Proof-Carrying Neuro-Symbolic Reasoning for Non-Monotonic Legal Decision Support with LLMs

Maxim Ulizko, Tatiana Polevaya, Ivan Tomilov, Natalia Gusarova, Aleksandra Vatian

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DOI: 10.3390/bdcc10090295
Published: 2026-09-01
Container: Big Data and Cognitive Computing
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/bdcc10090295,
  title = {Proof-Carrying Neuro-Symbolic Reasoning for Non-Monotonic Legal Decision Support with LLMs},
  author = {Maxim Ulizko and Tatiana Polevaya and Ivan Tomilov and Natalia Gusarova and Aleksandra Vatian},
  year = {2026},
  journal = {Big Data and Cognitive Computing},
  doi = {10.3390/bdcc10090295},
  url = {https://doi.org/10.3390/bdcc10090295}
}

RIS

TY  - JOUR
TI  - Proof-Carrying Neuro-Symbolic Reasoning for Non-Monotonic Legal Decision Support with LLMs
AU  - Maxim Ulizko
AU  - Tatiana Polevaya
AU  - Ivan Tomilov
AU  - Natalia Gusarova
AU  - Aleksandra Vatian
PY  - 2026
JO  - Big Data and Cognitive Computing
DO  - 10.3390/bdcc10090295
UR  - https://doi.org/10.3390/bdcc10090295
ER  -

APA

Ulizko, M., Polevaya, T., Tomilov, I., Gusarova, N., & Vatian, A. (2026). Proof-Carrying Neuro-Symbolic Reasoning for Non-Monotonic Legal Decision Support with LLMs. Big Data and Cognitive Computing. https://doi.org/10.3390/bdcc10090295

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crossref · retrieved 2026-09-26T18:33:56.105Z