arborist/bench/fixtures
russell@unturf.com 7b1a57ade9
#000052 §3.2.2 step 3: real-context deflection fixtures (n=20) — verdict REVERSES: bge-large catches 55% of real deflections at strictly 0% real-STRICT FP, MiniLM-L-6 catches 65% at 0.4% FP. Runtime soft-veto IS viable.
Built bench/fixtures/5f/relevance-deflection-realcontext-v1.jsonl —
20 hand-crafted deflection answers against real bench-qa questions
(each: coherent well-formed answer using context-tokens, but NOT
addressing the question — the kind of failure §3.2 was built for).

Real-context deflection scores (cleaned, MiniLM-L-6):
  min -6.71, median +1.56, max +6.34
Real-context deflection scores (cleaned, bge-reranker-large):
  min -5.57, median -3.02, max +5.01

vs STRICT (cleaned):
  MiniLM-L-6: min -5.29, p10 +6.90, median +9.32
  bge-large:  min -2.42, p10 +3.56, median +6.48

Distributions are CLEAN-separable on real data — 0% of MiniLM
deflections score above p10(STRICT); bge-large median is -3.02 vs
STRICT median +6.48.

Pareto frontier (MiniLM-L-6, cleaned):
  θ=-5.29: catch 10% / fp 0%      (fp=0 floor, low signal but safe)
  θ=+3:    catch 65% / fp 0.4%    ← strong runtime soft-veto
  θ=+5:    catch 90% / fp 1.9%    ← aggressive soft-veto
  θ=+7:    catch 100% / fp 10.4%  (too FP for runtime)

bge-reranker-large:
  θ=-2.42: catch 55% / fp 0%      ← VIABLE runtime soft-veto at strict fp=0

The step-2 'NOT VIABLE' verdict was an artifact of using the
candidate-bench NEG distribution (tight contrived band, overlapped
real STRICT) as the recall denominator. Real-context deflections sit
in a much lower band (median around -3 for bge-large) than real
STRICT, so absolute thresholds DO separate them cleanly. The
relevance reranker IS a viable runtime soft-veto on this design —
the candidate-bench-only step 2 measurement misled us.

Manifest's runtime_viability.as_runtime_demotion_veto flipped from
'NOT VIABLE' to 'VIABLE at low-to-moderate FP', with both per-model
Pareto frontiers recorded. demote_below_score stays null pending
fox+dav1d sign-off; setting it folds relevance_policy_hash into
governance_policy_hash per #000049 §7 #2 discipline.

Still SHADOW; production verifier unchanged; no audit_mode effect.
Eighth instance of the meta-lesson, with the lesson sharpening AGAIN:
clean candidate-bench can MIS-PREDICT in BOTH directions — over-
optimistic on threshold (step 2) AND over-pessimistic on viability
(step 3 reversal). Real-data fixtures are the only load-bearing
denominators on either axis.
2026-05-13 15:11:27 -04:00
..
5f #000052 §3.2.2 step 3: real-context deflection fixtures (n=20) — verdict REVERSES: bge-large catches 55% of real deflections at strictly 0% real-STRICT FP, MiniLM-L-6 catches 65% at 0.4% FP. Runtime soft-veto IS viable. 2026-05-13 15:11:27 -04:00
5r fan-out: code-py-ast graduation + 5R live + 5F fixture expansion + CI gate 2026-05-08 08:59:31 -04:00
5s ticket #000032: combinatorics@v1 π* (pure-integer counting kernel) 2026-05-09 13:20:29 -04:00
5t bench: land #000023 + #000024 + #000025 (Phase 1a/1b — Dav1DPrometheus suite) 2026-05-07 20:14:44 -04:00
phi-alignment ticket #000034 Phase 1a: φ_linear alignment probe + KAT fixture 2026-05-10 10:23:38 -04:00
phi-prg ticket #000036: add KAT-regen tooling + close 2026-05-11 08:02:25 -04:00
t3-bound ticket #000036: add KAT-regen tooling + close 2026-05-11 08:02:25 -04:00
textbooks Grinstead-Snell ingest + cascade tuning batch: 68 -> 77/92 (84%) 2026-05-10 08:03:11 -04:00
real-shard-baseline-v1.jsonl #000026 Phase 2: real-shard baseline + lazy concept loading 2026-05-08 13:10:58 -04:00