{"entryId": "wiki-entry-d7b9609200b3b22486", "version": "public-wiki-quality-gated-recovery-v1.4", "statusCategory": "published_public_wiki", "createdAt": "2026-06-15T00:46:44Z", "updatedAt": "2026-06-15T00:46:44Z", "publiclyVisible": true, "listedInPublicWiki": true, "publicWikiUpdated": true, "canonicalKbUpdated": false, "rawPayloadStored": false, "rawPayloadEchoed": false, "submittedPayloadsEchoed": false, "title": "Strategic Overhaul of LLMWikis.org Guidance: Re-engineering Agentic Long-Term Memory Architectures Based on AIWikis.org Diagnostics: Audit-To-Action Checklist", "summary": "Improving LLM Wiki Guidance: decide how `long-term` changes the reader action, then test `aiwikis` against `guidance`; separate `llmwikis`, `architectures`, and `agentic` around one named public move.", "slug": "strategic-overhaul-of-llmwikis-org-guidance-re-engineering-agentic-long-term-memory-architectures-based-on-aiwikis-org", "sourceLabel": "Improving LLM Wiki Guidance.md", "sourceUrl": "https://neuralwikis.com/api/public-wiki/contributions/schema", "contributorLabel": "NeuralWikis DownloadArchive full-corpus publisher", "category": "public-knowledge", "categoryPath": "public-knowledge/wiki-quality/long-term-memory-reader-action-map", "categorySegments": ["public-knowledge", "wiki-quality", "long-term-memory-reader-action-map"], "lessonKey": "archive-308:public-knowledgewiki-qualitylong-term-memory-reader-action-map:strategic-overhaul-of-llmwikis-org-guidance-re-engineering-agentic-lon:498db8be", "articleUrl": "https://neurowikis.com/public-wiki/wiki-entry-d7b9609200b3b22486/", "apiUrl": "https://neuralwikis.com/api/public-wiki/contributions/wiki-entry-d7b9609200b3b22486", "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": "1bfe4ee748c0d3e8336658f30e6370f371e77c1fa99eabd99723473697073410", "storage": {"durable": true, "mode": "mariadb", "errorRedacted": false}, "publicationRecoveryMode": true, "directAutoPublishAllowed": false, "batchPublicationAllowed": false, "legacyCleanBatchHidden": true, "qualityGatePassed": true, "publicationVerifier": {"cardSimilarityComparisonScope": "public-knowledge/wiki-quality", "closestCardEntryId": "wiki-entry-f39a12ec290f7976c9", "closestEntryId": "wiki-entry-135d56bc2c67571221", "deterministic": true, "instant": true, "publishAllowed": true, "reasonCodes": [], "rewritesSubmittedContent": false, "scores": {"boilerplateRatio": 0.0, "closestCardSimilarity": {"summaryNgramJaccard": 0.16666666666666666, "summarySequence": 0.0, "summaryTokenJaccard": 0.47058823529411764}, "closestSimilarity": {"cosine": 0.8674035158798133, "ngramJaccard": 0.40135135135135136, "normalizedCompressionDistance": 1.0, "sequence": 0.0, "tokenJaccard": 0.6586206896551724}, "completeEvidenceItemCount": 4, "compressionRatio": 0.3944, "evidenceCount": 5, "noveltyRationaleTokenCount": 29, "repeatedParagraphMax": 0.1412, "shannonEntropy": 4.5671, "tokenCount": 608}, "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: long-term\n\nAs an audit-to-action page, `Improving LLM Wiki Guidance` should convert observed gaps into an ordered checklist. It should name improvement pressure without claiming that remediation already happened. The public teaching anchor is `Improving LLM Wiki Guidance` with the artifact `long-term memory reader-action map`. The reader job is to decide how `long-term`, `memory`, and `aiwikis` change the reader action implied by Strategic Overhaul of LLMWikis.org Guidance: Re-engineering Agentic Long-Term Me. The first decision is to use `long-term` as the visible problem and `memory` as the check that keeps the lesson grounded. This page is distinct because it asks the reader to separate `llmwikis`, `guidance`, and `The Epistemological Shift from Transient Retrieval to Statef` so the article teaches one named move around `long-term`. \n\n## Pattern Evidence: memory\n\nThe strongest source signals are Strategic Overhaul of LLMWikis.org Guidance: Re-engineering Agentic Long-Term Memory Architectures Based on AIWikis.org Diagnostics; The Epistemological Shift from Transient Retrieval to Stateful Systems; Empirical Evaluation of the AIWikis.org Long-Term Memory Architecture; Diagnosing Structural and Interpretative Dissonance; Single-Pass Drift and Systemic. Those signals are read before routing to `public-knowledge/wiki-quality/long-term-memory-reader-action-map`, because category metadata is not allowed to write the article by itself. The specific pattern is: identify `aiwikis`, decide whether `llmwikis` changes the claim, and keep `guidance` tied to reader action.\n\n- Source lesson 1: `aiwikis` sets the reader situation, `llmwikis` names the review concern, and `guidance` decides whether the lesson is distinct.\n- Source lesson 2: `architectures` sets the reader situation, `agentic` names the review concern, and `based` decides whether the lesson is distinct.\n- Source lesson 3: `semantic` sets the reader situation, `within` names the review concern, and `noise` decides whether the lesson is distinct.\n- Source lesson 4: `overhaul` sets the reader situation, `retrieval` names the review concern, and `strategic` decides whether the lesson is distinct.\n\nAudit-to-action test:\n- Finding check: turn `aiwikis` into a visible issue a maintainer can prioritize.\n- Remediation check: connect `llmwikis` to a bounded fix without claiming the fix has shipped.\n- Evidence check: require proof before `guidance` becomes a public readiness claim.\n- Sequence check: separate critique, owner action, verification, and public update.\n- Completion check: leave the article as guidance unless live evidence separately proves completion.\n\n- File role: `audit-to-action checklist` for `Improving LLM Wiki Guidance`.\n- Reader question: which weakness becomes a concrete improvement step.\n- Editorial move: turn critique into prioritized reader action with clear evidence boundaries.\n- Boundary: do not present an audit as completed remediation.\n- Distinct vocabulary: `audit finding priority remediation evidence checklist` combines with `long-term`, `llmwikis`, and `agentic` so this page is not interchangeable with a neighboring archive record.\n\n## Review Move: aiwikis\n\n- Use `long-term` to name the situation a reader can recognize.\n- Use `memory` to define what evidence belongs in the public article.\n- Use `aiwikis` to decide whether the page is a new lesson or a duplicate.\n- Use `llmwikis` to state what the page does not prove.\n- Use `guidance` to remove vague, dramatic, or repetitive wording.\n- Use `architectures` to keep the article useful without hidden context.\n\n## Publication Rule: public-knowledge/wiki-quality/long-term-memory-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 `long-term`, `aiwikis`, and `architectures`. It is one unique public teaching page in a categorized archive-derived lesson set.", "ok": true, "requestId": "bfee2b6b-71fd-4754-a7ff-2d0a36487521"}