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Paper Citation Record · LEDGER

Causal inference methods for combining randomized trials and observational studies: a review

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2011.08047.

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

pith.paper-citation-record.v1
2011.08047 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:02:02.760899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.171232Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec656244-3461-4140-9f58-6e82c158a95c · inbound

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration cites this paper.

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration Causal inference methods for combining randomized trials and observational studies: a review

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T06:02:02.760899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:02:02.760899Z digest=sha256:cffa39b35e004a37d4fbaed32e957cc6becc1e2bed1951939f9884af40f7e99e

Observation b4e5132a-52b9-46a6-8843-beaf03d1f928 · inbound

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators cites this paper.

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators Causal inference methods for combining randomized trials and observational studies: a review

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:21:25.703893Z

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=pdf_text observed=2026-05-07T11:21:06.637858Z digest=sha256:ae1141d0bfad28e45e60241407532ea9fca1a577934308405bf39177b983f02e

Observation 2b788e04-f1e3-4b35-97a3-27400246e503 · inbound

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators cites this paper.

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators Causal inference methods for combining randomized trials and observational studies: a review

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T15:21:38.745991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:21:38.745991Z digest=sha256:528ed4e6227227de7cec088be6b835010c234d59d94ce945f4fbf9e7cb3fd497

Observation a27c60e9-ddac-45f5-9650-f6fa505111cf · inbound

Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation cites this paper.

Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation Causal inference methods for combining randomized trials and observational studies: a review

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:26.235968Z

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=2026-05-12T04:38:31.839273Z digest=sha256:6d5f0c5fe4ee363b6ea197019c0f7348e949fd747891ddd847de52d3b7819348

Observation c37e70dd-1805-4aec-a13b-831af8766f86 · inbound

Private Rate-Double-Robust Inference cites this paper.

Private Rate-Double-Robust Inference Causal inference methods for combining randomized trials and observational studies: a review

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:49:38.500837Z

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=2026-06-26T15:16:41.282554Z digest=sha256:6a6934cc37d7781eef2695ec2314db39eaf80ebda21e0646788a5f898ad53e0d

Observation 50e63bc2-fefe-44a2-b05a-9fbe05542f7e · inbound

An Introduction to Causal Reinforcement Learning cites this paper.

An Introduction to Causal Reinforcement Learning Causal inference methods for combining randomized trials and observational studies: a review

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:57.173091Z

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=2026-06-26T00:17:57.091481Z digest=sha256:904082fc13d70930df97b906c10f6509c0e88143dc43c3f72de38f14dc020866

Observation 621c4d9e-50a3-4f74-8ad4-72629a20f2f0 · inbound

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE cites this paper.

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE Causal inference methods for combining randomized trials and observational studies: a review

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-12T07:03:09.673604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:03:09.673604Z digest=sha256:acacf23576d2852238a07e6aec2d8134a45d657f7bf6dc71e92a8d035f77fbe2

Observation 236ee2e2-20d5-4675-bad2-b9d3c5396dc5 · inbound

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE cites this paper.

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE Causal inference methods for combining randomized trials and observational studies: a review

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T09:01:31.774150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:01:31.774150Z digest=sha256:6082ce0edb4ca163f522f4ccaf3c91bba6227551786dd0d760355103a0d4a2f6