The DNA Dictionary

The completed reading's usable artifact is an engine-generated lexicon. For each of 26 curated loci it lists only the locked engine's mechanical read — γ, its R19 threshold scale (spinodal, barrier), GC, CpG density, and R19 bistability — spanning γ 1.264–1.444, all bistable. It is a Dictionary of reads, not traits; STATE, sign, dosage and timing are left to runtime.

A Dictionary entry is a gloss of one locus's mechanical Layer-1 read, in the spirit of a lexicon rather than an interpretation. Nothing is hand-assigned: every value is emitted by the same locked engine the paper uses, which re-derives human_SOX2 γ = 1.287315 every run, and the table has its own fail-closed gate — deterministic (two builds share one sha256) and baseline-pinned (every value matches the frozen regression to 1e-9 across all 26 loci). Because the reading of the readable layer is closed, a finite lexicon like this is possible at all.

An engine-generated lexicon of mechanical reads

26 curated loci, γ 1.264–1.444, every locus R19-bistable. human_ZRS reads γ 1.264 and snake_LMBR1 reads γ 1.290 — nearly the same γ — yet the limb enhancer is ON in one lineage and OFF in the other, so the table makes visible that γ is blind to on/off. γ sorts almost monotonically in GC (corr(γ,GC)=0.998).

The Dictionary is the usable proof that the reading is closed: a finite, enumerated table of every readable channel for each locus, generated mechanically and pinned to the locked truth. It glosses reads, not traits — on/off, sign, dosage and timing are runtime and are returned as such.

Grade: admissible (mechanical Layer-1 read; STATE/sign/dosage/timing runtime)

Canonical reproduction → repro/dna/15-dna-dictionary/

How the Dictionary is built

The generator reads each curated sequence, runs the locked dna_interpreter, and writes one row per locus: γ, GC, the R19 threshold scale (spinodal |h_sp| = (2/3√3)·γ^1.5 and barrier γ²/4), CpG density, and R19 bistability. STATE, sign, dosage and timing are not assigned — they are recorded as runtime. Two checks gate it, fail-closed: the build is deterministic (two runs share one sha256), and every reported value matches the frozen regression_baseline.json to 1e-9 for all 26 loci.

The lexicon (26 loci, sorted by γ)

locus (read)	γ	GC	spinodal \|h_sp\|	barrier γ²/4	CpG density	R19 bistable
human ZRS	1.2638	0.371	0.5469	0.3993	0.0070	yes
human IGF1	1.2804	0.392	0.5577	0.4099	0.0057	yes
human LMBR1 ZRS region	1.2813	0.391	0.5583	0.4104	0.0097	yes
human HMGA2	1.2863	0.396	0.5615	0.4136	0.0089	yes
human SOX2	1.2873	0.396	0.5622	0.4143	0.0108	yes
snake LMBR1 region	1.2904	0.398	0.5642	0.4163	0.0112	yes
elephant HMGA2	1.2930	0.402	0.5659	0.4179	0.0110	yes
elephant IGF1	1.2936	0.404	0.5663	0.4184	0.0081	yes
human PAX6	1.2954	0.405	0.5675	0.4195	0.0105	yes
mouse PAX6	1.3049	0.416	0.5737	0.4257	0.0096	yes
human OTX2	1.3080	0.416	0.5758	0.4277	0.0111	yes
mouse FOXA2	1.3193	0.431	0.5833	0.4352	0.0079	yes
human FOXA2	1.3221	0.429	0.5851	0.4370	0.0105	yes
mouse OTX2	1.3284	0.437	0.5893	0.4412	0.0115	yes
mouse SOX2	1.3386	0.447	0.5961	0.4480	0.0124	yes
human shh locus	1.3417	0.447	0.5982	0.4500	0.0146	yes
human POU5F1	1.3579	0.464	0.6090	0.4609	0.0142	yes
human SIX3	1.3586	0.465	0.6095	0.4614	0.0154	yes
mouse GSC	1.3606	0.470	0.6109	0.4628	0.0108	yes
mouse SIX3	1.3613	0.469	0.6113	0.4633	0.0140	yes
human GSC	1.3690	0.473	0.6165	0.4685	0.0142	yes
mouse POU5F1	1.3740	0.483	0.6199	0.4720	0.0112	yes
mouse NODAL	1.3826	0.490	0.6258	0.4779	0.0136	yes
human NODAL	1.3932	0.497	0.6330	0.4853	0.0157	yes
elephant IGF2	1.4334	0.535	0.6605	0.5137	0.0217	yes
human IGF2	1.4443	0.545	0.6681	0.5215	0.0240	yes

Every cell is an engine read, not a trait. The same-γ / opposite-state pair (human ZRS 1.264 ON-lineage vs snake LMBR1 1.290 OFF-lineage) is the boundary made visible in a single table: γ reads the material and the threshold, and is blind to on/off. The full per-locus JSON (including rest-basin |s| and the runtime flags) lives under repro/dna/15-dna-dictionary/expected/dictionary.json.