T04: deterministic semantic kernel
Alice/Bob/Carol runs end to end, deterministically, replayable from seed. 16 tests pass, no third-party dependencies. - src/testdriver: intent, provenance, world, actions, drivers, observers, oracles, evidence, energy, scenario, runner - lab/minimal.py: the SUT, exposing the independent observation channel required by D-07 - evidence is stratified S1/S2/S3; Runner refuses to attribute S2/S3 to an actor; claims are frozen and provenance-checked at construction - missing evidence yields INCONCLUSIVE, which outranks PASS in the run verdict - EnergyEvents captured, no scoring (H-005 dormant) The observation channel records both stored state and an out-of-band enforcement probe; their disagreement is an invariant and is what detects an authorization defect that leaves the audit trail intact. A seeded RevokeIsCosmetic lab fails the run via both the claim and that invariant. Also closes TD-WP-0001-T02 (stack and commands now exist). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1629012@bnt-lap001 Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
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# Concept ↔ Implementation Fitness Map
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**Updated:** 2026-08-22 (TD-WP-0002-T03)
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**Updated:** 2026-08-22 (TD-WP-0002-T04)
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Traces each important concept to the implementation, experiment and evidence that
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support it. **Unsupported entries are the point of this map** — a concept with no
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@ -13,25 +13,29 @@ Support levels follow `TestDriverImprovementLoop.md` §13:
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## Current state
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At the time of writing there is **no implementation**, so no concept can honestly
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exceed `C1`. The initial classifications in §13 of the Improvement Loop
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The deterministic kernel exists (T04) and its guarantees are covered by unit
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tests. **Levels have not moved.** A passing unit test is not an experiment: it
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shows the code does what its author intended, not that the concept holds under
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the mutations it claims to survive. Levels rise when E-001/E-002/E-003 produce
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evidence, not before. The implementation column below moves; the level column
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does not. The initial classifications in §13 of the Improvement Loop
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(`Actor Isolation C2`, `Independent Oracles C2`) are corrected downward here: they
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were aspirational, not evidenced.
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| Concept | Level | Implementation | Experiment | Evidence | Open question |
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|---|---|---|---|---|---|
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| `C-use-case` | C1 | — (T04) | — | — | Is a use case expressible without leaking mechanics? |
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| `C-actor-isolation` | C1 | — (T04) | E-001 | — | Isolation is asserted by construction; unverified. |
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| `C-semantic-action` | C1 | — (T04) | E-001 | — | Does identity survive restructuring better than a recorded sequence? (H-001) |
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| `C-oracle-independence` | C1 | — (T04) | E-001, E-003 | — | Independence of components ≠ independence of belief. (H-004) |
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| `C-evidence-pack` | C1 | — (T04) | — | — | What is the minimum sufficient for replay? |
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| `C-observation-channel` | C1 | — (T05) | — | — | **D-07** — required of every system under test. Adoption cost unknown. |
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| `C-use-case` | C1 | `intent.py` | — | — | Is a use case expressible without leaking mechanics? |
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| `C-actor-isolation` | C1 | `world.py` | E-001 | — | Isolation is asserted by construction; unverified. |
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| `C-semantic-action` | C1 | `actions.py` | E-001 | — | Does identity survive restructuring better than a recorded sequence? (H-001) |
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| `C-oracle-independence` | C1 | `runner.py`, `oracles.py` | E-001, E-003 | — | Independence of components ≠ independence of belief. (H-004) |
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| `C-evidence-pack` | C1 | `evidence.py` | — | — | What is the minimum sufficient for replay? |
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| `C-observation-channel` | C1 | `lab/minimal.py` | — | — | **D-07** — required of every system under test. Adoption cost unknown. |
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| `C-adaptation` | C1 | — (T08) | E-001 | — | (H-002) |
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| `C-classification` | C1 | — (T08) | E-001, E-003 | — | Decision table is total on paper; unexercised. |
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| `C-crystallization` | C1 | — (T09) | E-002 | — | (H-003) |
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| `C-intent-provenance` | C1 | — (T04) | E-003 | — | Constrains provenance, not quality. Accepted residual. |
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| `C-intent-provenance` | C1 | `provenance.py` | E-003 | — | Constrains provenance, not quality. Accepted residual. |
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| `C-lineage` | C0 | — | — | — | Parent pointer only in the spike. |
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| `C-energy` | C0 | events only (T04) | — | — | Dormant by decision. (H-005) |
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| `C-energy` | C0 | `energy.py`, capture only | — | — | Dormant by decision. (H-005) |
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| `C-temperature` | C0 | — | — | — | Deferred. No implementation planned in TD-WP-0002. |
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| `C-confidence` | C0 | — | — | — | Deferred. |
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| `C-campaign` | C0 | — | — | — | Deferred. |
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@ -49,4 +53,7 @@ most at risk of being built because they are easy and satisfying, and never
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validated. They are revisited at T10, where the question is not "when do we build
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these" but "does the evidence justify keeping them in the model at all".
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**Implementation orphans** — none yet; there is no implementation.
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**Implementation orphans** — none. Every module in `src/testdriver/` traces to a
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concept above. `energy.py` is the one to watch: it exists solely to capture
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events for a dormant hypothesis, and if T10 finds no use for the history it
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should be removed rather than kept out of sentiment.
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