Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:27:37.191263Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 1 inbound Pith citation observation for arXiv:2507.03061.
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 2026-08-06T20:27:37.191263Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:39:09.549449Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:39:13.420212Z
95 of 95 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f412bb30-f8cd-418c-af02-7e77c8a5a3bd · outbound
Multiple data-driven missing imputation Missing data are common in real-world datasets, and time series data are especially susceptible
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb80e451-6aef-4004-b624-459b4e40991f · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e65b2f8-ed7f-4014-a8ad-9e69a2afa489 · outbound
Multiple data-driven missing imputation imputation of missing data
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af44dcf8-95c9-4a6a-9a4e-6876031474cf · outbound
Multiple data-driven missing imputation This section details the datasets used, the imputation methods chosen for comparison, and the metrics employed for performance assessment
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b055ae3-000c-40ac-91f0-9737a9ea5560 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baee386f-4730-43ef-98d5-2d474ad32932 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 193ca5e4-889c-4a80-8003-7e07f5ccf0aa · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c1dde22-86c7-4a37-b1b6-52597a2ab21f · outbound
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Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43398e86-f67c-4436-b85e-dc469a3ee864 · outbound
Multiple data-driven missing imputation KZImputer
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab19366f-2f66-45a6-a52a-37d471be9834 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54e275d7-64f2-4162-8ecf-36507c2f33d5 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0da5e2fc-d7c2-47a6-9d9d-a2d6d288c0ff · outbound
Multiple data-driven missing imputation (Note: KZImputer uses this for mid-gaps, so this comparison will be particularly relevant for start/end gaps and overall performance)
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffcd2bd-b4d9-42bd-a2dd-f99a67a627a0 · outbound
Multiple data-driven missing imputation Suitable for time series or sequential data
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d3fb11b-3863-478b-8e51-101406ed9065 · outbound
Multiple data-driven missing imputation Often used when future values are assumed to influence missing entries
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f668cbd-6d8e-490d-92c1-ecedb9d18aa0 · outbound
Multiple data-driven missing imputation Captures non-linear trends better than linear interpolation
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8ce23f-1333-4639-913d-85a9a80e0eff · outbound
Multiple data-driven missing imputation Effective for capturing local patterns in the data
Reference 16
Source-reported events for the cited work
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Observation 98ed7607-23a0-46e8-afc1-b307035361cb · outbound
Multiple data-driven missing imputation Useful for multivariate data imputation
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 37e0a3cd-2147-4d22-96e4-ff1dfa9dda20 · outbound
Multiple data-driven missing imputation Less sensitive to outliers compared to RMSE
Reference 18
Source-reported events for the cited work
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Observation f9a5d5fe-c701-4104-8eb7-89cc12faceb9 · outbound
Multiple data-driven missing imputation More sensitive to outliers than MAE
Reference 19
Source-reported events for the cited work
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Observation 323ebc6a-9e44-4d0e-b072-fe256d344d6f · outbound
Multiple data-driven missing imputation Undefined when actual values are zero
Reference 20
Source-reported events for the cited work
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Observation 6cd5ae2b-8acc-45da-8491-9f6ce0859bc4 · outbound
Multiple data-driven missing imputation Typically expressed as percentage for interpretability
Reference 21
Source-reported events for the cited work
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Observation 0980d67d-c024-4686-9528-1bf675275d61 · outbound
Multiple data-driven missing imputation Higher values indicate better model fit to data
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 699db5cf-9f3b-4a9c-89a9-2510bb0946a9 · outbound
Multiple data-driven missing imputation Square root of JS divergence forms a proper distance metric
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b63e88f7-dce7-4da4-b091-408af9ac0692 · outbound
Multiple data-driven missing imputation Particularly useful for comparing distributions with different supports
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4b71da69-7c98-4a62-88d5-ee982ae891ca · outbound
Multiple data-driven missing imputation Values closer to zero indicate better preservation of correlational structure
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9093dfd6-2771-4f15-abd7-95aea3cc8cbd · outbound
Multiple data-driven missing imputation Gap’s number
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f53173fc-f98e-43a2-bd54-5853a73e6fea · outbound
Multiple data-driven missing imputation Key observations are summarized in Tables 2 and 3
Reference 27
Source-reported events for the cited work
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Observation ec654ab3-038c-4fc3-baa0-6eba87a9722d · outbound
Multiple data-driven missing imputation Suitable for domains with degraded sensors or telemetry data (e.g., remote sensing, anomaly-prone IoT)
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f9771fe-58f0-4e28-9da2-43fd1933c86f · outbound
Multiple data-driven missing imputation Ensures dynamic consistency essential for downstream tasks (e.g., forecasting, root cause analysis)
Reference 29
Source-reported events for the cited work
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Observation 1e66fb27-d5a7-4d32-bc5d-df3ae611d28c · outbound
Multiple data-driven missing imputation Optimal for environmental, behavioral, or energy datasets where structural evolution is prominent
Reference 30
Source-reported events for the cited work
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Observation 79719def-6be8-40ae-9201-f98eeadecc09 · outbound
Multiple data-driven missing imputation Enables valid application of classical models (e.g., ARIMA, Kalman Filters) that assume stationarity
Reference 31
Source-reported events for the cited work
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Observation c0ce3584-107b-462d-bf2d-480de0307f7b · outbound
Multiple data-driven missing imputation Use simpler methods (e.g., spline, EMA) in low-sparsity unless structural fidelity is mission-critical
Reference 32
Source-reported events for the cited work
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Observation 1f8cd8a9-4d7e-4dc1-8563-e4a6c8208194 · outbound
Multiple data-driven missing imputation Enhances quality and stability of learning pipelines via structured, nonparametric imputation groundwork
Reference 33
Source-reported events for the cited work
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Observation c90571d1-1e71-4903-9fd3-0b084ce19454 · outbound
Multiple data-driven missing imputation The methodology, imple mented in Python, combines localized averaging with interpolation to balance accuracy, computational efficiency, and ease of use
Reference 34
Source-reported events for the cited work
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Observation d5436bc9-de7f-4554-9afc-c13b0a2b8c37 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 35
Source-reported events for the cited work
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Observation 406be64e-80e3-45bb-9846-e4360c59562e · outbound
Multiple data-driven missing imputation (2021), Kalman filter algorithm versus other methods of estimating missing values: time series evidence
Reference 36
Source-reported events for the cited work
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Observation 4adba0f1-8217-47f4-acf0-f38b0de9249e · outbound
Multiple data-driven missing imputation and Miskon, S
Reference 37
Source-reported events for the cited work
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Observation d6fc7a4e-017c-4aa0-a25e-e093217433a5 · outbound
Multiple data-driven missing imputation Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset
Reference 38
Source-reported events for the cited work
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Observation 5a94d532-548b-4b34-9cc2-9ce53e130a0c · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5e35af7-2e06-4e1e-8b34-f1818615f0e8 · outbound
Multiple data-driven missing imputation and Pinto, F.C
Reference 40
Source-reported events for the cited work
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Observation bd792992-0053-4337-9fa8-7f0a0ff14284 · outbound
Multiple data-driven missing imputation G., & Bland, J
Reference 41
Source-reported events for the cited work
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Observation 329e47f7-4607-484d-801d-da70b5f802a1 · outbound
Multiple data-driven missing imputation and Gad, I
Reference 42
Source-reported events for the cited work
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Observation 9bf380fd-6905-419d-8237-e927d8c4b13b · outbound
Multiple data-driven missing imputation A Review of Hot Deck Imputation for Survey Non -response
Reference 43
Source-reported events for the cited work
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Observation 84ffd37b-8311-4015-ae92-57aa50dc22d0 · outbound
Multiple data-driven missing imputation J., Stuart, E
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52f6e521-6e27-441b-98c3-ce6e1088a133 · outbound
Multiple data-driven missing imputation W., & Hatch, L
Reference 47
Source-reported events for the cited work
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Observation d7a5affe-ac3c-4b6c-9777-7aa760c368db · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 48
Source-reported events for the cited work
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Observation 10a460f3-2713-43aa-8741-68994e48c552 · outbound
Multiple data-driven missing imputation BRITS: Bidirectional Recurrent Imputation for Time Series
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6ac1c32-4551-48d7-b702-7eaffa7faf18 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 50
Source-reported events for the cited work
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Observation 03e81954-ae27-4956-aa51-5416af2b4550 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 51
Source-reported events for the cited work
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Observation e59e5686-43a5-4f84-8691-f9edc2fd62fb · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 52
Source-reported events for the cited work
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Observation 8f9626e0-281d-4533-8aeb-fd8421e58ba9 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 53
Source-reported events for the cited work
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Observation 4c52208b-de6f-4e4e-a935-0cefa460e0f8 · outbound
Multiple data-driven missing imputation (2023) Comparison of Imputation Methods for Univariate Time Series
Reference 54
Source-reported events for the cited work
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Observation 0f5f5b32-35a8-47a8-8e3a-9f423c74c834 · outbound
Multiple data-driven missing imputation and Tabona, O
Reference 55
Source-reported events for the cited work
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Observation f1f97d35-5eb6-4ebb-8044-e3ddd853fd3e · outbound
Multiple data-driven missing imputation (2022) Applied Missing Data Analysis
Reference 56
Source-reported events for the cited work
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Observation 270d363b-da4d-4ed4-832f-62e22838f63e · outbound
Multiple data-driven missing imputation EMHIRES dataset
Reference 57
Source-reported events for the cited work
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Observation c5be6555-a3cc-4f4a-a3c4-68c193bae130 · outbound
Multiple data-driven missing imputation Accuracy of random -forest-based imputation of missing data in the presence of non - normality, non-linearity, and interaction
Reference 59
Source-reported events for the cited work
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Observation 0fe331cd-3617-4865-a653-db3c15f2ec7f · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 60
Source-reported events for the cited work
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Observation febc5dff-f857-4935-aedd-169d6218251c · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 61
Source-reported events for the cited work
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Observation bd307bc8-260a-46d2-9198-58d994236882 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 62
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71ea4f19-7b12-4f6f-a6ad-efaf8f9bb125 · outbound
Multiple data-driven missing imputation Conceptual fundamentals of a theory of mathematical interpretation
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation af6afbf2-d9b2-46ab-a919-a560163731ce · outbound
Multiple data-driven missing imputation (2021) Addressing Missing Data in Educational Evaluation: Predictive Mean Matching Imputation for Test Score Data
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 35dc50b5-fc3e-44c7-8091-557971616f0a · outbound
Multiple data-driven missing imputation Exponential moving average versus moving exponential average
Reference 65
Source-reported events for the cited work
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Observation 32b1fe91-7533-45b1-9555-57bb373b2138 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 66
Source-reported events for the cited work
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Observation ff7d31f3-10b2-4954-93d7-4dbf2c9df290 · outbound
Multiple data-driven missing imputation and Samad, M.D
Reference 67
Source-reported events for the cited work
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Observation d8f81dc3-3b12-4ace-9bd3-0115a7d99884 · outbound
Multiple data-driven missing imputation H., Park, Y
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e0d599b8-ff82-4579-bf28-7887cf18db97 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 69
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbfd5720-4bd4-439c-9b62-5da05ab579df · outbound
Multiple data-driven missing imputation A statistical learning framework for the intelligent imputation of offshore wind farm missing SCADA data
Reference 70
Source-reported events for the cited work
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Observation 1096d638-9b81-4740-b17f-40f66fb33164 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d5804b74-d2c5-457a-bbc7-cb36ee392c30 · outbound
Multiple data-driven missing imputation C.P.; Jiang, F.; Chen, W.; Wang, M.; Zhai
Reference 72
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96be179d-4a78-4b6d-ab57-82ce152b3810 · outbound
Multiple data-driven missing imputation and Akbar, M.I
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9b794435-4482-4165-998e-a95f3c9379ba · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 74
Source-reported events for the cited work
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Observation 09e289b1-5b5f-43a4-a146-5304eb3307ed · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d6ea3d6f-502b-4fe5-a31f-153835b40ccb · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e9ff91d-7b78-42da-ad87-00073d37280b · outbound
Multiple data-driven missing imputation , Mikheev, I
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d9e38fd4-db06-4da9-8f0a-ffd167649bb5 · outbound
Multiple data-driven missing imputation and Askounis, D
Reference 78
Source-reported events for the cited work
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Observation deffc757-7c55-479d-bf25-7083429af02f · outbound
Multiple data-driven missing imputation A novel wind turbine data imputation method with multiple optimizations based on GANs
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 154af5c0-4027-4421-9f93-59d4e0356081 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 80
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f79e7484-3d16-41ad-8cdd-57aab702b1f8 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5ff92226-db45-46a8-aa2d-18a1a301a7ef · outbound
Multiple data-driven missing imputation Simulation of exchange processes in multi-component environments with account of data uncertainty
Reference 82
Source-reported events for the cited work
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Observation 2f2796aa-65a3-4d1c-9e4d-dc0c4e78baa0 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 83
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 62533e28-4cea-4cdf-b1d9-3660a5ae70a1 · outbound
Multiple data-driven missing imputation and Trubitsyna, I
Reference 84
Source-reported events for the cited work
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Observation ef7695fd-f4e6-4f47-845a-abfc4d57f5de · outbound
Multiple data-driven missing imputation Blomberg, Orlin S
Reference 85
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fcc9177b-5934-4665-9748-7925d559f2b8 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fde6813b-a6ae-48bf-898e-b06226a4fe30 · outbound
Multiple data-driven missing imputation (2024) Applications: Imputation of Missing Hydrometeorological Data
Reference 87
Source-reported events for the cited work
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Observation f48477c3-70f8-482b-9d85-238ce51bbc14 · outbound
Multiple data-driven missing imputation and Singh, D.P
Reference 88
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b498cd67-1697-478b-a4c3-9577af2f449f · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 90
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4bd96c7-d159-4d61-b4ca-60c04d1b5329 · outbound
Multiple data-driven missing imputation Unresolved cited work
Reference 91
Source-reported events for the cited work
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Multiple data-driven missing imputation 2018 Scada Data of a Wind Turbine in Turkey
Reference 92
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Multiple data-driven missing imputation E., Halvorson, M., King, K
Reference 93
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Multiple data-driven missing imputation A Graph-Based Approach for Missing Sensor Data Imputation,
Reference 94
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Reference 96
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Reference 97
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Reference 98
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Multiple data-driven missing imputation Unresolved cited work
Reference 443
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Observation 10c4d71c-440d-409b-bd0c-caf51effe283 · inbound
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Reference 25
Source-reported events for the cited work
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