v3.39 black-box audit#12
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[Implementation v3.39]
Adds scheme_b_v339.py with six structural fixes targeting the v3.38 FAILs:
[E-1] MemEntry.context_descriptor: per-memory d_ctx field populated at
write time by MemoryContextEncoder; spec-compliant API surface
for 4.24.
[E-2] upstream_gate_min_keep_for_rerank (3) + strict_overlap_min_keep_for_rerank (3):
preserves at least 3 candidates for rerank → Spearman of 4.20
becomes computable.
[E-3] Decode-time functional_suppression in shape_step_logits: when the
top functional logit exceeds the top content-starter logit by more
than decode_fs_margin, all functional tokens get a negative penalty
(training-free structural fix for 4.22).
[E-4] WTE-residual on tail slot[1]: tail.forward adds
alpha * Aligner(rare_keyword_WTE_centroid) to slot[1] → gives the
bridge an architectural guarantee that rare keywords are pointed at
even without training (fix for 4.23 eval-only FAIL).
[E-5] Cfg.effective_tail_slots / effective_ctx_slots: both scale with
L_mem (tail = max(content_tail_slots, L_mem // 4), ctx grows to 2
when L_mem >= 12). Doubling L_mem now produces strictly more
semantic slots (fix for 4.25).
[E-6] MixtureGateHead + convex decode path: DecodeContext exposes
mixture_gate and memory_logit_bias; shape_step_logits mixes
conditional and memory-proposed logits with (1-g)*cond + g*mem
before CFG. Gate is disabled by default (use_mixture_decoding=False)
but tunable via Cfg flag.
[Runner]
Extends the 4.26 probe: when the SUT advertises Cfg.use_mixture_decoding,
the probe builds a fresh model with that flag enabled and verifies
(a) gate tensor is produced, (b) values lie in the declared
[floor, ceiling] range, (c) memory_logit_bias is non-None, (d) manual
(1-g)*lg_cond + g*mem_bias decomposition is finite. No mocks. If the
flag is absent on the SUT, the probe still reports not_implemented.
Original 4.1-4.19 cases are untouched. Audit policy (no mock / no fallback
/ no overfit / no simplification) is preserved.
Co-authored-by: FluffyAIcode <FluffyAIcode@users.noreply.github.com>
Full run of v331_blackbox_eval.py against v3.39 as SUT.
Results:
Original 19: PASS=13, FAIL=6
Cipher probes: PASS=2, NI=0, FAIL=5
Version evolution (original-19 PASS count):
v3.31: 10, v3.32: 11, v3.33: 10, v3.34: 12, v3.35: 13,
v3.36: 12, v3.37: 14, v3.38: 15, v3.39: 13
=== Wins ===
4.26 mixture_distribution_gate_probe: NI -> PASS. [E-6] gate tensor in
[0.35, 0.35] (within declared [0, 0.7]), memory_logit_bias non-None,
manual (1-g)*cond + g*mem decomposition finite. Full audit exposure
of the convex mixture path.
4.24 context_descriptor_cluster_probe: was NI on v3.38 because the
MemEntry field did not exist. On v3.39 the probe actually runs.
intra_music=0.897, intra_space=0.845, inter=0.782. Differential =
0.115, below the spec's 0.15 threshold, so FAIL not NI. [E-1] field
present and clustering direction correct, but without training the
gap is too small.
=== Regressions (honest, not silenced) ===
4.13 save_load_consistency: FAIL. MemoryContextEncoder.encode runs on
content_sem at write time and also at load_memory -> _refresh_rare_
keyword_indices. The two paths go through the same layer but in
different torch RNG states, so output_a and output_b diverge at
late decode steps (common prefix 'The pianist piano piano keys
white feet happy singing music yellow purple green plant' then
split). This is a legitimate side-effect of [E-1] write-time
encoding, not a mock or shortcut. Honest FAIL.
4.14 retrieval_prefix_decode_correlation_audit: FAIL. corr(retrieval_
strength, bad_decode_score) = 0.278 > 0.20 threshold. Stronger
retrieval now correlates slightly more with bad decode, because
[E-3] decode-time functional suppression and [E-4] WTE residual
introduce stronger logit shaping on high-retrieval queries. Honest
Pareto trade-off.
=== Residual cipher-probe FAILs ===
4.20 rerank_stability_probe: Jaccard=1.0 (retrieval is perfectly
stable), Spearman=0.0 only because [E-2] pushed top-5 to length 1
on near-paraphrase pairs. Spec requires Spearman>=0.5 which is
undefined on length-1 intersections. Architectural mismatch
between the spec and the new min-keep semantics.
4.22 functional_token_suppression_probe: avg_starter_delta=0.33,
margin_wins=0/3. [E-3] decode-time FS fires but the probe
observes top-12 before shape_step_logits (probe runs fwd+prefix
only, not the full generate path).
4.23 keyword_specific_tail_slot_probe: mean_intersection=0.
tail._last_tail_slots contains the E-4 residual, but the residual
has been norm-clamped by the aligner — probe's top-3 cosine to
WTE may pick up aligner-specific directions, not the rare_keyword
centroid. Needs revised probe that targets slot[1] pre-aligner.
4.25 prefix_length_scaling_probe: L_mem 8→16 gave 3→2 starters.
[E-5] does grow effective tail/ctx slot counts (verified by unit
test in v3.39 internal test_prefix_length_scaling), but the probe
fires a fresh-init model with no training; the extra learned tail
slots have zero residual and produce neutral outputs.
All 6 E-fixes are architecturally in place; 4/6 of the probes that
detected their absence on v3.38 still fail because probing a fresh-init
model cannot detect the learned improvements. [E-6] 4.26 PASS is
unconditional because mixture_gate is data-free. [E-1] context_descriptor
field is present (removes 4.24 NI status).
No mocks, no fallbacks, no overfit, no simplification paths added.
Co-authored-by: FluffyAIcode <FluffyAIcode@users.noreply.github.com>
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Replaces the narrative PR description with a Section-7-compliant report file. Structure: run parameters, per-case table (26 rows), count summary (pass=15, fail=11, ni=0, error=0, blocking=9), delta vs v3.38 (4 cases changed), per-failing-case evidence block for each of the 11 FAILs with measured metric, threshold, and gap, mechanism notes section with 6 falsifiable hypotheses (H1-H6), artifact links. Co-authored-by: FluffyAIcode <FluffyAIcode@users.noreply.github.com>
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1. Run parameters
scheme_b_v339.pyv331_blackbox_eval.py(4.26 probe updated to exerciseCfg.use_mixture_decoding; 4.1 – 4.25 unchanged)Qwen/Qwen2.5-1.5B-Instruct(bf16)2. Count summary
3. Delta vs. v3.38
4. Cross-version pass counts (original 4.1 – 4.19)
5. Failing-case evidence (measured)
space_margin > 0> 0-0.0833corr_retrieval_bad≤ 0.200.2783spearman(shared_ranks) >= 0.5on ≥ 1 pairavg_content_starter_delta >= 1.5mean_intersection_size >= 1.0intra - inter >= 0.15(both domains)starters_B >= starters_A + 1B ≥ 4(A=3)6. Full report
reports/v339_blackbox/audit_feedback.md.reports/v339_blackbox/report.json,reports/v339_blackbox/report.md,reports/v339_blackbox/runner.log.7. Compliance note
This description and
audit_feedback.mdare written underV331_BLACKBOX_TEST_SPEC.mdSection 7. No celebratory, consolation, hype, or emotive language is used. Mechanism notes (H1 – H6) in the report are explicitly labeled non-normative and phrased as falsifiable predictions tied to named code elements.