{"id":"https://openalex.org/W7150908814","doi":"https://doi.org/10.48550/arxiv.2604.02734","title":"Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents","display_name":"Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM Agents","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150908814","doi":"https://doi.org/10.48550/arxiv.2604.02734"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02734","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":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.2604.02734","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133053336","display_name":"Bin Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133058136","display_name":"Ruoxuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ruoxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133051443","display_name":"Yang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101186415","display_name":"Hongxia Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Hongxia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133053795","display_name":"Lan-Zhe Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Lan-Zhe","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.4438000023365021,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.4438000023365021,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0835999995470047,"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":0.07249999791383743,"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/executable","display_name":"Executable","score":0.5810999870300293},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47049999237060547},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4562999904155731},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3772999942302704},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.35749998688697815},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.33980000019073486},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3352000117301941},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.31700000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044000267982483},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.5810999870300293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765999913215637},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38600000739097595},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C21847791","wikidata":"https://www.wikidata.org/wiki/Q191081","display_name":"Logical conjunction","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02734","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":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.2604.02734","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02734","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8179581761360168,"id":"https://metadata.un.org/sdg/16","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":{"Large":[0],"language":[1],"models":[2,102],"(LLMs)":[3],"have":[4],"demonstrated":[5],"strong":[6],"potential":[7],"in":[8,33,103],"long-horizon":[9,105],"decision-making":[10],"tasks,":[11],"such":[12,92],"as":[13],"embodied":[14],"manipulation":[15],"and":[16,47,85,193,202],"web":[17],"interaction.":[18],"However,":[19,64],"agents":[20],"frequently":[21],"struggle":[22],"with":[23],"endless":[24],"trial-and-error":[25],"loops":[26],"or":[27],"deviate":[28],"from":[29,124,150,172],"the":[30,71,79,130,133,159,198],"main":[31],"objective":[32],"complex":[34],"environments.":[35],"We":[36],"attribute":[37],"these":[38,65],"failures":[39],"to":[40,55,153,175],"two":[41,66],"fundamental":[42,98],"errors:":[43],"global":[44,155],"Progress":[45,145],"Drift":[46],"local":[48],"Feasibility":[49,164],"Violation.":[50],"Existing":[51],"methods":[52],"typically":[53],"attempt":[54],"address":[56],"both":[57,136],"issues":[58],"simultaneously":[59],"using":[60],"a":[61,93,97,113,143,162],"single":[62],"paradigm.":[63],"challenges":[67],"are":[68],"fundamentally":[69],"distinct:":[70],"former":[72],"relies":[73],"on":[74,140,158,190],"fuzzy":[75],"semantic":[76,121,148],"planning,":[77],"while":[78,195],"latter":[80],"demands":[81],"strict":[82,177],"logical":[83,125,178],"constraints":[84],"state":[86],"validation.":[87,179],"The":[88],"inherent":[89],"limitations":[90],"of":[91],"single-paradigm":[94],"approach":[95],"pose":[96],"challenge":[99],"for":[100],"existing":[101,187],"handling":[104],"tasks.":[106],"Motivated":[107],"by":[108],"this":[109,183],"insight,":[110],"we":[111],"propose":[112],"Neuro-Symbolic":[114],"Dual":[115],"Memory":[116,146,165],"Framework":[117],"that":[118,182],"explicitly":[119],"decouples":[120],"progress":[122],"guidance":[123],"feasibility":[126],"verification.":[127],"Specifically,":[128],"during":[129],"inference":[131],"phase,":[132],"framework":[134],"invokes":[135],"memory":[137],"mechanisms":[138],"synchronously:":[139],"one":[141],"hand,":[142,161],"neural-network-based":[144],"extracts":[147],"blueprints":[149],"successful":[151],"trajectories":[152],"guide":[154],"task":[156],"advancement;":[157],"other":[160],"symbolic-logic-based":[163],"utilizes":[166],"executable":[167],"Python":[168],"verification":[169],"functions":[170],"synthesized":[171],"failed":[173],"transitions":[174],"perform":[176],"Experiments":[180],"demonstrate":[181],"method":[184],"significantly":[185],"outperforms":[186],"competitive":[188],"baselines":[189],"ALFWorld,":[191],"WebShop,":[192],"TextCraft,":[194],"drastically":[196],"reducing":[197],"invalid":[199],"action":[200],"rate":[201],"average":[203],"trajectory":[204],"length.":[205]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-07T00:00:00"}