{"id":"https://openalex.org/W7163519647","doi":"https://doi.org/10.48550/arxiv.2606.05145","title":"Failed Reasoning Traces Tell You What Is Fixable (But Not by Reading Them)","display_name":"Failed Reasoning Traces Tell You What Is Fixable (But Not by Reading Them)","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163519647","doi":"https://doi.org/10.48550/arxiv.2606.05145"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05145","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05145","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.2606.05145","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120467705","display_name":"Nizar Islah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Islah, Nizar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181192","display_name":"Istabrak Abbes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbes, Istabrak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055430458","display_name":"Irina Rish","orcid":"https://orcid.org/0000-0001-6856-5057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rish, Irina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137890719","display_name":"Sarath Chandar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandar, Sarath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091722347","display_name":"Eilif M\u00fcller","orcid":"https://orcid.org/0000-0003-4309-8266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muller, Eilif B.","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/T10181","display_name":"Natural Language Processing Techniques","score":0.2540000081062317,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.2540000081062317,"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/T10028","display_name":"Topic Modeling","score":0.22190000116825104,"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/T13629","display_name":"Text Readability and Simplification","score":0.053199999034404755,"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/routing","display_name":"Routing (electronic design automation)","score":0.5062999725341797},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.49390000104904175},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.45910000801086426},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4320000112056732},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.3953999876976013},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.367900013923645},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.3483000099658966},{"id":"https://openalex.org/keywords/bracketing","display_name":"Bracketing (phenomenology)","score":0.29600000381469727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6437000036239624},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334000051021576},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4320000112056732},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C102944935","wikidata":"https://www.wikidata.org/wiki/Q4953701","display_name":"Bracketing (phenomenology)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05145","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05145","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.2606.05145","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05145","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/4","score":0.42848271131515503,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"When":[0],"post-trained":[1],"language":[2],"models":[3],"fail":[4],"on":[5,17,131],"reasoning":[6],"problems,":[7],"the":[8,21,63,81,90,106,132,150],"common":[9],"test-time-scaling":[10],"response":[11],"is":[12,139,145],"to":[13],"spend":[14],"more":[15,42],"compute":[16],"additional":[18],"attempts,":[19],"and":[20,49,120,141,149,176],"failed":[22,58,94,164],"traces":[23,59,165],"play":[24],"no":[25],"further":[26],"role.":[27],"We":[28,55],"argue":[29],"this":[30,87],"discards":[31],"a":[32,72,117,122,142,170],"crucial":[33],"signal;":[34],"some":[35],"failures":[36,101],"come":[37],"from":[38,80,89,166],"unlucky":[39],"sampling,":[40],"where":[41,137],"rollouts":[43],"help,":[44],"while":[45],"others":[46],"are":[47],"structural":[48],"resist":[50],"resampling":[51],"regardless":[52],"of":[53,66,83,93,109],"budget.":[54],"propose":[56],"that":[57,126],"encode":[60],"recoverability":[61],"structure:":[62],"inference-time":[64],"signature":[65,92],"which":[67],"test-time":[68,174],"interventions":[69],"can":[70],"rescue":[71,128],"given":[73],"failure.":[74],"Three":[75],"problem-level":[76],"trajectory":[77],"features,":[78],"derived":[79],"structure":[82,88],"available":[84],"interventions,":[85],"recover":[86],"distributional":[91],"rollouts,":[95],"not":[96],"their":[97],"text.":[98],"They":[99],"cluster":[100],"into":[102,169],"stable":[103],"regimes,":[104],"characterize":[105],"failure":[107],"topography":[108],"different":[110],"post-training":[111,177],"methods":[112],"($84.3{\\pm}4.3\\%$":[113],"accuracy,":[114],"$+20\\%$":[115],"over":[116],"majority-class":[118],"baseline),":[119],"support":[121],"training-free":[123],"routing":[124,151,175],"rule":[125,152],"lifts":[127],"by":[129],"$+12.2\\%$":[130],"deployment-relevant":[133],"Steerable-Hard":[134],"subset":[135],"(failures":[136],"retry":[138],"insufficient":[140],"bounded":[143],"intervention":[144],"reachable).":[146],"The":[147,158],"features":[148,161],"transfer":[153],"across":[154],"two":[155],"cross-family":[156],"probes.":[157],"same":[159],"three":[160],"thus":[162],"convert":[163],"discarded":[167],"data":[168],"diagnostic":[171],"object,":[172],"supporting":[173],"analysis":[178],"without":[179],"training-time":[180],"or":[181],"weight-space":[182],"access.":[183]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-05T00:00:00"}