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Paper Citation Record · LEDGER

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data

As of 9 August 2026, this Paper Citation Record lists 100 of 203 outbound references and 0 inbound Pith citation observations for arXiv:2607.14318.

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

pith.paper-citation-record.v1
2607.14318 v1

Coverage vector

measured 100 of 203 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:32:35.760146Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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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

100 of 203 outbound references displayed

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Outbound references

Observation 16978926-667b-4d14-8b62-9ecf82d9566e · outbound

This paper cites Proceedings of the sixteenth annual ACM symposium on Theory of computing , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the sixteenth annual ACM symposium on Theory of computing , pages=

Reference 1

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Observation 1578c63d-c77e-45bb-b82c-afd86df46cf3 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International Conference on Artificial Intelligence and Statistics , pages=

Reference 2

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This paper cites Available at SSRN 3355211 , year=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Available at SSRN 3355211 , year=

Reference 3

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2024 , note =

Reference 4

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This paper cites an unresolved cited work.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Unresolved cited work

Reference 5

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This paper cites International Conference on Learning Representations , year =.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International Conference on Learning Representations , year =

Reference 6

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This paper cites Operations Research Perspectives , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Operations Research Perspectives , volume=

Reference 7

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This paper cites USSR Computational Mathematics and Mathematical Physics , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data USSR Computational Mathematics and Mathematical Physics , volume=

Reference 8

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 9

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This paper cites Journal of the American Statistical Association , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of the American Statistical Association , volume=

Reference 10

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This paper cites 2022 , publisher=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2022 , publisher=

Reference 11

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2025 , url =

Reference 12

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2025 , month = aug, day =

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2025 , url =

Reference 14

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of global optimization , volume=

Reference 15

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 16

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 17

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Observation 10c2c196-a076-4292-a9c1-d7ba201865d5 · outbound

This paper cites Airline Ancillary Revenue Reaches Record \ 117.9 Billion Worldwide for 2023.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Airline Ancillary Revenue Reaches Record \ 117.9 Billion Worldwide for 2023

Reference 18

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This paper cites DATA APPLICATION CATEGORY 25 – FARE BY RULE.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data DATA APPLICATION CATEGORY 25 – FARE BY RULE

Reference 19

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data ATPCO & Fare Filing Assistance

Reference 20

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2025 , month = jul, day =

Reference 21

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Annual Review of Statistics and Its Application , volume=

Reference 22

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Statistic Surveys , volume=

Reference 23

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Communications of the ACM , volume=

Reference 24

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This paper cites Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining , pages=

Reference 25

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Explainable Artificial Intelligence (

Reference 26

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Nature machine intelligence , volume=

Reference 27

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment

Reference 28

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Business Economics , volume=

Reference 29

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data European Journal of Operational Research , volume=

Reference 30

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data econometrica , volume=

Reference 31

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Biometrika , volume=

Reference 32

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of the American statistical Association , volume=

Reference 33

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Statistical science: a review journal of the Institute of Mathematical Statistics , volume=

Reference 34

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Econometrica , volume=

Reference 35

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Operations research , volume=

Reference 36

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Information Systems Research , volume=

Reference 37

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in neural information processing systems , volume=

Reference 38

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This paper cites Advances in neural information processing systems , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in neural information processing systems , volume=

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Observation d410fec1-2940-4b18-be48-cb8e4d54c66a · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the AAAI conference on artificial intelligence , volume=

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Observation 036743ad-01f2-4931-873d-1f1bf050cef2 · outbound

This paper cites Journal of Theoretical and Applied Electronic Commerce Research , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of Theoretical and Applied Electronic Commerce Research , volume=

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Observation 2cf3df8b-c931-4457-89cf-1008bcc835b3 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

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Observation 00c3b5f2-4bb7-410d-8b70-eff7a422ae52 · outbound

This paper cites Production and Operations Management , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Production and Operations Management , volume=

Reference 43

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Observation ed91ca1e-026e-4d26-857f-ff688dc1ce17 · outbound

This paper cites Financial risk management and explainable, trustworthy, responsible.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Financial risk management and explainable, trustworthy, responsible

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Observation c25c8ee4-e5ed-4c9e-b959-361e475d92ce · outbound

This paper cites Future Business Journal , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Future Business Journal , volume=

Reference 45

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Observation eee719f8-e3bb-431a-990a-dcb4cd9bf7b5 · outbound

This paper cites Journal of Open Innovation: Technology, Market, and Complexity , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of Open Innovation: Technology, Market, and Complexity , volume=

Reference 46

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Observation 937adbdf-3b29-4b68-ab64-d8e0adf08f50 · outbound

This paper cites Human resource management review , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Human resource management review , volume=

Reference 47

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Observation 77259865-13e8-4e41-bf61-fd7b0be9fd5e · outbound

This paper cites PRICING DATA: Powering modern airline retailing with data.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data PRICING DATA: Powering modern airline retailing with data

Reference 48

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Observation caad0dd4-4877-4c4a-9704-71d8dc1ea2e3 · outbound

This paper cites 2006 , publisher=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2006 , publisher=

Reference 49

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Observation 224f0cd2-7872-4973-8600-cc27537a3748 · outbound

This paper cites 2016 , publisher=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2016 , publisher=

Reference 50

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Observation a80366f0-b69b-4b5c-8c15-1f0a75f9dd10 · outbound

This paper cites 2021 , publisher=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2021 , publisher=

Reference 51

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Observation e56f56c8-5bf4-4544-b61f-41848fb60dd9 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

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Observation 81541b7e-2a96-4471-a0f0-081ee8390c6e · outbound

This paper cites International Conference on Machine Learning , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International Conference on Machine Learning , pages=

Reference 53

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Observation 60140251-9716-4bef-aa7e-ba7619e979a2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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Observation f5f03293-1710-4571-8eb2-c6d385af7d2a · outbound

This paper cites 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) , pages=

Reference 56

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Observation b2bf3295-fd3d-415a-a162-bab9fde8171d · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

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Observation 6942cf2b-732d-4814-8ad0-d23cc08defba · outbound

This paper cites Neurocomputing , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Neurocomputing , volume=

Reference 58

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Observation 1be67168-fd05-45d8-8eab-df4bae740726 · outbound

This paper cites International conference on machine learning , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International conference on machine learning , pages=

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Observation aa4198b7-4701-479d-a478-691c361da942 · outbound

This paper cites Distilling Knowledge from Deep Networks with Applications to Healthcare Domain.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Distilling Knowledge from Deep Networks with Applications to Healthcare Domain

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Observation d26e92b0-f5f0-4d5a-af14-cb2a6acf134a · outbound

This paper cites Artificial intelligence , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Artificial intelligence , volume=

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Observation c195927b-9868-4ad1-ab75-65e1b5696f76 · outbound

This paper cites Distilling a Neural Network Into a Soft Decision Tree.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Distilling a Neural Network Into a Soft Decision Tree

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Observation 81a14546-55c0-4db2-a8df-9cacfd8b1089 · outbound

This paper cites Advances in neural information processing systems , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in neural information processing systems , pages=

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Observation 835239ac-dcb4-4ecd-ab22-9d462de6bb48 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Towards A Rigorous Science of Interpretable Machine Learning

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Observation ec3ee223-74cd-4c9b-8592-a042a7bcdf6e · outbound

This paper cites Applied Bayesian modeling and causal inference from incomplete-data perspectives , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Applied Bayesian modeling and causal inference from incomplete-data perspectives , volume=

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Observation 69248324-6089-4425-b235-de355e33f3d9 · outbound

This paper cites Information processing letters , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Information processing letters , volume=

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Observation fc47025b-80ee-41d7-aebe-1a3f257509ec · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2013 , publisher=

Reference 67

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Observation ad1f621d-08d8-4a42-9351-ede636f8307b · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 2017 , publisher=

Reference 68

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Observation 7e7fa707-512b-4c3b-bd1a-ca7ba72bcb29 · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data 1984 , publisher=

Reference 69

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Observation 856a89f1-9740-4830-a8be-e795b1532e0f · outbound

This paper cites Advances in neural information processing systems , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in neural information processing systems , pages=

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Observation 9d53acb8-0c19-4da0-957e-527151070e00 · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 28th International Conference on International Conference on Machine Learning , pages=

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Observation aaf93fb8-97a3-4461-a8d2-1932928801bf · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning-Volume 70 , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 34th International Conference on Machine Learning-Volume 70 , pages=

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Observation e4435e49-2ae0-4e09-9476-630630f0e338 · outbound

This paper cites American Economic Review , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data American Economic Review , volume=

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Observation 7c12a69a-ac0c-4826-b85a-ec35f27c712a · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the National Academy of Sciences , volume=

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Observation 9930dae5-2fd8-449b-ad0c-59204321e863 · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Machine learning , volume=

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Observation 8b707fb7-eb36-4144-8916-3e9e2a8835e2 · outbound

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Column generation , pages=

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Observation 8265203d-ba11-464b-a0d9-9b53701525c2 · outbound

This paper cites SIAM Journal on computing , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data SIAM Journal on computing , volume=

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Observation a34a45ec-a1d8-4c86-9916-f00645ea197b · outbound

This paper cites Journal of the Operational Research Society , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of the Operational Research Society , volume=

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This paper cites A Scalable.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data A Scalable

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This paper cites Proceedings of the national academy of sciences , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the national academy of sciences , volume=

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This paper cites International Conference on Machine Learning , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International Conference on Machine Learning , pages=

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in Neural Information Processing Systems , volume=

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data ICML , year=

Reference 83

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data International Cross-Domain Conference for Machine Learning and Knowledge Extraction , pages=

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=

Reference 85

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Management Science , volume=

Reference 86

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This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Distilling the Knowledge in a Neural Network

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data The Annals of Applied Statistics , volume=

Reference 89

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Machine Learning , volume=

Reference 90

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This paper cites Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining , pages=

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This paper cites The Price of Interpretability.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data The Price of Interpretability

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This paper cites Advances in neural information processing systems , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Advances in neural information processing systems , pages=

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This paper cites Why should i trust you?.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Why should i trust you?

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Thirty-Second AAAI Conference on Artificial Intelligence , year=

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Journal of Machine Learning Research , volume=

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data AAAI Spring Syposium on Knowledge Representation and Reasoning (KRR): Integrating Symbolic and Neural Approaches , volume=

Reference 97

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This paper cites The Annals of Applied Statistics , volume=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data The Annals of Applied Statistics , volume=

Reference 98

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This paper cites Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 99

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Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Manufacturing & Service Operations Management , volume=

Reference 100

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This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

Reference 101

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