Paper Citation Record · LEDGER

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

As of 22 July 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.02892.

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

pith.paper-citation-record.v1
2509.02892 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T19:01:03.912348Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy9
unresolved0
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c0141e-ee00-412b-95c4-8ff704d6fb52 · outbound

This paper cites "X y P (y|t = 1, x) # −.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference "X y P (y|t = 1, x) # −

Reference 1

Resolution: verified exact; doi, observed 2026-05-18T19:01:45.537877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation d1bd0ba9-09af-4926-b9d7-00878e9c458e · outbound

This paper cites We used the implementation in the EconML [Battocchi et al., 2019] package.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference We used the implementation in the EconML [Battocchi et al., 2019] package

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.425830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f9535b41-7fee-45ca-94ba-681e562fb8aa · outbound

This paper cites We used the implementation in the EconML python package, and used two learners: Linear regression (DML (Lin)) and Gradient Boosted Trees (DML (GBT)).

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference We used the implementation in the EconML python package, and used two learners: Linear regression (DML (Lin)) and Gradient Boosted Trees (DML (GBT))

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.429472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a74e1afc-c9ea-4c49-86d0-e044d4ddbfaf · outbound

This paper cites The advantage of using this estimator is that the effect is unbiased if either model is correctly specified.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference The advantage of using this estimator is that the effect is unbiased if either model is correctly specified

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.422309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation db35e7fc-bb90-49e5-a571-5506fec9d921 · outbound

This paper cites We use its R implementation [Dorie et al., 2025] in our experiments.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference We use its R implementation [Dorie et al., 2025] in our experiments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.433457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5c19104b-a590-4ff0-a1a6-388f0645bcd4 · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.447267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a97ca10f-ff9e-4b12-901a-764569ac65f2 · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.437036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3d9a6e2b-a6dc-44a1-b74a-cd1d56a8338c · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.410555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5182e5f5-61e3-4b87-b999-0bb2eca46c7e · outbound

This paper cites Evaluation We report the mean classifier AUCs for the posterior and prior datasets in Table 5.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Evaluation We report the mean classifier AUCs for the posterior and prior datasets in Table 5

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-05-18T19:01:46.418475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 97c319ee-4673-48ad-9ea5-bb3bfa729b03 · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.414288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 350973a3-2857-4d7f-adde-ed5c55c3e473 · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T19:01:46.440617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b8ae070a-1f74-488e-a60e-d96e5de0a9bc · outbound

This paper cites an unresolved cited work.

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference Unresolved cited work

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-05-18T19:01:46.443646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Pith citing papers

No inbound Pith citation observations are available.