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@@ -74,12 +74,12 @@
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/practical-drift-snook","@type":["ExternalReference","Book"],"name":"Friendly Fire: The Accidental Shootdown of U.S. Black Hawks over Northern Iraq","author":"Snook, S. A.","datePublished":"2000","description":"Vocabulary lineage named in ADR-0017. Names practical drift: practice slowly uncoupling from written procedure (cited as characterized in secondary literature; book text not directly verified). Names the failure process at the rules-vs-practice boundary; harness alignment names the counter-activity.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0017-harness-alignment-and-drift.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/meta-harness","sameAs":"https://www.wikidata.org/wiki/Q140181272","@type":["ExternalReference","ScholarlyArticle"],"name":"Meta-Harness: End-to-End Optimization of Model Harnesses","author":"Lee, Y. et al.","datePublished":"2026","description":"Contrast named in ADR-0017, and the framing ADR-0009 rejected for AKC itself. Defines the harness as \"the code that determines what information to store, retrieve, and present to the model\" and improves it autonomously against benchmark scores — harness optimization, the correctness axis. Harness alignment is the human-gated counterpart on the intent axis; the two are complementary, not competing.","url":"https://arxiv.org/abs/2603.28052","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"]}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/agent-drift","sameAs":"https://www.wikidata.org/wiki/Q140181260","@type":["ExternalReference","ScholarlyArticle"],"name":"Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions","author":"Rath, A.","datePublished":"2026","description":"Vocabulary lineage named in ADR-0017. Defines agent drift as \"the progressive degradation of agent behavior, decision quality, and inter-agent coherence over extended interaction sequences\" and semantic drift as \"progressive deviation from original intent\". Its reference list contains no classical software-engineering literature (no Lehman, Perry & Wolf, Parnas, or Snook) — the vocabulary gap harness drift bridges by explicit lineage to both bodies.","url":"https://arxiv.org/abs/2601.04170","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0017-harness-alignment-and-drift.md"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/automation-complacency-parasuraman-manzey","@type":["ExternalReference","ScholarlyArticle"],"name":"Complacency and Bias in Human Use of Automation: An Attentional Integration","author":"Parasuraman, R. & Manzey, D. H.","datePublished":"2010","identifier":"doi:10.1177/0018720810376055","url":"https://doi.org/10.1177/0018720810376055","description":"Empirical anchor for the failure twin's gate-complacency mode, located by the position paper (§6). Defines automation complacency operationally as poorer detection of system malfunctions under automation control compared with manual control, finds it reliability-dependent (33% failure detection under constant-reliability automation versus 82% under variable-reliability), and characterizes it as an active reallocation of attention under high workload, not passive laziness. The position paper holds the mapping as structural inference, not measurement on the cycle (ADR-0014 keeps the empirical layer out of the decision record by its own layer rule).","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/ironies-of-automation-bainbridge","@type":"ScholarlyArticle","name":"Ironies of Automation","author":"Bainbridge, L.","datePublished":"1983","identifier":"doi:10.1016/0005-1098(83)90046-8","url":"https://doi.org/10.1016/0005-1098(83)90046-8","description":"Empirical anchor for the failure twin's deskilling mode, located by the position paper (§6): physical and cognitive skills deteriorate when not used, so a formerly experienced operator who has been monitoring an automated process may now be an inexperienced one — while the monitoring arrangement asks the operator to supervise a system installed precisely because it outperforms them. Held as structural inference, not measurement on the cycle.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/benchmark-audit-moghadasi-ghaderi","@type":["ExternalReference","ScholarlyArticle"],"name":"What Twelve LLM Agent Benchmark Papers Disclose About Themselves: A Pilot Audit and an Open Scoring Schema","author":"Moghadasi, M. N. & Ghaderi, F.","datePublished":"2026","identifier":"arXiv:2605.21404","url":"https://arxiv.org/abs/2605.21404","description":"Term disambiguation recorded by the position paper's pre-deposit sweep: the only other use of \"harness drift\" found, meaning a benchmark-comparability defect — results produced on the same benchmark under different scaffolds circulating under the same name — not a configuration layer's uncoupling from operator intent (the AKC sense). Readers retrieving \"harness drift\" should disambiguate by this contrast.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/constraint-drift","@type":["ExternalReference","ScholarlyArticle"],"name":"Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems","author":"Li, T. et al.","datePublished":"2026","identifier":"arXiv:2605.10481","url":"https://arxiv.org/abs/2605.10481","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): constraint drift — the loss, distortion, weakening, or relaxation of constraints as they pass through memory, delegation, communication, tool use, audit, and optimization. Its reference list contains no classical software-evolution literature (no Lehman, Perry & Wolf, Parnas, or Snook) — part of the disconnection harness drift bridges by reference.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/memory-drift","@type":["ExternalReference","ScholarlyArticle"],"name":"Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework","author":"Lam, C. et al.","datePublished":"2026","identifier":"arXiv:2603.11768","url":"https://arxiv.org/abs/2603.11768","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): memory drift, with semantic, procedural, and goal sub-forms. Its reference list contains no classical software-evolution literature, while citing the agent-drift coining paper itself — evidence the drift vocabulary propagates within the 2026 agent literature while remaining severed from the classical lineage.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
-{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/belief-deviation","@type":["ExternalReference","ScholarlyArticle"],"name":"Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents","author":"Liu, Z. et al.","datePublished":"2026","identifier":"arXiv:2605.30159","url":"https://arxiv.org/abs/2605.30159","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): belief deviation over long horizons. Its reference list contains no classical software-evolution literature — part of the disconnection harness drift bridges by reference.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/automation-complacency-parasuraman-manzey","sameAs":"https://www.wikidata.org/wiki/Q37809526","@type":["ExternalReference","ScholarlyArticle"],"name":"Complacency and Bias in Human Use of Automation: An Attentional Integration","author":"Parasuraman, R. & Manzey, D. H.","datePublished":"2010","identifier":"doi:10.1177/0018720810376055","url":"https://doi.org/10.1177/0018720810376055","description":"Empirical anchor for the failure twin's gate-complacency mode, located by the position paper (§6). Defines automation complacency operationally as poorer detection of system malfunctions under automation control compared with manual control, finds it reliability-dependent (33% failure detection under constant-reliability automation versus 82% under variable-reliability), and characterizes it as an active reallocation of attention under high workload, not passive laziness. The position paper holds the mapping as structural inference, not measurement on the cycle (ADR-0014 keeps the empirical layer out of the decision record by its own layer rule).","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/ironies-of-automation-bainbridge","sameAs":"https://www.wikidata.org/wiki/Q62065802","@type":"ScholarlyArticle","name":"Ironies of Automation","author":"Bainbridge, L.","datePublished":"1983","identifier":"doi:10.1016/0005-1098(83)90046-8","url":"https://doi.org/10.1016/0005-1098(83)90046-8","description":"Empirical anchor for the failure twin's deskilling mode, located by the position paper (§6): physical and cognitive skills deteriorate when not used, so a formerly experienced operator who has been monitoring an automated process may now be an inexperienced one — while the monitoring arrangement asks the operator to supervise a system installed precisely because it outperforms them. Held as structural inference, not measurement on the cycle.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/benchmark-audit-moghadasi-ghaderi","sameAs":"https://www.wikidata.org/wiki/Q140181281","@type":["ExternalReference","ScholarlyArticle"],"name":"What Twelve LLM Agent Benchmark Papers Disclose About Themselves: A Pilot Audit and an Open Scoring Schema","author":"Moghadasi, M. N. & Ghaderi, F.","datePublished":"2026","identifier":"arXiv:2605.21404","url":"https://arxiv.org/abs/2605.21404","description":"Term disambiguation recorded by the position paper's pre-deposit sweep: the only other use of \"harness drift\" found, meaning a benchmark-comparability defect — results produced on the same benchmark under different scaffolds circulating under the same name — not a configuration layer's uncoupling from operator intent (the AKC sense). Readers retrieving \"harness drift\" should disambiguate by this contrast.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/constraint-drift","sameAs":"https://www.wikidata.org/wiki/Q140181279","@type":["ExternalReference","ScholarlyArticle"],"name":"Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems","author":"Li, T. et al.","datePublished":"2026","identifier":"arXiv:2605.10481","url":"https://arxiv.org/abs/2605.10481","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): constraint drift — the loss, distortion, weakening, or relaxation of constraints as they pass through memory, delegation, communication, tool use, audit, and optimization. Its reference list contains no classical software-evolution literature (no Lehman, Perry & Wolf, Parnas, or Snook) — part of the disconnection harness drift bridges by reference.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/memory-drift","sameAs":"https://www.wikidata.org/wiki/Q140181270","@type":["ExternalReference","ScholarlyArticle"],"name":"Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework","author":"Lam, C. et al.","datePublished":"2026","identifier":"arXiv:2603.11768","url":"https://arxiv.org/abs/2603.11768","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): memory drift, with semantic, procedural, and goal sub-forms. Its reference list contains no classical software-evolution literature, while citing the agent-drift coining paper itself — evidence the drift vocabulary propagates within the 2026 agent literature while remaining severed from the classical lineage.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
+{"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/belief-deviation","sameAs":"https://www.wikidata.org/wiki/Q140181284","@type":["ExternalReference","ScholarlyArticle"],"name":"Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents","author":"Liu, Z. et al.","datePublished":"2026","identifier":"arXiv:2605.30159","url":"https://arxiv.org/abs/2605.30159","description":"One of three further 2026 drift coinages audited in the position paper's pre-deposit sweep (§6): belief deviation over long horizons. Its reference list contains no classical software-evolution literature — part of the disconnection harness drift bridges by reference.","groundedIn":"https://doi.org/10.5281/zenodo.20578272"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/geo","sameAs":"https://www.wikidata.org/wiki/Q131161430","@type":["ExternalReference","ScholarlyArticle"],"name":"GEO: Generative Engine Optimization","author":"Aggarwal, P. et al.","datePublished":"2023","identifier":"arXiv:2311.09735","url":"https://arxiv.org/abs/2311.09735","description":"Measurement framework behind the geo-writer snapshot in ADR-0010 — the first Measure-phase self-application to AKC's own documentation. The README is scored before and after the cognitive-economy change on GEO-derived checks (entity density, question-heading prominence, chunk self-containment, definition density), with both snapshots retained in version control so successive ADRs can track the README's GEO trajectory over time.","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#prior-art/intrinsic-metacognitive-learning","sameAs":"https://www.wikidata.org/wiki/Q140181243","@type":["ExternalReference","ScholarlyArticle"],"name":"Truly Self-Improving Agents Require Intrinsic Metacognitive Learning","author":"Liu & van der Schaar","datePublished":"2025","identifier":"arXiv:2506.05109","url":"https://arxiv.org/abs/2506.05109","description":"Taxonomy named in ADR-0005's defense of the human approval gate. In its intrinsic/extrinsic distinction, AKC's gate is extrinsic metacognition — a human-designed loop with a human evaluator at the decision point — and stays so by design, not by immaturity: behavior-modifying writes remain gated because they are where the operator's evolving intent enters the loop.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md"}
 {"@id":"https://shimo4228.github.io/shimo4228/vocab#prior-art/externalization-review","sameAs":"https://www.wikidata.org/wiki/Q140181274","@type":["ExternalReference","ScholarlyArticle"],"name":"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering","author":"Zhou et al.","datePublished":"2026","identifier":"arXiv:2604.08224","url":"https://arxiv.org/abs/2604.08224","description":"Field map named in ADR-0013's Related-Work positioning. Frames the field as three coupled forms of externalization — memory, skills, protocols — coordinated by harness engineering as the unification layer; AKC accepts that it sits squarely inside this frame, overlapping the memory and skills quadrants, and locates its delta in loop ownership rather than in the externalization operations themselves.","groundedIn":"https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"}