{"id":"https://openalex.org/W7134849916","doi":"https://doi.org/10.48550/arxiv.2603.07039","title":"Self-Supervised Multi-Modal World Model with 4D Space-Time Embedding","display_name":"Self-Supervised Multi-Modal World Model with 4D Space-Time Embedding","publication_year":2026,"publication_date":"2026-03-07","ids":{"openalex":"https://openalex.org/W7134849916","doi":"https://doi.org/10.48550/arxiv.2603.07039"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.07039","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016366262","display_name":"Lance Legel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Legel, Lance","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128642176","display_name":"Qin Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061689562","display_name":"Brandon Voelker","orcid":"https://orcid.org/0009-0002-0220-6224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Voelker, Brandon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017764205","display_name":"Daniel Neamati","orcid":"https://orcid.org/0000-0002-1555-1433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neamati, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128676546","display_name":"Patrick Alan Johnson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnson, Patrick Alan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060297001","display_name":"Favyen Bastani","orcid":"https://orcid.org/0000-0002-1100-4192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bastani, Favyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128631586","display_name":"Jeff Rose","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rose, Jeff","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128646335","display_name":"James Ryan Hennessy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hennessy, James Ryan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128643311","display_name":"Robert Guralnick","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guralnick, Robert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128639620","display_name":"Douglas Soltis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soltis, Douglas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128663505","display_name":"Pamela Soltis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soltis, Pamela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127325799","display_name":"Shaowen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shaowen","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30918221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.15770000219345093,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.15770000219345093,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0957999974489212,"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/T11448","display_name":"Face recognition and analysis","score":0.08649999648332596,"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/hash-function","display_name":"Hash function","score":0.6258999705314636},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.589900016784668},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.578000009059906},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5198000073432922},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5097000002861023},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.40560001134872437},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.3547999858856201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695900022983551},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6258999705314636},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.589900016784668},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5206000208854675},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5198000073432922},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42829999327659607},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.07039","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.07039","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07039","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":"pmh:doi:10.48550/arxiv.2603.07039","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":[0,52],"present":[1],"DeepEarth,":[2],"a":[3,10,72],"self-supervised":[4],"multi-modal":[5,73],"world":[6],"model":[7,75],"with":[8,33,44,67],"Earth4D,":[9],"novel":[11],"planetary-scale":[12],"4D":[13],"space-time":[14],"positional":[15],"encoder.":[16],"Earth4D":[17,45,66],"extends":[18],"3D":[19],"multi-resolution":[20],"hash":[21,69],"encoding":[22],"to":[23],"include":[24],"time,":[25],"efficiently":[26],"scaling":[27],"across":[28],"the":[29],"planet":[30],"over":[31],"centuries":[32],"sub-meter,":[34],"sub-second":[35],"precision.":[36],"Multi-modal":[37],"encoders":[38],"(e.g.":[39],"vision-language":[40],"models)":[41],"are":[42],"fused":[43],"embeddings":[46],"and":[47,85],"trained":[48],"via":[49],"masked":[50],"reconstruction.":[51],"demonstrate":[53],"Earth4D's":[54],"expressive":[55],"power":[56],"by":[57],"achieving":[58],"state-of-the-art":[59],"performance":[60],"on":[61,77],"an":[62],"ecological":[63],"forecasting":[64],"benchmark.":[65],"learnable":[68],"probing":[70],"surpasses":[71],"foundation":[74],"pre-trained":[76],"substantially":[78],"more":[79],"data.":[80],"Access":[81],"open":[82],"source":[83],"code":[84],"download":[86],"models":[87],"at:":[88],"https://github.com/legel/deepearth":[89]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-11T00:00:00"}