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Paper Citation Record · LEDGER

Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1711.00083.

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

pith.paper-citation-record.v1
1711.00083 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:01:06.765516Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9313925f-a46d-4b6f-a0b8-f7e61f63cb82 · inbound

Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations cites this paper.

Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Reference 1999

Resolution
unresolved
no resolver link, observed 2026-08-14T05:01:06.765516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:01:06.765516Z digest=sha256:5c5687adb260fd7b0450585e2acb1a51aeb920c9334806c86582d8c5665c8882

Observation 86e2471e-07b3-4b10-bc7f-e79e600c71b5 · inbound

Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts cites this paper.

Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:23.734807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:35:23.734807Z digest=sha256:5ec7ff4d229a62fddba405732fc35bf6e0b1a8dc669a89016f1ff00aff38cc8c

Observation 39ee383d-b7ec-43aa-8bab-e54aaf93332a · inbound

Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation cites this paper.

Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:57:20.830178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:57:20.830178Z digest=sha256:70ebf12d87797396eb24c28603f0bef27a01b8d71e2d66a4de439dc2a1986050

Observation 9f3a7b67-ec94-45b0-9e66-422b36c14b9e · inbound

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data cites this paper.

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:18:54.527412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T08:10:21.640857Z digest=sha256:0d610a40c9354efda17037acae3c11b590c173a4c09fe24d03d69450acfedccf