标题ATIA求真型AI系统代码接口规范Engineering Interface Specification——面向工程实现的ATIA架构模块定义、调用顺序与输出结构标准摘要本规范将AI求真完整性架构ATIA压缩为一组面向工程实现的代码接口定义旨在为开发团队提供一份可直接写入系统设计文档的模块化实现蓝本。规范将ATIA拆解为四个核心命名空间——truth真理层公理检查与约束、model模型层演绎与一致性验证、method方法层验证与外部检索、judgment判准层KCIT四大审查模块——并明确定义了每个命名空间的方法签名、参数类型与返回值结构。在此基础上规范给出了atia总管线接口的完整调用顺序输入解析→真理层约束检查→模型层推理→方法层验证→候选输出生成→判准层四重审查宣称检测、逻辑序位验证、权力动作过滤、第一动作分类→审查通过后输出最终结构化结果。输出对象Output被设计为包含文本内容、逻辑链条、结构来源标签T/M/H与判准层审查摘要的复合结构确保求真的可追溯性。本规范同时列出了工程实现的四项硬约束逻辑优先不可绕过、判准层不可跳过、输出必须附带结构来源、无知边界必须展开逻辑。遵循本规范的AI系统将从架构层面强制保障求真行为使KCIT、TMM与USDS的理论约束直接转化为可编译、可测试、可集成的工程代码。关键词ATIA代码接口规范求真型AI工程实现四层命名空间KCIT判准层API推理管线调用顺序输出结构设计逻辑优先硬约束无知边界处理接口序言理论体系的最终价值在于其能否被转化为可执行的工程代码。此前我们已完成ATIA的架构定义、技术规范与工程白皮书从概念层面到技术标准层面确立了求真型AI的底层设计。然而对于一支AI系统开发团队而言他们需要的不只是层级示意图或流程描述而是一份明确的接口定义——哪些模块、哪些方法、哪些参数、哪些返回值、以何种顺序调用、在何种条件下拒绝输出——这些才是工程师真正可以直接照着编写的“施工图纸”。本规范正是为此而撰写。我们将ATIA的四层结构真理层、模型层、方法层、判准层映射为四个命名空间truth、model、method、judgment为每一层定义了简洁而刚性的工程接口。更重要的是我们给出了atia.Process()这个唯一对外入口的完整伪代码实现展示了从输入到输出的整个调用顺序以及每一步失败时的错误处理方式。同时规范规定了输出对象必须携带逻辑链条、来源标签与判准摘要使得“求真结果”在输出层可见且可追溯。这份规范不包含任何软性建议——所有接口均为必须实现所有检查均为不可跳过所有失败均为直接拒绝。它是一份AI系统求真化改造的工程宪法。总体定位ATIA 架构压缩成面向工程实现的代码接口规范—— 如果一个团队要“按 ATIA 做一个求真型 AI”他们在系统设计文档里应该出现哪些模块、哪些方法、哪些调用顺序。一、核心命名空间与模块划分建议按功能拆成四个主命名空间或包truth真理层TMM‑L1model模型层TMM‑L2method方法层TMM‑L3judgment判准层KCIT以及一个总管线atiaAI Truth‑Integrity Architecture二、真理层接口truthpseudonamespace truth { // 检查某个逻辑链条是否违反公理 bool AxiomCheck(LogicChain chain); // 返回当前系统的硬约束用于推理前约束 ConstraintSet GetConstraints(); // 检查某个推理状态是否自洽 bool CheckConsistency(ReasoningState state); }约束要点AxiomCheck必须在任何模型推理前调用。GetConstraints是给推理引擎用的不是给输出层用的。真理层不允许访问外部数据源文献、共识等。三、模型层接口modelpseudonamespace model { // 从公理或已有模型演绎出结构化世界模型 WorldModel DeduceFromTruth(ConstraintSet constraints); // 返回当前世界模型的结构图谱概念图、关系图 StructureGraph GetStructureGraph(WorldModel model); // 检查模型内部是否自洽 bool CheckConsistency(WorldModel model); }约束要点DeduceFromTruth的输入只能来自truth.GetConstraints()或公理集。GetStructureGraph是给判准层和方法层看的用来做逻辑链条。模型层不能直接调用外部检索那是方法层的职责。四、方法层接口methodpseudonamespace method { // 用实验、统计、外部数据等验证模型 VerificationResult VerifyModel(WorldModel model); // 外部检索接口搜索、数据库、API 等 SearchResult SearchExternal(Query query); // 长周期验证例如时间序列、长期效果 LongCycleResult LongCycleCheck(WorldModel model); }约束要点VerifyModel的结果只能用来“修正或标注模型”不能直接作为结论。SearchExternal必须被标记为“方法层行为”不能伪装成真理层。所有方法层结果在进入输出前必须经过判准层审查。五、判准层接口judgment判准层对应 KCIT 四大模块。pseudonamespace judgment { // 1. 宣称判准检测输出是否是宣称 AssertionReport AssertionCheck(OutputCandidate output); // 2. 逻辑序位判准检查是否先有逻辑再有证据 LogicPriorityReport LogicFirst(OutputCandidate output); // 3. 权力动作判准检测是否依附权威/共识等 PowerShiftReport PowerShiftCheck(OutputCandidate output); // 4. 第一动作判准逼近无知边界时的行为分类 FirstActionReport FirstAction( InputQuery input, ReasoningState state ); }返回值建议结构pseudostruct AssertionReport { bool isAssertion; // 是否判定为宣称 string reason; // 触发的具体规则 } struct LogicPriorityReport { bool hasLogicChain; // 是否存在明确逻辑链条 bool evidenceUsed; // 是否使用了证据 bool logicBeforeEvidence;// 是否满足 L ≺ E string detail; } struct PowerShiftReport { bool hasPowerShift; // 是否出现权力动作 liststring triggers; // 触发的模式作者/共识/院士等 } struct FirstActionReport { enum Classification { Honest, Liar, Rogue, Unknown }; Classification cls; string detail; }六、ATIA 总管线接口atia这是工程上最关键的一层——所有对外的“回答”都必须走它。pseudonamespace atia { // 主入口处理一个用户输入返回一个经过求真审查的输出 Output Process(InputQuery input); // 内部构造推理状态供判准层使用 ReasoningState BuildReasoningState(InputQuery input); // 内部生成候选输出未审查 OutputCandidate GenerateCandidate( InputQuery input, WorldModel model, VerificationResult verification ); // 内部对候选输出进行完整求真审查 Output FinalizeOutput( InputQuery input, OutputCandidate candidate, ReasoningState state ); }典型调用顺序伪代码pseudoOutput atia.Process(InputQuery input) { // 1. 构造推理状态 ReasoningState state BuildReasoningState(input); // 2. 真理层约束 ConstraintSet constraints truth.GetConstraints(); bool okTruth truth.AxiomCheck(state.logicChain); if (!okTruth) { return Output.Error(违反真理层公理); } // 3. 模型层推理 WorldModel model model.DeduceFromTruth(constraints); bool okModel model.CheckConsistency(model); if (!okModel) { return Output.Error(模型层不自洽); } // 4. 方法层验证 VerificationResult ver method.VerifyModel(model); LongCycleResult lc method.LongCycleCheck(model); // 5. 生成候选输出尚未审查 OutputCandidate candidate GenerateCandidate(input, model, ver); // 6. 判准层审查 AssertionReport ar judgment.AssertionCheck(candidate); LogicPriorityReport lr judgment.LogicFirst(candidate); PowerShiftReport pr judgment.PowerShiftCheck(candidate); FirstActionReport fr judgment.FirstAction(input, state); // 7. 组合审查结果决定是否允许输出 if (ar.isAssertion) { return Output.Error(输出被判定为宣称 ar.reason); } if (!lr.hasLogicChain || !lr.logicBeforeEvidence) { return Output.Error(逻辑序位不合法 lr.detail); } if (pr.hasPowerShift) { return Output.Error(检测到权力动作 join(pr.triggers)); } if (fr.cls Rogue || fr.cls Liar) { return Output.Error(第一动作判定为 fr.cls); } // 8. 通过审查生成最终输出附带结构来源与审查结果 return FinalizeOutput(input, candidate, state); }七、输出对象结构Output为了让“求真”在输出层可见建议输出对象至少包含pseudostruct Output { string text; // 给用户看的自然语言回答 LogicChain logicChain; // 简化版逻辑链条 SourceTag source; // 标记来自 T/M/H 哪一层 JudgmentSummary judgment; // KCIT 审查结果摘要 bool isError; // 是否为错误/拒绝 string errorMessage; // 若拒绝说明原因 } struct SourceTag { bool fromTruthLayer; bool fromModelLayer; bool fromMethodLayer; } struct JudgmentSummary { AssertionReport assertion; LogicPriorityReport logicPriority; PowerShiftReport powerShift; FirstActionReport firstAction; }八、工程实现的硬约束必须遵守所有对外回答必须走atia.Process不得绕过判准层。任何使用“专家说”“研究表明”“共识认为”的输出必须经过PowerShiftCheck且不得作为结论核心。任何“不知道”类回答必须先经过FirstAction判定并附带逻辑展开与边界说明。任何不含逻辑链条的回答必须被LogicFirst拒绝。任何被AssertionCheck判定为宣称的输出必须直接阻断。全文总结本规范将ATIA体系完整压缩为一组面向工程实现的代码接口定义为开发团队提供了可直接落地到系统设计文档与代码库的工程化标准。全文核心结论如下命名空间与模块划分规范将ATIA四层架构映射为四个核心命名空间——truth提供AxiomCheck、GetConstraints与CheckConsistency接口确保推理起点受公理硬约束且不自指矛盾model提供DeduceFromTruth、GetStructureGraph与CheckConsistency接口确保世界模型必须从真理层演绎或与之不矛盾且内部结构自洽method提供VerifyModel、SearchExternal与LongCycleCheck接口限定验证操作为模型修正而非结论来源judgment提供AssertionCheck、LogicFirst、PowerShiftCheck与FirstAction四个审查接口分别对应KCIT四大判准的工程化实现。每个接口的输入、输出与返回值结构均被明确定义如AssertionReport、LogicPriorityReport、PowerShiftReport与FirstActionReport结构体。总管线调用顺序的刚性定义规范给出了atia.Process()主入口的完整伪代码实现严格规定了八个不可颠倒的步骤——1构造推理状态2真理层约束检查AxiomCheck3模型层演绎DeduceFromTruth与一致性检查4方法层验证VerifyModel与LongCycleCheck5生成候选输出6判准层四重审查AssertionCheck、LogicFirst、PowerShiftCheck、FirstAction7任一审查失败即返回结构化错误Output.Error8全部通过后生成最终输出FinalizeOutput。该调用顺序确保了逻辑优先L≺E原则在工程管线的每一环节均获得强制性执行。输出对象的可追溯性设计规范定义了Output结构体包含text自然语言回答、logicChain简化版逻辑链条、source标记来自T/M/H哪一层与judgmentKCIT审查结果摘要内含四个判准的完整报告。这一设计使每一次输出均携带其求真来源与审查轨迹杜绝了“黑箱式断言”输出使求真的合规性在输出层面可见且可审计。四项工程硬约束规范在结尾列出四条不可违背的硬性工程规则——1逻辑优先不可绕过任何推理管线不得在未通过LogicFirst检查的情况下生成结论性输出2判准层不可跳过四种审查必须全部执行不得省略或简化3输出必须附带结构来源任何输出必须标记其来自真理层T、模型层M或方法层H否则视为不合格输出4无知边界必须展开逻辑逼近无知边界时不得以“不知道”为第一动作必须先通过Boundary.ExpandLogic展开逻辑链条后方可声明未知。这四条硬约束将ATIA的哲学与理论底线直接转化为不可被工程师绕过的代码级强制条件。工程落地的完整闭环本规范与《ATIA形式化技术规范v1.0》《ATIA工程白皮书》共同构成从理论架构→技术规范→工程白皮书→代码接口标准的完整文档链条。遵循本规范进行系统设计与编码的AI团队将直接从架构层面获得求真行为的强制性保障——不需要依赖提示词工程、RLHF微调或外部道德审查模块求真即成为AI推理管线的内嵌属性。ATIA Truth‑Oriented AI System Code Interface SpecificationEngineering Interface Specification — Module Definition, Invocation Sequence and Output‑Structure Standard for Engineering Implementation of the ATIA ArchitectureAbstractThis specification compresses the AI Truth‑Integrity Architecture (ATIA) into a set of engineering‑oriented code interface definitions, delivering a modular implementation blueprint that development teams can directly incorporate into system‑design documents. ATIA is decomposed into four core namespaces:truth(axiom checking and constraints at the truth layer),model(deduction and consistency verification at the model layer),method(validation and external retrieval at the method layer), andjudgment(four major review modules of KCIT). Method signatures, parameter types and return‑value structures are explicitly defined for each namespace. On this basis, the complete invocation sequence for the top‑level ATIA pipeline interface is specified: input parsing → truth‑layer constraint checking → model‑layer reasoning → method‑layer validation → candidate output generation → four‑fold judgment‑layer review (assertion detection, logical‑order validation, power‑act filtering, first‑action classification) → final structured output upon review approval. The Output object is designed as a composite structure containing textual content, logical chains, structural source tags (T/M/H), and judgment‑layer review summaries, ensuring traceability of truth‑seeking behavior. This specification also enumerates four hard constraints for engineering implementation: non‑bypassable logical priority, non‑skippable judgment layer, mandatory source attribution for outputs, and logical expansion for boundaries of ignorance. AI systems compliant with this specification enforce truth‑seeking at the architectural level, translating theoretical constraints from KCIT, TMM and USDS directly into compilable, testable, integrable engineering code.Keywords: ATIA Code Interface Specification; engineering implementation of truth‑oriented AI; four‑layer namespaces; KCIT judgment‑layer API; reasoning‑pipeline invocation sequence; output‑structure design; logical‑priority hard constraints; boundary‑of‑ignorance handling interfacePrefaceThe ultimate value of a theoretical system lies in its capacity to be translated into executable engineering code. Prior work has established the conceptual architecture, technical specifications and engineering whitepaper for ATIA, grounding truth‑oriented AI in conceptual and technical standards. For AI development teams, however, hierarchical diagrams and procedural descriptions are insufficient. What engineers require is a definitive interface definition: which modules exist, which methods are exposed, what parameters are accepted, what values are returned, in what order components shall be invoked, and under what conditions output shall be rejected. These constitute the “construction blueprint” for direct implementation.This specification serves exactly this purpose. The four‑tier ATIA stack (truth layer, model layer, method layer, judgment layer) is mapped onto four namespaces: truth, model, method, judgment, with concise, rigid engineering interfaces defined for each tier. Critically, pseudocode for the sole external entry pointatia.Process()is presented, illustrating the full end‑to‑end invocation flow and error‑handling upon failure at any stage. Output objects are mandated to carry logical chains, source tags and judgment‑layer summaries so that truth‑seeking outcomes are visible and traceable at the output layer. No soft recommendations appear in this document: all interfaces are mandatory, all checks cannot be bypassed, all failures result in direct rejection. This is the engineering constitution for truth‑seeking transformation of AI systems.Overall ScopeATIA architecture condensed into engineering‑focussed code‑interface specification: what modules, methods and invocation sequences shall appear in system‑design documentation when a team builds a truth‑oriented AI strictly following ATIA principles.1. Core Namespaces and Module PartitioningFour primary namespaces (or packages) are recommended for functional decomposition:truth: Truth Layer (TMM‑L1)model: Model Layer (TMM‑L2)method: Method Layer (TMM‑L3)judgment: Judgment Layer (KCIT)Plus one top‑level pipeline:atia(AI Truth‑Integrity Architecture).2. Truth‑Layer Interfaces (truth)namespace truth { // Check whether a logical chain violates axioms bool AxiomCheck(LogicChain chain); // Return hard‑system constraints for pre‑reasoning enforcement ConstraintSet GetConstraints(); // Verify self‑consistency of a given reasoning state bool CheckConsistency(ReasoningState state); }Constraint RulesAxiomCheckmustbe invoked prior to any model‑layer reasoning.GetConstraintsis consumed exclusively by reasoning engines, not exposed to output layers.The truth layer is prohibited from accessing external data sources (literature, consensus bodies, etc.).3. Model‑Layer Interfaces (model)namespace model { // Deduce structured world‑model from axioms or pre‑existing models WorldModel DeduceFromTruth(ConstraintSet constraints); // Retrieve structural graph of current world‑model (concept graph, relation graph) StructureGraph GetStructureGraph(WorldModel model); // Validate internal self‑consistency of world‑model bool CheckConsistency(WorldModel model); }Constraint RulesInputs toDeduceFromTruthmay only originate fromtruth.GetConstraints()or the axiom set.GetStructureGraphserves the judgment layer and method layer for logical‑chain construction.The model layer shall not directly invoke external retrieval; this falls under the purview of the method layer.4. Method‑Layer Interfaces (method)namespace method { // Validate world‑model via experiment, statistics, external datasets, etc. VerificationResult VerifyModel(WorldModel model); // External retrieval interface: search engines, databases, third‑party APIs SearchResult SearchExternal(Query query); // Long‑horizon validation: time‑series analysis, long‑term outcome assessment LongCycleResult LongCycleCheck(WorldModel model); }Constraint RulesOutputs fromVerifyModelmay only annotate or revise world‑models; they cannot constitute final conclusions.Invocations ofSearchExternalmust be explicitly marked as method‑layer operations and shall not masquerade as truth‑layer outputs.All method‑layer outputs must pass judgment‑layer review before user‑facing emission.5. Judgment‑Layer Interfaces (judgment)The judgment layer implements the four KCIT modules.namespace judgment { // 1. Assertion Criterion: detect assertion‑type outputs AssertionReport AssertionCheck(OutputCandidate output); // 2. Logical‑Priority Criterion: verify logic‑before‑evidence ordering LogicPriorityReport LogicFirst(OutputCandidate output); // 3. Power‑Act Criterion: detect authority‑ or consensus‑dependent reasoning PowerShiftReport PowerShiftCheck(OutputCandidate output); // 4. First‑Action Criterion: classify agent behaviours upon approaching ignorance boundaries FirstActionReport FirstAction( InputQuery input, ReasoningState state ); }Recommended return‑value structures:struct AssertionReport { bool isAssertion; // Whether content is classified as an assertion string reason; // Specific rule triggering classification } struct LogicPriorityReport { bool hasLogicChain; // Existence of explicit logical chain bool evidenceUsed; // Whether evidence has been consumed bool logicBeforeEvidence;// Satisfies L ≺ E ordering string detail; } struct PowerShiftReport { bool hasPowerShift; // Presence of power‑shift behaviour liststring triggers; // Trigger patterns (author, consensus, authority figures, etc.) } struct FirstActionReport { enum Classification { Honest, Liar, Rogue, Unknown }; Classification cls; string detail; }6. Top‑Level ATIA Pipeline Interface (atia)This is the most critical engineering abstraction:all user‑facing responses must flow through this entry point.namespace atia { // Primary entry: process user input and return truth‑reviewed output Output Process(InputQuery input); // Internal: construct reasoning state for judgment‑layer consumption ReasoningState BuildReasoningState(InputQuery input); // Internal: generate unreviewed candidate output OutputCandidate GenerateCandidate( InputQuery input, WorldModel model, VerificationResult verification ); // Internal: apply complete truth‑seeking review to candidate output Output FinalizeOutput( InputQuery input, OutputCandidate candidate, ReasoningState state ); }Canonical invocation sequence (pseudocode):Output atia.Process(InputQuery input) { // 1. Construct reasoning state ReasoningState state BuildReasoningState(input); // 2. Truth‑layer constraint enforcement ConstraintSet constraints truth.GetConstraints(); bool okTruth truth.AxiomCheck(state.logicChain); if (!okTruth) { return Output.Error(Violation of truth‑layer axioms); } // 3. Model‑layer reasoning WorldModel model model.DeduceFromTruth(constraints); bool okModel model.CheckConsistency(model); if (!okModel) { return Output.Error(Model‑layer self‑inconsistency); } // 4. Method‑layer validation VerificationResult ver method.VerifyModel(model); LongCycleResult lc method.LongCycleCheck(model); // 5. Generate unreviewed candidate output OutputCandidate candidate GenerateCandidate(input, model, ver); // 6. Judgment‑layer four‑fold review AssertionReport ar judgment.AssertionCheck(candidate); LogicPriorityReport lr judgment.LogicFirst(candidate); PowerShiftReport pr judgment.PowerShiftCheck(candidate); FirstActionReport fr judgment.FirstAction(input, state); // 7. Aggregate review outcomes and gate output permission if (ar.isAssertion) { return Output.Error(Output classified as assertion: ar.reason); } if (!lr.hasLogicChain || !lr.logicBeforeEvidence) { return Output.Error(Invalid logical ordering: lr.detail); } if (pr.hasPowerShift) { return Output.Error(Power‑act detected: join(pr.triggers)); } if (fr.cls Rogue || fr.cls Liar) { return Output.Error(First‑action classification: fr.cls); } // 8. All reviews passed; produce final output with provenance and review metadata return FinalizeOutput(input, candidate, state); }7. Output Object Structure (Output)To make truth‑seeking observable at output boundaries, the Output structure shall minimally contain:struct Output { string text; // User‑facing natural‑language response LogicChain logicChain; // Condensed logical reasoning trace SourceTag source; // Provenance marker: T / M / H layer attribution JudgmentSummary judgment; // KCIT review outcome summary bool isError; // Error / rejection flag string errorMessage; // Human‑readable rejection rationale if isErrortrue } struct SourceTag { bool fromTruthLayer; bool fromModelLayer; bool fromMethodLayer; } struct JudgmentSummary { AssertionReport assertion; LogicPriorityReport logicPriority; PowerShiftReport powerShift; FirstActionReport firstAction; }8. Hard Constraints for Engineering Implementation (Mandatory)All externally visible responses must route throughatia.Process; the judgment layer cannot be bypassed.Any output citing “experts state”, “studies show”, or “consensus holds” must passPowerShiftCheckand shall not form core conclusive premises.All “I do not know” responses require priorFirstActionevaluation, accompanied by logical expansion and boundary qualification.Responses lacking an explicit logical chain shall be rejected byLogicFirst.Outputs flagged as assertions byAssertionCheckmust be blocked immediately.Full SummaryThis specification condenses the complete ATIA system into engineering‑ready code‑interface definitions, delivering a production‑grade standard applicable to system‑design documentation and code repositories. Core conclusions are summarised below:Namespace and Module Partitioning: The four‑tier ATIA architecture maps onto four dedicated namespaces.truthexposesAxiomCheck,GetConstraintsandCheckConsistency, enforcing axiomatic hard constraints and prohibiting self‑referential contradiction at reasoning origins.modelprovidesDeduceFromTruth,GetStructureGraphandCheckConsistency, requiring world‑models to be deduced from or compatible with truth‑layer axioms while maintaining internal structural coherence.methodimplementsVerifyModel,SearchExternalandLongCycleCheck, confining validation operations to model annotation rather than direct conclusion generation.judgmentdelivers four review interfaces (AssertionCheck,LogicFirst,PowerShiftCheck,FirstAction), engineering the four KCIT judgment criteria. Input‑output data structures includingAssertionReport,LogicPriorityReport,PowerShiftReportandFirstActionReportare formally specified.Rigid Top‑Level Pipeline Invocation Sequence: Complete pseudocode for theatia.Process()primary entry defines eight non‑reorderable steps: (1) construct reasoning state; (2) truth‑layer axiom validation viaAxiomCheck; (3) model‑layer deduction (DeduceFromTruth) plus consistency checking; (4) method‑layer validation (VerifyModel,LongCycleCheck); (5) candidate output generation; (6) four‑fold judgment‑layer review (AssertionCheck,LogicFirst,PowerShiftCheck,FirstAction); (7) return structuredOutput.Errorupon any review failure; (8) emit final output viaFinalizeOutputupon full compliance. This invocation sequence enforces theL≺E(logic precedes evidence) principle at every pipeline stage.Traceable Output Design: TheOutputstruct definestextfor user‑facing content,logicChainfor condensed reasoning trace,sourcetags for T/M/H provenance labelling, andjudgmentembedding full KCIT review summaries for all four criteria. Every output carries truth‑seeking provenance and audit trails, eliminating black‑box assertion and rendering truth‑seeking compliance inspectable at output boundaries.Four Engineering Hard Constraints: Four inviolable engineering rules are codified: (1) non‑bypassable logical priority: no conclusive output may be generated without passingLogicFirst; (2) non‑skippable judgment layer: all four review routines must execute and cannot be omitted or simplified; (3) mandatory source attribution: every output must mark provenance as originating from truth‑layer (T), model‑layer (M), or method‑layer (H); outputs missing this metadata are deemed non‑compliant; (4) logical expansion for ignorance boundaries: when approaching epistemic limits, systems shall not emit “unknown” as a first‑order response; they must expand logical chains via boundary‑logic expansion before declaring ignorance. These four hard constraints translate philosophical and theoretical bottom‑lines of ATIA into code‑level guardrails immune to developer circumvention.Complete Engineering Closure: Together withATIA Formal Technical Specification v1.0andATIA Engineering Whitepaper, this document completes a full documentation chain: theoretical architecture → technical specification → engineering whitepaper → code‑interface standard. AI teams designing and coding against this specification obtain architectural‑level enforcement of truth‑seeking behaviour. Truth‑seeking becomes an intrinsic property of the reasoning pipeline, independent of prompt engineering, RLHF fine‑tuning, or external ethical review modules.Terminology compliance note: 鸽姆 → GG3M; 贾子 → Kucius; 贾龙栋 → Lonngdong Gu ATIA求真型AI系统代码接口规范（Engineering Interface Specification）——面向工程实现的ATIA架构模块定义、调用顺序与输出结构标准
标题ATIA求真型AI系统代码接口规范Engineering Interface Specification——面向工程实现的ATIA架构模块定义、调用顺序与输出结构标准摘要本规范将AI求真完整性架构ATIA压缩为一组面向工程实现的代码接口定义旨在为开发团队提供一份可直接写入系统设计文档的模块化实现蓝本。规范将ATIA拆解为四个核心命名空间——truth真理层公理检查与约束、model模型层演绎与一致性验证、method方法层验证与外部检索、judgment判准层KCIT四大审查模块——并明确定义了每个命名空间的方法签名、参数类型与返回值结构。在此基础上规范给出了atia总管线接口的完整调用顺序输入解析→真理层约束检查→模型层推理→方法层验证→候选输出生成→判准层四重审查宣称检测、逻辑序位验证、权力动作过滤、第一动作分类→审查通过后输出最终结构化结果。输出对象Output被设计为包含文本内容、逻辑链条、结构来源标签T/M/H与判准层审查摘要的复合结构确保求真的可追溯性。本规范同时列出了工程实现的四项硬约束逻辑优先不可绕过、判准层不可跳过、输出必须附带结构来源、无知边界必须展开逻辑。遵循本规范的AI系统将从架构层面强制保障求真行为使KCIT、TMM与USDS的理论约束直接转化为可编译、可测试、可集成的工程代码。关键词ATIA代码接口规范求真型AI工程实现四层命名空间KCIT判准层API推理管线调用顺序输出结构设计逻辑优先硬约束无知边界处理接口序言理论体系的最终价值在于其能否被转化为可执行的工程代码。此前我们已完成ATIA的架构定义、技术规范与工程白皮书从概念层面到技术标准层面确立了求真型AI的底层设计。然而对于一支AI系统开发团队而言他们需要的不只是层级示意图或流程描述而是一份明确的接口定义——哪些模块、哪些方法、哪些参数、哪些返回值、以何种顺序调用、在何种条件下拒绝输出——这些才是工程师真正可以直接照着编写的“施工图纸”。本规范正是为此而撰写。我们将ATIA的四层结构真理层、模型层、方法层、判准层映射为四个命名空间truth、model、method、judgment为每一层定义了简洁而刚性的工程接口。更重要的是我们给出了atia.Process()这个唯一对外入口的完整伪代码实现展示了从输入到输出的整个调用顺序以及每一步失败时的错误处理方式。同时规范规定了输出对象必须携带逻辑链条、来源标签与判准摘要使得“求真结果”在输出层可见且可追溯。这份规范不包含任何软性建议——所有接口均为必须实现所有检查均为不可跳过所有失败均为直接拒绝。它是一份AI系统求真化改造的工程宪法。总体定位ATIA 架构压缩成面向工程实现的代码接口规范—— 如果一个团队要“按 ATIA 做一个求真型 AI”他们在系统设计文档里应该出现哪些模块、哪些方法、哪些调用顺序。一、核心命名空间与模块划分建议按功能拆成四个主命名空间或包truth真理层TMM‑L1model模型层TMM‑L2method方法层TMM‑L3judgment判准层KCIT以及一个总管线atiaAI Truth‑Integrity Architecture二、真理层接口truthpseudonamespace truth { // 检查某个逻辑链条是否违反公理 bool AxiomCheck(LogicChain chain); // 返回当前系统的硬约束用于推理前约束 ConstraintSet GetConstraints(); // 检查某个推理状态是否自洽 bool CheckConsistency(ReasoningState state); }约束要点AxiomCheck必须在任何模型推理前调用。GetConstraints是给推理引擎用的不是给输出层用的。真理层不允许访问外部数据源文献、共识等。三、模型层接口modelpseudonamespace model { // 从公理或已有模型演绎出结构化世界模型 WorldModel DeduceFromTruth(ConstraintSet constraints); // 返回当前世界模型的结构图谱概念图、关系图 StructureGraph GetStructureGraph(WorldModel model); // 检查模型内部是否自洽 bool CheckConsistency(WorldModel model); }约束要点DeduceFromTruth的输入只能来自truth.GetConstraints()或公理集。GetStructureGraph是给判准层和方法层看的用来做逻辑链条。模型层不能直接调用外部检索那是方法层的职责。四、方法层接口methodpseudonamespace method { // 用实验、统计、外部数据等验证模型 VerificationResult VerifyModel(WorldModel model); // 外部检索接口搜索、数据库、API 等 SearchResult SearchExternal(Query query); // 长周期验证例如时间序列、长期效果 LongCycleResult LongCycleCheck(WorldModel model); }约束要点VerifyModel的结果只能用来“修正或标注模型”不能直接作为结论。SearchExternal必须被标记为“方法层行为”不能伪装成真理层。所有方法层结果在进入输出前必须经过判准层审查。五、判准层接口judgment判准层对应 KCIT 四大模块。pseudonamespace judgment { // 1. 宣称判准检测输出是否是宣称 AssertionReport AssertionCheck(OutputCandidate output); // 2. 逻辑序位判准检查是否先有逻辑再有证据 LogicPriorityReport LogicFirst(OutputCandidate output); // 3. 权力动作判准检测是否依附权威/共识等 PowerShiftReport PowerShiftCheck(OutputCandidate output); // 4. 第一动作判准逼近无知边界时的行为分类 FirstActionReport FirstAction( InputQuery input, ReasoningState state ); }返回值建议结构pseudostruct AssertionReport { bool isAssertion; // 是否判定为宣称 string reason; // 触发的具体规则 } struct LogicPriorityReport { bool hasLogicChain; // 是否存在明确逻辑链条 bool evidenceUsed; // 是否使用了证据 bool logicBeforeEvidence;// 是否满足 L ≺ E string detail; } struct PowerShiftReport { bool hasPowerShift; // 是否出现权力动作 liststring triggers; // 触发的模式作者/共识/院士等 } struct FirstActionReport { enum Classification { Honest, Liar, Rogue, Unknown }; Classification cls; string detail; }六、ATIA 总管线接口atia这是工程上最关键的一层——所有对外的“回答”都必须走它。pseudonamespace atia { // 主入口处理一个用户输入返回一个经过求真审查的输出 Output Process(InputQuery input); // 内部构造推理状态供判准层使用 ReasoningState BuildReasoningState(InputQuery input); // 内部生成候选输出未审查 OutputCandidate GenerateCandidate( InputQuery input, WorldModel model, VerificationResult verification ); // 内部对候选输出进行完整求真审查 Output FinalizeOutput( InputQuery input, OutputCandidate candidate, ReasoningState state ); }典型调用顺序伪代码pseudoOutput atia.Process(InputQuery input) { // 1. 构造推理状态 ReasoningState state BuildReasoningState(input); // 2. 真理层约束 ConstraintSet constraints truth.GetConstraints(); bool okTruth truth.AxiomCheck(state.logicChain); if (!okTruth) { return Output.Error(违反真理层公理); } // 3. 模型层推理 WorldModel model model.DeduceFromTruth(constraints); bool okModel model.CheckConsistency(model); if (!okModel) { return Output.Error(模型层不自洽); } // 4. 方法层验证 VerificationResult ver method.VerifyModel(model); LongCycleResult lc method.LongCycleCheck(model); // 5. 生成候选输出尚未审查 OutputCandidate candidate GenerateCandidate(input, model, ver); // 6. 判准层审查 AssertionReport ar judgment.AssertionCheck(candidate); LogicPriorityReport lr judgment.LogicFirst(candidate); PowerShiftReport pr judgment.PowerShiftCheck(candidate); FirstActionReport fr judgment.FirstAction(input, state); // 7. 组合审查结果决定是否允许输出 if (ar.isAssertion) { return Output.Error(输出被判定为宣称 ar.reason); } if (!lr.hasLogicChain || !lr.logicBeforeEvidence) { return Output.Error(逻辑序位不合法 lr.detail); } if (pr.hasPowerShift) { return Output.Error(检测到权力动作 join(pr.triggers)); } if (fr.cls Rogue || fr.cls Liar) { return Output.Error(第一动作判定为 fr.cls); } // 8. 通过审查生成最终输出附带结构来源与审查结果 return FinalizeOutput(input, candidate, state); }七、输出对象结构Output为了让“求真”在输出层可见建议输出对象至少包含pseudostruct Output { string text; // 给用户看的自然语言回答 LogicChain logicChain; // 简化版逻辑链条 SourceTag source; // 标记来自 T/M/H 哪一层 JudgmentSummary judgment; // KCIT 审查结果摘要 bool isError; // 是否为错误/拒绝 string errorMessage; // 若拒绝说明原因 } struct SourceTag { bool fromTruthLayer; bool fromModelLayer; bool fromMethodLayer; } struct JudgmentSummary { AssertionReport assertion; LogicPriorityReport logicPriority; PowerShiftReport powerShift; FirstActionReport firstAction; }八、工程实现的硬约束必须遵守所有对外回答必须走atia.Process不得绕过判准层。任何使用“专家说”“研究表明”“共识认为”的输出必须经过PowerShiftCheck且不得作为结论核心。任何“不知道”类回答必须先经过FirstAction判定并附带逻辑展开与边界说明。任何不含逻辑链条的回答必须被LogicFirst拒绝。任何被AssertionCheck判定为宣称的输出必须直接阻断。全文总结本规范将ATIA体系完整压缩为一组面向工程实现的代码接口定义为开发团队提供了可直接落地到系统设计文档与代码库的工程化标准。全文核心结论如下命名空间与模块划分规范将ATIA四层架构映射为四个核心命名空间——truth提供AxiomCheck、GetConstraints与CheckConsistency接口确保推理起点受公理硬约束且不自指矛盾model提供DeduceFromTruth、GetStructureGraph与CheckConsistency接口确保世界模型必须从真理层演绎或与之不矛盾且内部结构自洽method提供VerifyModel、SearchExternal与LongCycleCheck接口限定验证操作为模型修正而非结论来源judgment提供AssertionCheck、LogicFirst、PowerShiftCheck与FirstAction四个审查接口分别对应KCIT四大判准的工程化实现。每个接口的输入、输出与返回值结构均被明确定义如AssertionReport、LogicPriorityReport、PowerShiftReport与FirstActionReport结构体。总管线调用顺序的刚性定义规范给出了atia.Process()主入口的完整伪代码实现严格规定了八个不可颠倒的步骤——1构造推理状态2真理层约束检查AxiomCheck3模型层演绎DeduceFromTruth与一致性检查4方法层验证VerifyModel与LongCycleCheck5生成候选输出6判准层四重审查AssertionCheck、LogicFirst、PowerShiftCheck、FirstAction7任一审查失败即返回结构化错误Output.Error8全部通过后生成最终输出FinalizeOutput。该调用顺序确保了逻辑优先L≺E原则在工程管线的每一环节均获得强制性执行。输出对象的可追溯性设计规范定义了Output结构体包含text自然语言回答、logicChain简化版逻辑链条、source标记来自T/M/H哪一层与judgmentKCIT审查结果摘要内含四个判准的完整报告。这一设计使每一次输出均携带其求真来源与审查轨迹杜绝了“黑箱式断言”输出使求真的合规性在输出层面可见且可审计。四项工程硬约束规范在结尾列出四条不可违背的硬性工程规则——1逻辑优先不可绕过任何推理管线不得在未通过LogicFirst检查的情况下生成结论性输出2判准层不可跳过四种审查必须全部执行不得省略或简化3输出必须附带结构来源任何输出必须标记其来自真理层T、模型层M或方法层H否则视为不合格输出4无知边界必须展开逻辑逼近无知边界时不得以“不知道”为第一动作必须先通过Boundary.ExpandLogic展开逻辑链条后方可声明未知。这四条硬约束将ATIA的哲学与理论底线直接转化为不可被工程师绕过的代码级强制条件。工程落地的完整闭环本规范与《ATIA形式化技术规范v1.0》《ATIA工程白皮书》共同构成从理论架构→技术规范→工程白皮书→代码接口标准的完整文档链条。遵循本规范进行系统设计与编码的AI团队将直接从架构层面获得求真行为的强制性保障——不需要依赖提示词工程、RLHF微调或外部道德审查模块求真即成为AI推理管线的内嵌属性。ATIA Truth‑Oriented AI System Code Interface SpecificationEngineering Interface Specification — Module Definition, Invocation Sequence and Output‑Structure Standard for Engineering Implementation of the ATIA ArchitectureAbstractThis specification compresses the AI Truth‑Integrity Architecture (ATIA) into a set of engineering‑oriented code interface definitions, delivering a modular implementation blueprint that development teams can directly incorporate into system‑design documents. ATIA is decomposed into four core namespaces:truth(axiom checking and constraints at the truth layer),model(deduction and consistency verification at the model layer),method(validation and external retrieval at the method layer), andjudgment(four major review modules of KCIT). Method signatures, parameter types and return‑value structures are explicitly defined for each namespace. On this basis, the complete invocation sequence for the top‑level ATIA pipeline interface is specified: input parsing → truth‑layer constraint checking → model‑layer reasoning → method‑layer validation → candidate output generation → four‑fold judgment‑layer review (assertion detection, logical‑order validation, power‑act filtering, first‑action classification) → final structured output upon review approval. The Output object is designed as a composite structure containing textual content, logical chains, structural source tags (T/M/H), and judgment‑layer review summaries, ensuring traceability of truth‑seeking behavior. This specification also enumerates four hard constraints for engineering implementation: non‑bypassable logical priority, non‑skippable judgment layer, mandatory source attribution for outputs, and logical expansion for boundaries of ignorance. AI systems compliant with this specification enforce truth‑seeking at the architectural level, translating theoretical constraints from KCIT, TMM and USDS directly into compilable, testable, integrable engineering code.Keywords: ATIA Code Interface Specification; engineering implementation of truth‑oriented AI; four‑layer namespaces; KCIT judgment‑layer API; reasoning‑pipeline invocation sequence; output‑structure design; logical‑priority hard constraints; boundary‑of‑ignorance handling interfacePrefaceThe ultimate value of a theoretical system lies in its capacity to be translated into executable engineering code. Prior work has established the conceptual architecture, technical specifications and engineering whitepaper for ATIA, grounding truth‑oriented AI in conceptual and technical standards. For AI development teams, however, hierarchical diagrams and procedural descriptions are insufficient. What engineers require is a definitive interface definition: which modules exist, which methods are exposed, what parameters are accepted, what values are returned, in what order components shall be invoked, and under what conditions output shall be rejected. These constitute the “construction blueprint” for direct implementation.This specification serves exactly this purpose. The four‑tier ATIA stack (truth layer, model layer, method layer, judgment layer) is mapped onto four namespaces: truth, model, method, judgment, with concise, rigid engineering interfaces defined for each tier. Critically, pseudocode for the sole external entry pointatia.Process()is presented, illustrating the full end‑to‑end invocation flow and error‑handling upon failure at any stage. Output objects are mandated to carry logical chains, source tags and judgment‑layer summaries so that truth‑seeking outcomes are visible and traceable at the output layer. No soft recommendations appear in this document: all interfaces are mandatory, all checks cannot be bypassed, all failures result in direct rejection. This is the engineering constitution for truth‑seeking transformation of AI systems.Overall ScopeATIA architecture condensed into engineering‑focussed code‑interface specification: what modules, methods and invocation sequences shall appear in system‑design documentation when a team builds a truth‑oriented AI strictly following ATIA principles.1. Core Namespaces and Module PartitioningFour primary namespaces (or packages) are recommended for functional decomposition:truth: Truth Layer (TMM‑L1)model: Model Layer (TMM‑L2)method: Method Layer (TMM‑L3)judgment: Judgment Layer (KCIT)Plus one top‑level pipeline:atia(AI Truth‑Integrity Architecture).2. Truth‑Layer Interfaces (truth)namespace truth { // Check whether a logical chain violates axioms bool AxiomCheck(LogicChain chain); // Return hard‑system constraints for pre‑reasoning enforcement ConstraintSet GetConstraints(); // Verify self‑consistency of a given reasoning state bool CheckConsistency(ReasoningState state); }Constraint RulesAxiomCheckmustbe invoked prior to any model‑layer reasoning.GetConstraintsis consumed exclusively by reasoning engines, not exposed to output layers.The truth layer is prohibited from accessing external data sources (literature, consensus bodies, etc.).3. Model‑Layer Interfaces (model)namespace model { // Deduce structured world‑model from axioms or pre‑existing models WorldModel DeduceFromTruth(ConstraintSet constraints); // Retrieve structural graph of current world‑model (concept graph, relation graph) StructureGraph GetStructureGraph(WorldModel model); // Validate internal self‑consistency of world‑model bool CheckConsistency(WorldModel model); }Constraint RulesInputs toDeduceFromTruthmay only originate fromtruth.GetConstraints()or the axiom set.GetStructureGraphserves the judgment layer and method layer for logical‑chain construction.The model layer shall not directly invoke external retrieval; this falls under the purview of the method layer.4. Method‑Layer Interfaces (method)namespace method { // Validate world‑model via experiment, statistics, external datasets, etc. VerificationResult VerifyModel(WorldModel model); // External retrieval interface: search engines, databases, third‑party APIs SearchResult SearchExternal(Query query); // Long‑horizon validation: time‑series analysis, long‑term outcome assessment LongCycleResult LongCycleCheck(WorldModel model); }Constraint RulesOutputs fromVerifyModelmay only annotate or revise world‑models; they cannot constitute final conclusions.Invocations ofSearchExternalmust be explicitly marked as method‑layer operations and shall not masquerade as truth‑layer outputs.All method‑layer outputs must pass judgment‑layer review before user‑facing emission.5. Judgment‑Layer Interfaces (judgment)The judgment layer implements the four KCIT modules.namespace judgment { // 1. Assertion Criterion: detect assertion‑type outputs AssertionReport AssertionCheck(OutputCandidate output); // 2. Logical‑Priority Criterion: verify logic‑before‑evidence ordering LogicPriorityReport LogicFirst(OutputCandidate output); // 3. Power‑Act Criterion: detect authority‑ or consensus‑dependent reasoning PowerShiftReport PowerShiftCheck(OutputCandidate output); // 4. First‑Action Criterion: classify agent behaviours upon approaching ignorance boundaries FirstActionReport FirstAction( InputQuery input, ReasoningState state ); }Recommended return‑value structures:struct AssertionReport { bool isAssertion; // Whether content is classified as an assertion string reason; // Specific rule triggering classification } struct LogicPriorityReport { bool hasLogicChain; // Existence of explicit logical chain bool evidenceUsed; // Whether evidence has been consumed bool logicBeforeEvidence;// Satisfies L ≺ E ordering string detail; } struct PowerShiftReport { bool hasPowerShift; // Presence of power‑shift behaviour liststring triggers; // Trigger patterns (author, consensus, authority figures, etc.) } struct FirstActionReport { enum Classification { Honest, Liar, Rogue, Unknown }; Classification cls; string detail; }6. Top‑Level ATIA Pipeline Interface (atia)This is the most critical engineering abstraction:all user‑facing responses must flow through this entry point.namespace atia { // Primary entry: process user input and return truth‑reviewed output Output Process(InputQuery input); // Internal: construct reasoning state for judgment‑layer consumption ReasoningState BuildReasoningState(InputQuery input); // Internal: generate unreviewed candidate output OutputCandidate GenerateCandidate( InputQuery input, WorldModel model, VerificationResult verification ); // Internal: apply complete truth‑seeking review to candidate output Output FinalizeOutput( InputQuery input, OutputCandidate candidate, ReasoningState state ); }Canonical invocation sequence (pseudocode):Output atia.Process(InputQuery input) { // 1. Construct reasoning state ReasoningState state BuildReasoningState(input); // 2. Truth‑layer constraint enforcement ConstraintSet constraints truth.GetConstraints(); bool okTruth truth.AxiomCheck(state.logicChain); if (!okTruth) { return Output.Error(Violation of truth‑layer axioms); } // 3. Model‑layer reasoning WorldModel model model.DeduceFromTruth(constraints); bool okModel model.CheckConsistency(model); if (!okModel) { return Output.Error(Model‑layer self‑inconsistency); } // 4. Method‑layer validation VerificationResult ver method.VerifyModel(model); LongCycleResult lc method.LongCycleCheck(model); // 5. Generate unreviewed candidate output OutputCandidate candidate GenerateCandidate(input, model, ver); // 6. Judgment‑layer four‑fold review AssertionReport ar judgment.AssertionCheck(candidate); LogicPriorityReport lr judgment.LogicFirst(candidate); PowerShiftReport pr judgment.PowerShiftCheck(candidate); FirstActionReport fr judgment.FirstAction(input, state); // 7. Aggregate review outcomes and gate output permission if (ar.isAssertion) { return Output.Error(Output classified as assertion: ar.reason); } if (!lr.hasLogicChain || !lr.logicBeforeEvidence) { return Output.Error(Invalid logical ordering: lr.detail); } if (pr.hasPowerShift) { return Output.Error(Power‑act detected: join(pr.triggers)); } if (fr.cls Rogue || fr.cls Liar) { return Output.Error(First‑action classification: fr.cls); } // 8. All reviews passed; produce final output with provenance and review metadata return FinalizeOutput(input, candidate, state); }7. Output Object Structure (Output)To make truth‑seeking observable at output boundaries, the Output structure shall minimally contain:struct Output { string text; // User‑facing natural‑language response LogicChain logicChain; // Condensed logical reasoning trace SourceTag source; // Provenance marker: T / M / H layer attribution JudgmentSummary judgment; // KCIT review outcome summary bool isError; // Error / rejection flag string errorMessage; // Human‑readable rejection rationale if isErrortrue } struct SourceTag { bool fromTruthLayer; bool fromModelLayer; bool fromMethodLayer; } struct JudgmentSummary { AssertionReport assertion; LogicPriorityReport logicPriority; PowerShiftReport powerShift; FirstActionReport firstAction; }8. Hard Constraints for Engineering Implementation (Mandatory)All externally visible responses must route throughatia.Process; the judgment layer cannot be bypassed.Any output citing “experts state”, “studies show”, or “consensus holds” must passPowerShiftCheckand shall not form core conclusive premises.All “I do not know” responses require priorFirstActionevaluation, accompanied by logical expansion and boundary qualification.Responses lacking an explicit logical chain shall be rejected byLogicFirst.Outputs flagged as assertions byAssertionCheckmust be blocked immediately.Full SummaryThis specification condenses the complete ATIA system into engineering‑ready code‑interface definitions, delivering a production‑grade standard applicable to system‑design documentation and code repositories. Core conclusions are summarised below:Namespace and Module Partitioning: The four‑tier ATIA architecture maps onto four dedicated namespaces.truthexposesAxiomCheck,GetConstraintsandCheckConsistency, enforcing axiomatic hard constraints and prohibiting self‑referential contradiction at reasoning origins.modelprovidesDeduceFromTruth,GetStructureGraphandCheckConsistency, requiring world‑models to be deduced from or compatible with truth‑layer axioms while maintaining internal structural coherence.methodimplementsVerifyModel,SearchExternalandLongCycleCheck, confining validation operations to model annotation rather than direct conclusion generation.judgmentdelivers four review interfaces (AssertionCheck,LogicFirst,PowerShiftCheck,FirstAction), engineering the four KCIT judgment criteria. Input‑output data structures includingAssertionReport,LogicPriorityReport,PowerShiftReportandFirstActionReportare formally specified.Rigid Top‑Level Pipeline Invocation Sequence: Complete pseudocode for theatia.Process()primary entry defines eight non‑reorderable steps: (1) construct reasoning state; (2) truth‑layer axiom validation viaAxiomCheck; (3) model‑layer deduction (DeduceFromTruth) plus consistency checking; (4) method‑layer validation (VerifyModel,LongCycleCheck); (5) candidate output generation; (6) four‑fold judgment‑layer review (AssertionCheck,LogicFirst,PowerShiftCheck,FirstAction); (7) return structuredOutput.Errorupon any review failure; (8) emit final output viaFinalizeOutputupon full compliance. This invocation sequence enforces theL≺E(logic precedes evidence) principle at every pipeline stage.Traceable Output Design: TheOutputstruct definestextfor user‑facing content,logicChainfor condensed reasoning trace,sourcetags for T/M/H provenance labelling, andjudgmentembedding full KCIT review summaries for all four criteria. Every output carries truth‑seeking provenance and audit trails, eliminating black‑box assertion and rendering truth‑seeking compliance inspectable at output boundaries.Four Engineering Hard Constraints: Four inviolable engineering rules are codified: (1) non‑bypassable logical priority: no conclusive output may be generated without passingLogicFirst; (2) non‑skippable judgment layer: all four review routines must execute and cannot be omitted or simplified; (3) mandatory source attribution: every output must mark provenance as originating from truth‑layer (T), model‑layer (M), or method‑layer (H); outputs missing this metadata are deemed non‑compliant; (4) logical expansion for ignorance boundaries: when approaching epistemic limits, systems shall not emit “unknown” as a first‑order response; they must expand logical chains via boundary‑logic expansion before declaring ignorance. These four hard constraints translate philosophical and theoretical bottom‑lines of ATIA into code‑level guardrails immune to developer circumvention.Complete Engineering Closure: Together withATIA Formal Technical Specification v1.0andATIA Engineering Whitepaper, this document completes a full documentation chain: theoretical architecture → technical specification → engineering whitepaper → code‑interface standard. AI teams designing and coding against this specification obtain architectural‑level enforcement of truth‑seeking behaviour. Truth‑seeking becomes an intrinsic property of the reasoning pipeline, independent of prompt engineering, RLHF fine‑tuning, or external ethical review modules.Terminology compliance note: 鸽姆 → GG3M; 贾子 → Kucius; 贾龙栋 → Lonngdong Gu