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Iteration 34 โ€” ADMIT #7: IPP Distributional Invariance ADMIT (FOREX) ยท 27 SHAPE-SHIFTERS

In plain words: the shape-versus-average question got its answer, and it's emphatic. Both tests were run in exact lockstep โ€” same data, same folds, same shuffles โ€” differing only in what they look at: the average relationship (what every certified instrument sees) versus the whole predictive shape (what this candidate sees). The census found 27 features where the average relationship holds steady across all ten regimes while the prediction's shape visibly shifts โ€” and not marginally: on bid_ask_imbalance, the mean-test reads "steady" at evidence level ~3 while the shape-test screams "shifted" at level ~65,000. These are exactly the features a mean-based STABLE certificate would wrongly bless while their risk profile mutates regime to regime. Redundancy check: comfortable โ€” 0.76 at worst against the stack, near-zero against the ancestry dial. Seventh certificate issued: the stack can now see the tail-risk axis of stability. Notably, this candidate needed no rescue margins โ€” the cleanest admission since the regime counter.

Preflight (A0): 2026-07-12 โ€” load1 3.26/32c (โ‰ค24) ยท 16 GiB avail ยท CH + sidecar active ยท no heavy jobs โ†’ ALL PASS. One capped run (3.08 min), committed forex grid + sha-pinned cells, permutations of real rows only. Decision rule pre-registered in-script.

The paired probe (130 subjects, same rows, same permutations)

ReadingValueRuling
M3 worst correlation vs the admitted stack0.764 (vs seqICP n_acc) ยท 0.681 (vs e-ICP) ยท โˆ’0.05 vs IAS ancestry (orthogonal)CLEAR โ€” comfortable margin under 0.95
Discordance census (the role case)132 pairs ยท 27 features mean-invariant but shape-shifting; flagships: bid_ask_imbalance (e_ssr 2.3โ€“5.3 vs e_crps โ‰ˆ 65,000), bid_imbalance_ewma (e_ssr 0.5โ€“1.6 vs e_crps โ‰ˆ 120,000)NON-EMPTY, decisively โ€” the variance/tail axis is real on this substrate
Reverse discordance35 pairs (CRPS accepts where SSR rejects) โ€” reported for contextcontext
Verdict (row 43)ADMIT(forex, 10-env EURUSD@5 grid, role = distributional-invariance readout at the STABLE boundary โ€” detects predictive-shape shifts (variance/tails) invisible to mean-based instruments, expiry = next completed forex regime slice) โ€” ADMIT #7. Feed row H-019 consumed.

What the stack gains: a STABLE certificate can now distinguish "average holds AND shape holds" from "average holds while risk mutates" โ€” the 27 shape-shifters are a standing warning list for any future mean-based STABLE declaration on forex.

โ–ถ Next iteration

Iteration 34 ยท 2026-07-12 ยท ADMIT #7 (row 43) ยท capped ยท zero synthetic data ยท append-only ยท evidence: ipp_ladder_m3_discordance.py ยท ipp_ladder_m3_discordance_results.json