Predicting civil litigation outcomes and the evolution of case complexity and settlement dynamics
arXiv 2605.06151•a7d8f8a6d50959ecabb376319acd1e549637ac0bfe61f4cae36e789ef2673220
AI-adoptionLLMsocial-simulationMovieLensagent-based-modelingattentioncentrality-measuresdynamic-graphsentropygraph-neural-networksjudge-and-firm-featuresksi-centralitylaplacian-matrixlegal-technologylitigation-predictionmachine-learningnetwork-sciencerecommender-systemsresearch-retractionsresearch-visibilityscale-free-networksscientometricssequence-modelingsettlement-dynamicssimilarity-measurestext-embeddings
Paper metadata
- arXiv ID
- 2605.06151
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- a7d8f8a6d50959ecabb376319acd1e549637ac0bfe61f4cae36e789ef2673220
- Enrichment time
- 2026-05-08T08:52:15Z
- AI-assisted enrichment
- Yes
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