Paper Citation Record · LEDGER

DoWhy: An End-to-End Library for Causal Inference

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2011.04216.

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

pith.paper-citation-record.v1
2011.04216 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:41.665137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:08:56.061331Z

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 e8d77bce-7db8-4e0c-9164-c8f18a19486c · inbound

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models cites this paper.

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models DoWhy: An End-to-End Library for Causal Inference

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:12:28.530118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94c2f9d3-fde5-42fe-8d6a-e3ef73948da9 · inbound

Understanding the European energy crisis through structural causal models cites this paper.

Understanding the European energy crisis through structural causal models DoWhy: An End-to-End Library for Causal Inference

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:41.665137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a27997f-a561-463a-a39e-50fbd0e7f068 · inbound

FairPFN: A Tabular Foundation Model for Causal Fairness cites this paper.

FairPFN: A Tabular Foundation Model for Causal Fairness DoWhy: An End-to-End Library for Causal Inference

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:02.204836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acc6d4c-19c2-499d-b1d9-1e509c3d3c41 · inbound

Causality-aware Safety Testing for Autonomous Driving Systems cites this paper.

Causality-aware Safety Testing for Autonomous Driving Systems DoWhy: An End-to-End Library for Causal Inference

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:59.463308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6782642-b4e9-4538-983a-605ec4a0751b · inbound

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations cites this paper.

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations DoWhy: An End-to-End Library for Causal Inference

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:52.609027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d9a1b5e-dc82-4f28-9634-e98283b18821 · inbound

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks cites this paper.

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks DoWhy: An End-to-End Library for Causal Inference

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:10.189554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b83b64-a244-4c82-90dd-5b508cc04d95 · inbound

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies cites this paper.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies DoWhy: An End-to-End Library for Causal Inference

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-06T17:14:01.349964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979c8fd5-3a30-464d-a534-e4731e4823c0 · inbound

Causal identification with $Y_0$ cites this paper.

Causal identification with $Y_0$ DoWhy: An End-to-End Library for Causal Inference

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T04:41:38.298950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97bbe068-c47e-4c54-8a78-38482a3956f7 · inbound

What Causes COVID-19 Fear? General Drivers of Fear During a Health Crisis cites this paper.

What Causes COVID-19 Fear? General Drivers of Fear During a Health Crisis DoWhy: An End-to-End Library for Causal Inference

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:35:15.674693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4851a8c5-24b5-497a-a403-66fb72a2f0a8 · inbound

Root Cause Analysis of Outliers in Unknown Cyclic Graphs cites this paper.

Root Cause Analysis of Outliers in Unknown Cyclic Graphs DoWhy: An End-to-End Library for Causal Inference

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:07:33.927049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2f969d-7966-4788-ba46-415dc18407ee · inbound

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code DoWhy: An End-to-End Library for Causal Inference

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T06:49:09.194955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0365e435-4955-4388-9695-2330f80e18b3 · inbound

Closing the Loop: A Software Framework for AI to Support Business Decision Making cites this paper.

Closing the Loop: A Software Framework for AI to Support Business Decision Making DoWhy: An End-to-End Library for Causal Inference

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:24.416350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ea25301-2d13-4ce2-bc81-44c23e59c25e · inbound

Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation cites this paper.

Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation DoWhy: An End-to-End Library for Causal Inference

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:24.001104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5426d796-21cf-4244-93f3-3e82ad9a1302 · inbound

FoundCause: Causal Discovery with Latent Confounders from Observational Data cites this paper.

FoundCause: Causal Discovery with Latent Confounders from Observational Data DoWhy: An End-to-End Library for Causal Inference

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.063796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8cc24e83-58cb-46fa-a221-27b0e2e014aa · inbound

A cubical formalisation of conditional independence, Bayesian conditioning, and Pearl's d-separation soundness cites this paper.

A cubical formalisation of conditional independence, Bayesian conditioning, and Pearl's d-separation soundness DoWhy: An End-to-End Library for Causal Inference

Reference 1974

Resolution: unresolved; no resolver link, observed 2026-08-02T10:55:59.718631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703f66f9-fb62-425b-af52-1acac9795dcb · inbound

teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data cites this paper.

teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data DoWhy: An End-to-End Library for Causal Inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T23:46:24.632194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ce24e6-4468-470d-b0c2-dc41370f10b0 · inbound

A cubical formalisation of topos causal models: intervention, forcing, and a contextuality obstruction cites this paper.

A cubical formalisation of topos causal models: intervention, forcing, and a contextuality obstruction DoWhy: An End-to-End Library for Causal Inference

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T22:51:13.923296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686bda95-57e6-4f5d-9f9a-acf6f6e8b8db · inbound

proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference cites this paper.

proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference DoWhy: An End-to-End Library for Causal Inference

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-31T15:58:42.140229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ead7c297-6675-4d6c-94e7-410f167232d9 · inbound

Reason-Mediated Behavioral Models for Auditing LLM Social Simulators cites this paper.

Reason-Mediated Behavioral Models for Auditing LLM Social Simulators DoWhy: An End-to-End Library for Causal Inference

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T09:13:00.420364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37eee5b9-0a8f-4d24-a958-2556989f3e24 · inbound

Reason-Mediated Behavioral Models for Auditing LLM Social Simulators cites this paper.

Reason-Mediated Behavioral Models for Auditing LLM Social Simulators DoWhy: An End-to-End Library for Causal Inference

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T01:47:59.690015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c265d23e-122d-43d3-a398-b404c47dd065 · inbound

Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series cites this paper.

Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series DoWhy: An End-to-End Library for Causal Inference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T08:17:35.647151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04bdbd94-b9f0-442c-b0e4-59ad718ad3b9 · inbound

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering DoWhy: An End-to-End Library for Causal Inference

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T09:21:24.065620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a86a67-c61d-4019-bcef-83fa346a58d3 · inbound

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering DoWhy: An End-to-End Library for Causal Inference

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:09.709258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.