{"id":"https://openalex.org/W7171492716","doi":"https://doi.org/10.48550/arxiv.2607.23835","title":"Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations","display_name":"Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations","publication_year":2026,"publication_date":"2026-07-26","ids":{"openalex":"https://openalex.org/W7171492716","doi":"https://doi.org/10.48550/arxiv.2607.23835"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.23835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23835","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.2607.23835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101404574","display_name":"Xianghao Jiao","orcid":"https://orcid.org/0009-0004-1032-169X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Xianghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143785048","display_name":"Ruoyu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ruoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143778520","display_name":"Wei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143813943","display_name":"Jiazi Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Jiazi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143803112","display_name":"Jiawei Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Jiawei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143775948","display_name":"Shangquan Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Shangquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143866920","display_name":"Shiming Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143825216","display_name":"Qunli Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Qunli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143764882","display_name":"Xiaochun Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Xiaochun","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.25760000944137573,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.25760000944137573,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.24560000002384186,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15219999849796295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/attribution","display_name":"Attribution","score":0.7752000093460083},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5929999947547913},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.571399986743927},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.4650999903678894},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46380001306533813},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43220001459121704}],"concepts":[{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.7752000093460083},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5929999947547913},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46380001306533813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43709999322891235},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43220001459121704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41909998655319214},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2540000081062317},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.23835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23835","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.2607.23835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.23835","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/10","score":0.5820148587226868,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Attribution":[0,21],"methods":[1,51],"are":[2],"widely":[3],"used":[4],"to":[5,15,138,207],"characterize":[6],"the":[7,45,71,101,135,140,144,160,204],"evidence":[8,30,46,106,213],"underlying":[9,72],"model":[10,17,99],"predictions,":[11],"yet":[12],"their":[13],"potential":[14],"improve":[16],"behavior":[18],"remains":[19],"underexplored.":[20],"inconsistency":[22],"under":[23],"label-preserving":[24],"geometric":[25],"transformations":[26],"may":[27],"indicate":[28],"transformation-sensitive":[29],"reliance,":[31],"motivating":[32],"attribution":[33,42,64,83,174],"regularization.":[34],"However,":[35],"such":[36,56],"supervision":[37],"is":[38],"valid":[39],"only":[40,182],"when":[41],"faithfully":[43],"reflects":[44],"driving":[47],"predictions.":[48],"Existing":[49],"self-supervised":[50],"typically":[52],"align":[53,124],"gradient-based":[54],"maps":[55],"as":[57,107],"Grad-CAM,":[58],"whose":[59],"limited":[60],"faithfulness":[61],"means":[62],"that":[63,122,169],"consistency":[65,69],"need":[66],"not":[67],"imply":[68],"of":[70],"decision":[73],"process,":[74],"leaving":[75],"transformation":[76],"robustness":[77],"unresolved.":[78],"We":[79,110],"propose":[80],"an":[81],"annotation-free":[82],"regularization":[84],"framework":[85],"based":[86],"on":[87,166,179,190,198],"submodular":[88,114],"search":[89,102,131],"over":[90],"image":[91],"regions.":[92],"By":[93],"measuring":[94],"how":[95],"candidate":[96,127],"subsets":[97],"affect":[98],"outputs,":[100],"extracts":[103],"compact,":[104],"class-discriminative":[105],"search-derived":[108],"supervision.":[109],"further":[111],"introduce":[112],"a":[113,151,183],"ranking":[115],"loss":[116,149],"with":[117,181,187,215],"path-consistency":[118],"and":[119,133,159,177,200],"termination-alignment":[120],"terms":[121],"respectively":[123],"spatially":[125],"corresponding":[126],"rankings":[128],"along":[129],"paired":[130],"trajectories":[132],"encourage":[134],"transformed":[136],"trajectory":[137],"satisfy":[139],"stopping":[141],"criterion":[142],"at":[143],"target":[145],"terminal":[146],"step.":[147],"The":[148],"provides":[150],"differentiable":[152],"surrogate":[153],"for":[154],"regularizing":[155],"both":[156],"final":[157],"attributions":[158],"otherwise":[161],"discrete":[162],"evidence-selection":[163],"process.":[164],"Experiments":[165],"ImageNet-100":[167],"show":[168],"our":[170],"method":[171],"substantially":[172],"improves":[173,195],"stability,":[175],"Insertion,":[176],"Deletion":[178],"ViT-B/16":[180],"0.28-point":[184],"accuracy":[185,197],"drop,":[186],"similar":[188],"gains":[189],"ViT-L/16.":[191],"On":[192],"ImageNet-1K,":[193],"it":[194],"transformed-input":[196],"ResNet-50":[199],"ConvNeXt-B":[201],"while":[202],"limiting":[203],"clean-accuracy":[205],"drop":[206],"0.30":[208],"points,":[209],"demonstrating":[210],"more":[211],"consistent":[212],"reliance":[214],"minimal":[216],"performance":[217],"loss.":[218],"Code":[219],"will":[220],"be":[221],"released":[222],"soon.":[223]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}
