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Paper Citation Record · LEDGER

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2502.05363.

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

pith.paper-citation-record.v1
2502.05363 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:42:27.498936Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:10.277140Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

21 of 21 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 503f1e40-3077-4721-8558-a122feb2cf16 · outbound

This paper cites Invited commentary: demystif ying statistical inference when using machine learning in causal research.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Invited commentary: demystif ying statistical inference when using machine learning in causal research

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ac64c0bb-b6b8-4600-beea-79c2c8917ea1 · outbound

This paper cites Double/debiased machine learning fo r treatment and structural parame- ters: Double/debiased machine learning.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Double/debiased machine learning fo r treatment and structural parame- ters: Double/debiased machine learning

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 936f7699-a0a3-43e1-b249-8374179828db · outbound

This paper cites Asymptotic properties of high-dimensional random forests.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Asymptotic properties of high-dimensional random forests

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2593ba40-dccd-42bd-830c-e8c1551663f2 · outbound

This paper cites Double robustness.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Double robustness

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fb658354-29b4-48ac-b0a7-178de91a2aa3 · outbound

This paper cites Machine learning in the estimation of causal effects: targeted minimum loss-based estima- tion and double/debiased machine learning.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Machine learning in the estimation of causal effects: targeted minimum loss-based estima- tion and double/debiased machine learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1899bd4b-b7cf-4022-9def-2225dcde793d · outbound

This paper cites Deep neural n etworks for estimation and infer- ence.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Deep neural n etworks for estimation and infer- ence

Reference 6

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raw_fallback, observed 2026-08-08T19:42:27.776599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 21de4a00-2a8d-405e-9f02-2ed9d1ebfb91 · outbound

This paper cites Causal dia grams for epidemiologic research.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Causal dia grams for epidemiologic research

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 066a2766-3840-431a-b295-a2da79ce08d2 · outbound

This paper cites The influence curve and its role in robust estimat ion.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) The influence curve and its role in robust estimat ion

Reference 8

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raw_fallback, observed 2026-08-08T19:42:27.747778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6f98cf53-35ad-41d3-bc38-be49a743a2a1 · outbound

This paper cites Demystifying statistical learning based on efficie nt influence functions.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Demystifying statistical learning based on efficie nt influence functions

Reference 9

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raw_fallback, observed 2026-08-08T19:42:27.733358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6cbbddda-686d-44b9-94fc-6fa1edf78dd0 · outbound

This paper cites Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning

Reference 10

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local_arxiv, observed 2026-08-08T19:42:27.612156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8a1c54c9-c141-4a60-ac0e-5aad7b5e0b9a · outbound

This paper cites Semiparametric doubly robust targeted double machine learning: a review.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Semiparametric doubly robust targeted double machine learning: a review

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4cf53f58-27b5-41ae-a9e4-3c9c0dd0bb55 · outbound

This paper cites Causal inf erence based on undersmoothing the highly adaptive lasso.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Causal inf erence based on undersmoothing the highly adaptive lasso

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-08T19:42:27.718896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eeb8a31b-864d-4928-8dfd-3b2d1ccb43c7 · outbound

This paper cites Challenges in obtaining valid causal effect estimates with machine learning algorithms.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Challenges in obtaining valid causal effect estimates with machine learning algorithms

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7f34f7cb-376e-4cb0-9baf-df8f7b2faf92 · outbound

This paper cites Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation

Reference 14

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no resolver link, observed 2026-08-08T19:42:27.467218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 50e75f54-fd6b-4a41-b274-641967cde2b5 · outbound

This paper cites Transporting treatment effects from difference-in-differences studies.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Transporting treatment effects from difference-in-differences studies

Reference 15

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verified exact
local_arxiv, observed 2026-08-08T19:42:27.563677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0b0e4edb-4031-4325-a0b7-a9d486683091 · outbound

This paper cites Data, design, and background knowledge in et iologic inference.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Data, design, and background knowledge in et iologic inference

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1bc1312d-aee6-4179-85b3-7d0488c631da · outbound

This paper cites Non-response models for the analysis of non- monotone non-ignorable missing data.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Non-response models for the analysis of non- monotone non-ignorable missing data

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ede89fbe-2da7-44ec-b818-a8f84e042f65 · outbound

This paper cites Leveraging External Validation Data: Th e Challenges of Transporting Mea- surement Error Parameters.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Leveraging External Validation Data: Th e Challenges of Transporting Mea- surement Error Parameters

Reference 18

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raw_fallback, observed 2026-08-08T19:42:27.658114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 75e89d54-3acc-499b-92ac-a66dad6fc038 · outbound

This paper cites Double Robust Variance Estimation with Parametric Working Models.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Double Robust Variance Estimation with Parametric Working Models

Reference 19

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local_arxiv, observed 2026-08-08T19:42:27.542212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0a4ca330-86ec-457e-a17b-cd89555ad853 · outbound

This paper cites Targeted learning: causal inference for observational and experimental data.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Targeted learning: causal inference for observational and experimental data

Reference 20

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raw_fallback, observed 2026-08-08T19:42:27.642291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b78f7525-b3c1-43f4-bbf3-6d11f46aa8b8 · outbound

This paper cites Machine learning for causa l inference: on the use of cross-fit estimators.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Machine learning for causa l inference: on the use of cross-fit estimators

Reference 21

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raw_fallback, observed 2026-08-08T19:42:27.626954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

Observation 8c607c37-2e01-4bb7-802c-c8793867f42e · inbound

Transporting results from a trial to an external target population when trial participation impacts adherence cites this paper.

Transporting results from a trial to an external target population when trial participation impacts adherence Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 1dfa625f-9da8-472c-aea7-d9b8145be93c · inbound

Constructing g-computation estimators: two case studies in selection bias cites this paper.

Constructing g-computation estimators: two case studies in selection bias Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)

Reference 51

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no resolver link, observed 2026-08-07T11:11:24.521630Z

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Unavailable: canonical work link unavailable.

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Observation 83d3be50-02ec-4b75-ad14-9d6dcf59fe7c · inbound

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition cites this paper.

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)

Reference 6

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verified exact
local_arxiv, observed 2026-08-06T17:12:31.316664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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