Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:00.270202Z
Paper Citation Record · LEDGER
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
As of 18 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 1 inbound Pith citation observation for arXiv:2505.22632.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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Reference resolution
86 of 86 outbound references displayed
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External citation measurements
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Outbound references
Observation 1475343d-bfe9-43df-826d-21e18b4c90cb · outbound
This paper cites write newline.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift write newline
Reference 1
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This paper cites M., Toni, L., and Rodrigues, M.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift M., Toni, L., and Rodrigues, M
Reference 2
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This paper cites N., Bates, S., Fannjiang, C., Jordan, M.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift N., Bates, S., Fannjiang, C., Jordan, M
Reference 3
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This paper cites PPI++: Efficient Prediction-Powered Inference.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift PPI++: Efficient Prediction-Powered Inference
Reference 4
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This paper cites W., and Kang, H.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift W., and Kang, H
Reference 5
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This paper cites Using Experiments to Correct for Selection in Observational Studies.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Using Experiments to Correct for Selection in Observational Studies
Reference 6
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This paper cites D., Sklar, M., Berk, R., Buja, A., and Zhao, L.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift D., Sklar, M., Berk, R., Buja, A., and Zhao, L
Reference 7
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Observation e7fcc4a1-5426-402f-a508-8e30bb8c561a · outbound
This paper cites Dual and anti-dual modes in dielectric spheres.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Dual and anti-dual modes in dielectric spheres
Reference 8
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Observation 24e4ab99-7c38-4263-9d41-381e27157967 · outbound
This paper cites J., Klaassen, J., Ritov, Y., and Wellner, J.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift J., Klaassen, J., Ritov, Y., and Wellner, J
Reference 9
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Models as approximations i: consequences illustrated with linear regression
Reference 10
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 11
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Reference 12
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This paper cites J., Ruppert, D., Stefanski, L.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift J., Ruppert, D., Stefanski, L
Reference 13
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Reference 14
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Semi-supervised learning
Reference 15
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and White, H
Reference 16
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This paper cites N., and Cai, T.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift N., and Cai, T
Reference 17
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Double/debiased machine learning for treatment and structural parameters: Double/debiased machine learning
Reference 18
- Resolution
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This paper cites Applied Causal Inference Powered by ML and AI.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Applied Causal Inference Powered by ML and AI
Reference 19
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift A Computational Approach to Politeness with Application to Social Factors
Reference 20
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Optimal and safe estimation for high-dimensional semi-supervised learning
Reference 21
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 22
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 23
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Kennedy, E
Reference 24
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift On the Role of Surrogates in Conformal Inference of Individual Causal Effects
Reference 25
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift A unified view of label shift estimation
Reference 26
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Reference 27
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Covariate shift by kernel mean matching
Reference 28
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift R., and Cheng, D
Reference 29
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Label correction of crowdsourced noisy annotations with an instance-dependent noise transition model
Reference 30
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Top challenges from the first practical online controlled experiments summit
Reference 31
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Demystifying statistical learning based on efficient influence functions
Reference 32
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Surrogate assisted semi-supervised inference for high dimensional risk prediction
Reference 33
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Correcting sample selection bias by unlabeled data
Reference 34
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Newey, W
Reference 35
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Long-term causal inference under persistent confounding via data combination
Reference 36
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Maximum mean discrepancy for class ratio estimation: Convergence bounds and kernel selection
Reference 37
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
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Reference 39
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Retasa: A nonparametric functional estimation approach for addressing continuous target shift
Reference 42
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Semi-supervised regression: A recent review
Reference 43
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 44
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Martinet, G
Reference 45
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Sch \"o lkopf, B
Reference 46
- Resolution
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Observation 3a40a25b-0c00-4ff1-898d-5fc9aea8e026 · outbound
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Doubly flexible estimation under label shift
Reference 47
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift T., Bost, S., Lyu, T., Wu, Y., Hogan, W., Prosperi, M., et al
Reference 48
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Provably end-to-end label-noise learning without anchor points
Reference 49
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Detecting and correcting for label shift with black box predictors
Reference 50
- Resolution
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Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Identifiability of label noise transition matrix
Reference 51
- Resolution
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Observation 614dcbea-0741-4efb-b275-6aa89148ac30 · outbound
This paper cites Improved estimators for semi-supervised high-dimensional regression model.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Improved estimators for semi-supervised high-dimensional regression model
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:07.810200Z
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.
Observation 1ad91ded-ba46-4338-8fb0-cab244486610 · outbound
This paper cites Assumption-Lean and Data-Adaptive Post-Prediction Inference.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Assumption-Lean and Data-Adaptive Post-Prediction Inference
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22079857-40d8-4b6f-afca-0cb16b787ff0 · outbound
This paper cites Valid inference for machine learning-assisted genome-wide association studies.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Valid inference for machine learning-assisted genome-wide association studies
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:07.669843Z
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.
Observation dd92e72c-e0bd-46e4-8723-a36f540b033e · outbound
This paper cites and Witten, D.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Witten, D
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:07.491522Z
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.
Observation cc582403-d2cf-4f1e-876c-1d6df6a76948 · outbound
This paper cites D., Christoffel, M., and Sugiyama, M.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift D., Christoffel, M., and Sugiyama, M
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:07.308816Z
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.
Observation 5d86f843-4eec-4c5e-b011-ecc18e1835d9 · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:07.038202Z
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.
Observation d8af5d15-5e68-44bc-8337-62bcc28a4e28 · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:06.773342Z
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.
Observation 19eeec35-9fc3-4bd6-ae83-9a6475439af7 · outbound
This paper cites Generalization error bounds in semi-supervised classification under the cluster assumption.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Generalization error bounds in semi-supervised classification under the cluster assumption
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:06.533732Z
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.
Observation 6fcddadc-10b5-4191-88aa-47bcfd93c3ad · outbound
This paper cites In all likelihoods: Robust selection of pseudo-labeled data.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift In all likelihoods: Robust selection of pseudo-labeled data
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:06.305642Z
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.
Observation bd703f8a-1978-4dd1-8efb-e70464fece93 · outbound
This paper cites On causal and anticausal learning.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift On causal and anticausal learning
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:06.138288Z
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.
Observation 0814729a-2a66-4d88-a29d-972de488cc32 · outbound
This paper cites A rate of convergence for mixture proportion estimation, with application to learning from noisy labels.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift A rate of convergence for mixture proportion estimation, with application to learning from noisy labels
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:05.891635Z
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.
Observation 3bf69dd6-fbb8-478c-9d1d-40718a07d29b · outbound
This paper cites Improving predictive inference under covariate shift by weighting the log-likelihood function.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Improving predictive inference under covariate shift by weighting the log-likelihood function
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:05.675406Z
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.
Observation be8b39ef-b456-4222-aacc-d3b71057635d · outbound
This paper cites A general m-estimation theory in semi-supervised framework.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift A general m-estimation theory in semi-supervised framework
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:05.491797Z
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.
Observation 1ba23859-04a7-4562-b850-3ad7c4cb6bb9 · outbound
This paper cites and Cowie, C.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Cowie, C
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:05.261376Z
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.
Observation 2dc105a1-ffd7-4ecc-841a-d52144173741 · outbound
This paper cites When training and test sets are different: characterizing learning transfer.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift When training and test sets are different: characterizing learning transfer
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:05.038205Z
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.
Observation 212b2692-1181-4fd3-970b-a018c27b2899 · outbound
This paper cites and Kawanabe, M.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Kawanabe, M
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:04.820024Z
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.
Observation 2eb5083a-b75a-419d-a067-94491b81dc9b · outbound
This paper cites Direct importance estimation for covariate shift adaptation.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Direct importance estimation for covariate shift adaptation
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:04.527737Z
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.
Observation a18133ea-ea1d-47d9-8a5d-373385f2c7fc · outbound
This paper cites Fisher consistency for prior probability shift.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Fisher consistency for prior probability shift
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:04.359187Z
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.
Observation b6a5e29c-d47a-4fe5-a83b-c9706694135e · outbound
This paper cites Elsa: Efficient label shift adaptation through the lens of semiparametric models.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Elsa: Efficient label shift adaptation through the lens of semiparametric models
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:04.173028Z
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.
Observation a6585666-25e6-4127-b09f-9be0c6a6747a · outbound
This paper cites Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:12:00.561495Z
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.
Observation 96a440a4-b54a-4056-b800-51fa2a5695a0 · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:03.972088Z
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.
Observation df33d49d-1ce9-4889-b29f-8a83b14c858e · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:03.721176Z
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.
Observation 35fcd89b-d472-43b4-af08-c17d160a6f13 · outbound
This paper cites J., Polley, E.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift J., Polley, E
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:03.541584Z
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.
Observation 43f64d25-2fe7-4fec-9fb5-1b05e713540a · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:03.357832Z
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.
Observation 19d2bd4e-cae0-49ae-bb44-2394af21b441 · outbound
This paper cites Adaptive Concentration of Regression Trees, with Application to Random Forests.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Adaptive Concentration of Regression Trees, with Application to Random Forests
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:59.280215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d67089b-380c-451c-bb71-68d49a130d6a · outbound
This paper cites H., and Leek, J.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift H., and Leek, J
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:03.058432Z
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.
Observation b17fd698-2ba3-4236-9e19-6433a0eb8437 · outbound
This paper cites Usb: A unified semi-supervised learning benchmark for classification.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Usb: A unified semi-supervised learning benchmark for classification
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:02.837813Z
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.
Observation a2391b80-e3de-4969-ae9f-ed594ba49a1b · outbound
This paper cites and Lafferty, J.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Lafferty, J
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:02.707271Z
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.
Observation 50ab7d85-b0aa-42e7-956f-266676135696 · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 80
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:02.527777Z
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.
Observation 991de84e-38ef-4dca-9d61-a9cfbc9bcff8 · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:02.217674Z
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.
Observation e40f7f6a-8843-409f-9105-7b382974d7f8 · outbound
This paper cites D., and Cai, T.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift D., and Cai, T
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:59.896028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c8b772f-56ce-46b8-9934-fa7400f23693 · outbound
This paper cites Domain adaptation under target and conditional shift.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Domain adaptation under target and conditional shift
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:01.983615Z
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.
Observation 85aa99f3-c52f-4a26-af7d-5156a6064ea9 · outbound
This paper cites Evaluating the Surrogate Index as a Decision-Making Tool Using 200 A/B Tests at Netflix.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Evaluating the Surrogate Index as a Decision-Making Tool Using 200 A/B Tests at Netflix
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:00.097395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c628a8d2-3a12-4fd4-8993-dbc96aab7f22 · outbound
This paper cites and Bradic, J.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift and Bradic, J
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:12:01.731510Z
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.
Observation d58ae6fc-be8f-43e1-af93-c92c6e37dfcd · outbound
This paper cites an unresolved cited work.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Unresolved cited work
Reference 86
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:12:01.469392Z
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.
Pith citing papers
Observation a762a85b-f33f-469d-8693-16ab28ad087f · inbound
Towards Efficient Inference under Nonmonotone Missingness with General Imputation cites this paper.
Towards Efficient Inference under Nonmonotone Missingness with General Imputation Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:44:24.009878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.