{"id":"https://openalex.org/W7162787857","doi":"https://doi.org/10.48550/arxiv.2605.30205","title":"LexPath: A domain-oriented multi-path framework for legal article retrieval","display_name":"LexPath: A domain-oriented multi-path framework for legal article retrieval","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162787857","doi":"https://doi.org/10.48550/arxiv.2605.30205"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.30205","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30205","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.30205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123041944","display_name":"Weixuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Weixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005358696","display_name":"Qingfeng Zhuge","orcid":"https://orcid.org/0000-0002-1107-3470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuge, Qingfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103161223","display_name":"Xuyang Chen","orcid":"https://orcid.org/0009-0003-0300-6192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8008000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8008000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.033799998462200165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.01600000075995922,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6972000002861023},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5565999746322632},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4986000061035156},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43880000710487366},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4009999930858612},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.40049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505999803543091},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7285000085830688},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6972000002861023},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37950000166893005},{"id":"https://openalex.org/C2993995455","wikidata":"https://www.wikidata.org/wiki/Q3150005","display_name":"Legal document","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.2865999937057495},{"id":"https://openalex.org/C2778049185","wikidata":"https://www.wikidata.org/wiki/Q2334719","display_name":"Legal case","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C22639730","wikidata":"https://www.wikidata.org/wiki/Q7702546","display_name":"Term Discrimination","level":5,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.30205","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30205","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.30205","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.30205","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799577116966248,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Legal":[0],"article":[1],"retrieval":[2,25,75,83],"is":[3],"critical":[4],"for":[5,38],"building":[6],"traceable":[7],"and":[8,77,105,118,138,153,170],"reliable":[9],"legal":[10,20,116,139],"AI":[11],"systems,":[12],"where":[13],"conclusions":[14],"must":[15],"be":[16],"grounded":[17],"in":[18],"specific":[19],"articles.":[21,140],"However,":[22],"existing":[23],"open-domain":[24],"methods":[26],"rely":[27],"heavily":[28],"on":[29,144,150],"surface-level":[30],"lexical":[31],"or":[32,54],"semantic":[33],"similarity,":[34],"making":[35],"it":[36],"difficult":[37],"them":[39],"to":[40,90],"distinguish":[41],"legally":[42,52,102],"relevant":[43],"articles":[44],"from":[45,115],"those":[46],"that":[47,98,163],"are":[48],"textually":[49],"similar":[50],"but":[51],"inapplicable":[53],"misaligned":[55],"with":[56,101,111],"the":[57,122,127,132,180],"user's":[58],"underlying":[59],"intent.":[60],"To":[61],"bridge":[62],"this":[63],"gap,":[64],"we":[65],"propose":[66],"\\textsc{LexPath},":[67],"a":[68,73,106,154],"domain-oriented":[69],"multi-path":[70,74],"framework":[71],"comprising":[72],"module":[76,84,124],"an":[78,94],"intent-aware":[79],"reranking":[80,123],"module.":[81],"The":[82],"combines":[85],"two":[86,145],"complementary":[87],"legal-specific":[88],"paths":[89],"collect":[91],"candidate":[92,128],"articles:":[93],"IRAC-guided":[95],"sparse":[96],"path":[97,109],"expands":[99],"queries":[100,137,152],"informative":[103],"keywords,":[104],"structure-guided":[107],"dense":[108],"trained":[110],"hard":[112],"negatives":[113],"derived":[114],"hierarchy":[117],"citation":[119],"relations.":[120],"Then,":[121],"further":[125,178],"refines":[126],"ranking":[129],"by":[130],"incorporating":[131],"intent":[133],"consistency":[134],"score":[135],"between":[136],"We":[141],"evaluate":[142],"\\textsc{LexPath}":[143,164],"publicly":[146],"available":[147],"benchmarks":[148],"focusing":[149],"general-public":[151],"self-constructed":[155],"benchmark":[156],"targeting":[157],"domain-professional":[158],"scenarios.":[159],"Experimental":[160],"results":[161],"demonstrate":[162],"consistently":[165],"outperforms":[166],"lexical,":[167],"dense,":[168],"hybrid,":[169],"adaptive":[171],"retrieval-augmented":[172],"generation":[173],"(RAG)":[174],"baselines.":[175],"Ablation":[176],"studies":[177],"verify":[179],"effectiveness":[181],"of":[182],"each":[183],"component.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-30T00:00:00"}
