{"id":"https://openalex.org/W7155052575","doi":"https://doi.org/10.48550/arxiv.2604.17419","title":"ARMove: Learning to Predict Human Mobility through Agentic Reasoning","display_name":"ARMove: Learning to Predict Human Mobility through Agentic Reasoning","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155052575","doi":"https://doi.org/10.48550/arxiv.2604.17419"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17419","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.2604.17419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134178976","display_name":"Chuyue Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chuyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134138020","display_name":"Jie Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134211641","display_name":"Yuxi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yuxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134133217","display_name":"Shenglin Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Shenglin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134189584","display_name":"Hang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hang","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.012199999764561653,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10298","display_name":"Urban Transport and Accessibility","score":0.007899999618530273,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9524000287055969},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6966000199317932},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5697000026702881},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43790000677108765},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4336000084877014},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.34630000591278076}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9524000287055969},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6966000199317932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952999830245972},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6693999767303467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5756000280380249},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5697000026702881},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.34630000591278076},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33480000495910645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.27300000190734863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17419","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.2604.17419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17419","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human":[0],"mobility":[1,65],"prediction":[2],"is":[3,105],"a":[4,58],"critical":[5],"task":[6],"but":[7,31],"remains":[8],"challenging":[9],"due":[10],"to":[11,39,114,133,164],"its":[12,187,202],"complexity":[13],"and":[14,18,49,81,95,140,174,194],"variability":[15],"across":[16,171,190],"populations":[17],"regions.":[19],"Recently,":[20],"large":[21,129],"language":[22],"models":[23],"(LLMs)":[24],"have":[25],"made":[26],"progress":[27],"in":[28,204],"zero-shot":[29],"prediction,":[30],"existing":[32],"methods":[33],"suffer":[34],"from":[35,46,128],"limited":[36],"interpretability":[37,198],"(due":[38],"black-box":[40],"reasoning),":[41],"lack":[42],"of":[43,158,162],"iterative":[44,79],"learning":[45],"new":[47],"data,":[48],"poor":[50],"transferability.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"introduce":[56],"\\textbf{ARMove},":[57],"fully":[59],"transferable":[60],"framework":[61],"for":[62,88,93],"predicting":[63],"human":[64],"through":[66],"agentic":[67,108],"reasoning.":[68],"To":[69],"address":[70],"these":[71],"limitations,":[72],"ARMove":[73,151],"employs":[74],"standardized":[75],"feature":[76,86,112],"management":[77],"with":[78,166],"optimization":[80],"user-specific":[82],"customization:":[83],"four":[84,147],"major":[85],"pools":[87],"foundational":[89],"knowledge,":[90],"user":[91,192],"profiles":[92],"segmentation,":[94],"an":[96],"automated":[97],"generation":[98],"mechanism":[99],"integrating":[100],"LLM":[101],"knowledge.":[102],"Robust":[103],"generalization":[104],"achieved":[106,181],"via":[107],"decision-making":[109],"that":[110],"adjusts":[111],"weights":[113],"maximize":[115],"accuracy":[116],"while":[117,197],"providing":[118],"interpretable":[119],"decision":[120],"paths.":[121],"Finally,":[122],"large-small":[123],"model":[124,195],"synergy":[125],"distills":[126],"strategies":[127],"LLMs":[130],"(e.g.,":[131,136],"72B)":[132],"smaller":[134],"ones":[135],"7B),":[137],"reducing":[138],"costs":[139],"enhancing":[141],"performance":[142],"ceilings.":[143],"Extensive":[144],"experiments":[145],"on":[146,155],"global":[148],"datasets":[149],"show":[150],"outperforms":[152],"state-of-the-art":[153],"baselines":[154],"6":[156],"out":[157],"12":[159],"metrics":[160],"(gains":[161],"0.78\\%":[163],"10.47\\%),":[165],"transferability":[167],"tests":[168,185],"confirming":[169],"robustness":[170,189],"regions,":[172,191],"users,":[173],"scales.":[175],"The":[176],"other":[177],"4":[178],"items":[179],"also":[180],"suboptimal":[182],"results.":[183],"Transferability":[184],"confirm":[186],"19":[188],"groups,":[193],"scales,":[196],"20":[199],"analysis":[200],"highlights":[201],"transparency":[203],"decision-making.":[205],"Our":[206],"codes":[207],"are":[208],"available":[209],"at:":[210],"https://anonymous.4open.science/r/ARMove-F847.":[211]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}