{"id":"https://openalex.org/W7161732124","doi":"https://doi.org/10.48550/arxiv.2605.16899","title":"LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map","display_name":"LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161732124","doi":"https://doi.org/10.48550/arxiv.2605.16899"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16899","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16899","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.16899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136464660","display_name":"Jinzhou Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jinzhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109601961","display_name":"Sidi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Sidi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117933573","display_name":"Waikit Xiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiu, Waikit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136488858","display_name":"Weixing Chen","orcid":"https://orcid.org/0000-0003-0772-9825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Weixing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136463871","display_name":"Keze Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Keze","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/T11904","display_name":"Spatial Cognition and Navigation","score":0.37779998779296875,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.37779998779296875,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.25209999084472656,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06279999762773514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.6800000071525574},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6496999859809875},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.6104000210762024},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.6080999970436096},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5940999984741211},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5867000222206116},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5296000242233276},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.5040000081062317},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48829999566078186},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361000180244446},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.6800000071525574},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6496999859809875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.629800021648407},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.6104000210762024},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.6080999970436096},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5867000222206116},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.5040000081062317},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.38199999928474426},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.3612000048160553},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34439998865127563},{"id":"https://openalex.org/C96199812","wikidata":"https://www.wikidata.org/wiki/Q2145290","display_name":"Mental representation","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33070001006126404},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3248000144958496},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C2777371692","wikidata":"https://www.wikidata.org/wiki/Q2178611","display_name":"Spatial cognition","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16899","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16899","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16899","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16899","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"A":[0],"fundamental":[1],"challenge":[2],"in":[3,31,119,143],"embodied":[4],"AI":[5],"is":[6,25],"verifying":[7],"if":[8],"agents":[9],"build":[10,122],"internal":[11,128],"models":[12],"of":[13],"spatial":[14,57],"structure":[15],"or":[16,61],"merely":[17],"learn":[18],"to":[19,54,81,103,121],"mimic":[20],"task-specific":[21],"expert":[22],"trajectories.":[23],"This":[24],"critical":[26],"as":[27],"foundational":[28],"approaches":[29],"rooted":[30],"action-centric":[32],"tasks":[33,38],"(e.g.,":[34,39],"VLN)":[35],"and":[36,86,150],"reasoning-centric":[37],"EQA)":[40],"often":[41],"share":[42],"a":[43,48,77,87,99],"common":[44],"limitation:":[45],"they":[46],"lack":[47],"learning":[49],"signal":[50],"that":[51,137,156],"forces":[52],"them":[53],"encode":[55],"fine-grained":[56],"relationships":[58],"(like":[59],"topology":[60],"distance)":[62],"over":[63],"long-range,":[64],"fragmented":[65],"experiences.":[66,134],"To":[67],"address":[68],"this,":[69],"we":[70],"first":[71],"propose":[72],"LASAR,":[73],"an":[74],"architecture":[75],"featuring":[76],"dual-memory":[78],"system":[79],"designed":[80,102],"maintain":[82],"both":[83,144],"episodic":[84],"experiences":[85],"semantic":[88],"cognitive":[89,112,129,159],"map.":[90],"We":[91,153],"then":[92],"introduce":[93],"Spatio-temporal":[94],"Contextual":[95],"Representation":[96],"Learning":[97],"(ST-CRL),":[98],"contrastive":[100],"objective":[101],"train":[104],"this":[105],"architecture.":[106],"ST-CRL":[107],"leverages":[108],"spatio-temporal":[109,117],"cues":[110],"from":[111,131],"queries":[113],"generated":[114],"through":[115],"annotated":[116],"context":[118],"simulation":[120],"sample":[123],"pairs,":[124],"thereby":[125],"forming":[126],"the":[127,132],"map":[130,160],"agent's":[133],"Experiments":[135],"demonstrate":[136,155],"our":[138,157],"method":[139],"achieves":[140],"2\\%-3.5\\%":[141],"gains":[142],"zero-shot":[145],"generalization":[146],"on":[147],"standard":[148],"VLN-CE":[149],"VSI-Bench":[151],"benchmarks.":[152],"also":[154],"proposed":[158],"has":[161],"high":[162],"self-consistency.":[163]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-20T00:00:00"}