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Paper Citation Record · LEDGER

Strong Formulations and Algorithms for Regularized A-optimal Design

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.009421Z digest=sha256:82447e26c8090e5b019593c15527f07b3646f81a567f58140c86a146f644ba91

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.416750Z digest=sha256:7426287d2d326aa055f25f4de531c16e47db4e7f1904d18b5d025bbcae70d5e0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.531844Z digest=sha256:74a83cafd27fcc046eb6eaf1714feebf2091cabd9c68959a012eb6e0eb81878e

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:17.727478Z digest=sha256:65a2ba1472181d35015138f03826ea547733f5c5905a426596b8e9b8cf7af0a7

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.299800Z digest=sha256:1b68f2daad74f8128f7c4410a3e9c68181f9c653dee6f13d0a4b77765042944b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:18.554091Z digest=sha256:acd1f414243820d4e0b7bab6576810b3b826410302f3787ded9be95f8dd5cf0c

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.406294Z digest=sha256:0a456d0fbffcff62b39f501be192b76ecf802b7bda89facd40d7467952cb58ca

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.769172Z digest=sha256:c83445cfa5b01de86cc78d8e2c9ddfc4400d5a36609d172bddea669feadd3ba3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.898608Z digest=sha256:06cff19bc1086c6a434b839e9157d87c699aec4916d3fa38cb8fb1aacd35d297

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:19.979465Z digest=sha256:8597b72fc9726759884c97928721ddb2e1c58f4ce132c5b338f64c6785a05fec

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.034455Z digest=sha256:ffd1f6f29d34260bb9d8cbca1a09dc4dfc797cd27a7763b356710325c1bef309

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.091979Z digest=sha256:8475e8cd34479224530eb0559c9154ae880b799f52ce4061b8c65ab82f660c90

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.174518Z digest=sha256:994fbb52dfd5b13a2e90cece9bf35af6b3591d2a38e1bde5ceefd8cdad696907

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.300966Z digest=sha256:e086e48b7cc54593660c3346b07cea8d712a4e348690e591c55824e4625c500b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.414252Z digest=sha256:502b99d918192191ec843da9ea21d02ce8ada007c5de693bb3b77c0f74add904

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.523600Z digest=sha256:f347e89ff3174be7988d834c8217e8ac453084fd243b325d284f909dea75149a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.640337Z digest=sha256:9a18f8c77e9b61dc641692048137bb3c659bd2553ef54db8d4efe933f1a2aa08

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.778061Z digest=sha256:769ca1acf2e9a84f0e015f287dbc272568e1d8fdf7885b129d81e188ed213bd7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:20.945149Z digest=sha256:fbea45084c2ed9fbcf883667bbd7eb8d2989e4a039f63c94d3d867ccf7920191

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.056217Z digest=sha256:ecf73ba9bcd3ecedac9d1b2d2864f361d8c33db9e0a01fc49f9ba375d386668a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.132752Z digest=sha256:cb4c55537cc7316c9e26040a51072a2003366c725352a6edffb57bd4a4d92da0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.194764Z digest=sha256:78de14e9b9d803215aaa208f4fe80b6cfdbace6cb80824f8223e9b130604a797

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.270585Z digest=sha256:243b3a6d20df67fa61a26e28e683d1f12e9b87d2e8259396e78a4dc2da7707c8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.354057Z digest=sha256:4f854a0508c85e4fe2bdcfb35a8131e75b583cd4561b5b409ace6d9fe3f0202a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.446877Z digest=sha256:b49d7f1cf30d717c633b89bbcbb51d376d914da9fbbceba61f04951f63442877

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.560026Z digest=sha256:6168a0926ce5b74b50315f8ce4ba64285549543315092c8c78e89b923eb826d4

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.618782Z digest=sha256:3fd3cd9fcf514d45b8eddc13656f3233475aed04ea7c8c704bb9926f3e40d743

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.710394Z digest=sha256:066c45d8c5f6b2366985dc007859b790721fe712b8045e596e54b2e8d3b03ff2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.775978Z digest=sha256:fedd6e28163f6eb94ffc61bad5a8fec30cab5d02f14d7270b210aa76f4b0def3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.847707Z digest=sha256:533a282f6799ce103b0f23ef4c2747834682bc7c8586584e613c88ad72cda5cd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.900436Z digest=sha256:4853e58747cd10682a9a3a764cea810fd9794410730067031286a2b660387e77

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:21.988302Z digest=sha256:8f94b09087199d2ecb0232bbd73c3ede8872a737014177f74c1ea9441aa5a56b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.079683Z digest=sha256:a9a8ecf8fa80e0c7702fef6df0309bf973094b069bf0e1f9b9addcd72e63ae4b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.150286Z digest=sha256:67c086ded22050f7ae7114477cf8b704439d12e5d728fca2dfb52ccdaf1652c5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.218834Z digest=sha256:701621db03559c57d7ac6dbbca14d2d7189cd64dd8851e02f98ac29090e4fba4

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.275123Z digest=sha256:1e2326ae91924be201b09d20d82f22f6c0c4c3f64a4dd72409a6d379bc25bf73

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.345287Z digest=sha256:05eeafb53f857957062738fab5c343cfbc513df8fc294535356bab546b29e68c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.440479Z digest=sha256:7ab4e794999672f0a49626a85cb3d5d5bf859fee7bd1980a7c9c951d9d5fede6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.527508Z digest=sha256:1f7433687c7d5233113a6e7f09f73f202a1173646b33f95123a83e03851dcead

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T15:38:22.619125Z digest=sha256:12f8da82b60378df869840dd087b88f44b0ae3b4bf6b4051dbcb5cd845423053

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-11T00:42:08.061342Z digest=sha256:221e846783246a37a10f4f7c8f0ea6140729c65e8e48f8b2a4d74bdc1ad119f6