Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10551.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:23.348785Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:05:26.828545Z
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 99081e76-afb4-45c5-ac48-fd72c4fff1ba · inbound
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation cites this paper.
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:40:23.348785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd10ea4c-8971-4887-8c79-10fad3e3dd4a · inbound
Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety cites this paper.
Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:05:26.834420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.