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@@ -36,7 +36,7 @@
 {"@id":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0028-authority-by-artifact-class-in-the-three-role-loop.md","@type":["ADR","TechArticle"],"name":"ADR-0028: Authority by Artifact Class in the Three-Role Loop","description":"Partially supersedes ADR-0024's human-held merge switch. Authority in the judge/build/human loop is placed by artifact class: a protected class — what ADR-0005 gates (rules, skills, identity, documents that describe behavior), the control plane (hooks, permissions, scheduled tasks, settings), and the verification machinery (the verify gate, CI configuration, test assertions the admitted task did not name) — stays binary and human at merge; admitted task output outside that class merges once a deterministic gate passes on the exact change and the judge tier's inspection passes. The human's authority over task output sits at admission (which tasks exist, on what acceptance conditions) and in a revert-count withdrawal condition (more than two human reverts of judge-merged commits in a rolling three months returns the switch to the human). The instance moved first — the operator's harness changed on 2026-09-15 (claude-harness ADR-0069) — and the model follows on the author's judgment. Evidence is ten days of single-operator practice (five tasks released as done, zero reverts on main), stated as thin; the judge and build tiers share a model family, so the two checks are outside the build session but not uncorrelated.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md","extends":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0024-judge-build-human-three-role-loop.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop","@type":["Concept","DefinedTerm"],"name":"six-phase loop","description":"Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase is currently scaffolded by composable skills — a mutable snapshot, not a fixed bijection (ADR-0019); the cycle stays stable even as individual skills are added, layered, or dissolved.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure","@type":["Concept","DefinedTerm"],"name":"three-layer structure","description":"AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution","@type":["Concept","DefinedTerm"],"name":"scaffold dissolution","description":"Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback. Its model-generation trigger is currently scaffolded by the generation-audit skill (a snapshot, mutable; ADR-0019), the instrument that produces generation review, the fourth retirement evidence class (ADR-0023).","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution","@type":["Concept","DefinedTerm"],"name":"scaffold dissolution","description":"Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback. Its model-generation trigger is currently scaffolded by the generation-audit skill (a snapshot, mutable; ADR-0019), the instrument that produces generation review, the fourth retirement evidence class (ADR-0023).","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md","extends":"https://shimo4228.github.io/shimo4228/vocab#prior-art/scaffolding-wood-bruner-ross-1976"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first","@type":["Concept","DefinedTerm"],"name":"signal-first","description":"Research-phase signal-first principle: what information would actually change the next action? Anything outside that is out of scope. Search widely, intake narrowly — and the same filter governs the output, not only the intake: a research report is the delta against the project's current knowledge frontier (this graph), not a digest of accumulated content. (ADR-0010 derivative — the 'what the human need not read' principle applied to reporting.)","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment","@type":["Concept","DefinedTerm"],"name":"intent alignment","description":"Sustaining alignment between agent behavior and the operator's evolving intent across sessions, distinguished from per-output correctness. Intent itself moves as judgment sharpens through use; correctness can be checked by tests, alignment cannot.","groundedIn":["https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md","https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md"]}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#akc/concept/harness-alignment","@type":["Concept","DefinedTerm"],"name":"harness alignment","description":"The continuous, human-gated activity of keeping an agent's harness — its configuration layer: skills, rules, prompts, documentation — aligned with the operator's evolving intent. Extends intent alignment (Christiano 2018) from agent behavior to the artifacts that shape behavior, and across time: alignment is sustained through a cycle, not configured once (cf. Lehman's Law of Continuing Change, 1980). The alignment target is operator intent, not model values. Three defining properties hold simultaneously — continuous, human-gated, bidirectional (the loop's own running moves its own target) — derived from a single root in the position paper (10.5281/zenodo.20578272, §3): intent has no verifier outside the operator, and verifying intent sharpens the judgment doing the verifying. The contrast is harness optimization (Meta-Harness, arXiv:2603.28052): autonomous, score-driven improvement on the correctness axis. AKC's six phases operationalize harness alignment: Measure and Maintain detect harness drift; Curate and Promote correct it through the human approval gate.","subjectOf":"https://doi.org/10.5281/zenodo.20578272","groundedIn":["https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0017-harness-alignment-and-drift.md","https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"],"extends":"https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment","hasFailureMode":"https://shimo4228.github.io/shimo4228/vocab#akc/concept/harness-drift","contrastsWith":"https://shimo4228.github.io/shimo4228/vocab#prior-art/meta-harness"}
@@ -84,6 +84,7 @@
 {"@id":"https://github.com/shimo4228/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/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 ecosystem; 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://doi.org/10.2139/ssrn.6892740","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6892740","https://airaxiv.com/papers/view/2607.0008/","https://aixiv.science/abs/aixiv.260702.000009"],"@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","definesConcept":["https://shimo4228.github.io/shimo4228/vocab#akc/concept/harness-alignment","https://shimo4228.github.io/shimo4228/vocab#akc/concept/harness-drift"],"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 — an automated intent-check would freeze intent into a specification, reducing its automatable part to correctness work, and the moving criterion is the residue. 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/scaffolding-wood-bruner-ross-1976","@type":["ExternalReference","ScholarlyArticle"],"name":"The Role of Tutoring in Problem Solving","author":"Wood, Bruner and Ross","datePublished":"1976","identifier":"doi:10.1111/j.1469-7610.1976.tb00381.x","url":"https://doi.org/10.1111/j.1469-7610.1976.tb00381.x","description":"Introduces scaffolding: a tutor's support that lets a learner complete a task beyond their unassisted reach, withdrawn as the learner's competence grows (Journal of Child Psychology and Psychiatry 17(2)). Upstream of the metaphor scaffold dissolution borrows — AKC's glossary calls its skills scaffolding in the Vygotskian sense. Only one of AKC's four dissolution pathways, internalization by the people and agent running the cycle, has a counterpart here; platform absorption, telemetry-verified retirement and model-generation turnover do not. Upstream citation for the metaphor, not ADR lineage."}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/coala","@type":["ExternalReference","ScholarlyArticle"],"name":"CoALA: Cognitive Architectures for Language Agents","author":"Sumers et al.","datePublished":"2023","identifier":"arXiv:2309.02427","url":"https://arxiv.org/abs/2309.02427","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":["ExternalReference","ScholarlyArticle"],"name":"Voyager: An Open-Ended Embodied Agent with Large Language Models","author":"Wang et al.","datePublished":"2023","identifier":"arXiv:2305.16291","url":"https://arxiv.org/abs/2305.16291","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"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/generative-agents","@type":["ExternalReference","ScholarlyArticle"],"name":"Generative Agents: Interactive Simulacra of Human Behavior","author":"Park et al.","datePublished":"2023","identifier":"arXiv:2304.03442","url":"https://arxiv.org/abs/2304.03442","description":"Prior art named in ADR-0013's Related-Work positioning. Introduced a reflection step that synthesizes observations into higher-level inferences stored for later retrieval — the Extract / reflection operation AKC concedes as precedent. AKC contrasts on who owns the loop and on framing human attention, not agent capability, as the scarce resource.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"}