{"id":"https://openalex.org/W7155054042","doi":"https://doi.org/10.48550/arxiv.2604.17184","title":"SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair","display_name":"SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155054042","doi":"https://doi.org/10.48550/arxiv.2604.17184"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17184","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.2604.17184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134179977","display_name":"Yifan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134120680","display_name":"Jieyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jieyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134177250","display_name":"Kexin Pei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pei, Kexin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134139288","display_name":"Yu Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030030910","display_name":"Kevin Leach","orcid":"https://orcid.org/0000-0002-4001-3442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leach, Kevin","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/T10260","display_name":"Software Engineering Research","score":0.24169999361038208,"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/T10260","display_name":"Software Engineering Research","score":0.24169999361038208,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.21140000224113464,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11424","display_name":"Security and Verification in Computing","score":0.1395999938249588,"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/correctness","display_name":"Correctness","score":0.7401000261306763},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6556000113487244},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5644999742507935},{"id":"https://openalex.org/keywords/router","display_name":"Router","score":0.4239000082015991},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.400299996137619},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3222000002861023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454000115394592},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7401000261306763},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6556000113487244},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5644999742507935},{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C133237599","wikidata":"https://www.wikidata.org/wiki/Q2295111","display_name":"Code smell","level":5,"score":0.27559998631477356},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17184","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.2604.17184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17184","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":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"can":[4],"generate":[5],"plausible":[6],"code":[7,99,134],"patches,":[8],"but":[9],"plausibility":[10],"is":[11],"not":[12],"enough":[13],"for":[14,53,61],"automated":[15],"repair:":[16],"a":[17,31,45,94],"patch":[18],"must":[19],"compile,":[20],"pass":[21],"tests,":[22],"and":[23,57,77,105,114,127,135],"remove":[24],"the":[25,86],"target":[26],"vulnerability.":[27],"We":[28],"present":[29],"SynthFix,":[30],"neuro-symbolic":[32],"repair":[33,38,55,110],"framework":[34],"that":[35,63],"combines":[36,70],"supervised":[37],"learning":[39],"with":[40,117],"compiler-informed":[41],"feedback.":[42,67],"During":[43],"training,":[44],"lightweight":[46],"router":[47],"selects":[48],"between":[49],"Supervised":[50],"Fine-Tuning":[51,59],"(SFT)":[52],"common":[54],"patterns":[56],"Reward":[58],"(RFT)":[60],"examples":[62],"benefit":[64],"from":[65],"symbolic":[66],"The":[68],"reward":[69],"static":[71],"structure,":[72],"lint/compile":[73],"checks,":[74],"security":[75,131],"scanning,":[76],"public":[78],"execution":[79],"tests":[80],"where":[81],"available;":[82],"at":[83,139],"inference":[84],"time,":[85],"same":[87],"evidence":[88],"guides":[89],"best-of-K":[90],"candidate":[91],"selection":[92],"under":[93],"greedy":[95],"floor.":[96],"Across":[97],"five":[98],"LLMs":[100],"(1.3B-7B)":[101],"on":[102],"pyrepair,":[103],"CodeFlaws,":[104],"SVEN,":[106],"SynthFix":[107],"improves":[108],"deployable":[109],"metrics":[111],"over":[112],"SFT-only":[113],"RFT-only":[115],"baselines,":[116],"relative":[118],"gains":[119],"up":[120],"to":[121],"54":[122],"percent":[123,129],"in":[124,130],"functional":[125],"correctness":[126],"14":[128],"clearance.":[132],"Our":[133],"data":[136],"are":[137],"available":[138],"https://github.com/CoderDoge1108/SynthFix.":[140]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-22T00:00:00"}