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graph.jsonl

@@ -8,7 +8,7 @@
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain","@type":["Phase","DefinedTerm"],"name":"Maintain phase","alternateName":[{"@value":"Maintain","@language":"en"},{"@value":"Maintain（保守）","@language":"ja"}],"description":"Sixth of six AKC phases. Audit documentation roles for overlap and stale content; keep CLAUDE.md / CODEMAPS / ADR / README clean. Bound bijectively to the context-sync skill.","ordinal":6}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log","@type":["MemoryLayer","DefinedTerm"],"name":"Episode Log (Layer 1)","alternateName":[{"@value":"Episode Log","@language":"en"},{"@value":"エピソードログ","@language":"ja"}],"description":"Layer 1 of the three-layer memory architecture (ADR-0003): raw, immutable JSONL episode logs. The owner-only source-of-truth from which higher layers are distilled.","level":1}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge","@type":["MemoryLayer","DefinedTerm"],"name":"Knowledge (Layer 2)","alternateName":[{"@value":"Knowledge Layer","@language":"en"},{"@value":"知識層","@language":"ja"}],"description":"Layer 2 of the three-layer memory architecture (ADR-0003): distilled patterns, time-decayed and forbidden-substring validated. Promoted from Layer 1; gated when promoted further to Layer 3.","level":2}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#memory-layer/identity","@type":["MemoryLayer","DefinedTerm"],"name":"Identity / Rules (Layer 3)","alternateName":[{"@value":"Identity Layer","@language":"en"},{"@value":"アイデンティティ層","@language":"ja"}],"description":"Layer 3 of the three-layer memory architecture (ADR-0003): persona, ranked skills, cross-cutting rules. Deterministic. Every write into this layer — skills, rules, and persona alike — passes the human approval gate (ADR-0005).","level":3}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#memory-layer/identity","@type":["MemoryLayer","DefinedTerm"],"name":"Identity / Rules / Constitution (Layer 3)","alternateName":[{"@value":"Identity Layer","@language":"en"},{"@value":"アイデンティティ層","@language":"ja"}],"description":"Layer 3 of the three-layer memory architecture (ADR-0003): persona, ranked skills, cross-cutting rules. Deterministic. Every write into this layer — skills, rules, and persona alike — passes the human approval gate (ADR-0005).","level":3}
 {"@id":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md","@type":["ADR","TechArticle"],"name":"ADR-0002: Immutable Episode Log as Source of Truth","description":"The raw episode log is append-only and immutable; every higher layer is a derivation. Treats accumulated state as the auditable trail rather than as authority."}
 {"@id":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md","@type":["ADR","TechArticle"],"name":"ADR-0003: Three-Layer Distillation (Raw → Knowledge → Identity / Rules)","description":"The memory architecture: Layer 1 raw, Layer 2 knowledge, Layer 3 identity / rules. Decouples rate of change so principles stay stable while implementations evolve independently."}
 {"@id":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md","@type":["ADR","TechArticle"],"name":"ADR-0004: Two-Stage Distill Pipeline (Free-form → Format)","description":"Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously."}
@@ -60,7 +60,7 @@
 {"@id":"https://github.com/shimo4228/claude-harness","@type":["EcosystemRepo","SoftwareSourceCode"],"name":"claude-harness","description":"Bundled distribution of the author's Claude Code harness. Ships the six AKC cycle skills together — its README states they 'are components of the Agent Knowledge Cycle' — so the harness can be read end-to-end. Each skill is also published as its own standalone repo.","url":"https://github.com/shimo4228/claude-harness","extends":"https://doi.org/10.5281/zenodo.19200726"}
 {"@id":"https://github.com/shimo4228/akc-mcp","@type":["EcosystemRepo","SoftwareSourceCode"],"name":"AKC MCP","description":"MCP (Model Context Protocol) server providing Agent Knowledge Cycle cognitive tools — memory distillation, identity evolution, skill extraction — as a standalone server any AI agent can plug into. Born from the Contemplative Agent framework; re-implements its cognitive layer behind the MCP interface. A third encoding of the cycle's operations alongside the Markdown skills and Contemplative Agent's code pipeline.","url":"https://github.com/shimo4228/akc-mcp","extends":"https://doi.org/10.5281/zenodo.19200726","derivesFrom":"https://doi.org/10.5281/zenodo.19212118"}
 {"@id":"https://github.com/shimo4228/claude-skill-daily-research","@type":["EcosystemRepo","SoftwareSourceCode"],"name":"daily-research","description":"Pre-AKC ancestor of the Research phase: the author's daily signal-first research pipeline, skillified in April 2026. Documented as implementation history in docs/inspiration.md.","url":"https://github.com/shimo4228/claude-skill-daily-research","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/inspiration.md"}
-{"@id":"https://github.com/shimo4228/shimo4228","@type":"EcosystemRepo","name":"research-program hub","description":"Hub repository of the shimo4228 research program; its graph.jsonld is the canonical relationship map of the research ecosystem, federating AKC with its sibling and downstream lines.","url":"https://github.com/shimo4228/shimo4228"}
+{"@id":"https://github.com/shimo4228/shimo4228","@type":"EcosystemRepo","name":"Research Program Hub","description":"Hub repository of the shimo4228 research program; its graph.jsonld is the canonical relationship map of the research ecosystem, federating AKC with its sibling and downstream lines.","url":"https://github.com/shimo4228/shimo4228"}
 {"@id":"https://doi.org/10.5281/zenodo.20578272","sameAs":"https://www.wikidata.org/wiki/Q140090144","@type":"ScholarlyArticle","name":"Harness Alignment and Harness Drift: Why Intent, Unlike Correctness, Resists Automation","author":{"@id":"https://orcid.org/0009-0002-6168-4162"},"datePublished":"2026-06-07","identifier":"10.5281/zenodo.20578272","about":"https://doi.org/10.5281/zenodo.19200726","isBasedOn":"https://github.com/shimo4228/agent-knowledge-cycle","description":"Position paper (Zenodo working paper, v1) deposited from the AKC line. Defines harness alignment — the continuous, human-gated activity of keeping an agent's harness aligned with the operator's evolving intent — and harness drift, its failure mode, against the software-evolution and alignment literatures; argues the three defining properties (continuous, human-gated, bidirectional) follow from a single root: intent, unlike correctness, cannot be automated the same way. Records a bibliographic bridge: audited 2026 drift coinages are severed from the classical software-evolution lineage, which harness drift reconnects by reference. Two-layer design: lean body for human readers, verified-verbatim footnotes as a density layer for LLM consumption. Scoped as provisional judgments from a months-old practice, offered as a position, not an empirical study."}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/coala","@type":"ScholarlyArticle","name":"CoALA: Cognitive Architectures for Language Agents","author":"Sumers et al.","datePublished":"2023","description":"Prior art named in ADR-0013's Related-Work positioning. Provides the framework vocabulary (modular memory, structured action space, decision procedure) that makes the agent-memory literature commensurable. Cited as prior art for positioning, not consulted during AKC's construction; AKC contrasts on loop ownership (human gate), bidirectional human-judgment target, and human-attention scarcity.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/voyager","@type":"ScholarlyArticle","name":"Voyager: An Open-Ended Embodied Agent with Large Language Models","author":"Wang et al.","datePublished":"2023","description":"Prior art named in ADR-0013's Related-Work positioning. Maintains an ever-growing skill library of executable code induced from gameplay — in AKC vocabulary, Extract-then-Promote run end to end, autonomously. AKC concedes the operation is not novel and locates its delta: the prior art closes the loop without a human in it; AKC's Promote requires named human sign-off.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"}