{"id":"https://openalex.org/W7148453008","doi":"https://doi.org/10.48550/arxiv.2604.00362","title":"In harmony with gpt-oss","display_name":"In harmony with gpt-oss","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148453008","doi":"https://doi.org/10.48550/arxiv.2604.00362"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00362","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.00362","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035623414","display_name":"Borislav Mavrin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mavrin, Borislav","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035623414"],"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/T10028","display_name":"Topic Modeling","score":0.09390000253915787,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.09390000253915787,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.07989999651908875,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.039900001138448715,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/harmony","display_name":"Harmony (color)","score":0.8716999888420105},{"id":"https://openalex.org/keywords/reproduction","display_name":"Reproduction","score":0.25999999046325684},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.25040000677108765},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.2443999946117401}],"concepts":[{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.8716999888420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293999910354614},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3711000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C59659247","wikidata":"https://www.wikidata.org/wiki/Q11990","display_name":"Reproduction","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25929999351501465},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.2443999946117401}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00362","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00362","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"No":[0],"one":[1],"has":[2],"independently":[3],"reproduced":[4],"OpenAI's":[5,85],"published":[6,86],"scores":[7],"for":[8],"gpt-oss-20b":[9],"with":[10,43,102],"tools,":[11],"because":[12],"the":[13,18,21,26,67,72,80],"original":[14],"paper":[15],"discloses":[16],"neither":[17],"tools":[19,38,103],"nor":[20],"agent":[22,60],"harness.":[23],"We":[24,54],"reverse-engineered":[25],"model's":[27,68],"in-distribution":[28],"tools:":[29],"when":[30],"prompted":[31],"without":[32],"tool":[33],"definitions,":[34],"gpt-oss":[35],"still":[36],"calls":[37],"from":[39],"its":[40],"training":[41],"distribution":[42],"high":[44],"statistical":[45],"confidence":[46],"--":[47],"a":[48,52,57],"strong":[49],"prior,":[50],"not":[51],"hallucination.":[53],"then":[55],"built":[56],"native":[58,69],"harmony":[59],"harness":[61],"(https://github.com/borislavmavrin/harmonyagent.git)":[62],"that":[63],"encodes":[64],"messages":[65],"in":[66],"format,":[70],"bypassing":[71],"lossy":[73],"Chat":[74],"Completions":[75],"conversion.":[76],"Together,":[77],"these":[78],"yield":[79],"first":[81],"independent":[82],"reproduction":[83],"of":[84],"scores:":[87],"60.4%":[88],"on":[89,100],"SWE":[90],"Verified":[91],"HIGH":[92],"(published":[93],"60.7%),":[94],"53.3%":[95],"MEDIUM":[96],"(53.2%),":[97],"and":[98],"91.7%":[99],"AIME25":[101],"(90.4%).":[104]},"counts_by_year":[],"updated_date":"2026-04-03T16:44:17.987007","created_date":"2026-04-03T00:00:00"}