{"id":"https://openalex.org/W7168353164","doi":"https://doi.org/10.1109/access.2026.3713829","title":"Persistent Hodge Laplacian Analysis of Anaphoric Structure in Large Language Model Representations","display_name":"Persistent Hodge Laplacian Analysis of Anaphoric Structure in Large Language Model Representations","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7168353164","doi":"https://doi.org/10.1109/access.2026.3713829"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3713829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3713829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3713829","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140870272","display_name":"Vladimir A. Lazovskiy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir A. Lazovskiy","raw_affiliation_strings":["Moscow Center for Advanced Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow Center for Advanced Studies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140815462","display_name":"Roman K. Khismatullin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roman K. Khismatullin","raw_affiliation_strings":["Moscow Center for Advanced Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow Center for Advanced Studies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140818708","display_name":"Victor B. Kazantsev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Victor B. Kazantsev","raw_affiliation_strings":["Moscow Center for Advanced Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Moscow Center for Advanced Studies","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140842274","display_name":"Sergey V. Stasenko","orcid":"https://orcid.org/0000-0002-3032-5469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergey V. Stasenko","raw_affiliation_strings":["Moscow Center for Advanced Studies"],"raw_orcid":"https://orcid.org/0000-0002-3032-5469","affiliations":[{"raw_affiliation_string":"Moscow Center for Advanced Studies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75966284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"112698","last_page":"112713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.21539999544620514,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.21539999544620514,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.17229999601840973,"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/T10028","display_name":"Topic Modeling","score":0.1428000032901764,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.39239999651908875},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.36090001463890076},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3601999878883362},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.3422999978065491},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3172000050544739},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.28060001134872437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44940000772476196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.2556000053882599}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3713829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3713829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:49a4b22a302c4bed9f0a6c02de082022","is_oa":false,"landing_page_url":"https://doaj.org/article/49a4b22a302c4bed9f0a6c02de082022","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 112698-112713 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3713829","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3713829","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5706121921539307}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"persistent":[2],"Hodge":[3,28,174],"eigenchains":[4,83],"as":[5],"a":[6,46,48,88,130,148],"framework":[7,61],"for":[8,95,106,123,151,170,187],"probing":[9],"relational":[10],"structure":[11],"in":[12,87],"language":[13],"model":[14],"representations.":[15],"By":[16],"decomposing":[17],"the":[18,27,30,60,101,141,144,152,159,184,206],"simplicial":[19],"complex":[20,108],"built":[21],"over":[22,165],"token-pair":[23],"cosine":[24,177,185],"similarities":[25],"via":[26],"Laplacian,":[29],"method":[31],"separates":[32],"representational":[33],"geometry":[34],"into":[35],"curl,":[36],"gradient,":[37],"and":[38,41,69,93,194,200,205],"harmonic":[39,102],"components":[40,92,201],"tracks":[42],"their":[43],"persistence":[44,136],"across":[45,65,192],"filtration\u2014providing":[47],"richer":[49],"geometric":[50],"lens":[51],"than":[52,84],"linear":[53],"probes":[54],"or":[55],"global":[56],"topological":[57,160],"summaries.":[58],"Applying":[59],"to":[62,119],"anaphora":[63,97],"resolution":[64],"five":[66],"controlled":[67],"datasets":[68,98,199],"two":[70],"architecturally":[71],"distinct":[72],"models":[73,193],"(Mistral-7B,":[74],"RWKV-6),":[75],"we":[76],"find":[77],"that":[78,158],"anaphoric":[79],"pairs":[80,86],"produce":[81],"longer-lived":[82],"non-anaphoric":[85],"majority":[89],"of":[90],"spectral":[91,195],"layers":[94,122],"grammatical":[96,171],"(D1\u2013D4),":[99],"with":[100,115],"component":[103],"consistently":[104],"strongest":[105],"structurally":[107],"sentences.":[109],"Grammatical":[110],"disambiguation":[111,127,172],"(D4)":[112],"is":[113],"detected":[114],"high":[116],"sensitivity":[117],"(up":[118],"28/32":[120,175],"BH-significant":[121,179],"Mistral-7B),":[124],"while":[125,181],"semantic":[126],"(D5)":[128],"yields":[129],"clean":[131],"null":[132],"result:":[133],"neither":[134],"eigenchain":[135],"nor":[137],"eigenvalue":[138],"position":[139],"distinguishes":[140],"correct":[142],"from":[143],"distractor":[145],"antecedent,":[146],"establishing":[147],"principled":[149],"boundary":[150],"method.":[153],"A":[154],"cosine-similarity":[155],"baseline":[156],"shows":[157],"analysis":[161],"adds":[162],"discriminative":[163],"value":[164],"raw":[166],"pairwise":[167],"distances":[168],"specifically":[169],"(Mistral-7B:":[173],"vs.":[176],"19/32":[178],"layers),":[180],"largely":[182],"recapitulating":[183],"signal":[186],"simple":[188],"anaphora.":[189],"Results":[190],"vary":[191],"components;":[196],"not":[197],"all":[198],"yield":[202],"significant":[203],"effects,":[204],"findings":[207],"should":[208],"be":[209],"interpreted":[210],"accordingly.":[211]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-07-16T00:00:00"}
