Paper Citation Record · LEDGER

Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.00656.

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

pith.paper-citation-record.v1
1810.00656 v5

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 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:51:16.052207Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T22:24:11.108818Z

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 719154fd-00fa-4623-87a5-84a8dc4a87de · inbound

I See, Therefore I Do: Estimating Causal Effects for Image Treatments cites this paper.

I See, Therefore I Do: Estimating Causal Effects for Image Treatments Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:51:16.052207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053ee196-769c-496f-9d59-00627881460b · inbound

Orthogonal Representation Learning for Estimating Causal Quantities cites this paper.

Orthogonal Representation Learning for Estimating Causal Quantities Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:42:27.825324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75716458-25ba-40c5-b9a6-165e20b2a34f · inbound

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE cites this paper.

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T20:39:47.269430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea74052b-8c04-4c14-b9e0-b43af5d6a6f2 · inbound

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions cites this paper.

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:52:58.980269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 008effac-5bef-4bdb-9c51-2fae1e20e01f · inbound

CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling cites this paper.

CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-07T22:24:11.110513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.