{"id":"https://openalex.org/W7225834666","doi":"https://doi.org/10.48550/arxiv.2611.13597","title":"Compute the Interactions, Not the Attributes: What a Fact Layer Must Supply in the Chinese Sexagenary System","display_name":"Compute the Interactions, Not the Attributes: What a Fact Layer Must Supply in the Chinese Sexagenary System","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225834666","doi":"https://doi.org/10.48550/arxiv.2611.13597"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2611.13597","doi":"https://doi.org/10.48550/arxiv.2611.13597","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2611.13597","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":"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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2611.13597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066442929","display_name":"Huixue Han","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Huixue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057365719","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0001-8461-0954","observed_orcids":["https://orcid.org/0000-0001-8461-0954"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiaying","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/T10028","display_name":"Topic Modeling","score":0.524399995803833,"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/T10028","display_name":"Topic Modeling","score":0.524399995803833,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.08590000122785568,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.07100000232458115,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.7965999841690063},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7414000034332275},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6879000067710876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460000038146973},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33070001006126404},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3255000114440918},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.263700008392334},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C20277647","wikidata":"https://www.wikidata.org/wiki/Q5227234","display_name":"Data access layer","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2611.13597","doi":"https://doi.org/10.48550/arxiv.2611.13597","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2611.13597","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":"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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2611.13597","doi":"https://doi.org/10.48550/arxiv.2611.13597","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2611.13597","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":"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Language-model":[0],"systems":[1],"in":[2,27,146],"rule-governed":[3],"domains":[4],"often":[5],"pair":[6],"the":[7,28,57,100,113,173,176],"model":[8,174],"with":[9,56,61],"a":[10],"deterministic":[11],"fact":[12,38,47,161],"layer,":[13],"but":[14],"which":[15],"facts":[16,63],"that":[17],"layer":[18,117,162],"should":[19],"supply":[20,164],"is":[21],"rarely":[22],"measured.":[23],"We":[24],"measure":[25],"it":[26,111],"Chinese":[29],"sexagenary":[30,86],"system":[31],"underlying":[32],"BaZi":[33],"chart":[34],"analysis,":[35],"where":[36,75],"every":[37],"has":[39],"one":[40],"table-checkable":[41],"value:":[42],"682":[43],"items":[44],"over":[45],"twelve":[46],"categories":[48],"and":[49,60,99,121,125,155,175],"160":[50],"transit--natal":[51],"collision":[52],"items,":[53],"posed":[54],"closed-book,":[55],"reference":[58],"table,":[59],"computed":[62,165],"at":[64],"increasing":[65],"levels.":[66],"In":[67],"eleven":[68],"open-weight":[69],"models":[70,107,128,134],"answering":[71],"directly,":[72],"errors":[73],"concentrate":[74],"attributes":[76,94,148],"must":[77,163],"be":[78],"combined:":[79],"none":[80],"gets":[81],"more":[82],"than":[83],"4\\%":[84],"of":[85,90,137],"days":[87],"or":[88],"1\\%":[89],"collisions":[91,138],"right.":[92],"Static":[93],"have":[95],"no":[96],"consistent":[97],"effect,":[98],"complete":[101],"relation":[102],"list":[103],"leaves":[104],"most":[105],"direct-answering":[106],"near":[108],"zero":[109],"although":[110],"contains":[112],"answer.":[114],"A":[115],"query-filtered":[116],"(exploratory)":[118],"raises":[119],"Qwen3-8B":[120],"Qwen3-32B":[122],"to":[123,129],"78--92\\%":[124],"four":[126],"further":[127],"96--100\\%.":[130],"Three":[131],"proprietary":[132],"reasoning":[133],"compute":[135],"68--95\\%":[136],"unaided.":[139],"On":[140],"chess":[141],"positions,":[142],"under":[143],"predictions":[144],"locked":[145],"advance,":[147],"again":[149],"do":[150],"not":[151],"substitute":[152],"for":[153],"relations":[154],"listed":[156],"distractors":[157],"are":[158,169],"misattributed.":[159],"The":[160],"interactions;":[166],"how":[167],"they":[168],"presented":[170],"depends":[171],"on":[172],"domain.":[177]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}
