Paper Citation Record · LEDGER

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2504.20579.

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

pith.paper-citation-record.v1
2504.20579 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:37.365722Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 002c52cb-0d39-47cc-85cb-2bb22f2ba2e7 · outbound

This paper cites For neural architectures such as CFRNet, TARNet, FISH as well as our methods, we use pre-determined hyperpa- rameters Shalit et al.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects For neural architectures such as CFRNet, TARNet, FISH as well as our methods, we use pre-determined hyperpa- rameters Shalit et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.484245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e096ff3-0509-4288-9eca-ced2c1bd2d01 · outbound

This paper cites 9 HYPERPARAMETERS We describe the various hyperparameters used in all our experiments here for all the methods which have been used for the comparison of results.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects 9 HYPERPARAMETERS We describe the various hyperparameters used in all our experiments here for all the methods which have been used for the comparison of results

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.499382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc761c0c-55f8-47da-bf2c-175302c44ed5 · outbound

This paper cites Note 2 T in the post-interventional SEM is a collider, i.e., it only has incoming edges.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Note 2 T in the post-interventional SEM is a collider, i.e., it only has incoming edges

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.544555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 829b168a-4972-441d-9931-9a65b5b3f840 · outbound

This paper cites Gradient Matching for Domain Generalization.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Gradient Matching for Domain Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:37.323857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac0179f-fdb2-4cc7-83a4-78c4490dc21b · outbound

This paper cites an unresolved cited work.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:32:37.529348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a644944e-ac10-44f1-9e4d-9df60e4ef618 · outbound

This paper cites an unresolved cited work.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:32:37.561144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd60c0f2-99a6-4197-bb1b-ff1bc366fcba · outbound

This paper cites Unbiased look at dataset bias.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Unbiased look at dataset bias

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.577386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4d0dc39-1a1b-4741-a89b-b513ef0df777 · outbound

This paper cites Invariant Risk Minimization.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Invariant Risk Minimization

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:37.308274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac46a98-3070-42eb-a603-60e834d8c2b8 · outbound

This paper cites Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:32:37.407037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16c6cc2b-a31e-4e02-a2dc-14effb9cca9e · outbound

This paper cites Learning Weighted Representations for Generalization Across Designs.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Learning Weighted Representations for Generalization Across Designs

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:37.313699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c095f55-e862-4a77-a5f5-5e3d9d5de9e2 · outbound

This paper cites Nonlinear Invariant Risk Minimization: A Causal Approach.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Nonlinear Invariant Risk Minimization: A Causal Approach

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:37.318830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edff70fb-5c7e-4356-9baa-0ae75cdb3c1b · outbound

This paper cites dependence.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects dependence

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.514213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc696e71-2da4-4632-910f-910e73df2ff1 · outbound

This paper cites Complete identification methods for the causal hierarchy.

Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Complete identification methods for the causal hierarchy

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:32:37.594089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.