Paper Citation Record · LEDGER

Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1712.04802.

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

pith.paper-citation-record.v1
1712.04802 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:34:29.599827Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:26:59.690724Z

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 9aa6c7ea-8ced-4bdf-9848-5c2efd89baff · inbound

A Groupwise Approach for Inferring Heterogeneous Treatment Effects in Causal Inference cites this paper.

A Groupwise Approach for Inferring Heterogeneous Treatment Effects in Causal Inference Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:50:53.187139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4339741a-5dab-4884-81ae-ecec2b5c468d · inbound

A general nonparametric framework for testing hypotheses about function-valued parameters cites this paper.

A general nonparametric framework for testing hypotheses about function-valued parameters Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:03.389711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff9958bf-6fc2-4d5d-a95d-23e0f0261b92 · inbound

Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions cites this paper.

Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:27:38.701595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64be30e9-91e8-40ee-8333-79a2e617b404 · inbound

Shared-Donor Inference for Heterogeneity in Many-Group Synthetic Difference-in-Differences cites this paper.

Shared-Donor Inference for Heterogeneity in Many-Group Synthetic Difference-in-Differences Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:26:59.692384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 598d2753-e8b2-4110-856c-b8c40bae5acd · inbound

Attenuated Heterogeneity in Fixed-Effects Causal Forests, and a Cross-Fitted Correction cites this paper.

Attenuated Heterogeneity in Fixed-Effects Causal Forests, and a Cross-Fitted Correction Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:34:29.599827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.