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Paper Citation Record · LEDGER

Strong Formulations and Algorithms for Regularized A-optimal Design

As of 17 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 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:16.579403Z digest=sha256:4410f23bba4e343c0725d7649dd294ddfdffb7196240c1671b9b21071c56622a

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:16.863889Z digest=sha256:19bde629420cde6a18a0b9bb1eb2e02dce7213704d17f97fecbdbe5526ce8ba1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.009421Z digest=sha256:9916441d22f2c6404b2a6d8fd6aee601bf3fffeb74cfd8614b578f579634195a

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.255911Z digest=sha256:5eb4e73a3d6a0abfc136765123936b57018af8a81af1ff5c9b9d6ed2908b4381

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.416750Z digest=sha256:89960d719ea232c4f9b26d7eafadd12129cbc58c027180eb3d7f6f1eca9f6388

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.531844Z digest=sha256:cbd89dbae7d261b0603315a9ae3ae61c4fb8c5100bfaa97e1ad434ae3e78f522

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.727478Z digest=sha256:c0c523a098fb50c8805f3c6adef86af77932ef6ddb6ab6ac55fd3342ef1a7ba4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.874798Z digest=sha256:0d9100b7b86ff76b9302d8275cbf0554b3548dd705a070d660374f4f178588c9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.949448Z digest=sha256:06abc67773e86c9c800e74f5c063131fa69b8729c21921998a7d5ac83dcdd593

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.161421Z digest=sha256:362e332be81aab70b5b958ce93f5739bf15ddcd950a8b97949e7eea6e143d5c6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.299800Z digest=sha256:f9cfb44b4df33f56a076dbcb331fb04487b66c110d661fd7d3d75045d877828f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.462020Z digest=sha256:6aaff4d79e3f01e75d0b2e33458a19875134ad4e7149dab8bd795a3786455e73

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.554091Z digest=sha256:298a1bd1a8295dff110e87ab4cb83d94c7f4bd02a0aebab7743b39bdf584a5c7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.628187Z digest=sha256:dfa403db783fe67ceecba93c80eaef91e9a08aeafd60c246042eac4328d4cf05

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.709337Z digest=sha256:2bc0e98e0a2bd94e917c5fffd2f29bd871c80946baf5398144315af760877dd8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.808452Z digest=sha256:9975394c56fe39fcc8f4c38c5c80a96e77f43a290fca389a942d941be3ac71ad

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.046624Z digest=sha256:7596241e597c8f9b83fd39bdc2d4708c72fa23436f2b0333e980ef138bf78015

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.162224Z digest=sha256:4e1c1a22d22df4cb9af8427134f1b30b6e095545131d889f3768a6d6c7855374

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.297719Z digest=sha256:d925928bdfa640580f7c18ffc208efe289fac9f0afd3dc46116425ecc3d982f8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.406294Z digest=sha256:8a227b0960d57e69117e9060c4fb381e087d4e2e1534c8c4b6cd20ebc8310605

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.522572Z digest=sha256:2c4f44612c8c154ff4f06b172aa52f1286f456c45dfc002c1b990917bb661496

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.769172Z digest=sha256:c353d27c6353da1d342f5f32aadb432d22df59e70d3f5d0ac6751f96464fc1c8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.898608Z digest=sha256:a13938a1a7223cd74b6c855a5e95d37b22c61a382ac5d97838d3a5498f9e7f30

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.979465Z digest=sha256:f9b486c2823080ae99a75f2b792c67252dce424570b28f1a371a871c7c9a1aa8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.034455Z digest=sha256:c0be627694881f6e0902696a4c45ecdc414b898e16683fc7513855eb4886b1cf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.091979Z digest=sha256:874010624c815380f5819f625aadaa4c54110f65c6540b6541d4b5c559dce4d9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.174518Z digest=sha256:4249dc1b4365dd16e8d47c4291c2a668170d9a1b99129f5770f3b0400902c17b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.300966Z digest=sha256:d83689d989176b4d1a04ff82784dd83e77034e459a0db21959f756187ccbd07f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.414252Z digest=sha256:e4a808246baad681556bf1d700f27b62f0f7fbded3f6096e3d40a5bdfd6afb79

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.523600Z digest=sha256:dfd56de095f570534ec3a6850db7f5ec848ab571935ae9b11cbf69353a444f39

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.640337Z digest=sha256:2d718a783ea4a4155e939e819c781f5f32245a72a009bda07d8e50f400a811e1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.778061Z digest=sha256:eced6efd084e3260482f49e4e6e359db691c8f93b8b7d7e477bb8d4cb4e32771

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=sha256:0320d413d9eae526c83baac498428016c2d2aed2534c0b07798c50c5e1ae4669

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.945149Z digest=sha256:dfdecbee7eb4bfcf5406b013cccfa1ee984ae22bdf7d7ec4274c4172b7695d5a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.056217Z digest=sha256:cc221ab9307282afb7c51fec33cdd3b37b331ed99e70c7bf7c49205d66abef62

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.132752Z digest=sha256:c4cb8ab4dc9096f03151c98645af8d0a498b26a04b25431b94a59512719f77ad

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.194764Z digest=sha256:789b4343963fadbbc7219b1cf3a7c2369ec72f2b129a6a7b7a1d1644dbf9ea22

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.270585Z digest=sha256:71452c31db9578f68dac081fca0c02abde1db52086d0d25224e1da7fd9a152b8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.354057Z digest=sha256:ee239b687c3911ac9b300c1ca0c785cce0031a0239dad3b76765db4e1dd13588

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.446877Z digest=sha256:c1062e58df0f31bfbe2ce93374cea1cc38d38e001a06195d1c4d8d0fdee413cd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.560026Z digest=sha256:7c5bfe4cc17d658bc56d60f4551cfb0ab12775bb418777f2226b782cf3614b3f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.618782Z digest=sha256:70a9fd9f18adb38a6b8a96b72b4360dfa2ded80415d8828120db5ad526bc09a7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.710394Z digest=sha256:44032a61edbbacf8561bcd50147d5de3784d1315d1707990f4abd0cdd5e23dec

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.775978Z digest=sha256:ec12ed83f1dee70f4e9892cb4689700ec12cd38bd7b679769b8ef32f61be356b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.847707Z digest=sha256:d79237dd9984e87391a48cfee8339d1f7dc105f68c27eb89d396ffae1e2aa648

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.900436Z digest=sha256:b39e3d4e59e853c843046308d1a952280efe96b6ee8abaaeeb5405215c15f0e6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.988302Z digest=sha256:59196f48a16c29b85357a2ea4173f48afdc77c816cf46d990a3660abe0921e8c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.079683Z digest=sha256:dbad8b77ad3266554bbd170aedf04f235d3b27805cc041d9a8f5b4ccfdf2f3b8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.150286Z digest=sha256:c95506d1557f9977004db183fee39e09f382d1179cb64493982e4a0c73309f86

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.218834Z digest=sha256:c9a3f43fb9b010dda68a4095c3474dce34f99dc9579854a19df410948ecf6a61

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.275123Z digest=sha256:4c69644387829862328dc013fca1f13ae8a724cc2e97d427a1793a265baedfab

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.345287Z digest=sha256:7a2d82944317defa08a9320ad85a5e75514d880aecb267c56e62a1b8309c9c82

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.440479Z digest=sha256:a5053ff57e1515adffb5f687afe98c6793a7d36ba815a4d629eada8659dae650

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.527508Z digest=sha256:cbd21af377e549f76e816d4f8aa78f9a727b1cae85a754a73c0767aafaf0534e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.619125Z digest=sha256:163680b03b72fa7b120fb4e94a876758a335ef73f85f199c58cebd0daa4fdcc0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-11T00:42:08.061342Z digest=sha256:96b7fc13b804b1f10d9aefa2cff8817023182376deba38854aff3d5b334070b9