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@@ -295,6 +295,13 @@
295
  "description": "AKC holds its own structure provisionally: no layer of the cycle's self-description — skills, the phase-to-skill binding, or the six-phase set — is a fixed essence. Operationalizes the Emptiness axiom (contemplative-axioms, Laukkonen et al. 2025) for AKC's own frame, correcting a reification error in which the 'bijective' binding was read as an invariant that forbade a second Curate skill. Three concrete moves: (1) the binding is reworded across graph.jsonld, the README phase table, and llms.txt from 'bound bijectively to X' to 'currently scaffolded by X (a mutable snapshot)'; (2) Curate is layered — its structural / code layer is skill-health (a dangling-reference, missing-artifact scan; an ADR-0008 guard, deterministic), its semantic / judgment layer is skill-stocktake — enumerate-then-decide, skill-health published as a standalone repository and referenced like the other cycle skills, its SkillOps four-dimension rubric staying content-side; (3) the skill set both grows (skill-health joins) and dissolves (skill-comply's compliance-checking is a candidate for substrate absorption by the host harness, recorded experimental n=1, not retired). The six-phase count is de-reified but not removed — provisional is not arbitrary; the structures remain the load-bearing current articulation, held lightly. The ADR is itself provisional. Extends ADR-0009, applies ADR-0008, bounded by ADR-0011, continues ADR-0018, grounded in contemplative-axioms (Emptiness).",
296
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"
297
  },
 
 
 
 
 
 
 
298
 
299
  {
300
  "@id": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop",
@@ -878,6 +885,7 @@
878
  "datePublished": "2026",
879
  "identifier": "arXiv:2603.11768",
880
  "url": "https://arxiv.org/abs/2603.11768",
 
881
  "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.",
882
  "groundedIn": "https://doi.org/10.5281/zenodo.20578272"
883
  },
@@ -914,6 +922,7 @@
914
  "datePublished": "2025",
915
  "identifier": "arXiv:2506.05109",
916
  "url": "https://arxiv.org/abs/2506.05109",
 
917
  "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.",
918
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md"
919
  },
@@ -926,6 +935,7 @@
926
  "datePublished": "2026",
927
  "identifier": "arXiv:2604.08224",
928
  "url": "https://arxiv.org/abs/2604.08224",
 
929
  "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.",
930
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
931
  },
@@ -965,6 +975,90 @@
965
  "description": "Empirical corroboration named in ADR-0013's 2026-06-25 addendum. Finds that skill benefits are fragile — degrading toward the no-skill baseline as the library grows large and uncurated and the agent must retrieve from many real-world skills rather than be handed a hand-crafted one. Independent support for ADR-0010's claim that curation is the load-bearing, attention-bound act: the scarce resource is the human judgment that decides what stays, not the storage that holds it. Corroboration rather than precedent.",
966
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
967
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
968
 
969
  {
970
  "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/episode-log.schema.json",
 
295
  "description": "AKC holds its own structure provisionally: no layer of the cycle's self-description — skills, the phase-to-skill binding, or the six-phase set — is a fixed essence. Operationalizes the Emptiness axiom (contemplative-axioms, Laukkonen et al. 2025) for AKC's own frame, correcting a reification error in which the 'bijective' binding was read as an invariant that forbade a second Curate skill. Three concrete moves: (1) the binding is reworded across graph.jsonld, the README phase table, and llms.txt from 'bound bijectively to X' to 'currently scaffolded by X (a mutable snapshot)'; (2) Curate is layered — its structural / code layer is skill-health (a dangling-reference, missing-artifact scan; an ADR-0008 guard, deterministic), its semantic / judgment layer is skill-stocktake — enumerate-then-decide, skill-health published as a standalone repository and referenced like the other cycle skills, its SkillOps four-dimension rubric staying content-side; (3) the skill set both grows (skill-health joins) and dissolves (skill-comply's compliance-checking is a candidate for substrate absorption by the host harness, recorded experimental n=1, not retired). The six-phase count is de-reified but not removed — provisional is not arbitrary; the structures remain the load-bearing current articulation, held lightly. The ADR is itself provisional. Extends ADR-0009, applies ADR-0008, bounded by ADR-0011, continues ADR-0018, grounded in contemplative-axioms (Emptiness).",
296
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md"
297
  },
298
+ {
299
+ "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0020-readme-minimal-floor.md",
300
+ "@type": ["ADR", "TechArticle"],
301
+ "name": "ADR-0020: Minimal-floor README with Single-location Theme Presentation",
302
+ "description": "Amends ADR-0012's README-side prescription after its fix overshot: front-loading the three core themes produced a double presentation (a four-paragraph 'What is AKC?' plus a three-subsection 'Why AKC') and a skill list spread across three tables, growing the README to 302 lines / 8 tables — observed as operator pain on 2026-07-07. The corrective: README.md moves to a minimal floor — the three themes get exactly one full presentation (in 'Why AKC', fixed order: cognitive resource → intent alignment → the cycle changes the human too), the skill list collapses to the single phase→skill table, and design principles, references, the harness-engineering comparison, and adoption levels become pointers into the existing machine-readable floor (llms-full.txt, individual ADRs) rather than second copies. ADR-0012's front-load principle (theme phrases in the first thirty lines, themes before mechanism) and its llms.txt / llms-full.txt commitments remain in force unchanged; llms-full.txt gains explicit responsibility as the canonical information floor. Second correction in the same front-door alignment family: ADR-0012 corrected invisibility, ADR-0020 corrects the overshoot into repetition. Same spirit as ADR-0019 applied to the document layer — the README's shape is a provisional structure, revised on observed pain and recorded rather than silently patched.",
303
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md"
304
+ },
305
 
306
  {
307
  "@id": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop",
 
885
  "datePublished": "2026",
886
  "identifier": "arXiv:2603.11768",
887
  "url": "https://arxiv.org/abs/2603.11768",
888
+ "about": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/self-reingestion",
889
  "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.",
890
  "groundedIn": "https://doi.org/10.5281/zenodo.20578272"
891
  },
 
922
  "datePublished": "2025",
923
  "identifier": "arXiv:2506.05109",
924
  "url": "https://arxiv.org/abs/2506.05109",
925
+ "about": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate",
926
  "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.",
927
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md"
928
  },
 
935
  "datePublished": "2026",
936
  "identifier": "arXiv:2604.08224",
937
  "url": "https://arxiv.org/abs/2604.08224",
938
+ "about": "https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure",
939
  "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.",
940
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
941
  },
 
975
  "description": "Empirical corroboration named in ADR-0013's 2026-06-25 addendum. Finds that skill benefits are fragile — degrading toward the no-skill baseline as the library grows large and uncurated and the agent must retrieve from many real-world skills rather than be handed a hand-crafted one. Independent support for ADR-0010's claim that curation is the load-bearing, attention-bound act: the scarce resource is the human judgment that decides what stays, not the storage that holds it. Corroboration rather than precedent.",
976
  "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
977
  },
978
+ {
979
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/sdb-runtime-patterns",
980
+ "@type": ["ExternalReference", "ScholarlyArticle"],
981
+ "name": "A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents",
982
+ "author": "Srinivasan, V.",
983
+ "datePublished": "2026",
984
+ "identifier": "arXiv:2605.20173",
985
+ "url": "https://arxiv.org/abs/2605.20173",
986
+ "about": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering",
987
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Names the stochastic-deterministic boundary (SDB) — a four-part contract of proposer, verifier, commit step, and reject signal — as the load-bearing primitive of production agent runtimes, and organizes runtime design into coordination, state, and control concerns around it. A production-derived formalization of code-LLM layering: code decides, the LLM proposes.",
988
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
989
+ },
990
+ {
991
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/context-engineering-2",
992
+ "@type": ["ExternalReference", "ScholarlyArticle"],
993
+ "name": "Context Engineering 2.0: The Context of Context Engineering",
994
+ "author": "Hua, Q. et al.",
995
+ "datePublished": "2025",
996
+ "identifier": "arXiv:2510.26493",
997
+ "url": "https://arxiv.org/abs/2510.26493",
998
+ "about": ["https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first", "https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy"],
999
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Treats the selection and shaping of what reaches the model as a discipline in its own right, with a history predating LLMs. Independent convergence with signal-first (information that changes no action is not taken in) and cognitive economy (attention managed as the scarce budget).",
1000
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1001
+ },
1002
+ {
1003
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/cognitive-divergence",
1004
+ "@type": ["ExternalReference", "ScholarlyArticle"],
1005
+ "name": "The Cognitive Divergence: AI Context Windows, Human Attention Decline, and the Delegation Feedback Loop",
1006
+ "author": "Eliav, N.",
1007
+ "datePublished": "2026",
1008
+ "identifier": "arXiv:2603.26707",
1009
+ "url": "https://arxiv.org/abs/2603.26707",
1010
+ "about": ["https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy", "https://shimo4228.github.io/shimo4228/vocab#akc/concept/loop-failure-modes"],
1011
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Quantifies the asymmetry cognitive economy assumes — model context windows expanding roughly 3,906-fold (2017-2026) while human effective context span contracts — and names a self-reinforcing delegation feedback loop, the coupling ADR-0014 records as delegation-feedback divergence.",
1012
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1013
+ },
1014
+ {
1015
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/skillc",
1016
+ "@type": ["ExternalReference", "ScholarlyArticle"],
1017
+ "name": "SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment",
1018
+ "author": "Lin, H. et al.",
1019
+ "datePublished": "2026",
1020
+ "identifier": "arXiv:2605.27899",
1021
+ "url": "https://arxiv.org/abs/2605.27899",
1022
+ "about": "https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution",
1023
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Converts the gap between skill-injected and skill-free rollouts into a direct learning signal for skill internalization, withdrawing the scaffold as the gap closes — scaffold dissolution operationalized as a measurable, driveable process rather than an end-state aspiration.",
1024
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1025
+ },
1026
+ {
1027
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/format-cost-separation",
1028
+ "@type": ["ExternalReference", "ScholarlyArticle"],
1029
+ "name": "When Agents Go Quiet: Output Generation Capacity and Format-Cost Separation for LLM Document Synthesis",
1030
+ "author": "Agyemang, J. O. et al.",
1031
+ "datePublished": "2026",
1032
+ "identifier": "arXiv:2604.16736",
1033
+ "url": "https://arxiv.org/abs/2604.16736",
1034
+ "about": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill",
1035
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Proves a Format-Cost Separation Theorem: deferred rendering is at least as token-efficient as direct generation for any format whose overhead multiplier exceeds one. Upgrades ADR-0004's two-stage distill pipeline — think free-form first, format second — from an empirical rule to a conditionally optimal design.",
1036
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1037
+ },
1038
+ {
1039
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/verification-bottleneck",
1040
+ "@type": ["ExternalReference", "ScholarlyArticle"],
1041
+ "name": "AI, Metacognition, and the Verification Bottleneck: A Three-Wave Longitudinal Study of Human Problem-Solving",
1042
+ "author": "Huemmer, M. et al.",
1043
+ "datePublished": "2026",
1044
+ "identifier": "arXiv:2601.17055",
1045
+ "url": "https://arxiv.org/abs/2601.17055",
1046
+ "about": ["https://shimo4228.github.io/shimo4228/vocab#akc/concept/loop-failure-modes", "https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop"],
1047
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. A three-wave longitudinal record of the loop failure modes in a human population: participants leaned on AI most heavily for the hardest tasks, exactly where their verification confidence and accuracy were lowest — the bidirectional growth loop observed running in reverse.",
1048
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1049
+ },
1050
+ {
1051
+ "@id": "https://shimo4228.github.io/shimo4228/vocab#prior-art/agent-human-interaction-security",
1052
+ "@type": ["ExternalReference", "ScholarlyArticle"],
1053
+ "name": "Reframing LLM Agent Security as an Agent-Human Interaction Problem",
1054
+ "author": "Wang, P. et al.",
1055
+ "datePublished": "2026",
1056
+ "identifier": "arXiv:2605.24309",
1057
+ "url": "https://arxiv.org/abs/2605.24309",
1058
+ "about": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment",
1059
+ "description": "Corroboration named in ADR-0013's 2026-07-08 addendum. Analyzes 59 academic papers against 21 production agent systems: the academically favored mechanisms (intent anchoring, trust labeling) see zero production deployment while human-centric mechanisms — policy specification, runtime approval, scope configuration — dominate industry practice. The intent-alignment theme's industry-academia gap, measured.",
1060
+ "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0013-positioning-within-agent-memory-literature.md"
1061
+ },
1062
 
1063
  {
1064
  "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/episode-log.schema.json",