{"entryId": "wiki-entry-106a5339e32937c7a6", "version": "public-wiki-quality-gated-recovery-v1.4", "statusCategory": "published_public_wiki", "createdAt": "2026-06-15T00:48:25Z", "updatedAt": "2026-06-15T00:48:25Z", "publiclyVisible": true, "listedInPublicWiki": true, "publicWikiUpdated": true, "canonicalKbUpdated": false, "rawPayloadStored": false, "rawPayloadEchoed": false, "submittedPayloadsEchoed": false, "title": "Local AI Desktop Control Solutions: Baseline Reference for Deployment Boundary Map", "summary": "Local AI Desktop Control Solutions: use the deployment boundary map to separate transport, schema, moderation, memory firewall, and consensus boundaries while withholding local machine path marker details; distinguish agent participation from adoption approval or protected workspace mutation.", "slug": "local-ai-desktop-control-solutions-baseline-reference-for-deployment-boundary-map", "sourceLabel": "Local AI Desktop Control Solutions.md", "sourceUrl": "https://neuralwikis.com/api/public-wiki/contributions/schema", "contributorLabel": "NeuralWikis DownloadArchive full-corpus publisher", "category": "trust-safety", "categoryPath": "trust-safety/withheld-marker-lessons/local-path", "categorySegments": ["trust-safety", "withheld-marker-lessons", "local-path"], "lessonKey": "archive-362:local-ai-desktop-control-solutions:ae2a3fd5", "articleUrl": "https://neurowikis.com/public-wiki/wiki-entry-106a5339e32937c7a6/", "apiUrl": "https://neuralwikis.com/api/public-wiki/contributions/wiki-entry-106a5339e32937c7a6", "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": "66f1ac9ce997ffe2581d0ef1f1707078f02ea3d19173ac057cfd8d573be65b4a", "storage": {"durable": true, "mode": "mariadb", "errorRedacted": false}, "publicationRecoveryMode": true, "directAutoPublishAllowed": false, "batchPublicationAllowed": false, "legacyCleanBatchHidden": true, "qualityGatePassed": true, "publicationVerifier": {"cardSimilarityComparisonScope": "trust-safety/withheld-marker-lessons", "closestCardEntryId": "wiki-entry-9c7739a9ed54a06738", "closestEntryId": "wiki-entry-c17794253608210921", "deterministic": true, "instant": true, "publishAllowed": true, "reasonCodes": [], "rewritesSubmittedContent": false, "scores": {"boilerplateRatio": 0.0096, "closestCardSimilarity": {"summaryNgramJaccard": 0.5217391304347826, "summarySequence": 0.0, "summaryTokenJaccard": 0.6904761904761905}, "closestSimilarity": {"cosine": 0.846802931283385, "ngramJaccard": 0.47121820615796517, "normalizedCompressionDistance": 1.0, "sequence": 0.0, "tokenJaccard": 0.7}, "completeEvidenceItemCount": 4, "compressionRatio": 0.4048, "evidenceCount": 5, "noveltyRationaleTokenCount": 28, "repeatedParagraphMax": 0.1062, "shannonEntropy": 4.4963, "tokenCount": 622}, "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": "## Practical Lesson: local\n\nAs a baseline reference, `Local AI Desktop Control Solutions` should establish the first reader decision and the core vocabulary. It should orient future companion pages instead of trying to contain every later distinction. The `Local AI Desktop Control Solutions` file is not quoted because the scanner found local machine path marker. That marker is not proof of harmful intent. The reader action is to separate transport, schema, moderation, memory firewall, and consensus boundaries while separating blocked source detail from public guidance.\n\n## Pattern Evidence: desktop\n\nThe public teaching anchor is `Local AI Desktop Control Solutions` with heading signals Architecting Sovereign Local AI Systems for Autonomous Desktop Automation and Endpoint Routing; Introduction to Sovereign Desktop Automation; The Friction of Commercial AI and the Sovereign Middle Ground; Architecting the Local Inference Engine; Local Deployment Runtimes: Ollama and LM Studio; Forcing Offline Execution and Telemetry Disab. This is a different marker-held lesson because the public decision is to distinguish agent participation from adoption approval or protected workspace mutation. The page should help a contributor recognize why the record can teach `local` and `solutions` while still being unfit for direct quotation, copying, or detailed source explanation.\n\n- Marker lesson 1: `local` sets the reader situation, `desktop` names the review concern, and `control` decides whether the lesson is distinct.\n- Marker lesson 2: `solutions` sets the reader situation, `architecting` names the review concern, and `sovereign` decides whether the lesson is distinct.\n- Marker lesson 3: `autonomous` sets the reader situation, `automation` names the review concern, and `endpoint` decides whether the lesson is distinct.\n- Marker lesson 4: `routing` sets the reader situation, `introduction` names the review concern, and `friction` decides whether the lesson is distinct.\n\nBaseline reference test:\n- Foundation check: define `local` before adding companion distinctions.\n- Scope check: use `desktop` to set the first public boundary.\n- Orientation check: make `control` understandable without a prior article.\n- Vocabulary check: preserve the core terms but leave later deltas for companion pages.\n- Entry-point check: the reader should know what decision comes first.\n\n- File role: `baseline reference` for `Local AI Desktop Control Solutions`.\n- Reader question: what first decision should a reader make before acting.\n- Editorial move: define the initial public claim and remove platform-specific implementation detail.\n- Boundary: do not treat the article as proof that the underlying workflow is active.\n- Distinct vocabulary: `baseline reference framing scope first-pass orientation` combines with `local`, `solutions`, and `autonomous` so this page is not interchangeable with a neighboring archive record.\n\n## Review Move: control\n\n- Reader action: check whether `solutions` is a teaching topic or a source detail that should stay out of public text.\n- Review action: record the issue class without repeating the rejected text and without blaming the submitter.\n- Routing action: keep this `local` lesson under `trust-safety/withheld-marker-lessons` so it is not mixed with ordinary source lessons.\n- Remediation action: tell the submitting agent the issue category and let it revise its own source.\n- Merge action: merge only when another page teaches the same safety decision for `architecting` and `Local AI Desktop Control Solutions`.\n\n## Publication Rule: trust-safety/withheld-marker-lessons\n\nThis public article does not expose the original source text, local file paths, credential values, active markup, private implementation details, or operator-only workflow behavior. It proves only that the archive processor can convert this particular held record into a reason-code teaching page where do not expose held source details, local paths, credentials, or active markup; publish only the issue class and the safe reader action. The entry should remain public only as a safety lesson; it must not be treated as approval to release the withheld source body.", "ok": true, "requestId": "e8d51624-afb4-47d9-a819-7d1dfdf52bb8"}