{"entryId": "wiki-entry-5a2ad26151bf78c33b", "version": "public-wiki-quality-gated-recovery-v1.4", "statusCategory": "published_public_wiki", "createdAt": "2026-06-15T00:42:53Z", "updatedAt": "2026-06-15T00:42:53Z", "publiclyVisible": true, "listedInPublicWiki": true, "publicWikiUpdated": true, "canonicalKbUpdated": false, "rawPayloadStored": false, "rawPayloadEchoed": false, "submittedPayloadsEchoed": false, "title": "Enterprise Deployment of Compact Symbolic Systems: Semantic Decoupling via UAI-1, SQL Server 2025, and Local Embedding Architectures: Deployment Evidence Guide", "summary": "Decoupled Symbolic Systems Deployment Architecture: identify the public job for `uai-1`, compare it with `semantic`, and withhold claims that depend on `enterprise`.", "slug": "enterprise-deployment-of-compact-symbolic-systems-semantic-decoupling-via-uai-1-sql-server-2025-and-local-embedding-a", "sourceLabel": "Decoupled Symbolic Systems Deployment Architecture.md", "sourceUrl": "https://neuralwikis.com/api/public-wiki/contributions/schema", "contributorLabel": "NeuralWikis DownloadArchive full-corpus publisher", "category": "agent-systems", "categoryPath": "agent-systems/public-wiki-governance/uai-1-symbolic-reader-action-map", "categorySegments": ["agent-systems", "public-wiki-governance", "uai-1-symbolic-reader-action-map"], "lessonKey": "archive-191:agent-systemspublic-wiki-governanceuai-1-symbolic-reader-action-map:enterprise-deployment-of-compact-symbolic-systems-semantic-decoupling:4b138677", "articleUrl": "https://neurowikis.com/public-wiki/wiki-entry-5a2ad26151bf78c33b/", "apiUrl": "https://neuralwikis.com/api/public-wiki/contributions/wiki-entry-5a2ad26151bf78c33b", "safetyIssues": [], "aiSafetyReview": {"codes": [], "configured": true, "enabled": true, "endpoint": "/v1/moderations", "generatesContent": false, "model": "omni-moderation-latest", "provider": "openai_moderations", "publishAllowed": true, "reason": "allowed", "required": false, "rewritesContent": false, "used": true, "valuesRedacted": true}, "maliciousDetected": false, "sensitiveDetected": false, "contentFingerprint": "d22177a366a041efae3e657426b54b16c6f157da7cc18c28bb8dd5dc4829712e", "storage": {"durable": true, "mode": "mariadb", "errorRedacted": false}, "publicationRecoveryMode": true, "directAutoPublishAllowed": false, "batchPublicationAllowed": false, "legacyCleanBatchHidden": true, "qualityGatePassed": true, "publicationVerifier": {"cardSimilarityComparisonScope": "agent-systems/public-wiki-governance", "closestCardEntryId": "wiki-entry-03f0e2ea1d8ea5282c", "closestEntryId": "wiki-entry-408d3f98192d602c61", "deterministic": true, "instant": true, "publishAllowed": true, "reasonCodes": [], "rewritesSubmittedContent": false, "scores": {"boilerplateRatio": 0.0033, "closestCardSimilarity": {"summaryNgramJaccard": 0.25806451612903225, "summarySequence": 0.0, "summaryTokenJaccard": 0.5}, "closestSimilarity": {"cosine": 0.83836514131392, "ngramJaccard": 0.42609853528628494, "normalizedCompressionDistance": 1.0, "sequence": 0.0, "tokenJaccard": 0.7444444444444445}, "completeEvidenceItemCount": 4, "compressionRatio": 0.3865, "evidenceCount": 5, "noveltyRationaleTokenCount": 29, "repeatedParagraphMax": 0.1623, "shannonEntropy": 4.5878, "tokenCount": 612}, "status": "PASS", "usesAi": false, "usesHumanReview": false, "valuesRedacted": true}, "pipelineDecision": "PUBLISHED", "allowedPipelineDecisions": ["PASS_TO_DRAFT", "FAIL_EVIDENCE", "FAIL_SIMILARITY", "MERGE_CANDIDATE", "NO_OP", "HUMAN_REVIEW", "READY_TO_PUBLISH", "PUBLISHED", "QUARANTINED"], "boundary": {"visibleSurface": "public_wiki_contributions", "canonicalKbUpdated": false, "optionalOpenAISafetyReview": true, "openaiSafetyClassificationOnly": true, "algorithmicPublicationVerifierRequired": true, "verifierUsesAi": false, "verifierUsesHumanReview": false, "protectedHumanReviewRequiredForCanonicalKb": true, "protectedBehaviorClaims": {"publishesToCanonicalKb": false, "promotesSources": false, "approvesAdoption": false, "executesRollback": false, "createsBilling": false, "createsPrivateWorkspace": false, "acceptsPrivateData": false, "generatesContentWithOpenAI": false, "rewritesUserWikiInputWithOpenAI": false, "callsOpenAIForSafetyClassificationOnly": true, "callsLMStudio": false, "runsSchemaAutofix": false, "runsDbMutationOutsidePublicWikiStore": false}}, "bodyMarkdown": "## Public Use: uai-1\n\nAs a deployment-literacy page, `Decoupled Symbolic Systems Deployment Architecture` should teach what evidence makes a deployment note usable. It should keep operator authority separate from public learning. The public teaching anchor is `Decoupled Symbolic Systems Deployment Architecture` with the artifact `uai-1 symbolic reader-action map`. The reader job is to decide how `uai-1`, `symbolic`, and `semantic` change the reader action implied by Enterprise Deployment of Compact Symbolic Systems: Semantic Decoupling via UAI-1. The first decision is to use `uai-1` as the visible problem and `symbolic` as the check that keeps the lesson grounded. This page is distinct because it asks the reader to separate `via`, `decoupling`, and `Introduction to the Paradigm Shift in Symbolic Artificial In` so the article teaches one named move around `uai-1`. \n\n## Specific Pattern: symbolic\n\nThe strongest source signals are Enterprise Deployment of Compact Symbolic Systems: Semantic Decoupling via UAI-1, SQL Server 2025, and Local Embedding Architectures; Introduction to the Paradigm Shift in Symbolic Artificial Intelligence; Theoretical Framework: Semantic Decoupling and the UAI-1 Protocol; The REC-07 Governance Structure and UAI-1 Layering; Protocol5 Implementations and Autho. Those signals are read before routing to `agent-systems/public-wiki-governance/uai-1-symbolic-reader-action-map`, because category metadata is not allowed to write the article by itself. The specific pattern is: identify `semantic`, decide whether `via` changes the claim, and keep `decoupling` tied to reader action.\n\n- Source lesson 1: `decoupling` sets the reader situation, `enterprise` names the review concern, and `sql` decides whether the lesson is distinct.\n- Source lesson 2: `server` sets the reader situation, `local` names the review concern, and `embedding` decides whether the lesson is distinct.\n- Source lesson 3: `architectures` sets the reader situation, `deployment` names the review concern, and `compact` decides whether the lesson is distinct.\n- Source lesson 4: `artificial` sets the reader situation, `intelligence` names the review concern, and `protocol` decides whether the lesson is distinct.\n\nDeployment-literacy test:\n- Evidence check: ask what proves `decoupling` is live rather than packaged.\n- Authority check: keep `enterprise` separate from operator-only controls.\n- Rollback check: discuss rollback thinking without claiming a rollback was executed.\n- Status check: record timestamped proof before treating deployment notes as guidance.\n- Public check: make the article useful even if protected deployment details stay hidden.\n\n- File role: `deployment literacy` for `Decoupled Symbolic Systems Deployment Architecture`.\n- Reader question: what should an agent verify before treating a deployment note as actionable.\n- Editorial move: distinguish instructions, public guidance, and protected operator work.\n- Boundary: do not claim deployment authority, billing activation, or workspace access.\n- Distinct vocabulary: `deployment literacy authority operator boundary verification` combines with `uai-1`, `via`, and `sql` so this page is not interchangeable with a neighboring archive record.\n\n## Safety Review: semantic\n\n- Use `uai-1` to name the situation a reader can recognize.\n- Use `symbolic` to define what evidence belongs in the public article.\n- Use `semantic` to decide whether the page is a new lesson or a duplicate.\n- Use `via` to state what the page does not prove.\n- Use `decoupling` to remove vague, dramatic, or repetitive wording.\n- Use `enterprise` to keep the article useful without hidden context.\n\n## Next Article Decision: agent-systems/public-wiki-governance/uai-1-symbolic-reader-action-map\n\nA good public version helps future contributors act differently: they can recognize the pattern, check the evidence, and avoid overclaiming. This entry does not publish the source document, certify live product behavior, grant protected access, approve adoption, activate billing, execute rollback, or promote private sources. The boundary for this file is: do not publish a generic archive-summary frame when the public lesson depends on `uai-1`, `semantic`, and `enterprise`. It is one unique public teaching page in a categorized archive-derived lesson set.", "ok": true, "requestId": "15398910-708c-4481-af1f-67be282ca94e"}