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Paper Citation Record · LEDGER

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation

As of 14 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.27905.

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

pith.paper-citation-record.v1
2607.27905 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:19:35.016800Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

100 of 300 outbound references displayed

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  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation eec085dd-d2c9-4d33-a333-8efb127a8fc6 · outbound

This paper cites AI and Ethics , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation AI and Ethics , volume=

Reference 1

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source=arxiv_source observed=2026-07-31T23:19:24.774887Z digest=sha256:a2b204c540f57b24ce2b0704ec96e5792f4af997a3e40d6d1712c9e9e1631849

Observation d01af065-66b8-4f3c-8b1e-592e29f3438f · outbound

This paper cites The Journal of Supercomputing , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation The Journal of Supercomputing , volume=

Reference 2

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source=arxiv_source observed=2026-07-31T23:19:24.846074Z digest=sha256:6efa0e42a3d2bb92141609fab6b42ff0069328fa709a5bb498de341279b40a29

Observation 4a6b4eb7-5385-4509-9d2b-ffc6bdaac382 · outbound

This paper cites Explainable and Responsible Artificial Intelligence in Healthcare , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Explainable and Responsible Artificial Intelligence in Healthcare , pages=

Reference 3

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source=arxiv_source observed=2026-07-31T23:19:24.929710Z digest=sha256:5f26c300d425bf0a6a81fcbbb641e87ba7203dc674a137f2dbda9af1404dfe0e

Observation d9e7d4c9-02b0-4c65-a919-cf4a699f5975 · outbound

This paper cites Computational and Structural Biotechnology Journal , year=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Computational and Structural Biotechnology Journal , year=

Reference 4

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source=arxiv_source observed=2026-07-31T23:19:25.015661Z digest=sha256:fcca427e48bf7857dd066d99c299aab9779b36d222c27b2b6da45ff57060d74e

Observation 687e70de-8ce7-46b4-8f23-aa84565576b1 · outbound

This paper cites Neural Processing Letters , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Neural Processing Letters , volume=

Reference 5

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source=arxiv_source observed=2026-07-31T23:19:25.073768Z digest=sha256:3ecec909e531a6cbb6dd6db6bc1f9031c4cd98c5882ecf34c8206477e0c18332

Observation cbf92dcb-d3b1-4c2e-9e96-b243e4f35183 · outbound

This paper cites ACM Computing Surveys , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation ACM Computing Surveys , volume=

Reference 6

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source=arxiv_source observed=2026-07-31T23:19:25.148063Z digest=sha256:41f203278af713e0aaa408517be11ee0bb79145f85d50ba53c8880080ac05f86

Observation bd09bafa-041b-4a3a-b8cf-6f60e08bd8fc · outbound

This paper cites IEEE Access , year=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Access , year=

Reference 7

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source=arxiv_source observed=2026-07-31T23:19:25.201447Z digest=sha256:9e7db05f676b698e790436ad77b91c191c0da772196d0736ac7ee47e41cba97a

Observation 069085b7-2f49-4770-82e6-095243581969 · outbound

This paper cites Healthcare , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Healthcare , volume=

Reference 8

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source=arxiv_source observed=2026-07-31T23:19:25.277298Z digest=sha256:9a3afdd9cefbe934d0c21520674ccc1d11d575d32c4e68fdf44859faeb9bbc53

Observation 95d41baf-fe4d-41aa-b96d-f4166b6b676b · outbound

This paper cites Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=

Reference 9

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source=arxiv_source observed=2026-07-31T23:19:25.368598Z digest=sha256:cefbc6caae42bbdbced01f88bf56b3acfbb31800fcebbc3a8ae2e38de42c6ae1

Observation 998d323b-82be-4b07-95e2-98905742c6f2 · outbound

This paper cites Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 10

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source=arxiv_source observed=2026-07-31T23:19:25.456442Z digest=sha256:a59f41dbbb0dc2096d2d83a6df44f72fd380c8eeb24e2ff20128d664220fcd71

Observation 37c8ac77-5db0-4ee2-9737-6cd5fefaaeb8 · outbound

This paper cites Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Reference 11

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source=arxiv_source observed=2026-07-31T23:19:25.548421Z digest=sha256:2026db0a885300d651204b5319be01d992af39ff8c5812f131098238ef1608de

Observation c2d09d35-562d-4132-a3d4-b2f2120a8ca5 · outbound

This paper cites IEEE Access , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Access , volume=

Reference 12

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source=arxiv_source observed=2026-07-31T23:19:25.615290Z digest=sha256:95719d92d6824b21a7c28917acb27738a19f4c0befdf112b96226a717cbaabd7

Observation 8d21e75f-1b8e-4881-88f9-74b0e83be579 · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , pages=

Reference 13

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Observation 7559be11-6685-4ba3-b0a6-fe5dbe17f157 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Robotics and Automation Letters , volume=

Reference 14

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source=arxiv_source observed=2026-07-31T23:19:25.744239Z digest=sha256:ff41c6acaba2663d48be7652c45f9509c51e7e6ee4e0598efbf2e2187e14c67d

Observation 218c628a-a7f9-4c63-9674-6d348842fb2b · outbound

This paper cites ACM Computing Surveys , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation ACM Computing Surveys , volume=

Reference 15

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source=arxiv_source observed=2026-07-31T23:19:25.823424Z digest=sha256:d3264bf5d43bbb583bffe1b4524de52fd783c68184b7c26939c48f0ccd0f0ed6

Observation 8e140610-fdbd-4d9f-b160-f5e9e98f1134 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 16

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source=arxiv_source observed=2026-07-31T23:19:25.879705Z digest=sha256:7a1103db3693a7eb3bf70e867527c2c911bd86ecb12da20cd6d5d4527a628ec7

Observation 1e82c87b-69af-4062-9b05-1de6567d8c86 · outbound

This paper cites IEEE Transactions on Engineering Management , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Transactions on Engineering Management , volume=

Reference 17

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source=arxiv_source observed=2026-07-31T23:19:25.969882Z digest=sha256:c7451a14153bec509d533b563d1d090baa37d62c11c3328b8b759dce6b4b4789

Observation 1f2cf94f-d97f-4a58-a5fc-ac5e5d2911bd · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Transactions on Intelligent Transportation Systems , volume=

Reference 18

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Observation 959da9be-a63a-48e7-b213-025b3f733268 · outbound

This paper cites International Conference on Discovery Science , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation International Conference on Discovery Science , pages=

Reference 19

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Observation 29550f53-6d4c-4ff6-82de-7fd56dafc169 · outbound

This paper cites Proceedings of the ICCBR XCBR , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the ICCBR XCBR , volume=

Reference 20

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source=arxiv_source observed=2026-07-31T23:19:26.194492Z digest=sha256:e14165e31d44db7e7e65e1fd386868bc1b17f54acea40d5c20d1b6b298ef8d2a

Observation ff79d3b3-bf9d-4680-a408-bb3f14c66229 · outbound

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

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Journal of Theoretical and Applied Electronic Commerce Research , volume=

Reference 21

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Observation 71c0cb37-0835-4b28-8b21-aa21a06fb7ff · outbound

This paper cites Proceedings of the 2023 6th International Conference on Big Data Technologies , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the 2023 6th International Conference on Big Data Technologies , pages=

Reference 22

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Observation c0a8941d-6a1d-48b4-ace9-ede3fd2c6f22 · outbound

This paper cites IEEE Access , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Access , volume=

Reference 23

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Observation 4b1671f9-35d7-4f21-b0f8-59cea7cd3a08 · outbound

This paper cites IEEE Access , year=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Access , year=

Reference 24

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source=arxiv_source observed=2026-07-31T23:19:26.501124Z digest=sha256:70919cef31a4077e018f2a1468eaad6ba93532ffdadaae39cfe1782e55d6bbbb

Observation 18e77d66-94c5-4446-924c-a1ee44c153fd · outbound

This paper cites PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards

Reference 25

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source=arxiv_source observed=2026-07-31T23:19:26.579245Z digest=sha256:4df2746cbd3cd7e2e36fada126960f7ac91fdddadd6392dc473f79fdaf96caeb

Observation 6c3cd455-5555-4950-b134-c457e3bd2b03 · outbound

This paper cites Interpretable Credit Application Predictions With Counterfactual Explanations.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Interpretable Credit Application Predictions With Counterfactual Explanations

Reference 26

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source=arxiv_source observed=2026-07-31T23:19:26.646100Z digest=sha256:d07cb639e710edb07a1cebd04ae955649433a33b4a12eb6408b804b2080c8bf9

Observation c1297b4b-baed-49ad-91d9-7eb9aa28e067 · outbound

This paper cites Expert Systems with Applications , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Expert Systems with Applications , volume=

Reference 27

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Observation d1dd12a8-937a-4203-b4dc-bf478a534fb3 · outbound

This paper cites arXiv preprint arXiv:2405.00456 , year=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation arXiv preprint arXiv:2405.00456 , year=

Reference 28

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Observation 7a8d0634-513b-4df1-b917-18c4b04d0ca0 · outbound

This paper cites Data Mining and Knowledge Discovery , author =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Data Mining and Knowledge Discovery , author =

Reference 29

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Observation 4cb0eb6d-8db0-4746-91e8-6ea3196da54c · outbound

This paper cites Proceedings of the 5th.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the 5th

Reference 30

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Observation 80cccd67-5787-4ffb-9f3b-b9316139638a · outbound

This paper cites Provably.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Provably

Reference 31

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source=arxiv_source observed=2026-07-31T23:19:27.127958Z digest=sha256:302993e97ef1d27c45a995fe89dc3a39c4c30cb554d0ee26bce12f5caa8b9d04

Observation c0188e81-cb2a-427f-b1fa-c2d9f9489ef0 · outbound

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Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Data Mining and Knowledge Discovery , volume=

Reference 32

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Observation d504006c-8a88-487e-9379-29f30dc3f989 · outbound

This paper cites ACM Computing Surveys , author =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation ACM Computing Surveys , author =

Reference 33

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source=arxiv_source observed=2026-07-31T23:19:27.416775Z digest=sha256:fb5183d2e8182d83ff50de47ee07120756b4f2cdb7800ae3b4d0da0e9ee49b89

Observation 27d1d1a3-08b3-4520-b2a9-8f62682967b9 · outbound

This paper cites Data mining and knowledge discovery , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Data mining and knowledge discovery , volume=

Reference 34

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source=arxiv_source observed=2026-07-31T23:19:27.515344Z digest=sha256:6464eefea3198138c8fe3270dd863471becc11d8f6ba418358d2c17cc9c7e143

Observation 3fe2be7a-adcd-4f53-bc95-cf3081b085f7 · outbound

This paper cites Proceedings of the 2020 conference on fairness, accountability, and transparency , pages=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the 2020 conference on fairness, accountability, and transparency , pages=

Reference 35

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Observation 39371d5d-1e13-4053-8ad5-220ecb1ae9bf · outbound

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Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Management Review Quarterly , volume=

Reference 36

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Observation d44f48a3-27d6-4be7-b086-783cd3f49276 · outbound

This paper cites IEEE Access , volume=.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation IEEE Access , volume=

Reference 37

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Observation 572b3b8a-37ec-46b7-a755-e14eb3565930 · outbound

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Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , series =

Reference 38

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source=arxiv_source observed=2026-07-31T23:19:27.945585Z digest=sha256:5ebf2b80c4f3b997be4723e6fa2307581b10a9d10adfcab857af71a4ebefce9e

Observation 3212b9ba-6085-4e6a-8b7d-d775aacf609f · outbound

This paper cites Database Tuning Advisor for Microsoft.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Database Tuning Advisor for Microsoft

Reference 39

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source=arxiv_source observed=2026-07-31T23:19:28.068959Z digest=sha256:9a85b28bbe2562171ce0e4231cc5edd58afea004b6b2e84103dff3cd0ac9a3e7

Observation e1e85e48-3ace-4608-b025-6a8deedc4d36 · outbound

This paper cites 2008 , pages =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2008 , pages =

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Observation 0c72e9b3-5b68-4ed8-8095-24e708543a1c · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 41

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source=arxiv_source observed=2026-07-31T23:19:28.227692Z digest=sha256:d2049a2e790afa38c3f31c5e98c04cd226c769f5acf63983370a2bec4153ddd2

Observation 4fa0cc29-c7c1-4bab-828b-7151f9d9654f · outbound

This paper cites Web Document Clustering Based on a New Niching.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Web Document Clustering Based on a New Niching

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source=arxiv_source observed=2026-07-31T23:19:28.380492Z digest=sha256:b8f2287700a1c533865bb70a9f6877db8c3e14c8d3622664311c059d9d4104d6

Observation 227db8cf-6869-4f09-8e1a-e41b1e29b3ff · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-07-31T23:19:28.465158Z digest=sha256:1b5d97ac42dce755629ff6514232bc748dfc60915934d0e156b12a4469cdc20f

Observation 06be8f41-7638-4822-b9a4-e4557f3359ed · outbound

This paper cites Sparse Subspace Clustering , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Sparse Subspace Clustering , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:28.578626Z digest=sha256:23e76e7e55d981c3823542c9d02ff4bfa5df51110df7284b63c446205780cb59

Observation a952a07d-ec75-4f94-99df-3eb4a3df393c · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-07-31T23:19:28.704756Z digest=sha256:a546d92e0e64a0d981de0406eb0b6bebf805e6eaa86b28727114e2853ecd7d9f

Observation dee51e7d-4cac-41c6-8d03-28e4e214bf86 · outbound

This paper cites Modularity-.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Modularity-

Reference 46

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source=arxiv_source observed=2026-07-31T23:19:28.780350Z digest=sha256:49dfd070070dd0e0a1e4e430b894a47c39128c2986c8bafbc4dab1e533ebcb90

Observation c4d4e1ed-65aa-4d69-b762-20d47e4495e4 · outbound

This paper cites A Genetic Word Clustering Algorithm , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation A Genetic Word Clustering Algorithm , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:28.902705Z digest=sha256:9b358224b582440bc6c36289035ed3cd28d34cb4bff6bab7ad558f8a539bbf66

Observation 8086a40c-9772-4ada-8a80-0092c92f1363 · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-07-31T23:19:29.025269Z digest=sha256:3f21b94e5d43569a7d931d1fa270dc990814ecc5bd066a54214b73fbcb064ac6

Observation 7c345f62-a672-46e0-a24d-918fbba92e99 · outbound

This paper cites , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation , year =

Reference 49

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source=arxiv_source observed=2026-07-31T23:19:29.105829Z digest=sha256:0879e42f5bfcfa9f6bf0295a6915b52d03cedd265a4a901fd0e98fa35bac8802

Observation adc6a1c4-db4b-4ab5-89c5-5633717ecb2c · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-07-31T23:19:29.217352Z digest=sha256:a8c3d46e482fc41fca9f6e4e41e760820e04631aaaf890267694a135a3b5d261

Observation aac31468-bc8d-4409-b3b1-f4c0b6f097af · outbound

This paper cites Graph Connectivity in Sparse Subspace Clustering , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Graph Connectivity in Sparse Subspace Clustering , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:29.310807Z digest=sha256:c6f1e19ba1f77f5a53058b84f3fcb7d1886f080addcfde3445c7853187612ec2

Observation ca67a3a6-4bc7-440b-bdcf-1cc5fbce6957 · outbound

This paper cites 2007 , pages =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2007 , pages =

Reference 52

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source=arxiv_source observed=2026-07-31T23:19:29.392490Z digest=sha256:a98cbe684122ffb430883dba03ad5a49543185a60a76b2da7ea271d93722f1c6

Observation e542123d-4b5c-4611-85b6-a9ed049d262e · outbound

This paper cites Visual Exploration of Program Structure, Dependencies and Metrics with.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Visual Exploration of Program Structure, Dependencies and Metrics with

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source=arxiv_source observed=2026-07-31T23:19:29.486804Z digest=sha256:06a113ea531061de72360e49a13870a200ba88e139e7d69b9e530c67ac284ca0

Observation a4fc40e8-6d69-4a4d-a33b-34ff38a12c74 · outbound

This paper cites and Ersoy, Ozan and Reniers, Dennie , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Ersoy, Ozan and Reniers, Dennie , year =

Reference 54

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source=arxiv_source observed=2026-07-31T23:19:29.557411Z digest=sha256:0f5f3d41da47e84626d54d0448206de8736dfa6be51ecaaca15e3045e39e54d5

Observation c2289ea1-cadb-448b-9f5c-3b2e1d708570 · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-07-31T23:19:29.627173Z digest=sha256:21c044af7abfbca0d67fdf3b2e450374665a777c1170a09144821415215f3a93

Observation 1ea1d6c6-5554-4513-afa6-9cea7abe40b3 · outbound

This paper cites and Butz, Cory J.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Butz, Cory J

Reference 56

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source=arxiv_source observed=2026-07-31T23:19:29.745956Z digest=sha256:1bdd6a2e796b282a3cbbd3b5dc1d4751b1e4dc459fccb3d7ef43469966e942e9

Observation 96267fd0-14d5-45b2-bdff-8d5e32db45df · outbound

This paper cites Evaluating the.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Evaluating the

Reference 57

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source=arxiv_source observed=2026-07-31T23:19:29.824552Z digest=sha256:024c80df06908ab48ae335add67cc968155c468494d48a3296c57fb5ba06c38b

Observation 3ec2dce0-d41a-420b-9b04-375da44fc6e3 · outbound

This paper cites and Xiao, Weimin , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Xiao, Weimin , year =

Reference 58

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source=arxiv_source observed=2026-07-31T23:19:29.933179Z digest=sha256:57a95a04b92ca07fb35374dc1f0b39ae07b28740074bd28ca4453886e55d640f

Observation d7866c95-7b94-430a-9771-46ee56dda919 · outbound

This paper cites and Rao, Jun and Lightstone, Sam and Lohman, Guy M.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Rao, Jun and Lightstone, Sam and Lohman, Guy M

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source=arxiv_source observed=2026-07-31T23:19:30.085646Z digest=sha256:8847aa6e85778371c5a8ba5b08dd2ae5e3a54f124bf908d8ecdffe8f65a65430

Observation 21732c3e-599c-403d-99bc-e6bf0c90ed1a · outbound

This paper cites Towards Validating Social Network Simulations , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Towards Validating Social Network Simulations , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:30.304205Z digest=sha256:acb584b5cccdf8206501b4d752cab86a1791e04c53232efac9d45b114bcbe1fc

Observation 83b6ada3-40fd-4ee4-80e3-126ee69f4d1f · outbound

This paper cites and Korn, J.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Korn, J

Reference 61

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source=arxiv_source observed=2026-07-31T23:19:30.566045Z digest=sha256:3e8fdba19f1c79ca8d0629f2271c944ce274b399393ebc98e5b7e35e00f8d262

Observation d149646e-7ec8-4966-8eaf-0eb76e10c456 · outbound

This paper cites and Korn, J.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Korn, J

Reference 62

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source=arxiv_source observed=2026-07-31T23:19:30.793736Z digest=sha256:7b32ad897c95c47e330058f1ccb7972ac1371f5e62c5e3f034b2505ca4f85317

Observation 217b6f6d-c3f7-4c71-ba6a-1546ab9c09c8 · outbound

This paper cites Antecedents and.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Antecedents and

Reference 63

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source=arxiv_source observed=2026-07-31T23:19:30.966850Z digest=sha256:67bc8d64553044f0355fc964c73f2eb539764bec842a136376dfe75b8f1aa7f6

Observation 4aac6f7e-2da8-4aba-884f-dfa3fc841476 · outbound

This paper cites Frank and Buchwald, Lynne S.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Frank and Buchwald, Lynne S

Reference 64

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source=arxiv_source observed=2026-07-31T23:19:31.135952Z digest=sha256:59841c28573024b30a2195cae903bd6f4f8169e1e5aa7983feb5b82bca56549c

Observation f276f8b2-0f89-424e-9266-60f605707417 · outbound

This paper cites , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation , year =

Reference 65

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source=arxiv_source observed=2026-07-31T23:19:31.360242Z digest=sha256:083196b36cf561e9d4e2015d6ef4e57623916f73f848d80f463b7ed3d281a540

Observation 331ac559-9437-4987-8a93-5ddab11c58c8 · outbound

This paper cites and Glance, Natalie , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Glance, Natalie , year =

Reference 66

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source=arxiv_source observed=2026-07-31T23:19:31.490225Z digest=sha256:362cc9cbb63611b467bb6c611c18981f6b6dc1d7dde2a2070c1472e642d56785

Observation b75557cf-65c0-4118-acfa-386daf4bf8d7 · outbound

This paper cites A Dynamic Social Network Software Platform for Counter-Terrorism Decision Support , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation A Dynamic Social Network Software Platform for Counter-Terrorism Decision Support , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:31.615191Z digest=sha256:b1d6e3397eebc79fbab29cd7a9d95fbd16aa8f5a3a6eb1582bba08d9bfc4f8c0

Observation 8ff8c4f3-363e-41d2-a18b-a53a28d39820 · outbound

This paper cites and Mustafa, Nabil H.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Mustafa, Nabil H

Reference 68

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source=arxiv_source observed=2026-07-31T23:19:31.761342Z digest=sha256:bc9d933205e6fdeaae8feb13221246152f18138d0eb6fb018fda8364cc26b668

Observation 950582b4-c463-4e28-a4d3-2943d489adff · outbound

This paper cites Self-Attention with Cross-Lingual Position Representation.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Self-Attention with Cross-Lingual Position Representation

Reference 69

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source=arxiv_source observed=2026-07-31T23:19:31.854136Z digest=sha256:fe8a44a74a09cc7e54b0d8bed358310dece4a1f55d5ddc53fb1d0a50dd66341f

Observation c734fb90-4db0-4da2-8d60-f5b2c4a042af · outbound

This paper cites 2006 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2006 , journal =

Reference 70

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source=arxiv_source observed=2026-07-31T23:19:32.001509Z digest=sha256:d82f1595a318fb97913af91e075982dd8f016ad401edf6f1b5779fa96c0bcf16

Observation 9feacb5c-8289-4a68-869d-863409e5a018 · outbound

This paper cites 2011 , month = may, journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2011 , month = may, journal =

Reference 71

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doi, observed 2026-07-31T23:20:56.873062Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-31T23:19:32.083691Z digest=sha256:8ce3b006c083cdd56aa3de9775706befbabdc281eecaee97f732d136920d31a7

Observation 71cf12f1-e075-490e-90fa-15487f4fea5c · outbound

This paper cites 2007 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2007 , journal =

Reference 72

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doi, observed 2026-07-31T23:20:56.812221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-31T23:19:32.168809Z digest=sha256:ffc7257224f2d83832edaee8ffddd205a8c4a342f81a3fabc52114d6e3760de2

Observation ffc013c3-0aa3-4afc-90bd-a86df9170dd4 · outbound

This paper cites 2010 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2010 , journal =

Reference 73

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source=arxiv_source observed=2026-07-31T23:19:32.319082Z digest=sha256:f065131c33f33418319e1be293f5123cb33ff06cc44b71a4264a024baf206e13

Observation 4621619f-373d-4612-85db-50466c0a0c71 · outbound

This paper cites Analysis of Topological Characteristics of Huge Online Social Networking Services , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Analysis of Topological Characteristics of Huge Online Social Networking Services , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:32.426558Z digest=sha256:4744aae0850df211472a5cbc28910d2189bcadba075f083aea5f3cec82046454

Observation 2040778d-fb81-46fa-9502-6db77dc7bf6b · outbound

This paper cites 2000 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2000 , journal =

Reference 75

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source=arxiv_source observed=2026-07-31T23:19:32.573672Z digest=sha256:1e0dd38c91436d10df347851058997f34c5c3b3d139b710bf92d9aeae798ac65

Observation a08e1408-4798-4ff7-8a24-9caa77b6cfbf · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 76

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source=arxiv_source observed=2026-07-31T23:19:32.693858Z digest=sha256:d2e353535fe75a27ceebb18f64cd4a1a5e7a9aca3cb3c0148b142387237b2ac2

Observation 61a96dd7-bc27-4237-a9e1-cf42ef5760c4 · outbound

This paper cites 2008 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2008 , journal =

Reference 77

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source=arxiv_source observed=2026-07-31T23:19:32.853408Z digest=sha256:fd266705a028b92fc12bb121067a2f402e587db4b531919984b95fc5ac9e220e

Observation c95a4408-ee6c-467c-aa37-455b0a13c0be · outbound

This paper cites Error and.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Error and

Reference 78

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source=arxiv_source observed=2026-07-31T23:19:32.953007Z digest=sha256:d416dca37fd529089d0ab04ef69fd84b6345e84a8ccd044437419c7e71d52cbe

Observation bf0887e7-f2b0-4fa3-b100-af95878844f4 · outbound

This paper cites Power and.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Power and

Reference 79

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source=arxiv_source observed=2026-07-31T23:19:33.062601Z digest=sha256:a63b924723f7337936cbfc5abc6d1224ff88223501634449fb6bb0e313c18b5b

Observation 95e7e7b7-4251-401d-9874-5bedddc2905c · outbound

This paper cites Intercity.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Intercity

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source=arxiv_source observed=2026-07-31T23:19:33.171683Z digest=sha256:9db322011c8f94caa6750f1ebfe5a59905238484aa205952d91ee4f44f0bec2c

Observation 648bf4a7-9bd9-4b76-b8d3-cbfd076180d5 · outbound

This paper cites , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation , year =

Reference 81

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source=arxiv_source observed=2026-07-31T23:19:33.275606Z digest=sha256:28ac18cbd3a7b557fe693b339cedee6bbace17942e4bdcea6efca083a785dbb9

Observation 507a6daf-af20-4b71-9bee-40bc4b3b9284 · outbound

This paper cites Fundamentals of.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Fundamentals of

Reference 82

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Observation 086f78f0-3fe4-4007-bd1e-40b97a6fcfc0 · outbound

This paper cites 2005 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2005 , journal =

Reference 83

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source=arxiv_source observed=2026-07-31T23:19:33.494053Z digest=sha256:444c4526d9d4dc6ca73b83d1dea27f81a4ffebd05eb9a9121f8959768274e15d

Observation eba4d47c-6947-4384-9d0a-6d9b331b6a77 · outbound

This paper cites , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation , year =

Reference 84

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Observation 2d0d3d35-b1c8-4bc1-8cb8-842ae6133074 · outbound

This paper cites and Kulkarni, R.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Kulkarni, R

Reference 85

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Observation 0b6781b9-d1e6-47bb-b72d-0849897601ca · outbound

This paper cites Towards a.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Towards a

Reference 86

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Observation 09c9ccac-ada0-438c-9894-fd3949690053 · outbound

This paper cites Is There a Best Quality Metric for Graph Clusters? , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Is There a Best Quality Metric for Graph Clusters? , booktitle =

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Observation 2e7aca6a-de56-4a01-92f1-77db1124b5ca · outbound

This paper cites 2013 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2013 , journal =

Reference 88

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no resolver link, observed 2026-07-31T23:19:34.029386Z

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source=arxiv_source observed=2026-07-31T23:19:34.029386Z digest=sha256:ff8289d8b9c3c1e314ef999fbf565113b3aa076bcd573ddfc296807efff84176

Observation 109baab5-2161-4cbc-9edc-cd38dd90966f · outbound

This paper cites Clustering and Exploring Search Results Using Timeline Constructions , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Clustering and Exploring Search Results Using Timeline Constructions , booktitle =

Reference 89

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no resolver link, observed 2026-07-31T23:19:34.113232Z

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Observation 103a7446-8217-40d3-9525-dbe36d5c9536 · outbound

This paper cites 1995 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 1995 , journal =

Reference 90

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source=arxiv_source observed=2026-07-31T23:19:34.175753Z digest=sha256:3fa8b61b1796115cf961dcafa2051173c35ddae2e1067addf47b94bdc2d6307d

Observation ecf76627-26ec-4ba4-8afd-508a67d1f283 · outbound

This paper cites An Efficient K-Means Clustering Algorithm , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation An Efficient K-Means Clustering Algorithm , booktitle =

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source=arxiv_source observed=2026-07-31T23:19:34.252863Z digest=sha256:12904f801c182252d6d5f152154ee668f47d2687aff22cb92bde7253b3a28067

Observation 0cfc0ddc-27f7-4b27-ba7e-f75d6db086b4 · outbound

This paper cites 2006 , pages =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2006 , pages =

Reference 92

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source=arxiv_source observed=2026-07-31T23:19:34.304418Z digest=sha256:97b4e10a76027d8264b764b3ec26e63288c47c843c668a14f3e9ac9f78133fc9

Observation 832b3a3b-a311-49e3-a27e-49fd2662a7d2 · outbound

This paper cites 2006 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2006 , journal =

Reference 93

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source=arxiv_source observed=2026-07-31T23:19:34.316354Z digest=sha256:b04fb17dd5a2fea7a2f823000532be384280d263aba4427a0d1244e42b2115a4

Observation 519e69cd-dd45-4bfa-a8d2-6864e5db2529 · outbound

This paper cites 2000 , journal =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation 2000 , journal =

Reference 94

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source=arxiv_source observed=2026-07-31T23:19:34.424829Z digest=sha256:06ff71eb7c4cb7075533bd5059c01f9b12213790dfaede2e47b67cf4851f9d9d

Observation 433f5f7a-6c3c-415a-b175-cd43c7b4dbb4 · outbound

This paper cites Influence and Correlation in Social Networks , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Influence and Correlation in Social Networks , booktitle =

Reference 95

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source=arxiv_source observed=2026-07-31T23:19:34.505224Z digest=sha256:cf601e0bcbb9ca04004af689763dd9990b81592d3e2888ac9f685b3538e2ab97

Observation 972100c5-cbae-475e-8586-39553de90626 · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 96

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source=arxiv_source observed=2026-07-31T23:19:34.580587Z digest=sha256:add36cde7ebf3ef694546412a8f7f69ec91c063a7c85ef9cbca16859108df2db

Observation 6ccd3194-8794-4154-839f-7743b621e63c · outbound

This paper cites , year =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation , year =

Reference 97

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source=arxiv_source observed=2026-07-31T23:19:34.648956Z digest=sha256:264fdc30e87dac36e2592f7cc9521f9f95122e3ee789f75dc6ad5f894fe328e0

Observation bb0cc1b0-73ef-4f4f-85e6-29f35f722988 · outbound

This paper cites and Eick, Stephen G.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation and Eick, Stephen G

Reference 98

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verified exact
doi, observed 2026-07-31T23:20:56.690231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-31T23:19:34.812024Z digest=sha256:8fe39704453dfa43d0046c6da5435471ca9968d6c53e5f724e040266ff136eb9

Observation 0c4e3136-27c4-499e-ad0f-73a4a7f36dca · outbound

This paper cites A Study of Information Diffusion over a Realistic Social Network Model , booktitle =.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation A Study of Information Diffusion over a Realistic Social Network Model , booktitle =

Reference 99

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source=arxiv_source observed=2026-07-31T23:19:34.915812Z digest=sha256:5a31c54147b995efac515e8d1cd1070317aad20ade0bb69a3eefe6f74778885e

Observation a23ba79b-53d3-44fe-9ea5-12f8db2b4650 · outbound

This paper cites an unresolved cited work.

Class-Aware Reinforcement Learning for Counterfactual Explanation Generation Unresolved cited work

Reference 100

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source=arxiv_source observed=2026-07-31T23:19:35.016800Z digest=sha256:3c774b3291695cba33f44f1064827c783a2c4e50a3b247b8e230a29a75362e4b

Pith citing papers

No inbound Pith citation observations are available.