{"id":"https://openalex.org/W7164192805","doi":"https://doi.org/10.48550/arxiv.2606.10694","title":"REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMs","display_name":"REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMs","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164192805","doi":"https://doi.org/10.48550/arxiv.2606.10694"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.10694","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10694","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","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.2606.10694","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102571256","display_name":"Keer Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Keer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138352631","display_name":"Liwei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Liwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138296069","display_name":"Guoqing Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Guoqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130161178","display_name":"Zhiheng Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Zhiheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082653046","display_name":"Yunhuai Liu","orcid":"https://orcid.org/0000-0002-1180-8078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yunhuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138347885","display_name":"Wentao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wentao","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/T10028","display_name":"Topic Modeling","score":0.49720001220703125,"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/T10028","display_name":"Topic Modeling","score":0.49720001220703125,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.14890000224113464,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.04800000041723251,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6255000233650208},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.5616000294685364},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5450000166893005},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48989999294281006},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.44940000772476196},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43470001220703125},{"id":"https://openalex.org/keywords/memory-errors","display_name":"Memory errors","score":0.4235000014305115},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.385699987411499},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3686999976634979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423999905586243},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6255000233650208},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.5616000294685364},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5450000166893005},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48989999294281006},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.44940000772476196},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C119907115","wikidata":"https://www.wikidata.org/wiki/Q6815725","display_name":"Memory errors","level":3,"score":0.4235000014305115},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.385699987411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.359499990940094},{"id":"https://openalex.org/C112049663","wikidata":"https://www.wikidata.org/wiki/Q18608","display_name":"Explicit memory","level":4,"score":0.3571999967098236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C30390489","wikidata":"https://www.wikidata.org/wiki/Q4680748","display_name":"Adaptive memory","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C74426580","wikidata":"https://www.wikidata.org/wiki/Q719484","display_name":"Memory map","level":3,"score":0.3257000148296356},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C58632812","wikidata":"https://www.wikidata.org/wiki/Q7936625","display_name":"Visual short-term memory","level":4,"score":0.3151000142097473},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C24590219","wikidata":"https://www.wikidata.org/wiki/Q18601","display_name":"Long-term memory","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C39528615","wikidata":"https://www.wikidata.org/wiki/Q1229610","display_name":"Distributed shared memory","level":5,"score":0.2703999876976013},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C57863822","wikidata":"https://www.wikidata.org/wiki/Q905488","display_name":"Flat memory model","level":4,"score":0.2549999952316284},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C144814538","wikidata":"https://www.wikidata.org/wiki/Q682304","display_name":"Autobiographical memory","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.10694","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10694","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.10694","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10694","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4],"increasingly":[5],"expected":[6],"to":[7,17,49,70,169,179],"interact":[8],"with":[9,115],"users":[10],"over":[11,203],"long":[12],"time":[13],"horizons.":[14],"However,":[15],"due":[16],"their":[18,142,159],"finite":[19],"context":[20,42],"window,":[21],"LLMs":[22],"cannot":[23],"retain":[24],"all":[25],"past":[26],"interactions,":[27],"making":[28],"long-term":[29,98,200],"memory":[30,46,67,77,100,127,172,187,201,208],"management":[31],"essential":[32],"for":[33],"storing,":[34],"updating,":[35],"and":[36,84,90,104,122,141,162,184,206],"retrieving":[37],"historical":[38,55],"information":[39,56],"beyond":[40],"the":[41],"limit.":[43],"Although":[44],"recent":[45],"systems":[47,78],"attempt":[48],"address":[50],"this":[51],"issue":[52],"by":[53],"storing":[54],"externally,":[57],"existing":[58,207],"approaches":[59],"suffer":[60],"from":[61],"three":[62],"key":[63],"limitations:":[64],"flat":[65],"text-based":[66],"organizations":[68],"fail":[69],"capture":[71],"explicit":[72],"relations":[73],"among":[74],"memories,":[75],"structured":[76],"often":[79],"destructively":[80],"overwrite":[81],"evolving":[82],"facts,":[83],"current":[85],"retrieval":[86,182],"mechanisms":[87],"remain":[88],"query-agnostic":[89],"passive":[91],"when":[92],"evidence":[93,188],"is":[94,113],"incomplete.":[95],"REAL":[96,129,153,197],"constructs":[97],"conversational":[99],"as":[101],"a":[102,131],"temporal":[103,133],"confidence-aware":[105],"directed":[106],"property":[107],"graph,":[108],"where":[109],"each":[110],"atomic":[111],"fact":[112,139,149],"represented":[114],"entities,":[116,157],"relations,":[117],"valid-time":[118],"intervals,":[119,144],"confidence":[120],"scores,":[121],"exploration":[123,160],"intent":[124],"labels.":[125],"During":[126,151],"construction,":[128],"adopts":[130],"non-destructive":[132],"update":[134],"strategy":[135],"that":[136,196],"preserves":[137],"parallel":[138],"versions":[140],"validity":[143],"enabling":[145],"faithful":[146],"tracking":[147],"of":[148,214],"evolution.":[150],"retrieval,":[152],"anchors":[154],"query-relevant":[155],"root":[156],"decouples":[158],"intents,":[161],"performs":[163],"semantic":[164],"evaluator-guided":[165],"hybrid":[166],"beam":[167],"search":[168],"extract":[170],"compact":[171],"subgraphs.":[173],"It":[174],"further":[175],"incorporates":[176],"counterfactual":[177],"inference":[178],"repair":[180],"unreliable":[181],"states":[183],"recover":[185],"missing":[186],"through":[189],"implicit":[190],"logical":[191],"relations.":[192],"Comprehensive":[193],"experiments":[194],"demonstrate":[195],"substantially":[198],"improves":[199],"performance":[202],"flat-text,":[204],"graph-based,":[205],"baselines,":[209],"achieving":[210],"an":[211],"average":[212],"improvement":[213],"22.72\\%.":[215]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-11T00:00:00"}