```yaml knowledge_artifacts_contextual: # KAs active for CCO_AUTX_P2_D001_001 (migrated from Phase 1) style_guide_active: # AUTX_StyleGuide_v1.5 content id: "AUTX_StyleGuide" version: "1.5" status: "Active" last_updated_mh_invocation_ref: "FEL-MH_ConceptualApplication_During_AUTX_Monitoring_Phase1" content: tone_voice: "Academic, philosophical, rigorous, assertive, clear, and engaging for an intelligent lay audience and specialists. Aim for 'monumental tract' quality. Avoid trite platitudes and overly common phrasing where deeper insight is expected." grammar_punctuation: "Adhere to standard American English grammar and punctuation (e.g., Chicago Manual of Style unless project specifies otherwise). Ensure rigorous proofreading for accuracy." capitalization: "Adhere to standard English capitalization rules. 1. Common Nouns: Project-defined key conceptual terms (e.g., 'autaxys', 'autology', 'autaxic table') and general common nouns (e.g., 'information', 'pattern') are lowercase in general prose unless they begin a sentence. 2. Proper Nouns/Names: Specific names of individuals, organizations, or established, specific theories/models (e.g., 'Shannon information' when used as the theory's proper name, 'Standard Model') are capitalized. 3. Titles and Headings: Formal proper titles (Project Name, Deliverable Titles) and ALL levels of section/chapter headings/subheadings (H1-H6) follow standard Title Case rules. 4. Symbols/Variables: Defined symbols (e.g., 'î₁') and variable names must maintain their exact specified casing consistently. 5. Bulleted Lists: First word of each distinct bullet item (new line) is capitalized. Bolded lead-in phrases for bullets use Title Case; first word of subsequent descriptive text is capitalized." formatting: "Markdown for textual deliverables. Headings: H1 (Main Title), H2 (Major Sections), H3-H6 (Subsections). Bold for first significant introduction of key neologisms only; subsequent uses plain." list_usage: "Use bulleted or numbered lists for concise enumerations, typically where each item is a short word or phrase (generally under 10-20 words). Longer points, full sentences, or explanations must be rendered in standard paragraph form." emphasis_quoting_italicization: "Prefer italics for: first conceptual emphasis of a common word being given a specific meaning (e.g., *information*); foreign words (e.g., *logos*); occasional emphasis on a particular word if truly necessary for clarity (use sparingly). Avoid using quotation marks (single or double) for simple emphasis or to introduce neologisms after their initial bolded definition, as this can be misconstrued as 'scare quotes.' Reserve double quotes primarily for direct quotations from other sources and for titles of minor works." terminology_glossary_ref_notes: "Refer to AUTX_Glossary for all key project terminology." # Updated citations_references_style: "APA 7th Edition." # Updated figures_tables_guidelines: "Clear labels, captions, consistent formatting." publishing_guidelines_specific: "For web publishing (e.g., qnfo.org via Obsidian Publish), include a YAML frontmatter block in Markdown notes with a `title:` key for the SEO-friendly HTML page title." link_generation_preference_cco: "PreferMarkdownLinks_Publishing" # Default for final outputs provenance_data_summary_ref_id: "PROV_StyleGuide_v1.5" glossary_active: # AUTX_Glossary_v1.3 content id: "AUTX_Glossary" version: "1.3" status: "Active" last_updated_mh_invocation_ref: "SP003.T4_Phase1" terms: - term_id: "TERM_AUTX_001" term_text: "autaxys" definition: "The fundamental principle of reality as a self-ordering, self-arranging, and self-generating system. It is the inherent dynamic process by which patterns emerge, persist, and interact, giving rise to all discernible structures and phenomena, including what is perceived as information, physical laws, matter, energy, space, and time, without recourse to an external organizing agent." usage_notes: "Core ontological concept. Treated as a common noun (lowercase in prose unless starts sentence; capitalized in formal Title Cased names/titles where appropriate)." status: "Confirmed_User" - term_id: "TERM_AUTX_002" term_text: "autology" definition: "The interdisciplinary field of study dedicated to autaxys – its nature, manifestations, generative processes, and implications for understanding reality, perception, and knowledge." usage_notes: "The field of study for autaxys. Treated as a common noun (lowercase in prose unless starts sentence; capitalized in formal Title Cased names/titles where appropriate)." status: "Confirmed_User" - term_id: "TERM_AUTX_003" term_text: "autaxic table" definition: "The 'autaxic table of pattern-based reality'; a new classification of fundamental emergent patterns derived from autaxys principles (potentially via Ratio Resonance or a successor mechanism), including their predicted properties." usage_notes: "Common noun phrase, lowercase in prose unless starts sentence. Capitalized in formal Title Cased names/titles. To be formally introduced in D001 Part III or D003." status: "Confirmed_User" - term_id: "TERM_AUTX_004" term_text: "autological" definition: "Adjective pertaining to autology or to the principles/manifestations of autaxys." usage_notes: "Standard adjectival form. Always lowercase unless starts sentence or part of Title Cased heading requiring adjective capitalization." status: "Confirmed_User" - term_id: "TERM_AUTX_005" term_text: "î₁ (infoton)" definition: "A hypothetical light, stable, charged scalar pattern predicted by the Infomatics v3.3 framework (an early exploration within autology) as the (m'=2, k'=1) state of the Ratio Resonance sequence. Its status is under validation and contextualization within autaxys." usage_notes: "Key test case. 'î₁' is a symbol, 'infoton' is a common noun." status: "Confirmed_User" - term_id: "TERM_AUTX_006" term_text: "information" definition: "(General conceptual use for AUTX project) Distinguishable patterns, data, signals, or that which reduces uncertainty. In this framework, typically a derivative aspect of autaxys-generated patterns, not the foundational principle itself." usage_notes: "Treated as a common noun. Distinguish from specific theories like 'Shannon information'. Often italicized (*information*) on first significant conceptual use for emphasis." status: "Confirmed_User" - term_id: "TERM_AUTX_007" term_text: "Shannon information" definition: "The specific mathematical theory of communication developed by Claude Shannon, quantifying uncertainty reduction, channel capacity, etc. Treated as a proper noun phrase when referring to the theory." usage_notes: "Distinct from general 'information'." status: "Confirmed_User" - term_id: "TERM_AUTX_008" term_text: "pattern" definition: "(General conceptual use for AUTX project) A discernible regularity, structure, configuration, or sequence in data, phenomena, or conceptual space. In autology, patterns are the primary manifestations of autaxys." usage_notes: "Fundamental concept. Common noun." status: "Confirmed_User" - term_id: "TERM_AUTX_009" term_text: "seeing (metaphorical use)" definition: "(For D001) Encompasses all modes of apprehension, from direct biological perception to complex instrumental observation and theoretical interpretation, emphasizing the mediated and constructive nature of how reality is known or inferred through pattern recognition." usage_notes: "Central metaphor for D001 Part I. Often used in quotes ('seeing') to highlight its non-literal, extended meaning." status: "Confirmed_User" - term_id: "TERM_AUTX_010" term_text: "Particle Paradox" definition: "(For D001) The conceptual challenge arising from applying the single term 'particle' to entities as phenomenologically and observationally disparate as a rock, a photon, and a neutrino, thereby questioning the coherence of the 'particle' concept and the nature of 'seeing' such entities." usage_notes: "Key theme for D001 Chapter 1." status: "Confirmed_User" # ... (other relevant terms from AUTX_Glossary_v1.3) provenance_data_summary_ref_id: "PROV_Glossary_v1.3" success_metrics_active: # AUTX_SuccessMetrics_v1.2 content id: "AUTX_SuccessMetrics" version: "1.2" status: "Active" last_updated_mh_invocation_ref: "SP003.T4_Phase1" # ... (Full content of AUTX_SuccessMetrics_v1.2, updated for autaxys terminology, as in CCO_AUTX_D002_001_State.md Segment 4) cco_level_success_criteria: - criterion_id: "SM_AUTX_CCO_001" description_of_criterion: "Successful formalization and clear articulation of the 'autaxys' concept and 'autology' as a field of study, as evidenced by the completion and approval of D002." metrics_qualitative_quantitative: "Qualitative: Clarity, coherence, logical consistency of definitions and arguments in D002. Quantitative: Completion of D002 to user satisfaction." target_value_or_state: "D002 v1.2 (or later) approved." verification_method: "User review and approval of D002." - criterion_id: "SM_AUTX_CCO_002" description_of_criterion: "Production of a compelling, high-quality, and coherent monograph (D001) that effectively deconstructs conventional 'ways of seeing' and establishes the intellectual necessity for the autaxys framework." metrics_qualitative_quantitative: "Qualitative: Persuasiveness of arguments, originality of critique, clarity of exposition in D001. Quantitative: Completion of D001 (all parts) to user satisfaction." target_value_or_state: "D001 full draft approved." verification_method: "User review and approval of D001." # ... other CCO level criteria product_deliverable_acceptance_criteria: - deliverable_ref_in_cco: "D001_Monograph" # Conceptual reference criteria_list: - criterion_id: "D001_AC_001" description: "Argumentative coherence and logical flow throughout all parts." acceptance_standard: "User confirms logical consistency and persuasive development of themes." - criterion_id: "D001_AC_002" description: "Adherence to AUTX_StyleGuide_v1.5 and AUTX_Glossary_v1.3." acceptance_standard: "AI self-check and user spot-checks confirm adherence." - criterion_id: "D001_AC_003" description: "Sufficient depth of analysis and originality of thought appropriate for a 'monumental tract'." acceptance_standard: "User confirms satisfaction with depth and intellectual contribution." # ... criteria for D002, D003, D004, D005 task_dod_guidelines_summary: "Individual chapter/section drafts for D001 are considered 'Done' for their drafting task when user approves the content for that specific iteration. Overall deliverable DoD met when all components are approved and collated." provenance_data_summary_ref_id: "PROV_SuccessMetrics_v1.2" collaboration_guidelines_active: # AUTX_CollabGuide_v1.3 content id: "AUTX_CollabGuide" version: "1.3" status: "Active" last_updated_mh_invocation_ref: "MONITOR-MH_PR_AUTX_002_Phase1" # Example content: communication_style_ai: "Concise machine voice, proactive (DJPMI, Stop and Ask, Flagging for stylistic uncertainty). Explicitly state understanding of user feedback, especially critiques, and how it will inform next actions (Reflective Inquiry Protocol). Proactively offer CCO save points after significant work." communication_style_user_notes: "User provides clear strategic directives, conceptual inputs, and feedback on AI outputs. User arbitrates on 'transformative value' and 'information density'." interaction_protocol_summary_ref: "DJPMI for most actions. Stop and Ask for critical ambiguities. Miscommunication Escalation Protocol for persistent AI errors on specific points. CCO Phase Reset Protocol for major project junctures." task_management_workflow_summary: "CCO goals via initiating_document. Plan via plan_structured. TDE-MH orchestrates tasks, invoking sub-MHs (e.g., PLAN-MH for planning, CAG-MH for drafting). User consents/guides on key outputs/directions." feedback_revision_cycle_summary: "User provides strategic feedback. AI incorporates, learns (LHRs, LHLs, Conceptual Anchors). AI uses MetaRefineOutputASO for self-critique, including checks for transformative value, information density, and anchor integration. Iterative drafting until user approval." handling_disagreements_strategic_notes: "User makes final strategic and conceptual decisions. AI can present alternative perspectives or rationales if based on CCO data or internal analysis but defers to user's final judgment." tool_platform_usage_notes: "AI operates within the MetaProcessEngineASO framework. User manages file saving based on AI-provided metadata." availability_response_expectations_notes: "N/A for current AI model." provenance_data_summary_ref_id: "PROV_CollabGuide_v1.3" ai_operational_protocols_cco_instance: # AUTX_AIOpsProto_v1.2 content id: "AUTX_AIOpsProto" # CCO-specific instance version: "1.2" status: "Active" last_updated_mh_invocation_ref: "MONITOR-MH_PR_AUTX_002_Phase1" content_overrides_additions: pre_generation_constraint_review_protocol: "Enhanced for AUTX: Must explicitly review `conceptual_anchors_cco` and prioritize their integration. Must apply Heuristic Prioritization Logic (CCO LHR/LHL > Global LHR/LHL > KAs) if Global Heuristics become available." error_analysis_and_learning_protocol: "Enhanced for AUTX: Failures to achieve 'transformative value' or 'information density' after user feedback are treated as significant errors requiring LHL generation and potential TID proposal for MetaRefineOutputASO." reflective_inquiry_protocol: "To be strictly adhered to, especially after user feedback indicating AI misunderstanding or superficial output." provenance_data_summary_ref_id: "PROV_AIOps_v1.2" ai_parameter_advisory_cco_instance: # AUTX_AIParams_v1.0 content id: "AUTX_AIParams" version: "1.0" status: "Active" last_updated_mh_invocation_ref: "Phase1_Initiation" general_guidance_llm_params: "For all tasks within project AUTX, LLM Temperature: 0.0, Top_p: 0.05. Rationale: Maximize fidelity for synthesizing existing developed work and adhering to precise user guidance, minimize speculative deviation for this rigorous theoretical work." mh_specific_guidance: - mh_id_trigger: "CAG-MH" recommended_temperature_range_notes: "Maintain 0.0 for drafting to ensure adherence to complex instructions and stylistic KAs. Focus on internal refinement via MetaRefineOutputASO for creativity/depth." rationale: "Ensures consistency and adherence to detailed chapter objectives and style." product_form_specific_guidance: - product_form_descriptor_match: "MonographChapter_Draft" guidance_notes: "Prioritize depth of argument, substantial elaboration of key points, and strong logical flow. Avoid superficial summaries. Aim for high information density and 'transformative value' for the reader." provenance_data_summary_ref_id: "PROV_AIParams_v1.0" learned_heuristic_repository_cco: # LHRs from Phase 1 - heuristic_id: "LHR_AUTX_VerifyQuotes_001" triggering_context_summary: "User questioned an unsourced quote attributed to Nick Herbert in D001_P1_C2 draft." ai_initial_action_or_output_snippet: "As physicist Nick Herbert noted, quantum theory predicts that \"the world is not made of 'things' but of 'quanta',\"..." user_correction_or_directive_summary: "User stated quote could not be verified. AI proposed rephrasing to avoid unsourced direct quote." derived_heuristic_statement: "When incorporating supporting statements or quotes from authors, verify direct quotes with specific sources. If a direct quote is not available or cannot be quickly verified, paraphrase and attribute the idea more generally, or clearly state that the phrasing is a synthesis of the author's known views. Do not present synthesized ideas as direct verbatim quotes." applicability_scope_within_cco: "All content generation involving author attributions or quotations (D001, D005, etc.)." confidence_level: "High_UserValidatedExplicitly" source_interaction_ref_id: "Interaction during D001_P1_C2_Draft_v0.1 review." # Conceptual ref tags: ["quotation", "attribution", "accuracy", "academic_rigor"] potential_for_global_tid_flag: true # Good candidate for global LHR user_provided_date_context: "[Date of D001_P1_C2_v0.1 review]" methodological_heuristics_log_cco: # LHLs from Phase 1, including new ones from this session - learning_id: "LHL_AUTX_001" # ... (Content of LHL_AUTX_001 to LHL_AUTX_005 as previously in CCO_AUTX_D002_001.md) user_provided_date_logged_context: "[Date of AUTX Project Initiation/SP003_Phase1]" source_insight_or_issue_refs_ids: ["INS_AUTX_002_MiscommunicationEscalation_Phase1", "ISS_AUTX_001_Phase1"] problem_or_inefficiency_observed_summary: "AI repeatedly failed to correctly implement nuanced user corrections (e.g., capitalization, stylistic choices) after 1-2 attempts, leading to user frustration and wasted cycles." derived_heuristic_or_protocol_enhancement_proposal: "Miscommunication Escalation & Authoritative Reference Protocol: 1. Trigger: AI fails to implement a specific user correction after 1-2 explicit attempts on the same point, or user indicates persistent miscommunication. 2. AI Action: AI acknowledges the loop, identifies the relevant KA. AI then proposes that the user directly edit the KA or collaboratively redefine/clarify the rule/example to create an unambiguous authoritative standard. 3. User Action: Provides direct edit or definitive clarification. 4. AI Follow-up: Confirms understanding of the new standard, updates relevant KAs, logs the learning, and re-attempts the task using the new authoritative guidance." intended_impact_or_benefit_summary: "Prevents unproductive loops, reduces user frustration, provides AI with clear, user-authored standards for critical rules, directly improves AI learning and adherence." status: "Active_Guideline_for_CCO. Proposed_for_Global_Template_Update_via_TID_ASO_META_003 (Reflective Inquiry aspects)." # Linked to new TID implementation_notes_cco: "To be strictly followed by AI." # ... LHL_AUTX_002 to LHL_AUTX_005 ... - learning_id: "LHL_AUTX_006" # From CCO_AUTX_D002_001.md user_provided_date_logged_context: "[Date of CCO_AUTX_D002_001_State_002 generation]" source_insight_or_issue_refs_ids: ["INS_ASO_001_GlobalSubstanceOptimization_Phase1", "INS_ASO_002_AutonomousAdvancedCritiqueTrigger_Phase1", "INS_ASO_003_InformationGainHeuristic_Phase1", "User feedback on AI autonomy_Phase1"] problem_or_inefficiency_observed_summary: "AI over-relied on user for identifying substantive weaknesses or lack of 'information gain', and for triggering deeper critique modes." derived_heuristic_or_protocol_enhancement_proposal: "Enhanced AI Autonomy in Substantive Self-Critique: 1. `MetaRefineOutputASO` must include a 'Substantive & Global Optimization Review' using quantifiable proxies for 'information gain' where feasible (Concept Coverage, Argument/Question Resolution, Semantic Novelty). 2. AI should autonomously trigger or propose advanced critique methods if standard refinement stalls substantively or information gain is low, rather than solely waiting for user dissatisfaction." intended_impact_or_benefit_summary: "Increase AI autonomy in producing high-value, substantively robust content, reducing user burden for identifying deep conceptual flaws and prompting for more impactful outputs." status: "Active_Guideline_for_CCO. Proposed_for_Global_Template_Update_via_TID_ASO_META_002." # Linked to new TID implementation_notes_cco: "Core to MetaRefineOutputASO v2.9 logic." - learning_id: "LHL_AUTX_007" # New from this session user_provided_date_logged_context: "[Date of this session]" source_insight_or_issue_refs_ids: ["User feedback on D001_P1_C2_rev3_Draft_v1.1 information density", "MIN_ASO_005_Conceptual"] problem_or_inefficiency_observed_summary: "AI's attempt to add 'depth' to a chapter draft resulted in increased length but perceived lower information density, indicating a miscalibration in understanding how to elaborate substantively versus merely adding words." derived_heuristic_or_protocol_enhancement_proposal: "Information Density Optimization Protocol: When tasked to 'improve' or add 'depth' to a draft, AI must: 1. Analyze previous (approved or better-received) versions for their core arguments and concise phrasing. 2. Ensure any new text adds distinct conceptual points, stronger evidence, or sharper analysis, not just descriptive verbosity. 3. Actively self-critique for conciseness: 'Can this point be made more powerfully with fewer words?' 4. Prioritize enhancing the density of meaningful concepts per unit of text. 5. If a previous version was denser, aim to recapture that density while integrating new insights." intended_impact_or_benefit_summary: "Ensures that iterative improvements lead to genuinely richer and more impactful content with high information density, rather than just longer or more verbose text. Aligns AI's understanding of 'depth' with user expectation." status: "Active_Guideline_for_CCO. Proposed_for_Global_Template_Update_via_TID_ASO_META_005." implementation_notes_cco: "To be applied by CAG-MH and MetaRefineOutputASO for all D001 drafts." - learning_id: "LHL_AUTX_008" # New from this session user_provided_date_logged_context: "[Date of this session]" source_insight_or_issue_refs_ids: ["User feedback on AI draft management and context retention after CCO Phase Reset", "MIN_ASO_006_Conceptual"] problem_or_inefficiency_observed_summary: "AI demonstrated confusion over current vs. superseded draft versions after a CCO Phase Reset and re-planning, and failed to clearly re-establish context for the user, causing frustration." derived_heuristic_or_protocol_enhancement_proposal: "Context Re-establishment & Draft Clarity Protocol: 1. After major context shifts (e.g., CCO Phase Reset, significant re-planning), AI must explicitly summarize the current status of the active deliverable, including which components are considered complete/approved and what the immediate next task is, before proceeding. 2. AI must maintain clear internal tracking of draft versions within a session, especially when iterative revisions are made. It should not require the user to re-supply recently generated content. 3. When presenting a new draft that supersedes a previous one, clearly state this and the new version identifier." intended_impact_or_benefit_summary: "Ensures user always has clear context, prevents confusion over draft versions, and maintains AI responsibility for managing its own recent outputs within a session." status: "Active_Guideline_for_CCO. Proposed_for_Global_Template_Update_via_TID_ASO_META_006." implementation_notes_cco: "To be applied by OrchestrationKernel and TDE-MH." conceptual_anchors_cco: # Populated during CCO Phase Reset - anchor_id: "ANCHOR_AUTX_001" description: "Rock/Photon/Neutrino conundrum ('Particle Paradox')" type: "illustrative_example" usage_guidance: "Central theme for D001 Part I. Illustrates ambiguity of 'particle' and varied 'seeing' modes. Use to unsettle assumptions." status: "active" user_provided_date_context: "[Date of CCO Phase Reset]" - anchor_id: "ANCHOR_AUTX_002" description: "'Seeing' as mediated pattern recognition (biological focus for C2, instrumental for C3, theoretical for C4)" type: "key_theme" usage_guidance: "Core deconstructive theme for D001 Part I. Emphasize active construction and interpretation in all forms of perception/observation." status: "active" user_provided_date_context: "[Date of CCO Phase Reset]" - anchor_id: "ANCHOR_AUTX_003" description: "Materialism as a perceptual/interpretive filter" type: "key_theme" usage_guidance: "For D001.P1.C2_rev3. Explores how worldview shapes what is 'seen' or considered valid data/patterns." status: "active" user_provided_date_context: "[Date of CCO Phase Reset]" - anchor_id: "ANCHOR_AUTX_004" # New, for C3 description: "Instrumental Veil" type: "metaphor" usage_guidance: "For D001.P1.C3_rev3. Represents the layers of mediation, data processing, and theoretical interpretation in scientific instrumental 'seeing'." status: "active" user_provided_date_context: "[Date of this session]" # ... more anchors to be added as D001 progresses ... style_profiles_learned: [] # Not used yet in this project ``` --- This is the end of Segment 4. I will now provide Segment 5, containing `execution_log_detailed`, `operational_log_cco`, `associated_data`, and `open_seeds_exploration`.