{"id":"https://openalex.org/W7138190838","doi":"https://doi.org/10.1609/aaai.v40i8.37582","title":"CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos","display_name":"CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138190838","doi":"https://doi.org/10.1609/aaai.v40i8.37582"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i8.37582","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i8.37582","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37582/41544","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37582/41544","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129733912","display_name":"Xuchen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Xuchen Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences\nZhongguancun Academy","Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences\nZhongguancun Academy","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129728025","display_name":"Xuzhao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Xuzhao Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences\nZhongguancun Academy","Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences\nZhongguancun Academy","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129670044","display_name":"Shiyu Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shiyu Hu","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129686653","display_name":"Kaiqi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences\nUniversity of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129650520","display_name":"Wentao Zhang","orcid":null},"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":"Wentao Zhang","raw_affiliation_strings":["Zhongguancun Academy\nPeking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongguancun Academy\nPeking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5129733912"],"corresponding_institution_ids":["https://openalex.org/I172675005","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47067239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"8","first_page":"6530","last_page":"6538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9574000239372253,"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":0.9574000239372253,"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":0.02239999920129776,"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":0.004000000189989805,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8149999976158142},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.656000018119812},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.5221999883651733},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.44859999418258667},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.40720000863075256},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.39629998803138733}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8149999976158142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.703000009059906},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.656000018119812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5641999840736389},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.5221999883651733},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.3589000105857849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i8.37582","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i8.37582","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37582/41544","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i8.37582","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i8.37582","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37582/41544","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138190838.pdf","grobid_xml":"https://content.openalex.org/works/W7138190838.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,10,60,158],"large":[3],"language":[4],"models":[5,35,145],"(LLMs)":[6],"have":[7],"improved":[8],"reasoning":[9,19,32,59,125],"text":[11],"and":[12,31,33,46,69,80,107,131,146,160],"image":[13],"domains,":[14],"yet":[15],"achieving":[16],"robust":[17,159],"video":[18,25,162],"remains":[20],"a":[21,52,71,140,152],"significant":[22,141],"challenge.":[23],"Existing":[24],"benchmarks":[26],"mainly":[27],"assess":[28],"shallow":[29],"understanding":[30],"allow":[34],"to":[36,41,95,155],"exploit":[37],"global":[38],"context,":[39],"failing":[40],"rigorously":[42],"evaluate":[43],"true":[44],"causal":[45,58,124],"stepwise":[47,57,73,148],"reasoning.":[48,149,163],"We":[49,112],"present":[50],"CausalStep,":[51],"benchmark":[53,100,154],"designed":[54],"for":[55,117],"explicit":[56],"videos.":[61],"CausalStep":[62,150],"segments":[63],"videos":[64,103],"into":[65],"causally":[66],"linked":[67],"units":[68],"enforces":[70],"strict":[72],"question-answer":[74],"(QA)":[75],"protocol,":[76],"requiring":[77],"sequential":[78],"answers":[79],"preventing":[81],"shortcut":[82],"solutions.":[83],"Each":[84],"question":[85],"includes":[86],"carefully":[87],"constructed":[88],"distractors":[89],"based":[90],"on":[91],"error":[92],"type":[93],"taxonomy":[94],"ensure":[96],"diagnostic":[97,115],"value.":[98],"The":[99],"features":[101],"100":[102],"across":[104],"six":[105],"categories":[106],"1,852":[108],"multiple-choice":[109],"QA":[110],"pairs.":[111],"introduce":[113],"seven":[114],"metrics":[116],"comprehensive":[118],"evaluation,":[119],"enabling":[120],"precise":[121],"diagnosis":[122],"of":[123],"capabilities.":[126],"Experiments":[127],"with":[128],"leading":[129],"proprietary":[130],"open-source":[132],"models,":[133],"as":[134,136],"well":[135],"human":[137],"baselines,":[138],"reveal":[139],"gap":[142],"between":[143],"current":[144],"human-level":[147],"provides":[151],"rigorous":[153],"drive":[156],"progress":[157],"interpretable":[161]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-18T00:00:00"}