[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-83954-en":3,"doc-seo-83954-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},83954,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","CANONIC Governance Is Compilation","CANONIC proposes constitutional AI governance for governed intelligence that compiles digital artifacts into an evidence ledger at scale. The work targets the “slop” problem created by large language models optimizing plausibility rather than truth, outpacing human verification. CANONIC formalizes admission as a compiler-like, linear-time, decidable boundary check governed by three axioms (Triad, Inheritance, Introspection). Cross-provider benchmarks show structural admission cannot fully keep slop out; instead governance preserves auditability by anchoring every claim to defined terms, committed evidence, and an evidence window, enabling end-to-end reproducibility and verification.","arXiv :2607 .05410v1 [ cs .CY] 10 Jun 2026  \nCANONIC: Governance Is Compilation  \nConstitutional AI Governance—compiling digital artifacts into an evidence ledger at scale  \nDexter Hadley, MD/PhD  \nFounder and Chair, CANONIC Foundation · Director of AI, American Board of Precision Medicine  \n[founder@canonic.org](founder@canonic.org)  \nJune 2026  \nAbstract  \nWe present CANONIC: governed intelligence that compiles digital artifacts into an evidence ledger at scale. Large language models generate prose faster than anyone can check it, the failure Oxford Languages named slop, its 2025 Word of the Year. CANONIC governs whether content may enter a corpus the way a compiler decides whether a program is well-formed: mechanically, by a grammar, at the boundary of admission. Governance reduces to three axioms (Triad, Inheritance, Introspection) that map one-to-one onto compiler theory’s syntax, scope-resolution, and type-system layers, and admission is a decidable, linear-time check. We then ask, with a pre-registered cross-provider benchmark across four regimes, whether structural admission keeps slop out. It does not: no prose-reading gate reliably separates reliable from unreliable content. Slop is not a property an algorithm computes. It is a verdict of domain expertise. So a governance layer does not decide slop; it keeps the record auditable—every claim anchored to a definition, a commit, and an evidence window, reproducible and checkable end to end.  \n1 Introduction  \nLarge language models now generate prose at rates that outpace human verification capacity, producing a class of artifact that Oxford Languages [1] formalized in December 2025 by elevating the noun slop to its 2025 Word of the Year. The underlying mechanism is not anomalous behavior but the expected consequence of next-token prediction over heterogeneous corpora, the objective Vaswani set out in 2017 [2] and Brown scaled in 2020 [3]: outputs are optimized for plausibility rather than truth, and the two objectives diverge whenever training data is sparse, contested, or absent [4] . When training distributions contain the relevant facts, generations tend toward correctness; when they do not, generations tend toward stylistic competence detached from referent. The asymmetry has been documented across summarization, citation generation, and clinical question answering [5] .  \nThe downstream cost of this asymmetry scales with the stakes of the deploying domain. A misgenerated student essay is recoverable at the level of a single grade, whereas a misgenerated research summary consumed by a clinician can propagate into a treatment decision, and policy analyses assembled from unverified machine output can affect populations [6] . The prevailing reader model, in which trust is extended to the author, to the model, to the reviewers, and to the publishing institution in sequence, was calibrated for a regime of scarce content and tractable verification, and neither condition is preserved under contemporary generation rates [7] . Production now exceeds validation by orders of magnitude, and the bottleneck of scholarly communication has inverted from synthesis to audit.  \nThis paper uses slop in two senses, and the gap between them is its organizing finding. The structural sense is mechanical: content never anchored to a referent, as opposed to merely incorrect. Misinformation admits correction because a truthful referent exists; structurally unanchored content admits none, because it was never anchored at all. The operational sense, which the evaluation in §5 makes load-bearing, is the colloquial one: content an expert reader judgesungrounded or false. Structural anchoring is achievable, and we measure it, but it does not capture the operational sense, because fluent fabrication and fabricated data are perfectly anchorable. That gap is the heart of the paper. Whether content is slop in the operational sense is a verdict of domain expertise—a matter of taste, not a property any ","cbCaie4sE28DsZAx","https://ap.wps.com/l/cbCaie4sE28DsZAx","pdf",453908,3,1,28,"English","en",105,"# Introduction\n## Motivation: slop and audit capacity\n## Defining slop: structural vs operational\n## CANONIC approach: evidence-ledger governance\n## Why post-hoc defenses fail","[{\"question\":\"What does CANONIC mean by “governed intelligence” and what does it produce?\",\"answer\":\"CANONIC compiles digital artifacts into an evidence ledger at scale, using governance to control what may enter a corpus and ensuring that claims remain anchored for auditability.\"},{\"question\":\"How does the paper define “slop,” and why is this distinction important?\",\"answer\":\"The paper uses slop in two senses: a structural sense (content unanchored to any referent) and an operational sense (content experts judge as ungrounded or false). The gap explains why some checks cannot fully separate reliable from unreliable text.\"},{\"question\":\"Why do post-hoc defenses like detection, disclosure, and manual review fail to keep slop out?\",\"answer\":\"They act after generation and target the wrong axis—authorship, admission attestations, readability, or manual inspection—none of which structurally constrain whether claims are anchored to a source of truth.\"}]",1784191649,71,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"canonic-governance-is-compilation","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":20},"https://docshare.wps.com/document/research-report/",{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/canonic-governance-is-compilation/83954/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-25","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What does CANONIC mean by “governed intelligence” and what does it produce?","Question",{"text":75,"@type":76},"CANONIC compiles digital artifacts into an evidence ledger at scale, using governance to control what may enter a corpus and ensuring that claims remain anchored for auditability.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the paper define “slop,” and why is this distinction important?",{"text":80,"@type":76},"The paper uses slop in two senses: a structural sense (content unanchored to any referent) and an operational sense (content experts judge as ungrounded or false). The gap explains why some checks cannot fully separate reliable from unreliable text.",{"name":82,"@type":73,"acceptedAnswer":83},"Why do post-hoc defenses like detection, disclosure, and manual review fail to keep slop out?",{"text":84,"@type":76},"They act after generation and target the wrong axis—authorship, admission attestations, readability, or manual inspection—none of which structurally constrain whether claims are anchored to a source of truth.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]