{"id":"https://openalex.org/W7154326232","doi":"https://doi.org/10.48550/arxiv.2604.11544","title":"Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory","display_name":"Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic Memory","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154326232","doi":"https://doi.org/10.48550/arxiv.2604.11544"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11544","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.2604.11544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009974899","display_name":"Weixian Waylon Li","orcid":"https://orcid.org/0000-0002-4196-9462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Weixian Waylon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133606037","display_name":"Jiaxin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiaxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133570667","display_name":"Xianan Jim Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xianan Jim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133575136","display_name":"Tiejun Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Tiejun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133569493","display_name":"Yiwen Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yiwen","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.5609999895095825,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.5609999895095825,"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":0.23819999396800995,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07750000059604645,"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/embedding","display_name":"Embedding","score":0.54830002784729},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4296000003814697},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4275999963283539},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.3853999972343445},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.36629998683929443},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3479999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678000092506409},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.54830002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49300000071525574},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45680001378059387},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11544","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.2604.11544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11544","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":{"Structured":[0],"memory":[1,70,75,176],"representations":[2],"such":[3],"as":[4,22],"knowledge":[5,65,144],"graphs":[6],"are":[7,124],"central":[8],"to":[9,49,73,88,156,184],"autonomous":[10],"agents":[11],"and":[12,76,163,181],"other":[13],"long-lived":[14],"systems.":[15],"However,":[16],"most":[17],"existing":[18],"approaches":[19],"model":[20],"time":[21],"discrete":[23],"metadata,":[24],"either":[25],"sorting":[26],"by":[27],"recency":[28],"(burying":[29],"old-yet-permanent":[30],"knowledge),":[31],"simply":[32],"overwriting":[33],"outdated":[34],"facts,":[35],"or":[36],"requiring":[37],"an":[38],"expensive":[39],"LLM":[40],"call":[41],"at":[42],"every":[43],"ingestion":[44],"step,":[45],"leaving":[46],"them":[47],"unable":[48],"distinguish":[50],"persistent":[51,105],"facts":[52,123,136],"from":[53,93],"evolving":[54,96],"ones.":[55],"To":[56],"address":[57],"this,":[58],"we":[59],"introduce":[60],"RoMem,":[61],"a":[62,89],"drop-in":[63],"temporal":[64,143,167],"graph":[66,145],"module":[67],"for":[68],"structured":[69],"systems,":[71],"applicable":[72],"agentic":[74,157],"beyond.":[77],"A":[78],"pretrained":[79],"Semantic":[80],"Speed":[81],"Gate":[82],"maps":[83],"each":[84],"relation's":[85],"text":[86],"embedding":[87],"volatility":[90],"score,":[91],"learning":[92],"data":[94],"that":[95],"relations":[97],"(e.g.,":[98,107],"\"president":[99],"of\")":[100],"should":[101,110],"rotate":[102],"fast":[103],"while":[104],"ones":[106],"\"born":[108],"in\")":[109],"remain":[111],"stable.":[112],"Combined":[113],"with":[114,177],"continuous":[115],"phase":[116,128],"rotation,":[117],"this":[118],"enables":[119],"geometric":[120],"shadowing:":[121],"obsolete":[122],"rotated":[125],"out":[126],"of":[127],"in":[129],"complex":[130],"vector":[131],"space,":[132],"so":[133],"temporally":[134],"correct":[135],"naturally":[137],"outrank":[138],"contradictions":[139],"without":[140],"deletion.":[141],"On":[142],"completion,":[146],"RoMem":[147],"achieves":[148],"state-of-the-art":[149],"results":[150],"on":[151,166],"ICEWS05-15":[152],"(72.6":[153],"MRR).":[154],"Applied":[155],"memory,":[158],"it":[159],"delivers":[160],"2-3x":[161],"MRR":[162],"answer":[164],"accuracy":[165],"reasoning":[168],"(MultiTQ),":[169],"dominates":[170],"hybrid":[171],"benchmark":[172],"(LoCoMo),":[173],"preserves":[174],"static":[175],"zero":[178],"degradation":[179],"(DMR-MSC),":[180],"generalises":[182],"zero-shot":[183],"unseen":[185],"financial":[186],"domains":[187],"(FinTMMBench).":[188]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}
