{"id":"https://openalex.org/W7150897020","doi":"https://doi.org/10.48550/arxiv.2604.02719","title":"MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications","display_name":"MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150897020","doi":"https://doi.org/10.48550/arxiv.2604.02719"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02719","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":"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.2604.02719","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091764885","display_name":"Mirali Purohit","orcid":"https://orcid.org/0009-0009-0354-4920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Purohit, Mirali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091921005","display_name":"Bimal Gajera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gajera, Bimal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001859308","display_name":"Irish Mehta","orcid":"https://orcid.org/0000-0002-7001-258X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehta, Irish","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133044024","display_name":"Bhanu Tokas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tokas, Bhanu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051175163","display_name":"Jacob Adler","orcid":"https://orcid.org/0000-0002-4722-2909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adler, Jacob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133010490","display_name":"Steven Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Steven","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056238877","display_name":"S. Dickenshied","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dickenshied, Scott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133044602","display_name":"Serina Diniega","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diniega, Serina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061307853","display_name":"Brian Bue","orcid":"https://orcid.org/0000-0002-7856-3570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bue, Brian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059109397","display_name":"Umaa Rebbapragada","orcid":"https://orcid.org/0000-0002-2560-3495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rebbapragada, Umaa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053180513","display_name":"Hannah Kerner","orcid":"https://orcid.org/0000-0002-3259-7759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kerner, Hannah","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/T10406","display_name":"Planetary Science and Exploration","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11012","display_name":"Gas Dynamics and Kinetic Theory","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.753000020980835},{"id":"https://openalex.org/keywords/martian","display_name":"Martian","score":0.6169999837875366},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4607999920845032},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.3718000054359436},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3718000054359436},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.34470000863075256}],"concepts":[{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.753000020980835},{"id":"https://openalex.org/C2778600265","wikidata":"https://www.wikidata.org/wiki/Q913850","display_name":"Martian","level":3,"score":0.6169999837875366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071000099182129},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5304999947547913},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44780001044273376},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.314300000667572},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30799999833106995},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C68702407","wikidata":"https://www.wikidata.org/wiki/Q716774","display_name":"Exploration of Mars","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29179999232292175},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02719","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":"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.2604.02719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02719","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":"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":{"We":[0,80],"introduce":[1],"MOMO,":[2],"the":[3],"first":[4],"multi-sensor":[5],"foundation":[6,118,154],"model":[7,14,140,160],"for":[8,152,156],"Mars":[9,95],"remote":[10],"sensing.":[11],"MOMO":[12,82,107,129],"uses":[13],"merge":[15],"to":[16,35,39,75,113],"integrate":[17],"representations":[18],"learned":[19],"independently":[20],"from":[21,32,94,105],"three":[22],"key":[23],"Martian":[24],"sensors":[25,54],"(HiRISE,":[26],"CTX,":[27],"and":[28,78,98,122,132,166],"THEMIS),":[29],"spanning":[30],"resolutions":[31],"0.25":[33],"m/pixel":[34],"100":[36],"m/pixel.":[37],"Central":[38],"our":[40,43],"method":[41],"is":[42],"novel":[44],"Equal":[45],"Validation":[46],"Loss":[47],"(EVL)":[48],"strategy,":[49],"which":[50],"aligns":[51],"checkpoints":[52],"across":[53],"based":[55],"on":[56,83,101,126],"validation":[57],"loss":[58],"similarity":[59],"before":[60],"fusion":[61],"via":[62],"task":[63],"arithmetic.":[64],"This":[65],"ensures":[66],"models":[67,155],"are":[68,169],"merged":[69],"at":[70],"compatible":[71],"convergence":[72],"stages,":[73],"leading":[74],"improved":[76],"stability":[77],"generalization.":[79],"train":[81],"a":[84],"large-scale,":[85],"high-quality":[86],"corpus":[87],"of":[88],"$\\sim":[89],"12$":[90],"million":[91],"samples":[92],"curated":[93],"orbital":[96],"data":[97],"evaluate":[99],"it":[100],"9":[102],"downstream":[103],"tasks":[104],"Mars-Bench.":[106],"achieves":[108],"better":[109],"overall":[110],"performance":[111,134],"compared":[112],"ImageNet":[114],"pre-trained,":[115],"earth":[116],"observation":[117],"model,":[119],"sensor-specific":[120],"pre-training,":[121],"fully-supervised":[123],"baselines.":[124],"Particularly":[125],"segmentation":[127],"tasks,":[128],"shows":[130],"consistent":[131],"significant":[133],"improvement.":[135],"Our":[136],"results":[137],"demonstrate":[138],"that":[139],"merging":[141],"through":[142],"an":[143,149],"optimal":[144],"checkpoint":[145],"selection":[146],"strategy":[147],"provides":[148],"effective":[150],"approach":[151],"building":[153],"multi-resolution":[157],"data.":[158],"The":[159],"weights,":[161],"pretraining":[162,164],"code,":[163],"data,":[165],"evaluation":[167],"code":[168],"available":[170],"at:":[171],"https://github.com/kerner-lab/MOMO.":[172]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-07T00:00:00"}
