{"id":"https://openalex.org/W7147273934","doi":"https://doi.org/10.48550/arxiv.2603.29353","title":"Nomad: Autonomous Exploration and Discovery","display_name":"Nomad: Autonomous Exploration and Discovery","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147273934","doi":"https://doi.org/10.48550/arxiv.2603.29353"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29353","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29353","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.2603.29353","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132652968","display_name":"Bokang Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Bokang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132590332","display_name":"Samta Kamboj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kamboj, Samta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132638217","display_name":"Satheesh Katipomu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katipomu, Satheesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132664550","display_name":"Seung Hun Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Seung Hun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132584239","display_name":"Neha Sengupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sengupta, Neha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132558096","display_name":"Andrew Jackson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jackson, Andrew","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/T13274","display_name":"Expert finding and Q&A systems","score":0.3605000078678131,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.3605000078678131,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.10040000081062317,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13194","display_name":"ICT in Developing Communities","score":0.08089999854564667,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/framing","display_name":"Framing (construction)","score":0.47350001335144043},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4320000112056732},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3959999978542328},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.3921000063419342},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.32899999618530273},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.3093999922275543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880000233650208},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5364000201225281},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4602999985218048},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42719998955726624},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.3093999922275543},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C9628104","wikidata":"https://www.wikidata.org/wiki/Q788009","display_name":"Autonomous system (mathematics)","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29353","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29353","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.2603.29353","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29353","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":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46633970737457275}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,130],"introduce":[1],"Nomad,":[2],"a":[3,13,38,120,133,149,180],"system":[4],"for":[5,137],"autonomous":[6,138,183],"data":[7,20],"exploration":[8],"and":[9,43,52,78,85,89,92,106,127,146,154,164,202],"insight":[10,59],"discovery.":[11],"Given":[12],"corpus":[14,150],"of":[15,28,151],"documents,":[16],"databases,":[17],"or":[18,31,191],"other":[19],"sources,":[21],"users":[22],"rarely":[23],"know":[24],"the":[25,57,76,208],"full":[26],"set":[27],"questions,":[29,199],"hypotheses,":[30],"connections":[32],"that":[33,99,123,141,159,185],"could":[34],"be":[35],"explored.":[36],"As":[37],"result,":[39],"query-driven":[40],"question":[41],"answering":[42],"prompt-driven":[44],"deep-research":[45],"systems":[46,140,184],"remain":[47],"limited":[48],"by":[49,114],"human":[50],"framing":[51],"often":[53],"fail":[54],"to":[55,82],"cover":[56],"broader":[58],"space.":[60],"Nomad":[61,160,178],"addresses":[62],"this":[63],"problem":[64],"with":[65,95],"an":[66,71,96,115],"exploration-first":[67],"architecture.":[68],"It":[69,87],"constructs":[70],"explicit":[72],"Exploration":[73],"Map":[74],"over":[75,175],"domain":[77],"systematically":[79],"traverses":[80],"it":[81],"balance":[83],"breadth":[84],"depth.":[86],"generates":[88],"selects":[90],"hypotheses":[91],"investigates":[93],"them":[94],"explorer":[97],"agent":[98],"can":[100],"use":[101],"document":[102],"search,":[103,105],"web":[104],"database":[107],"tools.":[108],"Candidate":[109],"insights":[110,174,203],"are":[111,204],"then":[112],"checked":[113],"independent":[116],"verifier":[117],"before":[118],"entering":[119],"reporting":[121],"pipeline":[122],"produces":[124,161],"cited":[125],"reports":[126,166],"higher-level":[128],"meta-reports.":[129],"also":[131,170,196],"present":[132],"comprehensive":[134],"evaluation":[135],"framework":[136],"discovery":[139],"measures":[142],"trustworthiness,":[143],"report":[144],"quality,":[145],"diversity.":[147],"Using":[148],"selected":[152],"UN":[153],"WHO":[155],"reports,":[156],"we":[157],"show":[158],"more":[162,172],"trustworthy":[163],"higher-quality":[165],"than":[167],"baselines,":[168],"while":[169],"producing":[171],"diverse":[173],"several":[176],"runs.":[177],"is":[179],"step":[181],"toward":[182],"not":[186],"only":[187],"answer":[188],"user":[189],"questions":[190],"conduct":[192],"directed":[193],"research,":[194],"but":[195],"discover":[197],"which":[198],"research":[200],"directions,":[201],"worth":[205],"surfacing":[206],"in":[207],"first":[209],"place.":[210]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-02T00:00:00"}