{"id":"https://openalex.org/W7214748949","doi":"https://doi.org/10.48550/arxiv.2609.32592","title":"SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory","display_name":"SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory","publication_year":2026,"publication_date":"2026-09-26","ids":{"openalex":"https://openalex.org/W7214748949","doi":"https://doi.org/10.48550/arxiv.2609.32592"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.32592","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.32592","pdf_url":"https://arxiv.org/pdf/2609.32592","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.32592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130712065","display_name":"Hongjin Niu","orcid":"https://orcid.org/0009-0009-2625-722X","observed_orcids":["https://orcid.org/0009-0009-2625-722X"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niu, Hongjin","raw_affiliation_strings":["School of Computer Science and Technology , Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028268587","display_name":"Weizhan Zhang","orcid":"https://orcid.org/0000-0003-0330-5435","observed_orcids":["https://orcid.org/0000-0003-0330-5435"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Weizhan","raw_affiliation_strings":["School of Computer Science and Technology , Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153523477","display_name":"Shuo Bao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao, Shuo","raw_affiliation_strings":["School of Advanced Manufacturing and Robotics , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing and Robotics , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153455198","display_name":"Jiahao Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Jiahao","raw_affiliation_strings":["School of Computer Science and Technology , Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130592060","display_name":"Muyan Jiao","orcid":"https://orcid.org/0000-0001-6614-1664","observed_orcids":["https://orcid.org/0000-0001-6614-1664"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao, Muyan","raw_affiliation_strings":["School of Computer Science and Technology , Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031548623","display_name":"Kairui Wen","orcid":"https://orcid.org/0009-0001-4357-2717","observed_orcids":["https://orcid.org/0009-0001-4357-2717"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen, Kairui","raw_affiliation_strings":["Department of Computer Science and Technology , Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology , Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008076279","display_name":"Yong\u2010Jin Liu","orcid":"https://orcid.org/0000-0001-5774-1916","observed_orcids":["https://orcid.org/0000-0001-5774-1916"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu, Yong-Jin","raw_affiliation_strings":["Department of Computer Science and Technology , Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology , Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.09920000284910202,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.09920000284910202,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08609999716281891,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.06800000369548798,"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":[],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9451000094413757},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6330999732017517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5839999914169312},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5223000049591064},{"id":"https://openalex.org/C2778227907","wikidata":"https://www.wikidata.org/wiki/Q1893186","display_name":"Eviction","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C106306483","wikidata":"https://www.wikidata.org/wiki/Q183984","display_name":"Futures contract","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.328900009393692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3240000009536743},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.260699987411499},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.32592","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.32592","pdf_url":"https://arxiv.org/pdf/2609.32592","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.32592","doi":"https://doi.org/10.48550/arxiv.2609.32592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.32592","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.32592","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.32592","pdf_url":"https://arxiv.org/pdf/2609.32592","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214748949.pdf","grobid_xml":"https://content.openalex.org/works/W7214748949.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2146444479","https://openalex.org/W3127151792","https://openalex.org/W4297808394","https://openalex.org/W7164009274","https://openalex.org/W7164927711","https://openalex.org/W7166519055","https://openalex.org/W7171946046","https://openalex.org/W7172406410"],"related_works":["https://openalex.org/W7204763630","https://openalex.org/W7214934479","https://openalex.org/W7220660871","https://openalex.org/W7165892338","https://openalex.org/W3026649706","https://openalex.org/W7221159127","https://openalex.org/W7214979992","https://openalex.org/W7214156449","https://openalex.org/W7208741194","https://openalex.org/W7223005890"],"abstract_inverted_index":{"Fixed-capacity":[0],"streaming":[1],"video":[2,142],"memory":[3,36,138],"requires":[4],"repeated":[5,29],"eviction":[6,56,88],"decisions":[7],"whose":[8],"effects":[9],"accumulate":[10],"over":[11,60],"time.":[12],"Yet":[13],"existing":[14],"policies":[15],"are":[16],"evaluated":[17],"primarily":[18],"in":[19,62,148],"terms":[20],"of":[21],"retained":[22,52],"information":[23],"or":[24],"downstream":[25],"accuracy,":[26],"leaving":[27],"how":[28],"updates":[30],"alter":[31],"the":[32,46,82],"futures":[33],"supported":[34,49],"by":[35,50,86],"largely":[37],"unexamined.":[38],"We":[39,65,117],"define":[40],"a":[41,76],"memory's":[42],"predictive":[43,111,126],"state":[44],"as":[45,57],"future":[47,83],"representations":[48,84],"its":[51],"history":[53],"and":[54,105,130,137],"formulate":[55],"counterfactual":[58],"control":[59],"transitions":[61],"this":[63],"space.":[64],"introduce":[66,119],"SPACE":[67,144],"(Sparse":[68],"Predictive":[69],"Attractor":[70],"via":[71],"Counterfactual":[72,90],"Eviction),":[73],"which":[74,121],"uses":[75],"frozen":[77],"multi-horizon":[78],"JEPA":[79],"to":[80,101,107,109],"predict":[81],"induced":[85],"alternative":[87],"actions.":[89],"utility":[91],"identifies":[92],"future-useful":[93],"alternatives,":[94],"while":[95,152],"slow":[96],"predictive-basin":[97],"geometry":[98],"determines":[99],"when":[100,106],"correct":[102],"avoidable":[103],"drift":[104],"adapt":[108],"sustained":[110],"change,":[112],"without":[113],"online":[114],"parameter":[115],"updates.":[116],"further":[118],"MABS-Bench,":[120],"evaluates":[122],"future-task":[123],"sufficiency,":[124],"within-regime":[125],"stability,":[127],"transition":[128],"responsiveness,":[129],"perturbation":[131],"recovery":[132],"under":[133],"matched":[134],"causal":[135],"streams":[136],"budgets.":[139],"Across":[140],"multiple":[141],"datasets,":[143],"yields":[145],"consistent":[146],"improvements":[147],"dataset-native":[149],"task":[150],"performance":[151],"reducing":[153],"predictive-state":[154],"drift.":[155]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-30T00:00:00"}
