GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits | Paper Citation Record

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This paper cites Causal modelling agents: causal graph discov- ery through synergising metadata- and data-driven reasoning.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal modelling agents: causal graph discov- ery through synergising metadata- and data-driven reasoning

Reference 1

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Observation 3b623172-3481-4094-9439-48c4486dbcb6 · outbound

This paper cites Causal modelling agents: causal graph discovery 15 through synergising metadata- and data-driven reasoning.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal modelling agents: causal graph discovery 15 through synergising metadata- and data-driven reasoning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.714040Z

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This paper cites DAGMA: learning DAGs via M- matrices and a log-determinant acyclicity characterization.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits DAGMA: learning DAGs via M- matrices and a log-determinant acyclicity characterization

Reference 3

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This paper cites Graph of thoughts: solving elaborate problems with large language models.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(16):17682–17690, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Graph of thoughts: solving elaborate problems with large language models.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(16):17682–17690, 2024

Reference 4

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Observation e6459a71-ea3e-4d77-8a0b-05496d5cdb24 · outbound

This paper cites Causal discovery for fairness.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal discovery for fairness

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Observation 18c67222-0d07-4ce6-98b2-3fe5c0d7bfaa · outbound

This paper cites The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications

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Observation 1dacac41-4f7e-4ae4-b853-9cc88bc965ec · outbound

This paper cites Path-specific counterfactual fairness.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Path-specific counterfactual fairness

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Observation 03ace53f-55b4-4522-8a62-bd0eb2056d85 · outbound

This paper cites Optimal structure identification with greedy search.Journal of Machine Learning Research, 3(Nov):507–554, 2002.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Optimal structure identification with greedy search.Journal of Machine Learning Research, 3(Nov):507–554, 2002

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Observation 894d4046-9a66-479b-b9df-fe1a000a7696 · outbound

This paper cites Order-independent constraint-based causal structure learning.Journal of Machine Learning Research, 15(1):3741–3782, 2014.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Order-independent constraint-based causal structure learning.Journal of Machine Learning Research, 15(1):3741–3782, 2014

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.634837Z

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Observation faf2a0e9-d325-4318-b312-2f6c1e569d2a · outbound

This paper cites Causal machine learning for predicting treatment outcomes.Nature Medicine, 30:958–968, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal machine learning for predicting treatment outcomes.Nature Medicine, 30:958–968, 2024

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Observation d9dafe56-45b7-4d6e-9eaa-e956b39fb585 · outbound

This paper cites Review of causal discovery methods based on graphical models.Frontiers in Genetics, 10:524, 2019.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Review of causal discovery methods based on graphical models.Frontiers in Genetics, 10:524, 2019

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This paper cites Generalized score functions for causal discovery.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Generalized score functions for causal discovery

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This paper cites Efficient Causal Graph Discovery Using Large Language Models.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Efficient Causal Graph Discovery Using Large Language Models

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This paper cites Estimating high-dimensional directed acyclic graphs with the PC-algorithm.Journal of Machine Learning Research, 8:613–636, 2007.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Estimating high-dimensional directed acyclic graphs with the PC-algorithm.Journal of Machine Learning Research, 8:613–636, 2007

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Observation beb9603b-cf9b-44ad-9999-b24d72ec1edb · outbound

This paper cites ALCM: Autonomous LLM-Augmented Causal Discovery Framework.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits ALCM: Autonomous LLM-Augmented Causal Discovery Framework

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Observation ca111c2c-b4c4-45ba-9dd0-c54b55414449 · outbound

This paper cites Causal reasoning and large language models: opening a new frontier for causality.Transactions on Machine Learning Research, TMLR, 2023.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal reasoning and large language models: opening a new frontier for causality.Transactions on Machine Learning Research, TMLR, 2023

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Observation aa16c981-33ef-4b5d-895a-39b170b6b68d · outbound

This paper cites Avoiding discrimination through causal reasoning.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Avoiding discrimination through causal reasoning

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Observation 4c7a0d8e-4c4b-429a-8607-8621ec47aa14 · outbound

This paper cites A survey of Bayesian network structure learning.Artificial Intelligence Review, 56:8721–8814, 2023.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits A survey of Bayesian network structure learning.Artificial Intelligence Review, 56:8721–8814, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.546268Z

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Observation 64d60085-892a-4b03-99ad-e25236a58ec3 · outbound

This paper cites Counterfactual fairness.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Counterfactual fairness

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Observation 85d06441-785e-4ca4-aac5-912000c50d0f · outbound

This paper cites Causal Discovery with Language Models as Imperfect Experts.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal Discovery with Language Models as Imperfect Experts

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Observation 226b751c-690d-45ae-8784-db22002167f1 · outbound

This paper cites When causality meets fairness: a survey.Journal of Logical and Algebraic Methods in Programming, 141:101000, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits When causality meets fairness: a survey.Journal of Logical and Algebraic Methods in Programming, 141:101000, 2024

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Observation ec3ddd46-5e87-4e9a-b8bf-7026514616f7 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Fair inference on outcomes

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This paper cites Direct and indirect effects.Proceedings of the Seventeenth Conference on Uncer- tainty in Artificial Intelligence, UAI-01:411–420, 2001.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Direct and indirect effects.Proceedings of the Seventeenth Conference on Uncer- tainty in Artificial Intelligence, UAI-01:411–420, 2001

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Observation 0fca7bd0-3b0b-4944-8034-6f1d1efcba81 · outbound

This paper cites Cambridge university press, 2009.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Cambridge university press, 2009

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This paper cites MIT Press, 2017.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits MIT Press, 2017

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Observation 881d16db-b2cb-4e59-8898-2421f8590c4a · outbound

This paper cites Causal fairness analysis: a causal toolkit for fair machine learning.Foundations and Trends in Machine Learning, 17(3):304–589, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal fairness analysis: a causal toolkit for fair machine learning.Foundations and Trends in Machine Learning, 17(3):304–589, 2024

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Observation 461365d5-554c-4fa2-b48b-761e638f3ae1 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Reconciling predictive and statistical parity: a causal approach

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This paper cites Causal fairness analysis: a causal toolkit for fair machine learning.Foundations and Trends in Machine Learning, 17(3):304–589, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal fairness analysis: a causal toolkit for fair machine learning.Foundations and Trends in Machine Learning, 17(3):304–589, 2024

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Observation f5e730c2-3e2b-4a37-a7f9-9164ad2b1a1d · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Fairness-accuracy trade-offs: a causal perspective

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Observation d0936b28-7962-4211-ad97-27d50ff29773 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal inference and counterfactual prediction in machine learning for actionable healthcare.Nature Machine Intelligence, 2:369–375, 2020

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Observation 495a9e98-b15d-400d-b9f9-d6542f520d31 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework

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Observation 998b6dc5-68fa-4a59-971d-8dea204227ea · outbound

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Observation bed7c897-08c6-4dd7-996c-345be6b1408d · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits DirectLiNGAM: a direct method for learning a linear non-Gaussian structural equation model.Journal of Machine Learning Research, 12:1225–1248, 2011

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Observation fe305422-d0c0-4e95-8ea0-fa246bd2f895 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits A simple approach for finding the globally optimal Bayesian network structure

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits MIT press, 2000

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Realizing LLMs’ causal potential requires science-grounded, novel benchmarks, 2025

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal discovery in the presence of missing data

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Observation fbcf0a66-119e-46d3-bea8-546a1d2cb889 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits D’ya like DAGs? a survey on structure learning and causal discovery.ACM Computing Surveys, 55(4):1–36, 2022

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Chain-of-thought prompting elicits reasoning in large language models

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Observation f11bad7e-fbc0-49ea-a418-738cdb220f0d · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits PC-fairness: a unified framework for measuring causality-based fairness

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Observation 1a5f6e8d-2dc0-46a7-b7db-b1ca6a872ce2 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Tree of thoughts: deliberate problem solving with large language models

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Observation 4633c097-6cbf-4980-a6fc-a46bb445a272 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits DAG-GNN: DAG structure learning with graph neural networks

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Observation abf84417-43b4-492a-a735-1c9afbb5ba9c · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Learning optimal Bayesian networks: a shortest path perspective.Journal of Artificial Intelligence Research, 48:23–65, 2013

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Observation 18694a26-d7dc-4c9e-a847-80965bc290ee · outbound

This paper cites Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring

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Observation 4d1738bb-96e2-40f5-91b8-47b042b1e035 · outbound

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GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits gCastle: a python toolbox for causal discovery, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.253186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cbb4028e-c5df-47f6-af6e-b3c5449f5e85 · outbound

This paper cites DAGs with NO TEARS: continuous optimization for structure learning.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits DAGs with NO TEARS: continuous optimization for structure learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.239861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86b9eabf-a3ff-48b7-9355-f0786e503377 · outbound

This paper cites Learning sparse nonparametric DAGs.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Learning sparse nonparametric DAGs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.226917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7e075ef-7a26-4e65-a70d-0055ceb81506 · outbound

This paper cites Causal-learn: causal discovery in python.Journal of Machine Learning Research, 25(60):1–8, 2024.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Causal-learn: causal discovery in python.Journal of Machine Learning Research, 25(60):1–8, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.212331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a411421-1651-4af1-84f5-1b3f496bbae2 · outbound

This paper cites Tracing causal paths from experimental and observational data.The Journal of Politics, 85(1):250–265, 2023.

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits Tracing causal paths from experimental and observational data.The Journal of Politics, 85(1):250–265, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:01:36.198483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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