b · outbound

This paper cites Journal of Convex Analysis 2(1):173--183.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Convex Analysis 2(1):173--183

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:29.417516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.414252Z digest=sha256:668e255a5644eab957ba4280c23d200a05e7b94b40e0eda46a64c2dd1c3d734f

Observation 8ffdbac5-566d-4e1c-8922-86b5c15ef664 · outbound

This paper cites The Augmented Factorization Bound for Maximum-Entropy Sampling.

Strong Formulations and Algorithms for Regularized A-optimal Design The Augmented Factorization Bound for Maximum-Entropy Sampling

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:38:23.129241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.523600Z digest=sha256:fad154e5baee651a59e01e36067f7328e53eaa0e04fbcf2ccd25f00ab365e91c

Observation bc23eaae-13d6-4450-8bcf-11592b4b8a58 · outbound

This paper cites INFORMS Journal on Computing 36(1):97--120.

Strong Formulations and Algorithms for Regularized A-optimal Design INFORMS Journal on Computing 36(1):97--120

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:29.093775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.640337Z digest=sha256:a34ccca6329e1e138e913bd5515f053e4243d9c9ff3e700770ac4f0b879e29cf

Observation 0edaf89e-f0f3-4502-9c4a-3c8ec900f9e7 · outbound

This paper cites Operations Research 72(2):493--513.

Strong Formulations and Algorithms for Regularized A-optimal Design Operations Research 72(2):493--513

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:28.816398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.778061Z digest=sha256:ffa80446859c31ff1ad8d3623ff1afb939b9e1978f200d432a3fbcdc6a8bd550

Observation 01b435ce-3fd9-4f84-9a7d-bbd29e5ee100 · outbound

This paper cites PNOD: An Efficient Projected Newton Framework for Exact Optimal Experimental Designs.

Strong Formulations and Algorithms for Regularized A-optimal Design PNOD: An Efficient Projected Newton Framework for Exact Optimal Experimental Designs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:20.885510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:20.885510Z digest=sha256:d6cbff536db22076f46afc02dc57bea6641217c32ad7c7bfd02f4497d5d445ad

Observation 9547d8aa-520e-43d7-ae42-663071fab548 · outbound

This paper cites Expert systems with applications 41(4):2065--2073.

Strong Formulations and Algorithms for Regularized A-optimal Design Expert systems with applications 41(4):2065--2073

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:28.567034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.945149Z digest=sha256:42aab0d2228eefae1653a9acc6a196dbfd14dfed56ea65247f8a102fdc681e6f

Observation cc94e1a7-a4ac-4b96-9e6e-2a44b1fd7de2 · outbound

This paper cites Conference on Learning Theory, 2210--2258 (PMLR).

Strong Formulations and Algorithms for Regularized A-optimal Design Conference on Learning Theory, 2210--2258 (PMLR)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:28.311796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.056217Z digest=sha256:699d375e223424d3d8f4400c8eb609734d7c2f0d046262885a118620d361dfb9

Observation 6783a110-7497-4c31-942a-d0d0ea221748 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:28.044353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.132752Z digest=sha256:ec6737310946a576dceac71e548ebac0fb78f075f836defd6dd1d7676846a86f

Observation 5f8e9712-f7c8-40d0-837d-1918e670eb76 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:27.810210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.194764Z digest=sha256:9bb33e3785412e60a1b98495b01fc53dd3fe2b0ee41cd8db63ef360e5c382d4c

Observation b66671e3-1887-41bb-b9f1-9404a8d34ee1 · outbound

This paper cites Proceedings of the forty-seventh annual ACM symposium on Theory of computing, 861--870.

Strong Formulations and Algorithms for Regularized A-optimal Design Proceedings of the forty-seventh annual ACM symposium on Theory of computing, 861--870

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:27.619400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.270585Z digest=sha256:362094ee9d192a1ca31efb041937564b8b8f394f642c0754cda514be9a46fab6

Observation e025b7d3-3421-4efe-ac13-922137c0f03f · outbound

This paper cites Mathematics of Operations Research 47(2):847--877.

Strong Formulations and Algorithms for Regularized A-optimal Design Mathematics of Operations Research 47(2):847--877

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:27.488758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.354057Z digest=sha256:7d5e1d4dab6afe7d5111e4e2ee02befbfe9a0339984440bed0d4c02251a7804e

Observation 62162f6d-0cd5-4987-bebd-6fa4541d4351 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:27.298912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.446877Z digest=sha256:227c6962b36c2db38d91760b4083dc4451e790e0773e8f57a0eb93ccd7eeb3eb

Observation 0b52534d-e27b-4d77-9fe8-14f8d29e1ab5 · outbound

This paper cites Computers & chemical engineering 16(10-11):937--947.

Strong Formulations and Algorithms for Regularized A-optimal Design Computers & chemical engineering 16(10-11):937--947

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:27.037284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.560026Z digest=sha256:87e3329f118056ea76f9c69d23d9909c0f39e4d760e0d870862b00e542417c53

Observation 0f0be331-8ec2-4bbe-90c6-0fa451896aec · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:26.851418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.618782Z digest=sha256:1a21e7aaa883cf3f0f58f793b7e572899e88db4b1c3961f4462a6e20d27ea25e

Observation 8544229f-81af-48e8-8956-1c114f641ba0 · outbound

This paper cites Statistical Science 39(1):100--114.

Strong Formulations and Algorithms for Regularized A-optimal Design Statistical Science 39(1):100--114

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:26.563085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.710394Z digest=sha256:c32e1229b2ac903ee0da473c98f54361876d0c0a38ffa4911fc9ac5f1cc80918

Observation ad59186c-b64e-4dc5-b69d-e5cccf01ece2 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:26.306820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.775978Z digest=sha256:555d78c972ff335754edbebfde96bf963cca8a82ebc201f1372fc9053deaa996

Observation 06e1ec79-05b7-4226-a308-2f71b7187e6e · outbound

This paper cites IPSJ Online Transactions 2:240--249.

Strong Formulations and Algorithms for Regularized A-optimal Design IPSJ Online Transactions 2:240--249

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:26.032003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.847707Z digest=sha256:3400f2d4fe126c35fd84fe5822611b7b99b5835238e21b457d9933322745b4f4

Observation a89dad58-e0e8-453c-96f7-4504e21f81e5 · outbound

This paper cites Journal of Statistical Planning and Inference 141(5):1684--1708.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Statistical Planning and Inference 141(5):1684--1708

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:25.852912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.900436Z digest=sha256:8b9a734fe8279ece1faa5174b5103af4865c9fc153fe50c02b661240c75a1f75

Observation 1e3ce0c9-63d7-40c7-965a-5eca96bd008a · outbound

This paper cites The Annals of Statistics 43(5):2198--2224.

Strong Formulations and Algorithms for Regularized A-optimal Design The Annals of Statistics 43(5):2198--2224

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:25.600051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.988302Z digest=sha256:4f8351c573a8e4a6b23c6dfadd91f15a45552b7b0fdc7f56143816222642acb8

Observation 42f6f6e0-e70f-474b-b92a-c0663669df63 · outbound

This paper cites an unresolved cited work.

Strong Formulations and Algorithms for Regularized A-optimal Design Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:38:25.314960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.079683Z digest=sha256:29a8c1b14685cc17cfefb942d62bc924bb8ac7c9105e3445725d560d5ab18122

Observation 783e2f84-ae1c-4288-92bc-2ba35667cb50 · outbound

This paper cites Technometrics 65(4):492--501.

Strong Formulations and Algorithms for Regularized A-optimal Design Technometrics 65(4):492--501

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:25.116514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.150286Z digest=sha256:669d2ae0fd196121ce1f072efef362b4276eeda1600614a60c4000f732193426

Observation 28db0ded-383f-4067-bb20-24a32d37e6cb · outbound

This paper cites $\lambda$-Regularized A-Optimal Design and its Approximation by $\lambda$-Regularized Proportional Volume Sampling.

Strong Formulations and Algorithms for Regularized A-optimal Design $\lambda$-Regularized A-Optimal Design and its Approximation by $\lambda$-Regularized Proportional Volume Sampling

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:38:22.998217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.218834Z digest=sha256:6af22ca9eefde4d025ddd6492ba85d7ad990731e48cca7dfc1e4ce353c8d9d7f

Observation ee7c6fc1-2dea-475d-81b0-d71c9d8def7d · outbound

This paper cites Proceedings of the Recommender Systems Challenge 2017, 1--6.

Strong Formulations and Algorithms for Regularized A-optimal Design Proceedings of the Recommender Systems Challenge 2017, 1--6

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:24.772178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.275123Z digest=sha256:9dad8a4f7935b015131d41b987f1f9c34553e4a858c01ee9532dc0e189e7a403

Observation c778bae7-5e1e-4a94-b460-208d6885f782 · outbound

This paper cites Journal of Machine Learning Research 18(143):1--41.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Machine Learning Research 18(143):1--41

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:24.387692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.345287Z digest=sha256:af6f3d2f4ec46f1b6bf88146eab64e2b19f4f02925aebd2f722d64d6c746f61c

Observation dc65e262-960d-48e3-95f7-8593af676368 · outbound

This paper cites Journal of Statistical Computation and Simulation 15(1):17--25.

Strong Formulations and Algorithms for Regularized A-optimal Design Journal of Statistical Computation and Simulation 15(1):17--25

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:24.012632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.440479Z digest=sha256:6bc4f30cf11a911aab203a97d4d283180e687c91872360a2dcdc174074a3cc9a

Observation 32c8309e-cf02-48f1-921e-0acec63b2327 · outbound

This paper cites (1971) Statistical principles in experimental design, volume 2 (Mcgraw-hill New York).

Strong Formulations and Algorithms for Regularized A-optimal Design (1971) Statistical principles in experimental design, volume 2 (Mcgraw-hill New York)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:23.806960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.527508Z digest=sha256:75461c54509740f0e001310d80ca3e4e3aa017795608f3327ff86ef420ec4033

Observation 3a9b1086-b2bf-49cd-a8e1-68dd8ecae752 · outbound

This paper cites Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 71--80.

Strong Formulations and Algorithms for Regularized A-optimal Design Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 71--80

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:23.558479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.619125Z digest=sha256:738d4196ffde0f1bcfc06ace1a2184756726b6406da4dffeb486136efd6f4ff1

Observation bd3b399f-9f65-41c0-839c-0931a4c6df19 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Strong Formulations and Algorithms for Regularized A-optimal Design , " * write output.state after.block = add.period write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:22.714322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:22.714322Z digest=sha256:4af6df68b58eecc9b75538e274f6eedbf7f928a93ee6bf719200c2e747a83c1c

Observation 1595b8a3-014e-4769-98a2-a973c2b24e89 · outbound

This paper cites write newline.

Strong Formulations and Algorithms for Regularized A-optimal Design write newline

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:22.790234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:22.790234Z digest=sha256:4860636e9fd418ad41ef1b9b889bf7d99d7b1bea3c0c49571a80191c9ab3992c

Pith citing papers

Observation f55d2fac-0828-49bb-a23f-99674c5c6143 · inbound

The Approximation Ratio for the Risk of Myopic Bayesian Active Learning for Linear Regression cites this paper.

The Approximation Ratio for the Risk of Myopic Bayesian Active Learning for Linear Regression Strong Formulations and Algorithms for Regularized A-optimal Design

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:47:43.657236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-11T00:42:08.061342Z digest=sha256:1bc98b93a70ef6b001909c751a2527f24b83d3114442877f392cec45a4825000