Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:42:27.498936Z
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 14 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:10.277140Z
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
- verified exact3
- verified fuzzy15
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch0
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.848116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.834104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.819582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.805720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.791889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T19:42:27.762348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified exact
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:42:27.453490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.704058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:42:27.467218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.688565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:42:27.673385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified exact
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:18:10.277140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:11:24.521630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.