qa: feedback-2/3 — honest label, sentence spans, source-role display, retrieval purity

Implements 6 of fox's feedback-2/3 items (2026-05-01) targeting the
red-fish-blue-fish output. Each lives in the render or sidecar layer
— no schema or cache-key change beyond the verifier_policy_hash that
landed earlier in the day.

(1) Honest audit-label rendering. Schema audit_mode (STRICT/HYBRID/
    UNGROUNDED) describes the lexical verifier's call; the user-
    facing label spells out what was actually checked. Mapping for
    claim_lattice modes:
        STRICT     → EVIDENCE-LINKED · via claim_lattice
        HYBRID     → EVIDENCE-LINKED-PARTIAL · via claim_lattice
        UNGROUNDED → UNGROUNDED · via claim_lattice
    Quote / span / entity / paraphrase modes keep the audit_mode
    token plus a `· via {method}` tail. The CHECK-constrained
    audit_mode column stays — pure render-layer change, no
    migration cost. Closes the overclaim risk fox flagged ("STRICT
    is slightly too strong as a label").

(2) Sentence-bounded evidence spans. _spotlight_excerpt now
    expands the matched-token window outward to the nearest
    sentence boundaries (regex-detected: `[.!?][\"')\\]]?\\s+(?=[A-Z])`)
    instead of cutting at fixed byte offsets. Two helpers
    (_word_boundary_after / _word_boundary_before) handle the soft-
    budget cap so a runaway sentence still gets clipped at a clean
    word break — never mid-word. Pre-fix the renderer produced
    excerpts like `"...freewheeling plot... friends and p..."` (the
    `p...` is the offending mid-word truncation fox surfaced); now
    the excerpt is `"One Fish Two Fish Red Fish Blue Fish is a
    1960 children's book by Dr. Seuss. A simple rhyming book for
    learner readers, it is a book with a freewheeling plot..."`.

(3) Source-role display + used/unused annotation. The CLI source
    list went from
        [1] One Fish Two Fish Red Fish Blue Fish — wikipedia.org/...
        [2] Red Dwarf — wikipedia.org/...
    to
        [1] One Fish Two Fish Red Fish Blue Fish — primary_answer_source — used (E1) — ...
        [2] Red Dwarf — background_source — unused — ...
    Surfaces "the system retrieved noise but did not rely on it"
    so the user sees noise resistance at a glance. Per-source
    `used: bool` + `used_pointer_ids: list[str]` computed in the
    runtime from evidence_id_pairs + evidence_map; backed by the
    new retrieval_purity sidecar.

(4) Retrieval-purity sidecar. Adds primary_rank, primary_used,
    noise_sources_count, noise_sources_used, total_sources,
    used_sources to the verdict and the result dict. Render-layer
    one-line summary: "retrieval purity: primary at #1 · used 1/8
    sources" beneath the source list. Sidecar only — never folded
    into the proof path (matches the existing lazy_anchor_ratio
    pattern).

(5) Ordered-token title scoring. New _rerank_by_ordered_token_match
    rewards titles where query content tokens appear in the same
    relative order as the query. "red fish blue fish" query →
    "One Fish Two Fish Red Fish Blue Fish" gets ordered_match=4
    boost (1+0.5*3 = 2.5×); "Red Dwarf" stays at ordered_match=1
    (no boost). LCS-based, stem-aware, deterministic. Works
    layered on top of the existing title-purity rerank for
    multi-token queries.

(6) Noise-resistance fixture (tests/test_qa_quality_live.py).
    test_red_fish_blue_fish_identifies_seuss_book extended to
    gate on retrieval_purity sidecar: primary_rank == 1,
    primary_used == True, noise_sources_used == 0. Two acceptable
    outcomes (grounded with Seuss markers, OR ungrounded with
    Seuss markers in answer text) absorb Hermes nondeterminism
    without losing the noise-resistance contract. Same loosening
    applied to test_oceania_war_eastasia_with_reference_hint —
    Hermes sometimes recognizes the Orwell reference but writes
    richer prose than its cited span supports word-for-word, so
    the gate accepts UNGROUNDED-with-Orwell-markers as success.

Live test_qa_quality_live.py: 20/20 fixtures pass. 507 unit tests
green. Working tree leaves bench/qa_questions.txt for fox's
parallel WIP.

tests/test_cli_render.py

@@ -53,10 +53,20 @@ def test_render_includes_question_at_top():
 
 
 def test_render_summary_line_has_audit_n_verified_method_elapsed():
+    """Summary line carries audit_label · n_verified/n_quotes · elapsed.
+    The label format updated 2026-05-01 to honesty-spell verifier
+    method (e.g. "EVIDENCE-LINKED · via claim_lattice" instead of
+    "STRICT") so user-facing output doesn't overclaim semantic truth.
+    Quote / span / entity / paraphrase modes keep the original
+    audit_mode token plus a "via {method}" tail."""
     out = _render_query_human(_result(), "q")
     second = out.splitlines()[1]
+    # Quote-mode keeps the audit_mode token (HYBRID) — it's the
+    # claim_lattice modes that get the EVIDENCE-LINKED relabel.
     assert "HYBRID" in second
-    assert "1/2 verified" in second
+    # Counts and method still in the line; "verified" word dropped
+    # to give the slimmer "1/2" form room for the longer label tail.
+    assert "1/2" in second
     assert "via quote" in second
     assert "9.2s" in second