Developmental Lineage Order from γ

Developmental order is a γ readout. Ranking the four organs by ascending γ gives bone-marrow-haematopoiesis → spleen → thymus → lymphoid-adaptive; lower γ is a lower spinodal and therefore earlier emergence. The endpoints match cited embryology (haematopoiesis earliest, adaptive lymphoid latest), and all four γ are byte-exact verified against NCBI. Grade [V].

Ascending γ order is bone_marrow_hematopoiesis → spleen → thymus → lymphoid_adaptive, and the order is reproduced by an emergent shared-drive race (commit-h spacing = spinodal spacing). The earliest endpoint is robust; the spleen↔thymus middle pair is a weak emergent bias that washes out under noise — graded [O] for a measured reason. All four promoter windows are byte-exact verified against NCBI GRCh38.p14.

Order is a threshold, not a clock

The volume does not posit a developmental timetable. It reads order off the measured γ: the organ with the lowest spinodal can cross into existence under the weakest drive, so it emerges first.

The ascending-γ sequence places bone-marrow haematopoiesis first and adaptive lymphoid tissue last. Both endpoints agree with cited embryology — yolk-sac/AGM haematopoiesis is the earliest blood programme and PAX5-dependent adaptive memory is the latest to mature.

The order emerges from a shared-drive race (not a γ sort)

Ranking γ is just bookkeeping. To test whether the order is real, the four R19 switches are driven by one shared, slowly-rising morphogenetic field with independent cellular noise, and the drive value at which each organ commits (its state crosses the ridge) is measured from the dynamics. The emergence order that comes out is the ascending-γ order, and the measured spleen→thymus commitment spacing is 0.0213 — equal to the forced spinodal spacing 0.0211. The mechanism “lower spinodal commits earlier under a shared drive” is therefore confirmed dynamically, not assumed.

Honest middle, now quantified

The race also shows which orderings are real. Bone-marrow-haematopoiesis commits first in essentially every run (P=1.00) because its spinodal gap to the next organ is large (0.068). The spleen↔thymus pair has the smallest gap (0.021), comparable to the commitment jitter, so it is only a weak emergent bias (P(spleen<thymus)=0.88 at low noise) that washes toward a coin-flip as noise rises (0.88 → 0.61 → 0.48 across the noise scan). The middle pair is thus graded [O] for a measured, falsifiable reason — its separation-to-jitter ratio is ≈1.75 — not for lack of an embryology citation. The robust claims are the earliest endpoint and the direction; the fine middle ordering is honestly left open.

Primary-source provenance (NCBI)

The four γ values are not just cached numbers. Each proximal-promoter window (TSS−2000..+500, 2501 bp) was re-fetched live from the NCBI reference assembly GRCh38.p14 by its exact accession, coordinate window, and strand, then compared byte-for-byte against the shipped cache — all four match to the sha256, and γ recomputes identically. NCBI-Gene RefSeq independently corroborates that each gene is the master regulator for its organ (TLX1 “required for normal development of the spleen”; RUNX1 “involved in normal haematopoiesis”) and that every accession’s chromosome matches its map location.

master geneorganNCBI accessionmapγvs live NCBI
RUNX1bone marrow hematopoiesisNC_000021.921q22.121.3225✓ byte-exact
TLX1spleenNC_000010.1110q24.311.4228✓ byte-exact
FOXN1thymusNC_000017.1117q11.21.4533✓ byte-exact
PAX5lymphoid adaptiveNC_000009.129p13.21.4892✓ byte-exact

Verified 2026-06-18 against GRCh38.p14. The check is offline-reproducible (the frozen proof ships in inherited/ncbi_verification.json; the gate is inherited/ncbi_verify.py) and re-auditable online via ONLINE_reverify(). γ remains owned by the DNA volume (SSOT) and is verified here, never re-fitted.