{"id":"https://openalex.org/W7141114410","doi":"https://doi.org/10.48550/arxiv.2603.25692","title":"A Unified Memory Perspective for Probabilistic Trustworthy AI","display_name":"A Unified Memory Perspective for Probabilistic Trustworthy AI","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141114410","doi":"https://doi.org/10.48550/arxiv.2603.25692"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25692","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.25692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065088601","display_name":"Xueji Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xueji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042407218","display_name":"Likai Pei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pei, Likai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130722382","display_name":"Jianbo Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jianbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130807972","display_name":"Kai Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031804347","display_name":"Ningyuan Cao","orcid":"https://orcid.org/0000-0002-5323-1051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Ningyuan","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/T11424","display_name":"Security and Verification in Computing","score":0.7483999729156494,"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/T11424","display_name":"Security and Verification in Computing","score":0.7483999729156494,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.042899999767541885,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.03779999911785126,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7422000169754028},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5648000240325928},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5641999840736389},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.4553000032901764},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4011000096797943},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.358599990606308},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.34369999170303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7422000169754028},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5641999840736389},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46630001068115234},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41499999165534973},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38420000672340393},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.3375000059604645},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3206999897956848},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.31470000743865967},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.3125},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25692","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.25692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25692","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":"Preprint"},"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":{"Trustworthy":[0],"artificial":[1],"intelligence":[2],"increasingly":[3],"relies":[4],"on":[5,100],"probabilistic":[6,133],"computation":[7],"to":[8,41,74,115],"achieve":[9],"robustness,":[10],"interpretability,":[11],"security":[12],"and":[13,32,49,92,118,130],"privacy.":[14],"In":[15],"practical":[16],"systems,":[17],"such":[18],"workloads":[19],"interleave":[20],"deterministic":[21,60],"data":[22,30,48],"access":[23,61],"with":[24,139],"repeated":[25],"stochastic":[26,69,86],"sampling":[27,138],"across":[28],"models,":[29],"paths":[31],"system":[33],"functions,":[34],"shifting":[35],"performance":[36],"bottlenecks":[37],"from":[38],"arithmetic":[39],"units":[40],"memory":[42,140],"systems":[43,95],"that":[44,84,136],"must":[45],"deliver":[46],"both":[47,72],"randomness.":[50],"Here":[51],"we":[52,103,124],"present":[53],"a":[54,65,78],"unified":[55,109],"data-access":[56,90],"perspective":[57],"in":[58],"which":[59],"is":[62],"treated":[63],"as":[64],"limiting":[66],"case":[67],"of":[68,127],"sampling,":[70],"enabling":[71],"modes":[73],"be":[75],"analyzed":[76],"within":[77],"common":[79],"framework.":[80],"This":[81],"view":[82],"reveals":[83],"increasing":[85],"demand":[87],"reduces":[88],"effective":[89],"efficiency":[91],"can":[93],"drive":[94],"into":[96],"entropy-limited":[97],"operation.":[98],"Based":[99],"this":[101],"insight,":[102],"define":[104],"memory-level":[105],"evaluation":[106],"criteria,":[107,123],"including":[108],"operation,":[110],"distribution":[111],"programmability,":[112],"efficiency,":[113],"robustness":[114],"hardware":[116,146],"non-idealities":[117],"parallel":[119],"compatibility.":[120],"Using":[121],"these":[122],"analyze":[125],"limitations":[126],"conventional":[128],"architectures":[129],"examine":[131],"emerging":[132],"compute-in-memory":[134],"approaches":[135],"integrate":[137],"access,":[141],"outlining":[142],"pathways":[143],"toward":[144],"scalable":[145],"for":[147],"trustworthy":[148],"AI.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-28T00:00:00"}