Initial whetstone_RSA architecture and C++ scaffold
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sprints/SPRINT-001-gate-failure-taxonomy.md
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sprints/SPRINT-001-gate-failure-taxonomy.md
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# Sprint 001: Gate Failure Taxonomy
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## Status
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In Progress
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## Intent
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Define an abstract, library-level framework for diagnosing why bounded decision
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gates fail and what restructuring options `whetstone_RSA` should support.
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This sprint is explicitly about the RSA library.
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It is **not** about changing `whetstone_DSL`.
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`whetstone_DSL` is used only as a case study to surface recurring gate failure
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patterns that the library should handle generically.
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## Problem
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Some bounded gates train well at tiny model size. Others plateau at mediocre
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accuracy, and it is unclear whether the right response is:
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- a larger model
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- a better confidence policy
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- a decomposed gate structure
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- a deterministic pre-pass
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- richer input context
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- or a relabeling of the decision space
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Right now that diagnosis depends too much on a knowledgeable human noticing the
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pattern by inspection.
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The RSA library should instead provide abstract mechanisms for:
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- identifying failure signatures
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- classifying likely root causes
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- probing alternative gate structures
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- recommending safer deployment policies
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## Scope
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This sprint produces a first-pass taxonomy and design contract for gate diagnosis.
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Primary output:
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- `docs/gate_failure_taxonomy.md`
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Supporting updates as needed:
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- `docs/architecture.md`
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- `docs/evaluation_policy.md`
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- `docs/gate_rubric.md`
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## Case Study Constraint
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Use `whetstone_DSL/specialists` as evidence only.
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Do not propose direct code changes to `whetstone_DSL` as the sprint output.
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Instead, convert the observed patterns into reusable RSA abstractions.
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## Working Hypothesis
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Poor bounded-gate performance can usually be grouped into a small number of failure
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types that should be recognized by the library:
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- `capacity_limited_gate`
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- `factorizable_gate`
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- `non_stationary_gate`
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- `missing_context_gate`
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- `deterministic_disguised_as_ml_gate`
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- `label_space_mismatch`
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The library should be able to recommend different responses for each failure type
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without requiring a human to rediscover the pattern each time.
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## Deliverables
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### 1. Failure Taxonomy
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Define each failure class with:
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- description
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- characteristic symptoms
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- likely root causes
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- recommended probes
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- recommended interventions
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### 2. Probe Model
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Define library-level diagnostic probes such as:
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- confidence-threshold probe
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- class-confusion probe
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- factorization probe
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- deterministic-rule probe
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- schema-stability probe
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- context-width probe
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These are conceptual probes first, not necessarily implemented code in this sprint.
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### 3. Restructuring Policy
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Define abstract restructuring options available to RSA:
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- keep as single multiclass gate
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- factor into multiple smaller gates
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- convert part of the problem into deterministic rules
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- change to hierarchical routing
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- abstain and escalate
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- relabel or merge classes
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### 4. Library Contract Implications
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Describe what the runtime should eventually support so this taxonomy is usable:
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- gate metadata sufficient for diagnosis
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- pluggable probes
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- structured recommendations
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- logging fields that make diagnosis possible
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## Why This Matters
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Without a failure taxonomy, model-size escalation becomes the default answer to any
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weak gate.
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That is the wrong default.
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The library should first ask:
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- is this actually one gate?
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- is the label space stable?
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- is the model missing critical context?
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- is part of this already deterministic?
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- is the policy target changing as the system evolves?
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Only after those questions are answered should model scale be the main lever.
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## WhetstoneDSL-Derived Evidence To Capture
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### `prereq_op`
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Observed pattern:
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- tiny-tier performance around `69%`
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- combined 4-way label built from two latent binary decisions
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- heuristic keyword labeling over short text
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Library lesson:
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- multiclass gates may hide compositional structure
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- factorization probes should be first-class
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### `automatability`
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Observed pattern:
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- tiny-tier performance around `69%`
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- labels depend partly on current system capabilities and tooling maturity
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Library lesson:
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- some gates are non-stationary
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- schema-stability checks must be first-class
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### `confidence_tier`
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Observed pattern:
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- perfect or near-perfect behavior because the task is effectively formulaic
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Library lesson:
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- the library should detect when a gate belongs in deterministic tooling rather
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than learned routing
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## Acceptance Criteria
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- A new taxonomy document exists in `whetstone_RSA/docs/`
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- The taxonomy is framed in RSA-library terms, not WhetstoneDSL implementation terms
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- The document includes at least five distinct failure classes
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- Each class includes symptoms, probes, and recommended interventions
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- The case study evidence is cited only as motivating evidence
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- The sprint file is sufficient for a later session to resume work cleanly
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## Not In Scope
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- modifying `whetstone_DSL`
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- retraining any current specialist
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- implementing all probes in code
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- deciding final thresholds for every future application
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## Completed In This Sprint
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- Wrote `docs/gate_failure_taxonomy.md`
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- Updated `docs/architecture.md` to include gate diagnosis as a first-class concern
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- Updated `docs/evaluation_policy.md` to route weak-gate triage through the taxonomy
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- Wrote `docs/gate_rubric.md` to translate the case study into provisional policy
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## Next Step
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Define the diagnosis API and probe contracts so the taxonomy can become executable
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library behavior rather than remaining documentation only.
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Target artifact:
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- `docs/diagnosis_api.md`
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