Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1706.03461.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:47:19.549077Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:31:06.459625Z
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 232dfe96-f4e0-4ee4-bc52-661c35647655 · inbound
Asymmetrical Latent Representation for Individual Treatment Effect Modeling cites this paper.
Asymmetrical Latent Representation for Individual Treatment Effect Modeling Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:47:19.549077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0b1450b-8391-4784-af92-852263e72a6f · inbound
Heterogeneous Causal Learning for Optimizing Aggregated Functions in User Growth cites this paper.
Heterogeneous Causal Learning for Optimizing Aggregated Functions in User Growth Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:34:00.144149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82fed6da-5667-48f3-a976-6b0826f905b8 · inbound
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects cites this paper.
Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:31:06.464760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.