{"id":"https://openalex.org/W7164918086","doi":"https://doi.org/10.48550/arxiv.2606.14997","title":"AI Engram: In Search of Memory Traces in Artificial Intelligence","display_name":"AI Engram: In Search of Memory Traces in Artificial Intelligence","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164918086","doi":"https://doi.org/10.48550/arxiv.2606.14997"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14997","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.14997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055729234","display_name":"Jea Kwon","orcid":"https://orcid.org/0000-0003-4318-4383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwon, Jea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067952226","display_name":"Dong-Kyum Kim","orcid":"https://orcid.org/0000-0001-6630-2181"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Dong-Kyum","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138738662","display_name":"Jiwon Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jiwon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138727981","display_name":"Yonghyun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yonghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025355311","display_name":"Woong Kook","orcid":"https://orcid.org/0000-0002-2931-1297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kook, Woong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138721449","display_name":"Meeyoung Cha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cha, Meeyoung","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/T10581","display_name":"Neural dynamics and brain function","score":0.1453000009059906,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.1453000009059906,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.12870000302791595,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.07959999889135361,"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/engram","display_name":"Engram","score":0.6585999727249146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5440999865531921},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5256999731063843},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.51910001039505},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49639999866485596},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.4442000091075897},{"id":"https://openalex.org/keywords/artificial-general-intelligence","display_name":"Artificial general intelligence","score":0.43560001254081726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3970000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386999726295471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.699400007724762},{"id":"https://openalex.org/C28093023","wikidata":"https://www.wikidata.org/wiki/Q175168","display_name":"Engram","level":2,"score":0.6585999727249146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5256999731063843},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.4442000091075897},{"id":"https://openalex.org/C162027153","wikidata":"https://www.wikidata.org/wiki/Q2264109","display_name":"Artificial general intelligence","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35589998960494995},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32280001044273376},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14997","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.14997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14997","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":"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":{"Memory":[0],"formation":[1],"is":[2],"fundamental":[3],"to":[4,16,30,72,109],"intelligence,":[5],"yet":[6],"whether":[7],"deep":[8,139],"neural":[9],"networks":[10,140],"preserve":[11],"identifiable":[12],"memory":[13,18,59,128],"traces":[14,60],"analogous":[15],"biological":[17,127],"units":[19],"remains":[20],"an":[21],"open":[22],"question.":[23],"This":[24],"work":[25],"introduces":[26],"a":[27,47,53,73],"geometric":[28,135],"framework":[29],"identify":[31],"such":[32],"\"AI":[33],"engrams\"":[34],"by":[35],"formalizing":[36],"the":[37,78,112],"neuroscientific":[38],"criteria":[39],"of":[40,86,91,118,126],"specificity,":[41],"reactivation,":[42],"sufficiency,":[43],"and":[44,65,115,129,133],"necessity":[45],"into":[46,137],"constrained":[48],"inverse":[49],"problem.":[50],"We":[51],"derive":[52],"closed-form":[54],"estimator":[55],"that":[56,67],"isolates":[57],"individual":[58],"from":[61,106],"globally":[62],"entangled":[63],"parameters,":[64],"show":[66],"this":[68],"biologically-derived":[69],"solution":[70],"corresponds":[71],"natural":[74],"gradient":[75],"update":[76],"on":[77],"parameter":[79],"manifold.":[80],"AI":[81,119],"engrams":[82],"enable":[83],"surgical":[84],"manipulation":[85],"learned":[87],"knowledge:":[88],"any":[89],"subset":[90],"memories":[92],"can":[93],"be":[94],"composed":[95],"or":[96],"erased":[97],"through":[98],"linear":[99],"arithmetic,":[100],"without":[101],"iterative":[102],"optimization.":[103],"Experiments":[104],"ranging":[105],"simple":[107],"MLPs":[108],"LLMs":[110],"demonstrate":[111],"causal":[113],"validity":[114],"substantial":[116],"scalability":[117],"engrams.":[120],"Together,":[121],"these":[122],"results":[123],"bridge":[124],"theories":[125],"artificial":[130],"representation":[131],"learning":[132],"offer":[134],"insight":[136],"how":[138],"simultaneously":[141],"support":[142],"functional":[143],"specificity":[144],"within":[145],"distributed":[146],"storage.":[147]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}