{"id":"https://openalex.org/W7135198906","doi":"https://doi.org/10.48550/arxiv.2603.11462","title":"Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes","display_name":"Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135198906","doi":"https://doi.org/10.48550/arxiv.2603.11462"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.11462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11462","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":"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.2603.11462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128924247","display_name":"Yuxiang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128975853","display_name":"Qiao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129044577","display_name":"Tong Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128921547","display_name":"Yanglei Gan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gan, Yanglei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128974795","display_name":"Peng He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129076135","display_name":"Yao LIu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"LIu, Yao","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.12250000238418579,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.12250000238418579,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.11469999700784683,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.06750000268220901,"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.5914999842643738},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5810999870300293},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.5559999942779541},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5357999801635742},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.4431999921798706},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.3937999904155731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.391400009393692},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3763999938964844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133999824523926},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5914999842643738},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5810999870300293},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5357999801635742},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49889999628067017},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3962000012397766},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C10184394","wikidata":"https://www.wikidata.org/wiki/Q5165491","display_name":"Continuous modelling","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C32866371","wikidata":"https://www.wikidata.org/wiki/Q5282046","display_name":"Discrete event dynamic system","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.303600013256073},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.30329999327659607},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C68757728","wikidata":"https://www.wikidata.org/wiki/Q911082","display_name":"DEVS","level":3,"score":0.2628999948501587},{"id":"https://openalex.org/C96314035","wikidata":"https://www.wikidata.org/wiki/Q5282062","display_name":"Discrete system","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.11462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11462","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":"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.2603.11462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11462","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":"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"irregularly":[1],"spaced":[2],"event":[3,27,53,88],"sequences":[4],"with":[5,77],"discrete":[6,69,87,122],"marks":[7,89],"poses":[8],"significant":[9],"challenges":[10],"due":[11],"to":[12,49,114,144],"the":[13,31,128,133],"complex,":[14],"asynchronous":[15],"dependencies":[16,25],"embedded":[17],"within":[18],"continuous-time":[19,98],"data":[20],"streams.Existing":[21],"sequential":[22],"approaches":[23],"capture":[24],"among":[26],"tokens":[28],"but":[29],"ignore":[30],"continuous":[32,71,120],"evolution":[33],"between":[34,119],"events,":[35],"while":[36,137],"Neural":[37,75,102],"Ordinary":[38],"Differential":[39],"Equation":[40],"(Neural":[41],"ODE)":[42],"methods":[43],"model":[44],"smooth":[45],"dynamics":[46],"yet":[47],"fail":[48],"account":[50],"for":[51,79],"how":[52],"types":[54],"influence":[55],"future":[56,146],"timing.To":[57],"overcome":[58],"these":[59],"limitations,":[60],"we":[61],"propose":[62],"NEXTPP,":[63],"a":[64,91,96,101,111],"dual-channel":[65],"framework":[66],"that":[67,155],"unifies":[68],"and":[70,121],"representations":[72,126],"via":[73,90],"Event-granular":[74],"Evolution":[76],"Cross-Interaction":[78],"Marked":[80],"Temporal":[81],"Point":[82],"Processes.":[83],"Specifically,":[84],"NEXTPP":[85,156],"encodes":[86],"self-attention":[92],"mechanism,":[93],"simultaneously":[94],"evolving":[95],"latent":[97],"state":[99],"using":[100],"ODE.":[103],"These":[104],"parallel":[105],"streams":[106],"are":[107],"then":[108],"fused":[109,125],"through":[110],"crossattention":[112],"module":[113],"enable":[115],"explicit":[116],"bidirectional":[117],"interaction":[118],"representations.":[123],"The":[124,161],"drive":[127],"conditional":[129],"intensity":[130],"function":[131],"of":[132],"neural":[134],"Hawkes":[135],"process,":[136],"an":[138],"iterative":[139],"thinning":[140],"sampler":[141],"is":[142],"employed":[143],"generate":[145],"events.":[147],"Extensive":[148],"evaluations":[149],"on":[150],"five":[151],"real-world":[152],"datasets":[153],"demonstrate":[154],"consistently":[157],"outperforms":[158],"state-of-the-art":[159],"models.":[160],"source":[162],"code":[163],"can":[164],"be":[165],"found":[166],"at":[167],"https://github.com/AONE-NLP/NEXTPP.":[168]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-14T00:00:00"}
