{"id":"https://openalex.org/W7147387398","doi":"https://doi.org/10.48550/arxiv.2603.26829","title":"Squish and Release: Exposing Hidden Hallucinations by Making Them Surface as Safety Signals","display_name":"Squish and Release: Exposing Hidden Hallucinations by Making Them Surface as Safety Signals","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7147387398","doi":"https://doi.org/10.48550/arxiv.2603.26829"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.26829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26829","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":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.2603.26829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132592098","display_name":"Nathaniel Oh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Oh, Nathaniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132564839","display_name":"Paul Attie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Attie, Paul","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5132592098"],"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2305999994277954,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2305999994277954,"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":0.14390000700950623,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0786999985575676,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6165000200271606},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5986999869346619},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5640000104904175},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42149999737739563},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42010000348091125},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.38760000467300415},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.3345000147819519},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3249000012874603}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5986999869346619},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5260999798774719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440000057220459},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39309999346733093},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2971999943256378},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2780371621","wikidata":"https://www.wikidata.org/wiki/Q3709910","display_name":"Disconnection","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.26829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26829","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.26829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26829","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4851638972759247,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Language":[0],"models":[1],"detect":[2],"false":[3],"premises":[4],"when":[5],"asked":[6],"directly":[7],"but":[8,48],"absorb":[9,96],"them":[10],"under":[11],"conversational":[12],"pressure,":[13],"producing":[14],"authoritative":[15],"professional":[16],"output":[17,33],"built":[18],"on":[19,102],"errors":[20],"they":[21],"already":[22],"identified.":[23],"This":[24],"failure":[25],"-":[26,29,109,182,190],"order-gap":[27],"hallucination":[28],"is":[30,122,131,154,167,179,192],"invisible":[31],"to":[32],"inspection":[34],"because":[35],"the":[36,40,44,69,89,106,128,155,180],"error":[37],"migrates":[38],"into":[39],"activation":[41,80],"space":[42],"of":[43,150],"safety":[45,71,86],"circuit,":[46],"suppressed":[47],"not":[49],"erased.":[50],"We":[51,100],"introduce":[52],"Squish":[53],"and":[54,74,133,164,186],"Release":[55],"(S&R),":[56],"an":[57,95],"activation-patching":[58],"architecture":[59],"with":[60],"two":[61],"components:":[62],"a":[63,75,144],"fixed":[64],"detector":[65,77,129],"body":[66,130],"(layers":[67,135],"24-31,":[68],"localized":[70,134],"evaluation":[72],"circuit)":[73],"swappable":[76],"core":[78,87,97,147,170,174,187],"(an":[79],"vector":[81],"controlling":[82],"perception":[83],"direction).":[84],"A":[85],"shifts":[88],"model":[90],"from":[91],"compliance":[92,125],"toward":[93],"detection;":[94],"reverses":[98],"it.":[99],"evaluate":[101],"OLMo-2":[103],"7B":[104],"using":[105],"Order-Gap":[107],"Benchmark":[108],"500":[110,113],"chains":[111],"across":[112],"domains,":[114],"all":[115],"manually":[116],"graded.":[117],"Key":[118],"findings:":[119],"cascade":[120],"collapse":[121],"near-total":[123],"(99.8%":[124],"at":[126],"O5);":[127],"binary":[132],"24-31":[136],"shift":[137],"93.6%,":[138],"layers":[139],"0-23":[140],"contribute":[141],"zero,":[142],"p<10^-189);":[143],"synthetically":[145],"engineered":[146],"releases":[148,171,175],"76.6%":[149],"collapsed":[151],"chains;":[152],"detection":[153],"more":[156],"stable":[157],"attractor":[158],"(83%":[159],"restore":[160],"vs":[161],"58%":[162],"suppress);":[163],"epistemic":[165],"specificity":[166],"confirmed":[168],"(false-premise":[169],"45.4%,":[172],"true-premise":[173],"0.0%).":[176],"The":[177],"contribution":[178],"framework":[181],"body/core":[183],"architecture,":[184],"benchmark,":[185],"engineering":[188],"methodology":[189],"which":[191],"model-agnostic":[193],"by":[194],"design.":[195]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}