Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:32.839912Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.00742.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:32.839912Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1ddb208f-b448-4486-b8d2-56cdf3a9da8d · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections , " * write output.state after.block = add.period write newline
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb98a768-1607-409e-b49e-a575c0e3aa80 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections write newline
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633adea7-cc71-4d7d-8b62-cc68d134b80d · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (1988), Spatial econometrics: methods and models, vol
Reference 3
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.
Observation fef6a8d5-c6ef-49a2-b19f-e5e7b4bc8e53 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2020), Local fiscal multipliers and fiscal spillovers in the USA, IMF Economic Review, 68, 195--229
Reference 4
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.
Observation 7f365282-d824-4fe1-b404-d628b92a2f32 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2012), Statistical analysis of factor models of high dimension, The Annals of Statistics, 40, 436
Reference 5
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.
Observation fbf962c0-7ef1-4acf-8a32-1e95f2afa266 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Li, K
Reference 6
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.
Observation 461aad75-8f09-4096-9183-4e20e0b2b165 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Ng, S
Reference 7
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.
Observation f19a9bce-f703-4c45-8e5e-9c4ded9c5332 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections S., Boivin, J., and Eliasz, P
Reference 8
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.
Observation 6a3e6095-17ad-4504-bf61-580bb96fc48a · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections J., Lucas, A., and Schaumburg, J
Reference 9
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.
Observation 5125497e-ba43-40ce-979e-58de142c7753 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Chen, Z
Reference 10
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.
Observation 55b912f6-d8cc-4767-970b-793215c4c951 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2025), Estimating time-varying networks for high-dimensional time series, Journal of Econometrics, 105941
Reference 11
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.
Observation a97377aa-1d96-46a6-a361-a9ce1a50006b · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Qu, A
Reference 12
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.
Observation 8fd52365-8137-4d94-b31e-304a87621192 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 13
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.
Observation 19db86a4-6b28-465f-8d34-ae0250ecde19 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2001), Infrastructure development and economic growth: an explanation for regional disparities in China? Journal of Comparative Economics, 29, 95--117
Reference 14
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.
Observation fc2f782a-f994-402a-b794-581a64cde25e · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 15
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.
Observation d1d1da30-5cb5-438b-822b-aea8faea1880 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2004), Least angle regression, The Annals of Statistics, 407--451
Reference 16
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.
Observation 8f395085-6cde-4c8a-a07d-90b6c6f2fa65 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2008), High dimensional covariance matrix estimation using a factor model, Journal of Econometrics, 147, 186--197
Reference 17
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.
Observation b686eeb8-f238-4a36-aff5-535fa7be712d · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2022), Estimating number of factors by adjusted eigenvalues thresholding, Journal of the American Statistical Association, 117, 852--861
Reference 18
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.
Observation 16001db5-c9c2-4526-baa0-d0c6b8c412f5 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 19
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.
Observation 9a5efd96-88ab-4d6e-abec-7263053bece8 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Li, R
Reference 20
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.
Observation a5471de7-02a6-409f-b497-83862fdb102e · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2020), Statistical foundations of data science, Chapman and Hall/CRC
Reference 21
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.
Observation 864d176e-4e5a-4f55-99b7-e9e57904298d · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Liao, Y
Reference 22
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.
Observation 04c68e48-99a6-4cea-a208-4fc468b236b6 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2013), Large covariance estimation by thresholding principal orthogonal complements, Journal of the Royal Statistical Society Series B: Statistical Methodology, 75, 603--680
Reference 23
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.
Observation 140f3d00-b524-473b-9b92-c0bf7894f02f · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Lv, J
Reference 24
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.
Observation 6500ce9f-abc1-44df-87d5-6b0f068657ea · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2021), A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery, Annals of statistics, 49, 1239
Reference 25
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.
Observation 4cf24160-6d4e-41c4-bdfd-0c2843d944ba · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections R., and Venables, A
Reference 26
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.
Observation dfda0117-bf6a-4560-a9bc-151f858315bd · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Tracy, J
Reference 27
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.
Observation e31a0ca9-68c6-4585-9760-e5966279b769 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections D., Raftery, A
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fd635ac-6756-4278-a70e-8b76175f977f · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 29
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.
Observation 35096320-4c8c-41d2-aa6d-206966d71070 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections H., and Wang, H
Reference 30
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.
Observation 944df8c5-aecb-4a7e-bd94-342b839a945c · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2021), Feature screening for network autoregression model, Statistica Sinica, 31, 1239
Reference 31
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.
Observation b8a7bac3-3941-4252-bbbb-5b499652a20f · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 32
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.
Observation 49e136ee-6363-455c-9626-c87411ae77fa · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (1987), The primary, secondary, tertiary and quaternary sectors of the economy, Review of Income and Wealth, 33, 359--385
Reference 33
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.
Observation d3ebb289-c3ae-4ee3-8198-ff471d847508 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Yao, Q
Reference 34
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.
Observation d9fd6f23-4929-46c5-b9de-94736b528098 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2004), Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models, Econometrica, 72, 1899--1925
Reference 35
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.
Observation b4afdb27-360b-4a58-af2c-9d946ed22ca7 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 36
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.
Observation 40c28be9-3206-406d-9d04-ee3c53b19dbe · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2010), Specification and estimation of social interaction models with network structures, The Econometrics Journal, 13, 145--176
Reference 37
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.
Observation 3abf00c9-7db8-4221-9c5d-56386c6e6e81 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Yu, J
Reference 38
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.
Observation 7c3d716b-b484-4f15-9df6-951391a6a0ff · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2018), Interpolation theory, vol
Reference 39
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.
Observation ec215d97-ee00-433f-b98c-7e700d7da1d6 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2009), Contour projected dimension reduction, The Annals of Statistics, 3743--3778
Reference 40
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.
Observation f03388b7-1982-49b3-914a-323c81d67003 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Snijders, T
Reference 41
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.
Observation 2da2c561-9b39-415b-b300-01c5c2acc52e · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (1993), Linear model selection by cross-validation, Journal of the American statistical Association, 88, 486--494
Reference 42
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.
Observation 12cb0d17-3e2a-4fdc-ba20-de561258af5f · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2012), Semiparametric GMM estimation of spatial autoregressive models, Journal of Econometrics, 167, 543--560
Reference 43
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.
Observation 49f794be-f263-4e32-bfb7-e36ffe6b37b3 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (1996), Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society Series B: Statistical Methodology, 58, 267--288
Reference 44
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.
Observation 47fdfb63-8dba-4e5a-ae24-a23def447792 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections Unresolved cited work
Reference 45
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.
Observation 364c03cc-a317-4c4a-a61e-c2f55ec1dfb5 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2012), Factor profiled sure independence screening, Biometrika, 99, 15--28
Reference 46
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.
Observation edb501dc-d331-4558-8181-e265839938d4 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2009), Shrinkage tuning parameter selection with a diverging number of parameters, Journal of the Royal Statistical Society Series B: Statistical Methodology, 71, 671--683
Reference 47
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.
Observation c95f7186-ba82-40f1-af87-4b5a883acb92 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2007), Tuning parameter selectors for the smoothly clipped absolute deviation method, Biometrika, 94, 553--568
Reference 48
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.
Observation c2897d25-08c5-40cf-af32-0bac732900e2 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections and Lee, L.-f
Reference 49
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.
Observation 61038fe2-ca5c-4969-b80a-cf03d6af0871 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2022), Spatial heterogeneity of the economic growth pattern and influencing factors in formerly destitute areas of China, Journal of Geographical Sciences, 32, 829--852
Reference 50
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.
Observation 8aafbf24-6907-4b9a-a4cf-63ee7419a6dd · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2016), Strategic interaction in political competition: Evidence from spatial effects across Chinese cities, Regional Science and Urban Economics, 57, 23--37
Reference 51
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.
Observation 8c19b9f4-017f-42dc-8c1c-8ea7e1f90a37 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2022), Joint latent space models for network data with high-dimensional node variables, Biometrika, 109, 707--720
Reference 52
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.
Observation 7b619258-1522-46e7-92a3-bccd0bc2a4f8 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2024), Variable selection and subgroup analysis for high-dimensional censored data, Statistical Theory and Related Fields, 8, 211--231
Reference 53
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.
Observation ce1a9480-ade8-41aa-9fef-ed62a77390bb · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2023), Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissions, Journal of Environmental Management, 325, 116423
Reference 54
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.
Observation 18597778-4912-47c1-85a5-1042b0345602 · outbound
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections (2020), Multivariate spatial autoregressive model for large scale social networks, Journal of Econometrics, 215, 591--606
Reference 55
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.
No inbound Pith citation observations are available.