DELTA II  measurement paperBand signatures

Band-specific sequence signatures of conditional excess under mass deficit
in accelerated Collatz trajectories

A measurement of which sequences carry the reverse-sign discrepancy — not an account of why.

Abstract We compare observed accelerated Collatz trajectories ("actual") against a structureless surrogate in which the per-step valuation word is resampled independently ("iid word"). On a remaining_K coordinate partitioned into dyadic bins, three adjacent downward transitions show the same reversal: the from-bin carries less actual mass than the surrogate predicts, yet trajectories occupying that bin pass downstream more often in the actual ensemble. We call this co-occurrence of mass deficit and conditional excess a paradoxical configuration, as an observational label only. The conditional excess appears concentrated in a small number of sequence-level signatures. The clearest instance, 64-95 → 32-63, is carried by START_IN_LAYER with transition_k=1 and pre_k_window_3=1,1,1 (the A signature). A band-by-band map finds the configuration shared but the signature band-specific. Projected onto integer coordinates, the A signature leaves a weak, multivariate, reproducible integer-side shadow that no single coordinate explains. As an external benchmark, a substantial fraction of Rozier–Terracol Appendix C paradoxical integers map onto the A signature. We make no causal or mechanistic claim; the contribution is a localization-and-correspondence map.
Contents
  1. Introduction
  2. Related work
  3. Data and null model
  4. Operational definitions
  5. The remaining_K chain: mass deficit with conditional excess
  6. Paradoxical sequences: sequence-level carriers
  7. Band Signature Map
  8. Integer-side projection
  9. Matched control
  10. Discussion
  11. Limitations
  12. Conclusion
  13. Appendix A — Rozier–Terracol overlay
  14. Suggested figures and tables

01  IntroductionBand signatures

1. Introduction

A companion study located a difference between observed Collatz trajectories and a structureless null model on a remaining_K chain. This paper takes that located difference as given and asks the next, narrower question: which sequences carry it?

The object of study is a difference signal, written informally actual − iid, between two ensembles. The first is the ensemble of observed accelerated Collatz trajectories within a sampled universe of integers. The second is a surrogate ("iid word") ensemble obtained by resampling the per-step valuation word independently from a fixed marginal, which removes sequential structure while preserving the marginal. The difference between the two is the quantity we localize and decompose throughout.

Our central observation is a sign reversal. On the remaining_K chain, the observed ensemble places less mass in certain from-bins than the surrogate does; yet conditioned on occupying such a bin, the observed ensemble transits downstream more often than the surrogate does. Mass placement and local transition strength move in opposite directions. We use the term paradoxical for this configuration as a label only, with no implication of contradiction or mechanism.

The paper proceeds by sharpening this observation step by step: establish the reversal on three transitions (§5); decompose the conditional excess into sequence-level carriers, finding the cleanest example at 64-95 → 32-63 (§6); map the carriers across bands and find the structure shared but the signature band-specific (§7); project the signature onto integer coordinates and find a weak reproducible shadow (§8) that survives only jointly-controlled matching (§9). An external benchmark overlay is reported as Appendix A.

Stance Throughout, we restrict ourselves to observational language: we observe, we find, is concentrated in, is carried by, is consistent with, does not imply. We do not write because, mechanism, or proof.
02  Related workBand signatures

2. Related work

The accelerated Collatz map and parity-vector descriptions of trajectories are classical tools, and the statistical behavior of stopping times has a long literature. Our null model is in the spirit of comparing observed valuation words against an independent baseline.

The most directly relevant external reference is the work of Rozier and Terracol on paradoxical behavior in Collatz sequences (arXiv:2502.00948), which enumerates starting integers whose accelerated trajectories exceed their initial value after the stopping time, and a subsequent analysis by Niu of parity vectors and paradoxical sequences in the accelerated map (arXiv:2605.13886). We stress that the Rozier–Terracol notion of "paradoxical" — overshoot of the initial value past the stopping time — is defined differently from the configuration studied here, which concerns a mass-deficit / conditional-excess split on a remaining_K chain. We use the Rozier–Terracol enumeration only as an external benchmark (Appendix A) and do not assert that the two notions describe the same phenomenon.

03  Data and null modelBand signatures

3. Data and null model

The analysis universe is a sampled ensemble of long accelerated Collatz words defined on a final-state-conditioned population of integers, identical to the universe used in the companion localization study. The ensemble is sampled rather than exhaustively enumerated; this is recorded explicitly as a limitation (§11).

ActualObserved accelerated Collatz trajectories of integers in the sampled universe.
iid word (surrogate)Independent valuation words from the pipeline's tilted marginal; removes sequential structure, preserves the marginal. Constructed in §4.9.

All quantities reported below — from mass, pass rate, conditional delta, pass share, and support — are computed in matched form on these two ensembles. The operational forms of every coordinate are fixed by the analysis pipeline and stated in §4. Support denotes a weighted occurrence support; cells with weighted support below 0.002 are flagged as low-support and treated as candidates rather than claims.

04  Operational definitionsBand signatures

4. Operational definitions

All quantities are defined on finite valuation words and follow the operational forms fixed by the analysis pipeline. For an odd integer trajectory under the accelerated Collatz map, let

\[ x_{t+1} = (3x_t + 1)/2^{k_t}, \qquad k_t = v_2(3x_t + 1), \]

and let the associated valuation word be \( w = (k_0, k_1, \ldots, k_{\tau-1}) \). For sampled actual integers, this word is obtained by tracing the accelerated odd trajectory until the escape condition used in the sampling pipeline. For iid controls, the word is drawn from the iid valuation-word model of §4.9.

4.1 remaining_K

For a valuation word \(w\), define the total valuation mass \( K_\tau = \sum_{t=0}^{\tau-1} k_t \). At occurrence position \(t\), the remaining \(K\)-mass before applying \(k_t\) is

\[ R_t = K_\tau - \sum_{iThe reported remaining_K coordinate is \(R_t\).

4.2 remaining_K bins

The bins are half-open intervals; a transition A → B occurs at position \(t\) when \(R_t\) lies in bin A and \(R_{t+1}\) lies in bin B.

0-1      : 0   <= R < 2
2-3      : 2   <= R < 4
4-7      : 4   <= R < 8
8-15     : 8   <= R < 16
16-31    : 16  <= R < 32
32-63    : 32  <= R < 64
64-95    : 64  <= R < 96
96-127   : 96  <= R < 128
128-191  : 128 <= R < 192
192+     : 192 <= R

4.3 transition_k

For a transition occurrence at position \(t\), transition_k is the valuation step \(k_t\). In capped pattern summaries, values greater than \(2\) are reported as 3+; in exact event tests such as the A signature, transition_k=1 means \(k_t = 1\) exactly.

4.4 pre_k_window_3 and local windows

For a transition occurrence at position \(t\), \( \texttt{pre\_k\_window\_3} = (k_{t-2}, k_{t-1}, k_t) \), truncated at the start of the word when \(t<2\). pre_k_window_5 is the length-5 analogue. Pattern tables cap entries greater than \(2\) as 3+. The local_rolling_k_window_4 is the set of length-4 valuation windows whose index range contains the occurrence \(t\), subject to the word boundary; local_rolling_k_window_3 is the length-3 analogue.

4.5 entry route

For each remaining_K bin, let \(s\) be the first position whose pre-step remaining_K value lies in that bin. An occurrence at position \(t\) in that bin has entry route START_IN_LAYER if \(s=0\), and otherwise INFLOW_FROM_<previous bin>, where the previous bin is the bin at position \(s-1\).

Definition note START_IN_LAYER means the word begins inside that remaining_K layer. It does not mean the occurrence is the first occurrence in the layer; an occurrence may carry the START_IN_LAYER route while not being the first entry event of its trajectory into the layer.

4.6 pass and stay

For a target transition from bin \(A\) to bin \(B\), an occurrence starting in bin \(A\) is pass if its post-step bin is \(B\), and stay if its post-step bin is still \(A\). Other exits are excluded from the pass/stay conditional comparison.

4.7 A signature

The canonical A signature is an occurrence-level condition; all conditions must hold on the same transition occurrence.

from_bin       = 64-95
to_bin         = 32-63
entry_route    = START_IN_LAYER
transition_k   = 1
pre_k_window_3 = 1,1,1

4.8 focus_state

focus_state is a composite state label fixed by the pipeline; the specific state attended to here is late_growth|deep_32_63|even.

4.9 actual and iid word samples

The actual sample consists of accelerated Collatz valuation words generated from sampled odd integers in the specified power/layer ranges of the pipeline. The iid control sample consists of independent valuation words generated by drawing valuation steps from the tilted valuation distribution used in the pipeline and stopping when the accumulated log-position crosses the layer escape threshold. Each iid word carries the Monte Carlo weight assigned by the sampling procedure.

4.10 Weighting and derived statistics

Sequence-level tables are occurrence-weighted unless otherwise stated. Integer-side projection tables report the associated integer support separately, because a single integer may contribute more than one qualifying occurrence. from mass is the weighted mass placed in a from-bin; pass rate is the conditional probability of passing given occupancy; conditional delta is actual pass rate − iid pass rate; mass delta is actual from mass − iid from mass; pass share is the share of total pass mass attributable to a sub-population.

4.11 Paradoxical configuration (observational label)

A from-bin exhibits the paradoxical configuration when mass delta < 0 (mass deficit) and conditional delta > 0 (conditional excess) hold simultaneously. The term is used as an observational label only.

05  The remaining_K chainBand signatures

5. The remaining_K chain: mass deficit with conditional excess

We examine three adjacent downward transitions and report, for each, the from-bin mass in both ensembles, the conditional pass rates, and their differences.

Table 1. The reverse-sign chain. Mass Δ and conditional Δ carry opposite signs in all three transitions.
transitionmass Δactual passiid passconditional Δsupport
96-127 → 64-95−0.013060.176510.16743+0.009070.0503
64-95 → 32-63−0.075230.116250.10839+0.007860.6081
32-63 → 16-31−0.180210.106220.10160+0.004624.0993

In all three transitions the from-bin is thinner in the actual ensemble than in the surrogate, while the conditional pass rate is higher in the actual ensemble. Mass placement and local transition strength carry opposite signs; this is the paradoxical configuration we decompose.

The three transitions are not equally read. The conditional excess is numerically largest at 96-127 → 64-95, but that transition has by far the smallest support, and its leading sub-patterns are dominated by low-support cells. The mass deficit grows monotonically down the chain and is most stably measured at 32-63 → 16-31. The transition 64-95 → 32-63 sits in the middle: a clearly negative mass delta, a positive conditional delta, and adequate support. We therefore treat 64-95 → 32-63 as the primary object of decomposition, 32-63 → 16-31 as secondary, and hold 96-127 → 64-95 as provisional.

06  Paradoxical sequencesBand signatures

6. Paradoxical sequences: sequence-level carriers

Having established the reversal, we ask whether the conditional excess is spread evenly across trajectories or concentrated in particular sequence-level signatures. We compare four groups within each from-bin: actual pass iid pass actual stay, iid stay.

6.1 Entry-route decomposition of 64-95 → 32-63

Splitting the cleanest transition by entry route is the single most informative cut.

Table 2. Entry-route decomposition. The conditional excess is concentrated in START_IN_LAYER.
routemass Δconditional Δpass share (actual)support
ALL−0.07523+0.007861.0000.6081
START_IN_LAYER−0.03703+0.004300.8940.4414
INFLOW_FROM_96-127−0.03820−0.000590.1060.1667

The conditional excess is concentrated in START_IN_LAYER. The inflow route carries a comparable from-mass deficit but a slightly negative conditional delta; it does not carry the excess. We therefore read the configuration not as "the actual ensemble falls downstream more readily" in general, but more specifically as "trajectories that begin in the 64-95 bin fall downstream more readily in the actual ensemble." This is one increment of information beyond the raw conditional delta.

6.2 Pattern concentration within START_IN_LAYER

Within START_IN_LAYER, the strongest positive pass-side concentrations are short and all-1: transition_k=1 (pass-share delta +0.0434), pre_k_window_3=1,1,1 (+0.0238), local_rolling_k_window_3=1,1,1 (+0.0130), local_rolling_k_window_4=1,1,1,1 (+0.0119), all at adequate support. The joint cells sharpen this further.

Table 3. Joint-cell conditional deltas. The A signature is the first row.
joint cellconditional Δsupport
transition_k=1 & pre_k_window_3=1,1,1+0.029540.0626 (ok)
transition_k=1 & local_rolling_k_window_4=1,1,1,1+0.028820.0876 (ok)
transition_k=1 & pre_k_window_5=2,1,1,1,1+0.095980.0076 (ok, small)

The counter-patterns — transition_k=2, pre_k_window_3=1,1,2, pre_k_window_3=1,1,3+, local_rolling_k_window_4=2,1,1,1 — are depleted on the actual pass side, all at adequate support, and read mostly as iid-enriched pass patterns or actual-stay-enriched patterns rather than support artifacts. They are essentially the complement of the positive component, which we take as evidence that the concentration is structural rather than noise.

Reading The conditional excess of 64-95 → 32-63 is carried by START_IN_LAYER trajectories with transition_k=1 and short all-1 local context, most readably pre_k_window_3=1,1,1 and local_rolling_k_window_4=1,1,1,1. We refer to this joint configuration as the A signature. This supports treating 64-95 → 32-63 as the cleanest paradoxical transition.

6.3 Focus-state check

We attended to the composite state late_growth|deep_32_63|even. For 64-95 → 32-63 this state shows a positive conditional delta (+0.00204, ok support) concentrated in START_IN_LAYER, consistent with the overall reading. For 32-63 → 16-31 the same state shows a smaller, route-split signal. The focus state does not introduce a qualitatively different structure; it is consistent with, but not sharper than, the route- and pattern-level decomposition.

07  Band Signature MapBand signatures

7. Band Signature Map

We next ask whether the A signature is specific to 64-95 → 32-63 or whether the other bands present the same face. For each transition and route we rank positive pass-side concentrations under a fixed template.

64-95 → 32-63 · all-1 faceLeading carriers transition_k=1, pre_k_window_3=1,1,1, local_rolling_k_window_3=1,1,1, all at adequate support. The cleanest face.
32-63 → 16-31 · k=2 faceLeading carriers move to transition_k=2, pre_k_window_3=1,1,2, pre_k_window_5=1,1,1,1,2. Genuinely not the all-1 signature, and somewhat more diffuse.
96-127 → 64-95 · provisionalVisible candidates (local_rolling_k_window_3=1,2,2, 2,1,1) but small total support and many low-support sub-patterns.

The cross-band reading is twofold. First, the bands do not share one identical signature; the common element is the type of configuration — concentrated conditional excess under mass deficit — rather than a single carrier. Second, the 64-95 → 32-63 all-1 face is the cleanest, 32-63 → 16-31 is a distinct transition_k=2 face, and 96-127 → 64-95 is too low-support to classify with confidence. We therefore describe the bands as exhibiting band-specific faces of a common paradoxical configuration, rather than a single universal signature.

A measurement caution is carried in the map itself: narrow joint cells can report large conditional deltas simply because they are narrow. The map distinguishes readable carriers (adequate support, stable across the template) from top joint cells (largest conditional delta, possibly narrow), and we read the former rather than the latter.

08  Integer-side projectionBand signatures

8. Integer-side projection

We project the 64-95 → 32-63 A signature back onto integer coordinates and ask whether actual integers carrying the signature are biased in integer space. This is a bias check on a correspondence, not a property claim about integers. We form four occurrence-weighted groups of actual integers, all within START_IN_LAYER at the 64-95 bin: A (signature pass), B (non-signature pass), C (signature stay), D (non-signature stay).

8.1 Scale

Table 4. Scale by group. Signature-pass integers sit at slightly lower log2(n).
groupmean log2(n)median log2(n)
A — signature pass21.43121.560
B — non-signature pass22.32522.327
C — signature stay21.92921.893
D — non-signature stay22.21122.189

The signature-pass group sits at slightly lower log2(n): the A-vs-B mean shift is −0.894 (median −0.766), and the A-vs-C mean shift is −0.498 (median −0.333). Within the same bin and route, integers carrying the signature are observed at somewhat smaller scale.

8.2 Residue and prefix structure

The A group is enriched, relative to the other groups, in the maximal-residue classes: mod 8 residue 7 leads (≈0.382), mod 16 residue 15 (≈0.261), mod 32 residue 31 (≈0.179), mod 64 residue 63 (≈0.097). Correspondingly, the leading parity prefixes are all-1 (1111, 111111) and the leading valuation prefix is 1,1,1,1. These are the integer-coordinate images one would expect of a transition_k=1 / all-1 sequence signature.

Reading The readable 64-95 → 32-63 sequence signature is observed to project onto a slightly lower log2(n), onto 2^k − 1 residues, and onto all-1 prefixes. We call this the integer-side shadow. We do not assert that the signature arises from a property of the integer; small-support cells are candidates only.
09  Matched controlBand signatures

9. Matched control

A shadow alone does not distinguish "the sequence signature predicts pass beyond its integer image" from "the sequence signature is merely the image of an integer-side coordinate." We match A against control groups sharing its integer-side coordinates and ask whether the signature still separates pass from stay after matching.

Table 5. Matched control. Single coordinates do not survive; joint controls and exact valuation prefix do.
matched onsig. passnon-sig. passΔenrichmentreading
log2_floor0.12930.1352−0.00590.956weak / not supported
mod160.12530.1407−0.01540.890weak / not supported
mod320.12660.1405−0.01390.901weak / not supported
mod640.12930.1409−0.01160.918weak / not supported
parity_prefix_40.12530.1407−0.01540.890weak / not supported
parity_prefix_60.12930.1409−0.01160.918weak / not supported
valuation_prefix_1111_indicator0.12260.1389−0.01630.883weak / not supported
valuation_prefix_4_exact0.14470.1361+0.00861.063survives
log2_floor + mod32 + parity40.14990.1373+0.01251.091survives
log2_floor + mod32 + parity60.17050.1361+0.03441.253survives
log2_floor + mod64 + parity40.17050.1361+0.03441.253survives
log2_floor + mod64 + parity60.17050.1361+0.03441.253survives

The reading is a qualified yes. No single integer-side coordinate — log2(n), any single residue modulus, or any single parity prefix — accounts for the signature; matched on any one of these, the matched delta is negative. The signature does survive exact matching on the full length-4 valuation prefix, and it survives the supported combined controls that hold log2(n), a residue modulus, and a parity prefix simultaneously. We conclude that, in this sampled matched comparison, the integer-side shadow does not fully explain the A signature, but the surviving signal is joint-coordinate dependent rather than a one-dimensional residue or scale effect. We make no claim beyond predictiveness after the listed controls.

10  DiscussionBand signatures

10. Discussion

The measurements assemble into a single descriptive chain. A difference between observed trajectories and a structureless surrogate, previously localized to a remaining_K chain, takes the form of a sign reversal: mass deficit with conditional excess. The excess is not diffuse; it is concentrated in a small number of sequence-level signatures. The clearest carrier, at 64-95 → 32-63, is a compact joint signature — START_IN_LAYER, transition_k=1, all-1 local context — which we have called the A signature. Across bands the configuration is shared but the signature is not: each band has its own face. Projected onto integer coordinates, the A signature leaves a weak but reproducible shadow, and that shadow is multivariate: it resists explanation by any single integer-side coordinate yet persists under joint control.

What these statements are not They are not a mechanism. We do not claim that remaining_K causes the discrepancy, that an integer property generates the signature, or that any latent structure underlies the correspondence. The chain is a localization-and-correspondence result: it identifies where the reverse-sign phenomenon lives at the sequence level and how it projects onto integers, under stated controls and within a sampled universe.

The external benchmark (Appendix A) is consistent with the A signature marking a broad corridor rather than an isolated cell: a substantial fraction of an independently defined set of paradoxical starting integers maps onto it, and the non-mapping integers are mostly one condition away from it. We read this as the A signature occupying a canonical face of the corridor — a representative, not a unique, carrier — and we do not infer sameness of phenomenon from overlap.

11  LimitationsBand signatures

11. Limitations

12  ConclusionBand signatures

12. Conclusion

We have reported, in observational terms, that observed accelerated Collatz trajectories and a structureless surrogate differ on a remaining_K chain in a sign-reversing way — mass deficit together with conditional excess — and that the conditional excess is concentrated in a small number of band-specific sequence signatures. The cleanest carrier is the 64-95 → 32-63 A signature. The signature leaves a weak, multivariate, reproducible integer-side shadow that no single integer coordinate explains. An external benchmark overlaps substantially with the signature without being identical to it. The result is a map of where the reverse-sign phenomenon is carried and how it corresponds to integer coordinates; it is not an explanation, and is offered as a measurement.


A  AppendixExternal benchmark

Appendix A. Rozier–Terracol external benchmark overlay

A.1 Purpose and benchmark set

We overlay the Rozier–Terracol Appendix C acyclic paradoxical starting integers (arXiv:2502.00948) on the remaining_K coordinate system and the 64-95 → 32-63 signature, as an external benchmark only. Extraction reproduces 593 Appendix C occurrences and 550 distinct starting integers, of which 40 appear in multiple (j,q) groups; the odd/even split is 294 / 256.

A.2 Overlap with the A signature

Table A1. Overlap of Rozier–Terracol integers with the signature (odd-core mapping).
eventhitsrate
reaches 64-95 → 32-63536/5500.975
START_IN_LAYER at 64-95443/5500.805
transition_k=1516/5500.938
pre_k_window_3=1,1,1468/5500.851
full A signature377/5500.685
32-63 → 16-31 signature0/5500.000
any band signature470/5500.855

The benchmark overlaps strongly with the A carrier and does not align at all with the checked 32-63 → 16-31 face.

A.3 Robustness recheck

Because the overlap is strong, we audited extraction, mapping mode, event strictness, counting mode, baselines, and negative controls.

Table A2. Full-A overlap by mapping mode. The overlap does not depend on the odd-core choice.
mapping modefull A hitsrate
odd_core377/5500.685
original_n_strict365/5500.664
odd_only177/2940.602

First-occurrence vs. trajectory. Under the first-64-95-occurrence-only definition, the A overlap is 0. The overlap is a trajectory-level event: a substantial subset of benchmark integers encounters a strict A signature somewhere along the trajectory, not at first entry into the 64-95 bin. This is consistent with the §4.5 definition, under which START_IN_LAYER marks where the word begins, not the first entry event.

Same-occurrence validity. A separate audit confirms that transition_k=1 and pre_k_window_3=1,1,1 are satisfied within the same occurrence (validity 1.0 in all modes; one strict A occurrence per integer), ruling out a cross-occurrence pooling artifact.

Negative controls. Full A overlap for control sets is markedly lower: random same-size range 0.205, consecutive from minimum 0.204, odd random 0.175, and shifted sets (n±1, 2n+1) 0.33–0.35. The benchmark overlap substantially exceeds these.

Verdict Partially robust. The strict A overlap persists across mapping modes and clearly exceeds negative controls, but it is a trajectory-level rather than first-occurrence event. We present it as an appendix benchmark, not a main-text pillar.

A.4 Classification of non-overlapping integers

The integers that do not hit the full A signature are not a random remainder. For the original-n strict mode the 185 non-hits classify as follows; 164 are near-A (three of four A conditions), the most common missing condition being START_IN_LAYER. The odd-core mode gives the same picture (154/173 near-A).

Table A3. Non-hit classification (original-n strict mode, 185 integers).
classcount
reaches 64-95 → 32-63 but not START_IN_LAYER107
START_IN_LAYER and k=1 but pre_k_window_3 ≠ 1,1,146
START_IN_LAYER but transition_k ≠ 120
never reaches 64-95 → 32-6312

A.5 Reading and limits

We read the benchmark overlay as consistent with the A signature occupying a canonical face of a broad corridor through which many of the benchmark integers pass. We do not claim that the Rozier–Terracol paradoxical sequences and the configuration studied here are the same phenomenon; the two notions are defined differently. Odd-core dependence is reported explicitly. Baselines lacking actual support (notably the log2-matched baselines, since the benchmark integers are much smaller than the sampled actual universe) are not used as claims. This is an external benchmark overlay only.


F  EditorialFigures & tables

Suggested figures and tables

Editorial only; drawn entirely from existing outputs. None requires additional computation.

  1. Figure 1 — the reverse-sign chain. Twin bars per transition: mass Δ (negative) beside conditional Δ (positive) for §5, support encoded by bar width or opacity.
  2. Figure 2 — entry-route decomposition. START_IN_LAYER vs. INFLOW_FROM_96-127, conditional Δ and pass-share side by side (§6.1).
  3. Figure 3 — A-signature concentration. Pass-share delta by pattern within START_IN_LAYER, sorted, with the all-1 carriers and their counter-pattern complements (§6.2).
  4. Figure 4 — Band Signature Map. Small multiples, one tile per band, with the 96-127 → 64-95 tile marked provisional (§7).
  5. Figure 5 — integer-side shadow. Overlaid log2(n) distributions for A/B/C/D, plus a residue-enrichment strip for mod 8/16/32/64 (§8).
  6. Figure 6 — matched-control ladder. Enrichment ratio per control with the 1.0 line marked, separating single-coordinate (below 1) from joint controls (above 1) (§9).
  7. Figure 7 (Appendix) — Rozier overlap tree. The 550 → A-hit / non-hit split with the four non-hit classes, annotated with near-A count (A.4).
  8. Tables 1–5, A1–A3. As printed above.