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Paper Citation Record · LEDGER

Longitudinal weighted and trimmed treatment effects with flip interventions

As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 3 inbound Pith citation observations for arXiv:2506.09188.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.09188 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

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measured 69 of 69 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:34:33.447626Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d2d6f483-c963-436e-ae70-0dd124970834 · outbound

This paper cites Insights into the cross-world independence assumption of causal mediation analysis.

Longitudinal weighted and trimmed treatment effects with flip interventions Insights into the cross-world independence assumption of causal mediation analysis

Reference 1

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Observation ee1e571e-e091-4d99-a147-667d39389a8f · outbound

This paper cites Efficient and adaptive estimation for semiparametric models, volume 4.

Longitudinal weighted and trimmed treatment effects with flip interventions Efficient and adaptive estimation for semiparametric models, volume 4

Reference 2

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Observation 28858f2c-5d0a-44a6-bc19-5393e39cee98 · outbound

This paper cites Incremental causal effects: an introduction and review.

Longitudinal weighted and trimmed treatment effects with flip interventions Incremental causal effects: an introduction and review

Reference 3

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Observation c4b27f5f-e209-431f-8743-524dd6a55258 · outbound

This paper cites Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments.

Longitudinal weighted and trimmed treatment effects with flip interventions Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments

Reference 4

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Observation e4572944-0b20-48b0-8c07-d70edc67d0a8 · outbound

This paper cites Debiased machine learning without sample-splitting for stable estimators.

Longitudinal weighted and trimmed treatment effects with flip interventions Debiased machine learning without sample-splitting for stable estimators

Reference 5

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Observation 0a83a53f-f52a-4c47-bd9b-7b79002fa4e4 · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Longitudinal weighted and trimmed treatment effects with flip interventions Double/debiased machine learning for treatment and structural parameters

Reference 6

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Observation 483f1ff6-7061-4cd2-a2b0-f1a13e201d7a · outbound

This paper cites Balancing weights for causal inference.

Longitudinal weighted and trimmed treatment effects with flip interventions Balancing weights for causal inference

Reference 7

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Observation 25a9c681-05a5-4d3b-8286-fa646503669b · outbound

This paper cites Dealing with limited overlap in estimation of average treatment effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Dealing with limited overlap in estimation of average treatment effects

Reference 8

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Observation 23638f27-a3f9-4b8e-bb39-fb1e52a11ef2 · outbound

This paper cites Population intervention causal effects based on stochastic interventions.

Longitudinal weighted and trimmed treatment effects with flip interventions Population intervention causal effects based on stochastic interventions

Reference 9

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Observation 5fe09835-2d77-4615-9d06-96554f473745 · outbound

This paper cites Nonparametric causal effects based on longitudinal modified treatment policies.

Longitudinal weighted and trimmed treatment effects with flip interventions Nonparametric causal effects based on longitudinal modified treatment policies

Reference 10

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Observation b4b11be1-2851-4dcb-bbb8-3108cdd85154 · outbound

This paper cites A distribution-free theory of nonparametric regression, volume 1.

Longitudinal weighted and trimmed treatment effects with flip interventions A distribution-free theory of nonparametric regression, volume 1

Reference 11

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Observation 2ab9f667-31d0-48b5-aa4e-6a9e3782b818 · outbound

This paper cites Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies.

Longitudinal weighted and trimmed treatment effects with flip interventions Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies

Reference 12

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Observation 33c29201-5122-4447-8788-cd056b6a0d68 · outbound

This paper cites Estimation of the effect of interventions that modify the received treatment.

Longitudinal weighted and trimmed treatment effects with flip interventions Estimation of the effect of interventions that modify the received treatment

Reference 13

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Observation 2a2c0447-155d-405a-924d-8c657ca313d3 · outbound

This paper cites Policy-relevant treatment effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Policy-relevant treatment effects

Reference 14

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Observation 0cc7d2db-2051-4039-9909-c4cd50ae9e42 · outbound

This paper cites Structural equations, treatment effects, and econometric policy evaluation 1.

Longitudinal weighted and trimmed treatment effects with flip interventions Structural equations, treatment effects, and econometric policy evaluation 1

Reference 15

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Observation 00479073-6477-4ef8-ad8d-a5a1084648fc · outbound

This paper cites Causal Inference: What if.

Longitudinal weighted and trimmed treatment effects with flip interventions Causal Inference: What if

Reference 16

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Observation c80f0e95-ae74-4bdd-8be4-c0f69ca9f45a · outbound

This paper cites Robust estimation of inverse probability weights for marginal structural models.

Longitudinal weighted and trimmed treatment effects with flip interventions Robust estimation of inverse probability weights for marginal structural models

Reference 17

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Observation 87f12ad1-d725-4830-ba0d-629455e53e50 · outbound

This paper cites Identification and responses to positivity violations in longitudinal studies: an illustration based on invasively mechanically ventilated icu patients.

Longitudinal weighted and trimmed treatment effects with flip interventions Identification and responses to positivity violations in longitudinal studies: an illustration based on invasively mechanically ventilated icu patients

Reference 18

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Observation 90d0b283-2a32-43d3-a11e-27ae7933e445 · outbound

This paper cites Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data.

Longitudinal weighted and trimmed treatment effects with flip interventions Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data

Reference 19

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Observation e1991452-d637-4fd4-88ee-9adfb46fbeff · outbound

This paper cites Semiparametric counterfactual density estimation.

Longitudinal weighted and trimmed treatment effects with flip interventions Semiparametric counterfactual density estimation

Reference 20

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This paper cites Nonparametric causal effects based on incremental propensity score interventions.

Longitudinal weighted and trimmed treatment effects with flip interventions Nonparametric causal effects based on incremental propensity score interventions

Reference 21

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Observation 650e7371-bce9-4884-bb34-0f68c3361b08 · outbound

This paper cites Towards optimal doubly robust estimation of heterogeneous causal effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Towards optimal doubly robust estimation of heterogeneous causal effects

Reference 22

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Observation 752161da-b887-4042-bcb6-dae4b8f371f7 · outbound

This paper cites Non-parametric methods for doubly robust estimation of continuous treatment effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Non-parametric methods for doubly robust estimation of continuous treatment effects

Reference 23

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Observation 38ffb3b5-c506-46fe-b711-1d4efa2ea633 · outbound

This paper cites Sharp instruments for classifying compliers and generalizing causal effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Sharp instruments for classifying compliers and generalizing causal effects

Reference 24

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Observation 5c04f4cd-23b6-453f-b00e-cbb3912bd183 · outbound

This paper cites Doubly-robust and heteroscedasticity-aware sample trimming for causal inference.

Longitudinal weighted and trimmed treatment effects with flip interventions Doubly-robust and heteroscedasticity-aware sample trimming for causal inference

Reference 25

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Longitudinal weighted and trimmed treatment effects with flip interventions Stochastic interventions, sensitivity analysis, and optimal transport

Reference 26

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Observation 615c1a6f-1283-415f-bba6-18463300f76f · outbound

This paper cites Propensity score weighting for causal inference with multiple treatments.

Longitudinal weighted and trimmed treatment effects with flip interventions Propensity score weighting for causal inference with multiple treatments

Reference 27

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Longitudinal weighted and trimmed treatment effects with flip interventions Balancing covariates via propensity score weighting

Reference 28

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This paper cites Sequential Double Robustness in Right-Censored Longitudinal Models.

Longitudinal weighted and trimmed treatment effects with flip interventions Sequential Double Robustness in Right-Censored Longitudinal Models

Reference 29

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Longitudinal weighted and trimmed treatment effects with flip interventions Nonparametric estimation of conditional incremental effects

Reference 30

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Observation 6a78f9aa-760e-466b-b8d6-c52704396029 · outbound

This paper cites Fair comparisons of causal parameters with many treatments and positivity violations.

Longitudinal weighted and trimmed treatment effects with flip interventions Fair comparisons of causal parameters with many treatments and positivity violations

Reference 31

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This paper cites Causal inference in epidemiological studies with strong confounding.

Longitudinal weighted and trimmed treatment effects with flip interventions Causal inference in epidemiological studies with strong confounding

Reference 32

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Observation 5e81b78b-62ec-48de-93a5-2598cb9952ef · outbound

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Longitudinal weighted and trimmed treatment effects with flip interventions Causality

Reference 33

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Longitudinal weighted and trimmed treatment effects with flip interventions Diagnosing and responding to violations in the positivity assumption

Reference 34

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Observation 182f5e03-1e09-4ecd-b524-456b6618d068 · outbound

This paper cites SuperLearner: Super Learner Prediction, 2024.

Longitudinal weighted and trimmed treatment effects with flip interventions SuperLearner: Super Learner Prediction, 2024

Reference 35

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Observation 1807a7d3-6f67-4299-a273-520b81fb17ff · outbound

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Longitudinal weighted and trimmed treatment effects with flip interventions R: A Language and Environment for Statistical Computing

Reference 36

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Observation ffa527f4-131b-48e4-8830-26d559b1744d · outbound

This paper cites Single world intervention graphs (swigs): A unification of the counterfactual and graphical approaches to causality.

Longitudinal weighted and trimmed treatment effects with flip interventions Single world intervention graphs (swigs): A unification of the counterfactual and graphical approaches to causality

Reference 37

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Observation b94753ff-9c8b-4eb2-a95b-a2e8efa30bfa · outbound

This paper cites A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect.

Longitudinal weighted and trimmed treatment effects with flip interventions A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

Reference 38

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source=arxiv_source observed=2026-08-07T05:00:11.761776Z digest=sha256:92939c367954ef961a5c32653059345758bbd59e4418b6032496d4b03dc7096a

Observation 16a4316b-149e-41df-84b8-a8ec1e57e73c · outbound

This paper cites Higher order influence functions and minimax estimation of nonlinear functionals.

Longitudinal weighted and trimmed treatment effects with flip interventions Higher order influence functions and minimax estimation of nonlinear functionals

Reference 39

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raw_fallback, observed 2026-08-07T05:00:13.319536Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:00:11.766324Z digest=sha256:093c18d0f724fbbae2079baf8d94e2bb28a7f82b621c0ed64c914a1bbf46645d

Observation 17bab0c8-3e2e-4060-9571-90afa0ae5a77 · outbound

This paper cites Effects of multiple interventions.

Longitudinal weighted and trimmed treatment effects with flip interventions Effects of multiple interventions

Reference 40

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source=arxiv_source observed=2026-08-07T05:00:11.771265Z digest=sha256:f3f996f7d8b03efbee7351b05558460c41ebb2c17c4f2f8787adae2ae7bfd447

Observation a78cee1b-1eff-40da-af4e-cb5b4042ec10 · outbound

This paper cites On the multiply robust estimation of the mean of the g-functional.

Longitudinal weighted and trimmed treatment effects with flip interventions On the multiply robust estimation of the mean of the g-functional

Reference 41

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source=arxiv_source observed=2026-08-07T05:00:11.777246Z digest=sha256:23b70e63f0a78ba413aef78ab10e0a938521d84a45177a2ca600fe29d93a6ac8

Observation 3e6717de-be7e-4199-93de-23305892ada5 · outbound

This paper cites Characterization of parameters with a mixed bias property.

Longitudinal weighted and trimmed treatment effects with flip interventions Characterization of parameters with a mixed bias property

Reference 42

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source=arxiv_source observed=2026-08-07T05:00:11.784805Z digest=sha256:c7cfae83ccd695ac41240dd90545d6f815528ae614107034e0366117ec192d67

Observation fadb5086-c0e8-49d4-97b2-82d62a37ba1b · outbound

This paper cites A doubly robust censoring unbiased transformation.

Longitudinal weighted and trimmed treatment effects with flip interventions A doubly robust censoring unbiased transformation

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T05:00:13.268338Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:00:11.788949Z digest=sha256:837385f399c4ca4236fc54779a7e5b5d4874eb68fcdb1dff4c3f15ba0df2998c

Observation 6e99d0bb-54d7-4a0e-af14-230b138ceb5a · outbound

This paper cites Incremental effects for continuous exposures.

Longitudinal weighted and trimmed treatment effects with flip interventions Incremental effects for continuous exposures

Reference 44

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source=arxiv_source observed=2026-08-07T05:00:11.797014Z digest=sha256:9563692347def682f965b24a7b7841ce46a8c8253b3716ccc3f0b939c9ebd063

Observation b987139a-d5e3-47b2-83a7-14293eb11c76 · outbound

This paper cites Introductory Econometrics: A Modern Approach, 7e.

Longitudinal weighted and trimmed treatment effects with flip interventions Introductory Econometrics: A Modern Approach, 7e

Reference 45

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source=arxiv_source observed=2026-08-07T05:00:11.804631Z digest=sha256:eab015c68bf270926ab2349c6d29780f7e4a12cc109917a2d307b39af0c41a32

Observation bbc6020b-d566-442f-9576-7c90e7c9071e · outbound

This paper cites Optimal regimes for algorithm-assisted human decision-making.

Longitudinal weighted and trimmed treatment effects with flip interventions Optimal regimes for algorithm-assisted human decision-making

Reference 46

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raw_fallback, observed 2026-08-07T05:00:13.242192Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.808902Z digest=sha256:fbff2bebf6a779d0985398643229498b3fe2a4e3f9ffeabf3f496b6fdf84c730

Observation 461e75cb-04b6-4ffa-aedb-8c0cd5effba6 · outbound

This paper cites Nonparametric policy analysis.

Longitudinal weighted and trimmed treatment effects with flip interventions Nonparametric policy analysis

Reference 47

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source=arxiv_source observed=2026-08-07T05:00:11.814382Z digest=sha256:2089cd1690935ff7452d60f4c091f6da6db5e6e54c5ac902d77b16ba62d8531e

Observation 2df54cb6-1735-43f9-8145-bdc83d235104 · outbound

This paper cites Intervening on risk factors for coronary heart disease: an application of the parametric g-formula.

Longitudinal weighted and trimmed treatment effects with flip interventions Intervening on risk factors for coronary heart disease: an application of the parametric g-formula

Reference 48

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raw_fallback, observed 2026-08-07T05:00:13.212176Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.819121Z digest=sha256:111f5a3136b1b387de906f9844ad4920efdfb65146f77046cf0786d7780f0058

Observation 1faa947a-8d6b-48a5-852d-ceaabf1ca0d4 · outbound

This paper cites On causal inference in the presence of interference.

Longitudinal weighted and trimmed treatment effects with flip interventions On causal inference in the presence of interference

Reference 49

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source=arxiv_source observed=2026-08-07T05:00:11.824590Z digest=sha256:00901027e72833216229c8d65ca3699ef07932c58d7232f595c12376eca67e1c

Observation 7905d8ba-24a1-4a59-a413-d3254d03d995 · outbound

This paper cites rpart: Recursive Partitioning and Regression Trees, 2023.

Longitudinal weighted and trimmed treatment effects with flip interventions rpart: Recursive Partitioning and Regression Trees, 2023

Reference 50

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no resolver link, observed 2026-08-07T05:00:11.829140Z

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source=arxiv_source observed=2026-08-07T05:00:11.829140Z digest=sha256:915acef60aa597c0b6d94dcf00c6da8b651efb7b911a220c9cd66193f3a1ae5e

Observation 33035e24-80e9-4e15-a0ef-8cab3c88836f · outbound

This paper cites Semiparametric theory and missing data, volume 4.

Longitudinal weighted and trimmed treatment effects with flip interventions Semiparametric theory and missing data, volume 4

Reference 51

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source=arxiv_source observed=2026-08-07T05:00:11.834252Z digest=sha256:f4a473994b3ed272e62df85ff4abf3ba8c62fcad2eebb57feebb72015d92657f

Observation a9f248f5-3e62-4c7c-9582-e0237346c2e5 · outbound

This paper cites Causal effect models for realistic individualized treatment and intention to treat rules.

Longitudinal weighted and trimmed treatment effects with flip interventions Causal effect models for realistic individualized treatment and intention to treat rules

Reference 52

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source=arxiv_source observed=2026-08-07T05:00:11.841538Z digest=sha256:4bd7785acea90a2c3905007fecb3af701ff9a309bca719031e0f6bfb4841a8e0

Observation 115e9eef-c361-40ec-a32c-475f59abdae7 · outbound

This paper cites Asymptotic statistics, volume 3.

Longitudinal weighted and trimmed treatment effects with flip interventions Asymptotic statistics, volume 3

Reference 53

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source=arxiv_source observed=2026-08-07T05:00:11.846622Z digest=sha256:7a4a29f73e8be70ceffb9b3a6b4b85dec907ddbee724508391d8ac0fc63d1a6b

Observation 73e170c9-c14a-45b0-a1f5-a2d690bd9e9f · outbound

This paper cites Weak convergence and empirical processes.

Longitudinal weighted and trimmed treatment effects with flip interventions Weak convergence and empirical processes

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-07T05:00:13.135000Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.851185Z digest=sha256:545a147a43796c5815cd7f04f1f0c40141706107e6cd72256a6842b4e1915a1f

Observation ccd4e05c-317f-488a-9e60-44ac99922abc · outbound

This paper cites On model selection and model misspecification in causal inference.

Longitudinal weighted and trimmed treatment effects with flip interventions On model selection and model misspecification in causal inference

Reference 55

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raw_fallback, observed 2026-08-07T05:00:13.119970Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.855669Z digest=sha256:66feb27aceefc9e0cebccdd0b9b01e46175981a6c41cfb101e9b5b3173e78f4d

Observation 1a2d92a0-beb8-49bd-9a29-da5e15a2ecf8 · outbound

This paper cites Whose wages do unions raise? a dynamic model of unionism and wage rate determination for young men.

Longitudinal weighted and trimmed treatment effects with flip interventions Whose wages do unions raise? a dynamic model of unionism and wage rate determination for young men

Reference 56

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source=arxiv_source observed=2026-08-07T05:00:11.860172Z digest=sha256:af40aa4804402b78817fbed54a3e17537828d865e874a095c9f740e4e2abc7a9

Observation 14ab6b07-a36a-4545-acff-f095c061da7b · outbound

This paper cites Dynamic covariate balancing: estimating treatment effects over time.

Longitudinal weighted and trimmed treatment effects with flip interventions Dynamic covariate balancing: estimating treatment effects over time

Reference 57

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source=arxiv_source observed=2026-08-07T05:00:11.864587Z digest=sha256:6cd6706f318ad8c65837a112df1fcbb2af2da2fd4cf4cd2a0298de143dae261d

Observation ded2f16e-eeec-455b-ae80-37dde9e08183 · outbound

This paper cites On the asymptotic distribution of differentiable statistical functions.

Longitudinal weighted and trimmed treatment effects with flip interventions On the asymptotic distribution of differentiable statistical functions

Reference 58

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source=arxiv_source observed=2026-08-07T05:00:11.868765Z digest=sha256:97b026a65dc310a9f501007cae9366640ef9ec97fbcb0d2a524c3c15f8d2a377

Observation 8529f0f5-f5ec-4749-9263-abf01e961713 · outbound

This paper cites Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis.

Longitudinal weighted and trimmed treatment effects with flip interventions Intervention treatment distributions that depend on the observed treatment process and model double robustness in causal survival analysis

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-07T05:00:13.079502Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.873614Z digest=sha256:cb1b90797d9b25b16fef23c195c1637596bedf0debf8414641f72d97c05c7fe0

Observation 6ddeaf58-7944-4e6b-9c1f-7c818dae74c7 · outbound

This paper cites lmtp: An r package for estimating the causal effects of modified treatment policies.

Longitudinal weighted and trimmed treatment effects with flip interventions lmtp: An r package for estimating the causal effects of modified treatment policies

Reference 60

Resolution
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raw_fallback, observed 2026-08-07T05:00:13.060582Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.878230Z digest=sha256:7e12d164a68883beab8d952f2d51bcc1464e9f3dcb520d678aa1ac6bd1344eca

Observation 98439528-bdf5-46eb-a619-782f495d9bda · outbound

This paper cites Wright and Andreas Ziegler.

Longitudinal weighted and trimmed treatment effects with flip interventions Wright and Andreas Ziegler

Reference 61

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source=arxiv_source observed=2026-08-07T05:00:11.883267Z digest=sha256:76dbd454e456cd8314894966c7c8045b3decbe8740c5f1e75cac2f8bb15375ea

Observation 7b6544e9-9e9b-47a8-8d1a-874c0a370ba1 · outbound

This paper cites Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores.

Longitudinal weighted and trimmed treatment effects with flip interventions Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores

Reference 62

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raw_fallback, observed 2026-08-07T05:00:13.041058Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.887943Z digest=sha256:607fc166ee274d8e8cfcb711209d7e6c2963caf979ad35e867b4a28753f2c9c7

Observation 026dd3d5-5c81-435a-a617-b8252185f406 · outbound

This paper cites Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data.

Longitudinal weighted and trimmed treatment effects with flip interventions Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data

Reference 63

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source=arxiv_source observed=2026-08-07T05:00:11.892067Z digest=sha256:b61cb31fbe000ce9bc79c77c2122cd06daab078ec4b412328fdce7dccb9b733d

Observation 04cf741d-a87a-4547-9e6b-279b8f34dd92 · outbound

This paper cites Propensity score weighting analysis of survival outcomes using pseudo-observations.

Longitudinal weighted and trimmed treatment effects with flip interventions Propensity score weighting analysis of survival outcomes using pseudo-observations

Reference 64

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source=arxiv_source observed=2026-08-07T05:00:11.896137Z digest=sha256:aa430c912b74f719c792dfa138f044d6b0ec8fd4a77435345b4193ca65b98df8

Observation 57f26c88-2dc5-4a85-9089-d3e8be6caebe · outbound

This paper cites Asymptotic theory for cross-validated targeted maximum likelihood estimation.

Longitudinal weighted and trimmed treatment effects with flip interventions Asymptotic theory for cross-validated targeted maximum likelihood estimation

Reference 65

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raw_fallback, observed 2026-08-07T05:00:12.994934Z

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.

source=arxiv_source observed=2026-08-07T05:00:11.900605Z digest=sha256:a0b4e8edd594517dbae1216c5118f2c35e002c0e14774dd4b7e613f06aa36dfd

Observation 07b683ee-16b0-41c6-b113-959c43858ec2 · outbound

This paper cites Marginal interventional effects.

Longitudinal weighted and trimmed treatment effects with flip interventions Marginal interventional effects

Reference 66

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:00:11.906386Z digest=sha256:87ffb2ae5a5838a9a6571fe2c255a9aa4718c7c949e3e5e7bb1a76ab9d0b92cb

Pith citing papers

Observation 480597b0-1657-49e1-9b67-ce568c8cdd9a · inbound

Propensity score weighting across counterfactual worlds: longitudinal effects under positivity violations cites this paper.

Propensity score weighting across counterfactual worlds: longitudinal effects under positivity violations Longitudinal weighted and trimmed treatment effects with flip interventions

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:34:33.447626Z digest=sha256:24d5743e39bf891e43b4ff8ad241022cc88ea68a15f065dde17264b851b3fdc0

Observation 89008db0-f3ca-4602-9955-e9050ce15a3e · inbound

Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes cites this paper.

Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes Longitudinal weighted and trimmed treatment effects with flip interventions

Reference 30

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verified exact
arxiv_id, observed 2026-06-25T21:48:29.826110Z

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.

source=arxiv_source observed=2026-06-25T21:45:48.942154Z digest=sha256:46df6efc57db85fc40f123bbf322007c381cc390c2442c2d2f8896e2f8536f21

Observation 4f124218-2f4b-4bd3-9ca0-048bb230af6c · inbound

Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes cites this paper.

Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes Longitudinal weighted and trimmed treatment effects with flip interventions

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:04.954949Z

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.

source=arxiv_source observed=2026-06-25T21:45:48.942154Z digest=sha256:ee7e76ccbd6cecd16af61b409d1f9ab902594b0ef31b839bd38501e40b1252ef