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Paper Citation Record · LEDGER

Deep Counterfactual Networks with Propensity-Dropout

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1706.05966.

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

pith.paper-citation-record.v1
1706.05966 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:22:09.097535Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:24:25.768543Z

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 ea5ff113-eea1-415b-ab9f-9f718a89a000 · inbound

Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels cites this paper.

Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels Deep Counterfactual Networks with Propensity-Dropout

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:22:09.097535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:22:09.097535Z digest=sha256:0d532a564a17c1dec0d1c3f736af1594270f1f170293c8582ea07c31d63774ab

Observation f5772bdf-4536-45b9-8362-6fdc3d69304d · inbound

Structure Maintained Representation Learning Neural Network for Causal Inference cites this paper.

Structure Maintained Representation Learning Neural Network for Causal Inference Deep Counterfactual Networks with Propensity-Dropout

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:24:25.809971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:24:25.144479Z digest=sha256:fbd686aa568b263885f6ec58aab688e274802a421ece0e0305b641d8fb550f62