Sprint 1: project skeleton, type system, and all architecture specs

- src/types.hpp: complete UCWM type system in C++20 — 19 enums, 11 facet
  data types, all core structs (CanonicalObject, Constraint, Facet,
  GateSignal, WorldState, etc.) with full JSON round-trip serialization
- src/main.cpp: smoke test — constructs apple-problem WorldState by hand,
  serializes to JSON
- tests/test_types.cpp: 19 tests, 123 assertions, all passing
- CMakeLists.txt: CMake + CPM build with nlohmann/json, spdlog, Catch2
- schemas/: JSON Schema contracts for all UCWM data types
- gates/, specialists/, resolver/, synthesis/: language-agnostic interface
  contracts and domain specs for all pipeline layers
- docs/: architecture, vocabulary, decision matrices, roadmap (6 phases,
  28 sprints), sprint_001, implementation_constraints

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-05-01 16:09:55 -07:00
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# Language Binding Interface
The language binding layer is the boundary between messy natural language and the structured UCWM reasoning core. It consists of exactly two interface stubs:
```
to_ucwm(text_input) → WorldState
from_ucwm(world_state) → text_output
```
These must remain separable. The reasoning core must never depend on how language enters or exits.
---
## `to_ucwm` — Input binding
```
to_ucwm {
input:
text: string -- raw natural language input
context: WorldState? -- optional prior world state (multi-turn)
options: BindingOptions?
output:
world_state: WorldState -- stage = "post_gate" with gate_signals populated
-- and initial object proposals if perception runs here
BindingOptions {
run_gates: boolean -- default: true
run_perception: boolean -- default: true (runs object proposal)
language: string? -- ISO 639-1 language code, default "en"
debug: boolean -- emit step-by-step trace
}
}
```
### Responsibilities
`to_ucwm` is responsible for:
1. Running the Relation Gate Array on the input text, producing `GateSignal[]`
2. Running the perception / object proposal stage, producing initial `CanonicalObject[]`
3. Packaging both into a `WorldState` with `stage = "post_gate"` or `"post_proposal"`
4. Returning a valid WorldState — never raw text, never embeddings as primary output
### What `to_ucwm` must NOT do
- Run specialists
- Emit constraints
- Produce answers
- Modify a prior WorldState in-place (multi-turn must pass context as a separate field, not mutate)
### Naive implementation (first slice)
A minimal `to_ucwm` implementation:
1. Run all gates using rule-based implementations from `gates/simple_rules.md`
2. For each activated gate, tag relevant spans
3. Propose one `CanonicalObject` per clearly identified entity, quantity, or event span
4. Return WorldState with these proposals
This is sufficient for the first vertical slice. Upgrade to a neural perception model later.
---
## `from_ucwm` — Output binding
```
from_ucwm {
input:
world_state: WorldState -- must have stage = "resolved"
original_query: string -- original user input text
mode: string -- "direct" | "explain" | "trace"
options: OutputOptions?
output:
text: string -- natural language answer
confidence: float
derivation_trace: string[]
open_questions: string[]?
OutputOptions {
max_length: integer? -- max characters in output text
language: string? -- ISO 639-1, default "en"
debug: boolean
}
}
```
### Responsibilities
`from_ucwm` is responsible for:
1. Checking WorldState.stage = "resolved" (reject otherwise with an error)
2. Delegating to the synthesis module (see `synthesis/contract.md`)
3. Returning a typed `SynthesisOutput` — never directly generating text from tokens
### What `from_ucwm` must NOT do
- Access raw input tokens
- Run specialists or the resolver
- Add facts not present in resolved WorldState
---
## Contract invariants
1. **Round-trip transparency.** For any resolved WorldState W:
```
from_ucwm(W).derivation_trace must reference only IDs that exist in W
```
2. **Stage enforcement.** `to_ucwm` always produces a WorldState with stage at or before `post_proposal`. `from_ucwm` always requires stage = `resolved`. The pipeline between them is the responsibility of the caller.
3. **Stateless bindings.** Neither binding holds state. Multi-turn context is passed as an argument, not stored inside the binding.
4. **Language is at the edges only.** Raw language appears only at the input of `to_ucwm` and the output of `from_ucwm`. No other module may receive or emit raw language as a primary typed output.
---
## Multi-turn handling
For conversational multi-turn:
```
turn_1:
ws_1 = to_ucwm(text="Alice had 5 apples")
ws_1_resolved = pipeline(ws_1)
turn_2:
ws_2 = to_ucwm(text="She gave Bob 2.", context=ws_1_resolved)
-- ws_2 inherits E1 (Alice), O_apples, Q1 from ws_1_resolved
-- entity specialist resolves "She" → E1 via existing alias
```
The context WorldState is read-only in `to_ucwm`. New proposals may reference objects from context but do not modify them directly. The resolver handles merges.
---
## Debug trace format
When `options.debug = true`, both bindings emit a structured log:
```json
{
"stage": "to_ucwm",
"input_length": 42,
"gates_fired": ["has_entity_reference", "has_quantity", "has_ownership_transfer"],
"objects_proposed": 5,
"world_state_stage": "post_proposal"
}
{
"stage": "from_ucwm",
"world_state_stage": "resolved",
"answer": "Alice has 3 apples.",
"confidence": 0.97,
"derivation_steps": 7
}
```