Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:44:46.070696Z
Paper Citation Record · LEDGER
Finite sample-optimal adjustment sets in linear Gaussian causal models
As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.12869.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact6
- verified fuzzy10
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 10a3a6b8-9966-44ea-9852-eb0f47c22fbd · outbound
This paper cites an unresolved cited work.
Finite sample-optimal adjustment sets in linear Gaussian causal models Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:44:50.367104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 55724c39-6ce3-4c00-8a28-bfe1c8c88d74 · outbound
This paper cites Variable selection for propensity score models.
Finite sample-optimal adjustment sets in linear Gaussian causal models Variable selection for propensity score models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:50.115931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7e4ee277-7586-4cee-acb4-f5e577a03f25 · outbound
This paper cites Long story short: Omitted variable bias in causal machine learning.
Finite sample-optimal adjustment sets in linear Gaussian causal models Long story short: Omitted variable bias in causal machine learning
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:49.898955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f635d41-5d3a-4cfe-bf96-828344b3d585 · outbound
This paper cites Making Sense of Sensitivity: Extending Omitted Variable Bias.
Finite sample-optimal adjustment sets in linear Gaussian causal models Making Sense of Sensitivity: Extending Omitted Variable Bias
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d84d80c0-54d4-43b7-8f5c-94d6df1d00d2 · outbound
This paper cites an unresolved cited work.
Finite sample-optimal adjustment sets in linear Gaussian causal models Unresolved cited work
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28796bb3-0980-403f-b988-2ea3588bd97d · outbound
This paper cites Markov Properties for Graphical Models with Cycles and Latent Variables.
Finite sample-optimal adjustment sets in linear Gaussian causal models Markov Properties for Graphical Models with Cycles and Latent Variables
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 371faea5-c6b7-404b-8926-f131e1ef0170 · outbound
This paper cites an unresolved cited work.
Finite sample-optimal adjustment sets in linear Gaussian causal models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:44:49.742031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba504ae9-7933-4aa3-aadc-8aef8ebb6049 · outbound
This paper cites Richard Guo, Emilija Perkovi \'c , and Andrea Rotnitzky.
Finite sample-optimal adjustment sets in linear Gaussian causal models Richard Guo, Emilija Perkovi \'c , and Andrea Rotnitzky
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:49.463346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 621c5e20-b68d-47db-9264-dd6b30cf33aa · outbound
This paper cites Maathuis.
Finite sample-optimal adjustment sets in linear Gaussian causal models Maathuis
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:44:45.271386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd30b4bb-bd68-4e07-8c66-b79af146253f · outbound
This paper cites Hernan and J.M.
Finite sample-optimal adjustment sets in linear Gaussian causal models Hernan and J.M
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:49.133775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7f1d3d26-4e31-4e69-bb1a-5f6f5a8ea5d8 · outbound
This paper cites Middleton, Marc A.
Finite sample-optimal adjustment sets in linear Gaussian causal models Middleton, Marc A
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-07T00:44:47.030709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ae419c7b-3e9c-4b97-97cb-8c2c1e135453 · outbound
This paper cites Myers, Jeremy A.
Finite sample-optimal adjustment sets in linear Gaussian causal models Myers, Jeremy A
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-07T00:44:46.801351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f73428ea-3d0c-4a68-b059-5d480bf2722f · outbound
This paper cites Factorization of the partial covariance in singly-connected path diagrams.
Finite sample-optimal adjustment sets in linear Gaussian causal models Factorization of the partial covariance in singly-connected path diagrams
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:48.961240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d65126d3-8e4c-4f93-ac93-08cad32c9670 · outbound
This paper cites Comment: Graphical models, causality and intervention.
Finite sample-optimal adjustment sets in linear Gaussian causal models Comment: Graphical models, causality and intervention
Reference 14
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T00:44:47.335984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f0e6e8de-21fd-4b73-bf66-af5fcde0e14a · outbound
This paper cites Causality: Models, Reasoning and Inference.
Finite sample-optimal adjustment sets in linear Gaussian causal models Causality: Models, Reasoning and Inference
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bbb68c1-10e5-42b2-8bd7-fabc7c653ef7 · outbound
This paper cites On a class of bias-amplifying variables that endanger effect estimates.
Finite sample-optimal adjustment sets in linear Gaussian causal models On a class of bias-amplifying variables that endanger effect estimates
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:48.801071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9cb77140-8547-40ba-afbb-1c424dc6adfe · outbound
This paper cites Maathuis.
Finite sample-optimal adjustment sets in linear Gaussian causal models Maathuis
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:48.632002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fc9a76d8-fecf-4500-8d56-8ce0a907bc6e · outbound
This paper cites Complete graphical characterization and construction of adjustment sets in markov equivalence classes of ancestral graphs.
Finite sample-optimal adjustment sets in linear Gaussian causal models Complete graphical characterization and construction of adjustment sets in markov equivalence classes of ancestral graphs
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:48.493520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3cd56617-09f8-4b49-8fb5-1e92acc0fc9d · outbound
This paper cites Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models, December 2019.
Finite sample-optimal adjustment sets in linear Gaussian causal models Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models, December 2019
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:48.351744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52a53346-ff19-4cc6-8fc7-73b64360d84f · outbound
This paper cites an unresolved cited work.
Finite sample-optimal adjustment sets in linear Gaussian causal models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T00:44:48.145773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 121d5845-4d2b-4e7f-ae61-382853de94e9 · outbound
This paper cites The importance of covariate selection in controlling for selection bias in observational studies.
Finite sample-optimal adjustment sets in linear Gaussian causal models The importance of covariate selection in controlling for selection bias in observational studies
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T00:44:47.873091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8de0d477-ba42-4c7e-a0dd-098d7ba3a945 · outbound
This paper cites Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework.
Finite sample-optimal adjustment sets in linear Gaussian causal models Separators and adjustment sets in causal graphs: Complete criteria and an algorithmic framework
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-07T00:44:46.504356Z
Source-reported events for the cited work
correction dated 2023-05-25. Source: crossref record 10.1016/j.artint.2023.103938->10.1016/j.artint.2018.12.006:correction, observed 2026-07-11T03:14:13.87948+00:00. This notice travels one citation hop only.
Observation d6949f7a-ec6b-457a-813d-abfef0c4d7d9 · outbound
This paper cites Wooldridge.
Finite sample-optimal adjustment sets in linear Gaussian causal models Wooldridge
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-07T00:44:46.294039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.