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feat(retrieval): semantic contradiction detector v3 — typed-slot value-comparison gate (#422) - #431

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feat(retrieval): semantic contradiction detector v3 — typed-slot value-comparison gate (#422)#431
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feat/issue-422-value-comparison-detector

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@yoshi280

@yoshi280 yoshi280 commented May 5, 2026

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Closes #422 (value-comparison route). Implements route (b) from the spec — stdlib-only, deterministic, no embeddings, no learned classifiers. The embedding route (route (a)) stays a separately filed v2.x decision per operator preference.

Why route (b) only

Operator preference: aelfrice prefers deterministic stdlib gates over embedding/ML in the runtime path. Embeddings introduce supply-chain + lifecycle costs and break replay-equality (#262 / #403) and bench-gate reproducibility. The value-comparison route hits the same failure mode (paraphrase contradictions that miss the residual-overlap floor) without those trade-offs.

What ships

aelfrice.value_compare (new module)

Typed-slot extractor + mutual-exclusion comparator. Extracts NumericSlot(key, value) and EnumSlot(category, group_id, member) from belief prose; find_conflicts() returns SlotConflict tuples on key/category mismatches. Initial enum taxonomy: 9 categories (execution_mode, default_state, storage_mode, completeness, strictness, necessity, visibility, access_mode, determinism) with alias groups so syncsynchronous.

relationship_detector.analyze(..., use_value_comparison=True)

The v3 gate runs before the residual-overlap floor — slot match is the relatedness signal, no token overlap required. Default False preserves v1 behaviour byte-for-byte. Slot-fire verdicts pin score=1.0 with rationale value_comparison:<kind>=<key>.

Bench gate (tests/bench_gate/test_contradiction_v3.py)

Re-runs the labeled adversarial corpus through the flag-on path. Asserts recall ≥ 0.5 AND precision ≥ 0.7 per #422 acceptance #2 (vs #201 R2 numbers: recall 0.033, precision 0.667). Skip-on-no-corpus.

Acceptance map

Out of scope

  • Embedding route (route (a)) — operator preference rules it out for now; if needed later, file a separate substrate-decision issue first.
  • aelf doctor / aelf resolve UX wiring — separate concern.
  • Auto-emit on the write-path — flag stays False by default; flip is operator decision after lab-side bench.

Test plan

  • uv run pytest tests/test_value_compare.py -v — 30 passed
  • uv run pytest tests/test_relationship_detector_v3.py -v — 9 passed
  • uv run pytest tests/test_relationship_detector.py -q — passes (v1 unchanged)
  • uv run pytest --ignore=tests/bench_gate -q — 2495 passed, 23 skipped, no regressions
  • uv run pytest tests/bench_gate/test_contradiction_v3.py — skips cleanly without corpus
  • Lab-side: AELFRICE_CORPUS_ROOT=... uv run pytest tests/bench_gate/test_contradiction_v3.py — runs once corpus is mounted; gates the v3 default-on flip

Stack note

This PR will stack behind #425 / #429's soak-gate timer (same consecutive-green ≥ 7d Replay Soak Gate blocker).

Summary by Sourcery

Introduce a deterministic typed-slot value-comparison contradiction gate and integrate it as an optional v3 path in the relationship detector, with supporting tests, benchmarks, and documentation.

New Features:

  • Add aelfrice.value_compare module that extracts numeric and enum slots from belief text and finds mutual-exclusion conflicts for contradiction detection.
  • Add a feature-flagged value-comparison path to relationship_detector.analyze/classify that emits high-confidence contradictions based on slot conflicts independent of token overlap.

Enhancements:

  • Document the value-comparison gate design, taxonomy, and integration details in docs/value_compare.md.

Tests:

  • Add unit tests for value_compare slot extraction, conflict detection, and determinism guarantees.
  • Add integration tests ensuring the v3 value-comparison gate behavior and default v1 compatibility in relationship_detector.
  • Add a bench-gated contradiction_v3 test that enforces recall and precision thresholds against the labeled adversarial corpus.

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sourcery-ai Bot commented May 5, 2026

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Reviewer's Guide

Adds a deterministic typed-slot value-comparison contradiction detector (v3) behind a feature flag and integrates it into the relationship detector, with a new stdlib-only value_compare module, tests, docs, and a bench gate to enforce recall/precision targets.

Sequence diagram for analyze with value-comparison gate enabled

sequenceDiagram
    actor Caller
    participant RelationshipDetector as relationship_detector
    participant ValueCompare as value_compare

    Caller->>RelationshipDetector: analyze(text_a, text_b, use_value_comparison=true)
    activate RelationshipDetector
    alt use_value_comparison is true
        RelationshipDetector->>ValueCompare: extract_values(text_a)
        activate ValueCompare
        ValueCompare-->>RelationshipDetector: ValueSlots slots_a
        deactivate ValueCompare

        RelationshipDetector->>ValueCompare: extract_values(text_b)
        activate ValueCompare
        ValueCompare-->>RelationshipDetector: ValueSlots slots_b
        deactivate ValueCompare

        RelationshipDetector->>ValueCompare: find_conflicts(slots_a, slots_b, numeric_rel_tol)
        activate ValueCompare
        ValueCompare-->>RelationshipDetector: tuple SlotConflict conflicts
        deactivate ValueCompare

        alt conflicts not empty
            RelationshipDetector-->>Caller: RelationshipVerdict(label=contradicts, score=1.0, residual_overlap=0.0, rationale="value_comparison:...")
        else no conflicts
            RelationshipDetector->>RelationshipDetector: extract_signals, _residual_jaccard
            RelationshipDetector-->>Caller: RelationshipVerdict (v1 path)
        end
    else use_value_comparison is false
        RelationshipDetector->>RelationshipDetector: extract_signals, _residual_jaccard
        RelationshipDetector-->>Caller: RelationshipVerdict (v1 path)
    end
    deactivate RelationshipDetector
Loading

Class diagram for value_compare typed-slot gate and relationship_detector integration

classDiagram
    class relationship_detector {
        +RelationshipVerdict analyze(text_a: str, text_b: str, residual_overlap_min: float, use_value_comparison: bool)
        +str classify(text_a: str, text_b: str, use_value_comparison: bool)
    }

    class RelationshipVerdict {
        +str label
        +float score
        +float residual_overlap
        +str rationale
    }

    class NumericSlot {
        +str key
        +float value
    }

    class EnumSlot {
        +str category
        +str group_id
        +str member
    }

    class ValueSlots {
        +tuple~NumericSlot~ numeric
        +tuple~EnumSlot~ enum
    }

    class SlotConflict {
        +str kind
        +str key
        +str value_a
        +str value_b
    }

    class value_compare {
        +ValueSlots extract_values(text: str)
        +tuple~SlotConflict~ find_conflicts(slots_a: ValueSlots, slots_b: ValueSlots, numeric_rel_tol: float)
    }

    relationship_detector --> RelationshipVerdict : returns
    relationship_detector ..> value_compare : imports

    value_compare *-- ValueSlots : creates
    ValueSlots *-- NumericSlot : numeric
    ValueSlots *-- EnumSlot : enum

    value_compare --> SlotConflict : returns

    relationship_detector ..> SlotConflict : uses
    relationship_detector ..> ValueSlots : uses

    value_compare ..> NumericSlot : constructs
    value_compare ..> EnumSlot : constructs
Loading

File-Level Changes

Change Details Files
Introduce deterministic typed-slot value-comparison engine for numeric and enumerated slots and expose conflict detection API.
  • Add value_compare module implementing numeric and enum slot extraction via regex and curated vocab.
  • Define NumericSlot, EnumSlot, ValueSlots, and SlotConflict dataclasses for structured slot representation and conflicts.
  • Implement extract_values and find_conflicts with relative-tolerance numeric comparison and mutual-exclusion enum logic.
  • Build and index ENUM_VOCAB taxonomy covering execution_mode and related categories, including alias handling and determinism guarantees.
src/aelfrice/value_compare.py
Wire value-comparison gate into relationship_detector behind a use_value_comparison feature flag and keep v1 behavior as default.
  • Extend analyze() to accept use_value_comparison flag and short-circuit to contradicts when slot conflicts are found, bypassing residual-overlap floor.
  • Construct rationale strings with value_comparison:= pattern and pin score to 1.0 for slot-fire verdicts.
  • Update classify() to accept and forward use_value_comparison, preserving previous signature behavior when flag is false.
src/aelfrice/relationship_detector.py
Add unit and integration tests for value_compare and v3 relationship detector behavior.
  • Create tests for numeric and enum extraction, conflict detection, vocab integrity, determinism, and dataclass behavior.
  • Add integration tests verifying v3 catches paraphrased numeric/enum contradictions, respects tolerance and aliasing, and leaves v1 path unchanged.
  • Ensure classify() propagates the feature flag and score pinning is validated.
tests/test_value_compare.py
tests/test_relationship_detector_v3.py
Add documentation and a bench gate enforcing contradiction detector recall and precision targets.
  • Document value-comparison design, taxonomy, integration semantics, determinism, and maintenance guidelines in value_compare.md.
  • Add bench_gate test that loads the contradiction corpus, runs classify(..., use_value_comparison=True), computes confusion metrics, and asserts recall/precision floors with skip-on-no-corpus behavior.
docs/value_compare.md
tests/bench_gate/test_contradiction_v3.py

Assessment against linked issues

Issue Objective Addressed Explanation
#422 Implement a v3 semantic contradiction detector by adding a new relatedness gate (value-comparison and/or embeddings) behind a feature flag, integrated into the existing relationship_detector while preserving v1 behaviour by default.
#422 Add a bench harness over the labeled adversarial contradiction corpus that exercises the v3 gate and enforces recall >= 0.5 and precision >= 0.7 for CONTRADICTS, and define an auto-emit policy (high-confidence CONTRADICTS only; POTENTIALLY_STALE deferred) with cost kept within the stated performance target.
#422 Document the new relatedness gate, including where it lives in the codebase, how the typed-slot/value-comparison taxonomy is maintained, and its determinism/operational characteristics.

Possibly linked issues


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  • src/aelfrice/value_compare.py
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Hey - I've found 3 issues, and left some high level feedback:

  • The rationale construction in relationship_detector.analyze zips independently sorted kinds and keys, which can mispair conflict kinds with unrelated keys; consider building the rationale directly from the conflicts list (e.g., using (c.kind, c.key) tuples) to keep kind/key pairs aligned.
  • Several docstrings/comments in value_compare (e.g., references to units and (key, unit) comparisons in _NUMERIC_RE and find_conflicts) no longer match the implementation, which only tracks (key, value); tighten these descriptions to avoid confusion about unit handling and the actual comparison surface.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- The rationale construction in `relationship_detector.analyze` zips independently sorted `kinds` and `keys`, which can mispair conflict kinds with unrelated keys; consider building the rationale directly from the `conflicts` list (e.g., using `(c.kind, c.key)` tuples) to keep kind/key pairs aligned.
- Several docstrings/comments in `value_compare` (e.g., references to units and `(key, unit)` comparisons in `_NUMERIC_RE` and `find_conflicts`) no longer match the implementation, which only tracks `(key, value)`; tighten these descriptions to avoid confusion about unit handling and the actual comparison surface.

## Individual Comments

### Comment 1
<location path="src/aelfrice/relationship_detector.py" line_range="265-267" />
<code_context>
+            # this gate emits) so the auto-emit policy in #422
+            # acceptance #3 can route on (conflicts present AND
+            # score >= floor).
+            kinds = sorted({c.kind for c in conflicts})
+            keys = sorted({c.key for c in conflicts})
+            rationale = "value_comparison:" + ",".join(
+                f"{kind}={key}" for kind, key in zip(kinds, keys)
+            ) if len(kinds) == len(keys) else (
</code_context>
<issue_to_address>
**issue (bug_risk):** Rationale formatting can mis-associate conflict kinds and keys.

`kinds` and `keys` are independently deduped, sorted, and then zipped. This breaks the original `(kind, key)` associations, so a given `kind` may be paired with the wrong `key`, especially when mixing numeric and enum conflicts, producing a misleading rationale. Instead, build the rationale from the original `conflicts` sequence, preserving `(c.kind, c.key)` pairs (e.g., by iterating conflicts directly or sorting a collection of `(kind, key)` tuples).
</issue_to_address>

### Comment 2
<location path="src/aelfrice/value_compare.py" line_range="273-280" />
<code_context>
+) -> tuple[SlotConflict, ...]:
+    """Return all mutual-exclusion conflicts between two beliefs' slots.
+
+    Numeric conflict: same ``(key, unit)`` with values outside the
+    relative-tolerance band. Unit-mismatch is silent — different
+    units mean different scales and the comparator cannot adjudicate
+    without a unit-conversion table (out of scope).
</code_context>
<issue_to_address>
**suggestion:** Docstring describes key+unit semantics that the implementation no longer models.

The implementation now treats numeric conflicts as keyed only by `key`, while the docstring still describes `(key, unit)` semantics and the extractor no longer handles units. This inconsistency could mislead future readers into assuming unit-aware behavior. Please either update the docstring to match the current behavior or restore explicit unit handling if that’s still required.

```suggestion
    """Return all mutual-exclusion conflicts between two beliefs' slots.

    Numeric conflict: same ``key`` with values outside the
    relative-tolerance band (``numeric_rel_tol``). Units are not
    interpreted or compared — any unit information present on slots
    is ignored by this function.

    Enum conflict: same ``category`` with different ``member`` values.
```
</issue_to_address>

### Comment 3
<location path="docs/value_compare.md" line_range="120" />
<code_context>
+Skip-on-no-corpus on public CI. Below-floor blocks the v3 default-on
+flip; the operator decides whether to widen `ENUM_VOCAB`, tune
+`DEFAULT_NUMERIC_REL_TOL`, or accept the precision/recall trade-off
+under audit-only surface (`aelf resolve` style human-in-loop).
+
+## Maintenance
</code_context>
<issue_to_address>
**suggestion (typo):** Consider changing "human-in-loop" to the more standard "human-in-the-loop".

"Human-in-loop" reads like a typo and is uncommon; using the standard "human-in-the-loop" would improve clarity without changing the meaning.

```suggestion
under audit-only surface (`aelf resolve` style human-in-the-loop).
```
</issue_to_address>

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Comment on lines +265 to +267
kinds = sorted({c.kind for c in conflicts})
keys = sorted({c.key for c in conflicts})
rationale = "value_comparison:" + ",".join(

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issue (bug_risk): Rationale formatting can mis-associate conflict kinds and keys.

kinds and keys are independently deduped, sorted, and then zipped. This breaks the original (kind, key) associations, so a given kind may be paired with the wrong key, especially when mixing numeric and enum conflicts, producing a misleading rationale. Instead, build the rationale from the original conflicts sequence, preserving (c.kind, c.key) pairs (e.g., by iterating conflicts directly or sorting a collection of (kind, key) tuples).

Comment on lines +273 to +280
"""Return all mutual-exclusion conflicts between two beliefs' slots.

Numeric conflict: same ``(key, unit)`` with values outside the
relative-tolerance band. Unit-mismatch is silent — different
units mean different scales and the comparator cannot adjudicate
without a unit-conversion table (out of scope).

Enum conflict: same ``category`` with different ``member`` values.

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suggestion: Docstring describes key+unit semantics that the implementation no longer models.

The implementation now treats numeric conflicts as keyed only by key, while the docstring still describes (key, unit) semantics and the extractor no longer handles units. This inconsistency could mislead future readers into assuming unit-aware behavior. Please either update the docstring to match the current behavior or restore explicit unit handling if that’s still required.

Suggested change
"""Return all mutual-exclusion conflicts between two beliefs' slots.
Numeric conflict: same ``(key, unit)`` with values outside the
relative-tolerance band. Unit-mismatch is silentdifferent
units mean different scales and the comparator cannot adjudicate
without a unit-conversion table (out of scope).
Enum conflict: same ``category`` with different ``member`` values.
"""Return all mutual-exclusion conflicts between two beliefs' slots.
Numeric conflict: same ``key`` with values outside the
relative-tolerance band (``numeric_rel_tol``). Units are not
interpreted or comparedany unit information present on slots
is ignored by this function.
Enum conflict: same ``category`` with different ``member`` values.

Comment thread docs/value_compare.md
Skip-on-no-corpus on public CI. Below-floor blocks the v3 default-on
flip; the operator decides whether to widen `ENUM_VOCAB`, tune
`DEFAULT_NUMERIC_REL_TOL`, or accept the precision/recall trade-off
under audit-only surface (`aelf resolve` style human-in-loop).

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suggestion (typo): Consider changing "human-in-loop" to the more standard "human-in-the-loop".

"Human-in-loop" reads like a typo and is uncommon; using the standard "human-in-the-loop" would improve clarity without changing the meaning.

Suggested change
under audit-only surface (`aelf resolve` style human-in-loop).
under audit-only surface (`aelf resolve` style human-in-the-loop).

@github-actions github-actions Bot added the attn:merge-conflict PR branch needs rebase label May 5, 2026
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github-actions Bot commented May 5, 2026

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This PR is now behind main. Rebase locally so your commit signatures stay intact:

git fetch origin && git checkout 'feat/issue-422-value-comparison-detector' && git rebase origin/main
# resolve conflicts if any, then
git push --force-with-lease

Auto-rebase was removed because the bot has no signing key; rebasing as the bot strips author signatures and the required_signatures rule on main then blocks the merge. See #341.

"""
from __future__ import annotations

import pytest
"""Unit tests for `aelfrice.value_compare` (#422)."""
from __future__ import annotations

import pytest
…or (#422)

Stdlib-only successor to #201's residual-overlap relatedness gate.
Extracts numeric (key, value) pairs and curated enum (category,
group_id, member) triples from belief prose; compares two beliefs'
slots and emits SlotConflict on mutual exclusion.

Numeric conflict: same key, different value (outside relative
tolerance). Enum conflict: same category, different group_id —
aliases within a group (sync ≡ synchronous, readonly ≡ read-only)
do not conflict. Initial taxonomy covers 9 categories tuned for
engineering / spec contradiction patterns; the dict is the single
source of truth and grows on bench evidence.

Deterministic, regex-only. No embeddings, no learned classifiers.
Wiring into relationship_detector + tests follow.
30 tests cover:
- numeric extraction (assignment, separator words, filler-key drop,
  negative/decimal/exponent, dedup, multi-kv)
- enum extraction (simple match, alias group_id collapse, hyphenated
  members, word-boundary integrity)
- comparator semantics (no-conflict on empty, numeric mismatch fires,
  within-tolerance silent, custom-tol override, enum group-disjoint
  conflict, alias pair no-conflict, default-state / completeness /
  access-mode categories, mixed numeric+enum)
- vocab integrity (groups pairwise disjoint within a category)
- determinism (byte-identical repeat, dataclass hash + round-trip)
…lue_comparison flag (#422)

analyze() and classify() gain a use_value_comparison kwarg. Default
False — preserves v1 behaviour byte-for-byte. When True, the typed-
slot gate runs before the residual-overlap floor; if any
mutual-exclusion conflict is found, verdict is contradicts at score
1.0 with rationale 'value_comparison:<kind>=<key>'. The slot match is
the relatedness signal — token overlap is bypassed by design (that's
the entire point of #422 vs #201's R2 floor).

9 integration tests pin: v1 backward compat (paraphrase pair still
unrelated), v3 catches numeric/enum paraphrase contradictions, v3
respects alias collapse + within-tolerance numerics, classify()
passes flag through, score pinned at 1.0 for slot-fire verdicts.
)

Re-runs the labeled adversarial corpus through the v3 flag-on path
(use_value_comparison=True). Computes confusion-matrix tp/fp/fn/tn
on the contradicts-vs-not axis and asserts both recall and precision
floors. Per #422 acceptance #2, calibrated against #201's R2 numbers
(recall 0.033 / precision 0.667). Skip-on-no-corpus + row floor of
30 contradicts-labeled rows for stable recall measurement.

Failure message surfaces both dimensions so the operator can see
which floor is gating without re-running.
Documents extractor + comparator surface (numeric slots, enum
vocab + alias groups, conflict semantics), integration via
relationship_detector use_value_comparison flag, determinism
guarantee, bench-gate location, and maintenance recipe (adding a
category, tuning numeric tolerance). Acceptance #5 of the issue.
@robotrocketscience
robotrocketscience force-pushed the feat/issue-422-value-comparison-detector branch from cfc5a2e to ddffc9c Compare May 5, 2026 16:44
@github-actions github-actions Bot removed the attn:merge-conflict PR branch needs rebase label May 5, 2026
@robotrocketscience
robotrocketscience merged commit ddffc9c into main May 5, 2026
20 of 21 checks passed
@robotrocketscience
robotrocketscience deleted the feat/issue-422-value-comparison-detector branch May 5, 2026 16:50
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feat(retrieval): semantic contradiction detector v3 — embedding / value-comparison shape

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