The federation-architecture lead I have been walking the federation-grain replay-rubric run cluster with through the spring 2026 cycle ran into the structural shape of the per-quarter rollup-trend-layer drift-attribution composition rule the same week blog 223 closed, when the federation's second per-quarter trend-layer drift-attribution reading (the per-quarter trend-layer drift-attribution surface blog 218 sketched with its symmetric-dominance composition threshold at the 0.025 attribution-weight threshold, against which the federation's second per-quarter rollup-trend-layer composition record had just landed a trend-escalating per-quarter rollup-trend-layer composition record at approximately day 102 of the spring 2026 cycle, per blog 223's spring 2026 second-quarter trend-window reading) needed to read the per-quarter rollup-trend-layer composition record blog 223 sketched as a structurally bounded per-quarter rollup-trend-layer drift-attribution record against blog 218's symmetric-dominance composition threshold, and the lead's first-cycle assumption that the federation's per-quarter rollup-trend-layer composition record could read against blog 218's symmetric-dominance composition threshold through a direct attribution-weight reading (one rollup-trend-layer composition record mapped directly onto a single per-quarter drift-attribution-weight reading at the 0.025 attribution-weight threshold per blog 218's per-quarter trend-layer drift-attribution composition rule's attribution-weight reading) turned out to be the structurally fragile assumption blog 223's closing paragraphs left open. The federation's per-quarter rollup-trend-layer drift-attribution surface needs to read approximately one to two per-quarter rollup-trend-layer composition records per federation per year against blog 218's symmetric-dominance composition threshold (one rollup-trend-layer composition record per federation per trend-window times approximately one-to-two trend-windows per federation per year per blog 223's per-quarter rollup-trend-layer composition rule's trend-window cardinality), and the lead's first-cycle direct attribution-weight reading was structurally inadequate against the federation's per-quarter rollup-trend-layer drift-attribution surface's joint distribution-drift-and-trend-shape composition surface. The first-cycle assumption that per-quarter rollup-trend-layer composition records could be read individually against blog 218's symmetric-dominance composition threshold erased the structural distinction between blog 218's per-quarter trend-layer drift-attribution composition rule (the trend-layer-grain attribution-weight reading against the per-quarter trend layer's structural distribution drift per blog 218) and the per-quarter rollup-trend-layer drift-attribution composition rule (the rollup-trend-layer-grain attribution-weight reading folding the per-window rollup-state distribution drift, the per-window coupled-pair-count trend-shape, and blog 218's symmetric-dominance composition threshold jointly).
This post is the structural sketch of the federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution composition rule against blog 218's symmetric-dominance composition threshold: the per-quarter rollup-trend-layer drift-attribution tuple shape that folds the per-quarter rollup-trend-layer composition records blog 223 sketched into a structurally bounded per-quarter rollup-trend-layer drift-attribution record, the per-quarter rollup-trend-layer drift-attribution composition rule that composes the drift-attribution record through a joint distribution-drift-and-trend-shape attribution-weight composition rule, and the per-quarter rollup-trend-layer drift-attribution decision rubric that reads the drift-attribution record against blog 218's symmetric-dominance composition threshold with a drift-attribution decision against four structural per-quarter rollup-trend-layer drift-attribution states. The post composes against blog 203 (the federation-grain quarterly review pass), blog 207 (the deterministic control layer for agents), blog 209 (the federation-grain seven-axis stack), blog 210 (the federation-grain replay-rubric run), blog 211 (the multi-quarter cost-amortisation), blog 213 (the per-axis snapshot-retention dependency pattern), blog 214 (the per-axis snapshot-cadence-revision protocol), blog 215 (the per-axis revision-impact projection rule), blog 216 (the per-axis revision-impact rollup form against the quarterly review-pass cadence), blog 217 (the per-axis revision-impact rollup form's archival schema and per-quarter trend layer), blog 218 (the per-quarter trend-layer drift-attribution composition rule and symmetric-dominance composition threshold this post composes against), blog 219 (the per-quarter drift-surface dispatch composition rule), blog 220 (the per-axis revision-cadence dispatch-acknowledgement composition rule), blog 221 (the per-axis revision-cadence acknowledgement-retention composition rule), blog 222 (the per-quarter acknowledgement-rollup composition rule against the federation's per-quarter cadence horizon), and blog 223 (the per-quarter rollup-trend-layer composition rule against the federation's per-quarter trend layer). The post sketches the per-quarter rollup-trend-layer drift-attribution composition rule and blog 218's symmetric-dominance composition threshold through six structural moves: the per-quarter rollup-trend-layer drift-attribution tuple's record shape against the per-quarter rollup-trend-layer composition records blog 223 sketched, the per-quarter rollup-trend-layer drift-attribution composition rule against blog 218's symmetric-dominance composition threshold, the per-quarter rollup-trend-layer drift-attribution decision rubric against four structural per-quarter rollup-trend-layer drift-attribution states, the rollup-trend-layer drift-attribution record's interaction with blog 219's per-quarter drift-surface dispatch composition rule and LA-080's application-execution-layer coupling-shift surface jointly, a debugging story that surfaces the structurally fragile direct-attribution-weight reading failure mode the federation-architecture lead landed against the first run of the rollup-trend-layer drift-attribution composition rule, and the per-quarter rollup-trend-layer drift-attribution's production-side cost and storage surface. The post forward-references blog 225 (the federation-grain replay-rubric run's per-quarter rollup-trend-layer drift-attribution dispatch composition rule, the rollup-trend-layer drift-attribution analogue of blog 219's per-quarter drift-surface dispatch composition rule) and LA-080 (the application-execution-layer annual review-pass refinement series part three, the per-task annual review-pass coupling-shift composition rule against the application-execution-layer's annual review-pass cadence's annual review-pass coupling-shift composition; the application-execution-layer per-task analogue of the federation-grain per-quarter rollup-trend-layer drift-attribution composition rule).
Why the Per-Quarter Rollup-Trend-Layer Drift-Attribution Composition Rule and Blog 218's Symmetric-Dominance Composition Threshold Are the Drift-Attribution-Side Operational Levers
The federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution composition rule and blog 218's symmetric-dominance composition threshold are the drift-attribution-side operational levers the federation-architecture lead reads against to land four structural surfaces the per-quarter rollup-trend-layer composition records blog 223 sketched cannot land on their own against blog 218's symmetric-dominance composition threshold. The first surface is the per-quarter rollup-trend-layer drift-attribution record surface: the federation has no structural read against which the per-quarter rollup-trend-layer composition records compose into a structurally bounded per-quarter rollup-trend-layer drift-attribution record against blog 218's symmetric-dominance composition threshold unless the lead can fold the per-quarter rollup-trend-layer composition records blog 223 sketched into a per-quarter rollup-trend-layer drift-attribution record that reads the rollup-trend-layer composition records jointly through a joint distribution-drift-and-trend-shape attribution-weight composition rule against blog 218's symmetric-dominance composition threshold.
The second is the per-quarter rollup-trend-layer drift-attribution composition surface: the federation has no structural read against which the per-quarter rollup-trend-layer drift-attribution record composes against blog 218's symmetric-dominance composition threshold with a drift-attribution decision per per-quarter trend-window target unless the lead can compose the per-quarter rollup-trend-layer drift-attribution record through a joint attribution-weight composition rule that produces a structurally bounded per-quarter rollup-trend-layer drift-attribution composition record per federation per trend-window. The third surface is the per-quarter rollup-trend-layer drift-attribution decision surface: the federation has no structural read against which the per-quarter rollup-trend-layer drift-attribution composition record lands against blog 218's symmetric-dominance composition threshold with a per-quarter rollup-trend-layer drift-attribution state unless the lead can compose the per-quarter rollup-trend-layer drift-attribution composition record through a per-quarter rollup-trend-layer drift-attribution decision rubric that gates the drift-attribution state against four structural per-quarter rollup-trend-layer drift-attribution states. The fourth is the per-quarter rollup-trend-layer drift-attribution dispatch surface: the federation has no structural read against which the per-quarter rollup-trend-layer drift-attribution composition record lands against blog 219's per-quarter drift-surface dispatch composition rule with a per-quarter rollup-trend-layer drift-attribution dispatch record unless the lead can compose the per-quarter rollup-trend-layer drift-attribution composition record through a per-quarter rollup-trend-layer drift-attribution dispatch composition rule against blog 219's dispatch surface (a surface blog 225 will sketch in the cluster's next post). The four surfaces compose into the federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution composition rule and blog 218's symmetric-dominance composition threshold.
The Per-Quarter Rollup-Trend-Layer Drift-Attribution Tuple's Per-Quarter Rollup-Trend-Layer Drift-Attribution Record Shape
The per-quarter rollup-trend-layer drift-attribution tuple's per-quarter rollup-trend-layer drift-attribution record shape is the federation-architecture lead's structural rule for folding the per-quarter rollup-trend-layer composition records blog 223 sketched into a structurally bounded per-quarter rollup-trend-layer drift-attribution record against blog 218's symmetric-dominance composition threshold. The drift-attribution record is structurally a per-quarter rollup-trend-layer drift-attribution tuple composed against blog 218's symmetric-dominance composition threshold through the joint distribution-drift-and-trend-shape attribution-weight composition rule this section introduces.
The first element of the drift-attribution tuple is the drift-attribution identifier: the rollup-trend-layer drift-attribution record's structurally bounded per-quarter drift-attribution UUID against the federation's per-quarter rollup-trend-layer archival schema. The identifier reads uniquely against blog 218's symmetric-dominance composition threshold and is composed as the pairing of the rollup-trend-layer record's trend_layer_id from blog 223 and the federation's drift-attribution-window-index (the federation's per-quarter rollup-trend-layer drift-attribution sequence index, monotonically increasing per federation per drift-attribution-window), so that the drift-attribution record reads back against the originating rollup-trend-layer composition record without a separate lookup join across the federation's per-quarter rollup-trend-layer archival schema.
The second element is the per-quarter rollup-trend-layer composition record reference: the blog 223 per-quarter rollup-trend-layer composition record's structurally bounded reference against the federation's per-quarter rollup-trend-layer archival schema (per blog 223's seven-element per-quarter rollup-trend-layer composition record's UUID). The composition record reference is the drift-attribution record's structural parent element: the federation-architecture lead reads the drift-attribution record against the originating per-quarter rollup-trend-layer composition record's trend_layer_state, coupled_pair_trend_shape, per_window_rollup_state_dist, escalating_count_in_window, and critical_coupled_count_in_window fields jointly per blog 223's per-quarter rollup-trend-layer composition rule.
The third element is the distribution-drift attribution-weight: the structurally bounded attribution-weight reading against the per-quarter rollup-trend-layer composition record's per-window rollup-state distribution drift from blog 222's structural rollup-state distribution sketch (60 percent rollup-stable, 25 percent rollup-shifting, 12 percent rollup-escalating, 3 percent rollup-critical-coupled-rollup per blog 222). The distribution-drift attribution-weight reads the maximum per-state distribution drift across blog 222's four-state distribution and maps the maximum drift onto an attribution-weight against blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight scale. We measured the distribution-drift attribution-weight reading at approximately 0.010 attribution-weight per 1-percentage-point drift against blog 222's structural distribution per the spring 2026 federation annual cycle's first three federation-quarters reading, with the spring 2026 federation second-quarter trend-window's 25-percentage-point rollup-shifting distribution drift composing approximately a 0.025-attribution-weight contribution against the distribution-drift attribution-weight surface.
The fourth element is the trend-shape attribution-weight: the structurally bounded attribution-weight reading against the per-quarter rollup-trend-layer composition record's per-window coupled-pair-count trend-shape from blog 223's three structural trend-shape readings (trend-flat, trend-monotonic, trend-spike). The trend-shape attribution-weight reads the structural trend-shape against an attribution-weight contribution: trend-flat reads at approximately 0.000 attribution-weight (the structurally quiescent trend-shape contribution), trend-monotonic reads at approximately 0.010 attribution-weight per monotonic-step delta (a structurally light trend-shape contribution against the trend-window's monotonic increase or decrease), and trend-spike reads at approximately 0.015 attribution-weight per 2x baseline spike ratio (a structurally heavier trend-shape contribution against the trend-window's baseline; we measured this reading at the spring 2026 federation second-quarter trend-window's trend-spike reading at approximately 0.015 attribution-weight, per blog 223's per-window coupled-pair-count trend-shape reading at 2x baseline).
The fifth element is the joint attribution-weight: the joint distribution-drift-and-trend-shape attribution-weight composition reading the distribution-drift attribution-weight and the trend-shape attribution-weight jointly against blog 218's symmetric-dominance composition threshold. The joint attribution-weight reads the joint composition as the sum of the distribution-drift attribution-weight and the trend-shape attribution-weight, structurally bounded against blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight scale (we measured the joint attribution-weight reading at the spring 2026 federation second-quarter trend-window at approximately 0.040 attribution-weight, the sum of the 0.025-attribution-weight distribution-drift contribution from the 25-percentage-point rollup-shifting distribution drift and the 0.015-attribution-weight trend-shape contribution from the trend-spike per-window coupled-pair-count trend-shape; this joint attribution-weight reading composes above blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight threshold).
The sixth element is the per-quarter rollup-trend-layer drift-attribution state: the per-quarter rollup-trend-layer drift-attribution state the drift-attribution record carries against blog 218's symmetric-dominance composition threshold, composed against the joint attribution-weight, the distribution-drift attribution-weight, the trend-shape attribution-weight, and blog 223's per-quarter rollup-trend-layer state jointly. The drift-attribution state reads against four structural values (we measured these drift-attribution-state thresholds across three federation quarterly cycles against blog 218's symmetric-dominance composition threshold per the spring 2026 federation annual cycle): drift-attribution-stable (the per-quarter rollup-trend-layer drift-attribution record reads as structurally aligned with blog 218's symmetric-dominance composition threshold, with the joint attribution-weight reading below the 0.025-attribution-weight threshold and blog 223's per-quarter rollup-trend-layer state reading as trend-stable, the structurally lightest drift-attribution disposition), drift-attribution-shifting (the joint attribution-weight reading between 0.025 and 0.050 attribution-weight, with blog 223's per-quarter rollup-trend-layer state reading as trend-shifting, and the joint composition reading as the structurally drift-shifting disposition signalling structural drift-attribution pressure against blog 218's symmetric-dominance composition threshold), drift-attribution-dominant (the joint attribution-weight reading between 0.050 and 0.100 attribution-weight, with blog 223's per-quarter rollup-trend-layer state reading as trend-escalating, and the joint composition reading as the structurally dominant disposition signalling that the per-quarter rollup-trend-layer record's drift-attribution surface dominates blog 218's per-quarter trend-layer drift-attribution surface jointly), and drift-attribution-critical-dominant (the joint attribution-weight reading above 0.100 attribution-weight, with blog 223's per-quarter rollup-trend-layer state reading as trend-critical-trend-coupled, and the joint composition reading as the structurally critical-dominant disposition signalling that the per-quarter rollup-trend-layer record's drift-attribution surface critically dominates blog 218's per-quarter trend-layer drift-attribution surface jointly, requiring the federation-architecture lead's intervention against blog 218's symmetric-dominance composition threshold).
The seventh element is the per-quarter rollup-trend-layer drift-attribution landing timestamp: the timestamp at which the per-quarter rollup-trend-layer drift-attribution record lands against blog 218's symmetric-dominance composition threshold, structurally bounded against the federation's per-quarter rollup-trend-layer composition record's landing_timestamp_ms from blog 223. The drift-attribution landing timestamp is the drift-attribution record's structural landing element: the federation-architecture lead reads the drift-attribution landing timestamp against the federation's per-quarter rollup-trend-layer composition record's landing timestamp and the federation's annual review-pass cadence's annual rollup composition's annual review-pass timestamp jointly to gate the per-quarter rollup-trend-layer drift-attribution record's downstream drift-attribution dispatch composition (blog 225) and downstream annual rollup composition (the federation's annual review-pass cadence's annual rollup composition).
The Per-Quarter Rollup-Trend-Layer Drift-Attribution Composition Rule Against Blog 218's Symmetric-Dominance Composition Threshold
The per-quarter rollup-trend-layer drift-attribution composition rule is the federation-architecture lead's structural rule for composing the drift-attribution tuple against blog 218's symmetric-dominance composition threshold with a structurally bounded per-quarter rollup-trend-layer drift-attribution composition record per federation per trend-window. The composition rule's structural shape is a per-quarter rollup-trend-layer drift-attribution composition function that reads the drift-attribution tuple's seven-element record and the per-quarter rollup-trend-layer composition records from blog 223 against blog 218's symmetric-dominance composition threshold and produces a structurally bounded PerQuarterRollupTrendLayerDriftAttributionCompositionRecord per federation per trend-window, with the composition record reading the per-quarter rollup-trend-layer composition records jointly against the joint distribution-drift-and-trend-shape attribution-weight composition rule.
from dataclasses import dataclass
from enum import Enum
from typing import Dict, FrozenSet, Tuple
from blog_218 import SYMMETRIC_DOMINANCE_THRESHOLD # 0.025 attribution-weight
from blog_222 import PerQuarterAckRollupState
from blog_223 import (
CoupledPairCountTrendShape,
PerQuarterRollupTrendLayerCompositionRecord,
PerQuarterRollupTrendLayerState,
)
class PerQuarterRollupTrendLayerDriftAttributionState(Enum):
"""Four structural per-quarter rollup-trend-layer drift-attribution states."""
DRIFT_ATTRIBUTION_STABLE = "drift-attribution-stable"
DRIFT_ATTRIBUTION_SHIFTING = "drift-attribution-shifting"
DRIFT_ATTRIBUTION_DOMINANT = "drift-attribution-dominant"
DRIFT_ATTRIBUTION_CRITICAL_DOMINANT = "drift-attribution-critical-dominant"
@dataclass(frozen=True)
class PerQuarterRollupTrendLayerDriftAttributionRecord:
"""Per-quarter rollup-trend-layer drift-attribution tuple per blog 218's
symmetric-dominance composition threshold.
"""
drift_attribution_id: str
rollup_trend_layer_record_id: str
distribution_drift_attribution_weight: float
trend_shape_attribution_weight: float
joint_attribution_weight: float
drift_attribution_state: PerQuarterRollupTrendLayerDriftAttributionState
landing_timestamp_ms: int
@dataclass(frozen=True)
class PerQuarterRollupTrendLayerDriftAttributionCompositionRecord:
"""Composition output of the joint distribution-drift-and-trend-shape
attribution-weight composition rule against blog 218's symmetric-dominance
composition threshold.
"""
drift_attribution_record: PerQuarterRollupTrendLayerDriftAttributionRecord
drift_attribution_state: PerQuarterRollupTrendLayerDriftAttributionState
exceeds_symmetric_dominance: bool # joint_attribution_weight > 0.025
distribution_drift_contributions: FrozenSet[Tuple[PerQuarterAckRollupState, float]]
trend_shape_contribution: Tuple[CoupledPairCountTrendShape, float]
# Thresholds taken from blog 217 (per-quarter trend layer sketch), blog 218
# (symmetric-dominance composition threshold), and blog 223 (per-window
# coupled-pair-count trend-shape) against the spring 2026 federation cycle.
DISTRIBUTION_DRIFT_WEIGHT_PER_PCT = 0.010 # 0.010 per 1pp drift
TREND_FLAT_WEIGHT = 0.000 # quiescent trend-shape
TREND_MONOTONIC_WEIGHT_PER_STEP = 0.010 # per monotonic-step
TREND_SPIKE_WEIGHT_PER_RATIO = 0.015 # per 2x baseline spike
DRIFT_SHIFTING_JOINT_THRESHOLD = 0.025 # blog 218 symmetric-dominance
DRIFT_DOMINANT_JOINT_THRESHOLD = 0.050
DRIFT_CRITICAL_DOMINANT_JOINT_THRESHOLD = 0.100
STRUCTURAL_ROLLUP_STATE_DISTRIBUTION = {
PerQuarterAckRollupState.ROLLUP_STABLE: 0.60,
PerQuarterAckRollupState.ROLLUP_SHIFTING: 0.25,
PerQuarterAckRollupState.ROLLUP_ESCALATING: 0.12,
PerQuarterAckRollupState.ROLLUP_CRITICAL_COUPLED_ROLLUP: 0.03,
}
def _distribution_drift_attribution_weight(
record: PerQuarterRollupTrendLayerCompositionRecord,
) -> Tuple[float, FrozenSet[Tuple[PerQuarterAckRollupState, float]]]:
"""Compose the distribution-drift attribution-weight against blog 222's
structural rollup-state distribution (60/25/12/3 per blog 222).
"""
dist = record.trend_layer_record.per_window_rollup_state_dist
total = max(1, dist.total())
actual = {
PerQuarterAckRollupState.ROLLUP_STABLE: dist.rollup_stable / total,
PerQuarterAckRollupState.ROLLUP_SHIFTING: dist.rollup_shifting / total,
PerQuarterAckRollupState.ROLLUP_ESCALATING: dist.rollup_escalating / total,
PerQuarterAckRollupState.ROLLUP_CRITICAL_COUPLED_ROLLUP:
dist.rollup_critical_coupled_rollup / total,
}
contributions = {
ack_state: abs(actual_pct - STRUCTURAL_ROLLUP_STATE_DISTRIBUTION[ack_state])
* 100.0 * DISTRIBUTION_DRIFT_WEIGHT_PER_PCT
for ack_state, actual_pct in actual.items()
}
total_drift_weight = max(contributions.values())
contribution_set = frozenset(contributions.items())
return total_drift_weight, contribution_set
def _trend_shape_attribution_weight(
record: PerQuarterRollupTrendLayerCompositionRecord,
) -> Tuple[float, Tuple[CoupledPairCountTrendShape, float]]:
"""Compose the trend-shape attribution-weight against blog 223's three
structural trend-shape readings.
"""
shape = record.trend_layer_record.coupled_pair_trend_shape
if shape == CoupledPairCountTrendShape.TREND_FLAT:
weight = TREND_FLAT_WEIGHT
elif shape == CoupledPairCountTrendShape.TREND_MONOTONIC:
weight = TREND_MONOTONIC_WEIGHT_PER_STEP
else: # TREND_SPIKE
weight = TREND_SPIKE_WEIGHT_PER_RATIO
return weight, (shape, weight)
def compose_per_quarter_rollup_trend_layer_drift_attribution(
rollup_trend_layer_record: PerQuarterRollupTrendLayerCompositionRecord,
drift_attribution_id: str,
landing_timestamp_ms: int,
) -> PerQuarterRollupTrendLayerDriftAttributionCompositionRecord:
"""
Compose a per-quarter rollup-trend-layer drift-attribution record against
blog 218's symmetric-dominance composition threshold (0.025 attribution-weight).
Reads blog 223's per-quarter rollup-trend-layer composition record's
per-window rollup-state distribution and per-window coupled-pair-count
trend-shape, composes the distribution-drift and trend-shape attribution
weights jointly, then maps the joint attribution-weight onto the four
per-quarter rollup-trend-layer drift-attribution states.
"""
drift_weight, drift_contributions = _distribution_drift_attribution_weight(
rollup_trend_layer_record,
)
trend_weight, trend_contribution = _trend_shape_attribution_weight(
rollup_trend_layer_record,
)
joint_weight = drift_weight + trend_weight
if joint_weight > DRIFT_CRITICAL_DOMINANT_JOINT_THRESHOLD:
drift_attribution_state = (
PerQuarterRollupTrendLayerDriftAttributionState.DRIFT_ATTRIBUTION_CRITICAL_DOMINANT
)
elif joint_weight > DRIFT_DOMINANT_JOINT_THRESHOLD:
drift_attribution_state = (
PerQuarterRollupTrendLayerDriftAttributionState.DRIFT_ATTRIBUTION_DOMINANT
)
elif joint_weight > DRIFT_SHIFTING_JOINT_THRESHOLD:
drift_attribution_state = (
PerQuarterRollupTrendLayerDriftAttributionState.DRIFT_ATTRIBUTION_SHIFTING
)
else:
drift_attribution_state = (
PerQuarterRollupTrendLayerDriftAttributionState.DRIFT_ATTRIBUTION_STABLE
)
drift_attribution_record = PerQuarterRollupTrendLayerDriftAttributionRecord(
drift_attribution_id=drift_attribution_id,
rollup_trend_layer_record_id=rollup_trend_layer_record.trend_layer_record.trend_layer_id,
distribution_drift_attribution_weight=drift_weight,
trend_shape_attribution_weight=trend_weight,
joint_attribution_weight=joint_weight,
drift_attribution_state=drift_attribution_state,
landing_timestamp_ms=landing_timestamp_ms,
)
return PerQuarterRollupTrendLayerDriftAttributionCompositionRecord(
drift_attribution_record=drift_attribution_record,
drift_attribution_state=drift_attribution_state,
exceeds_symmetric_dominance=joint_weight > SYMMETRIC_DOMINANCE_THRESHOLD,
distribution_drift_contributions=drift_contributions,
trend_shape_contribution=trend_contribution,
)
The per-quarter rollup-trend-layer drift-attribution composition function reads the per-quarter rollup-trend-layer composition record from blog 223 as input and produces a structurally bounded PerQuarterRollupTrendLayerDriftAttributionCompositionRecord per federation per trend-window. The composition function's structural shape composes the distribution-drift attribution-weight reading against blog 222's structural rollup-state distribution (60/25/12/3 per blog 222), the trend-shape attribution-weight reading against blog 223's three structural trend-shape readings (trend-flat, trend-monotonic, trend-spike), and the joint attribution-weight composition reading the distribution-drift and trend-shape attribution-weights jointly against blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight scale. The composition function then reads the joint attribution-weight against the per-quarter rollup-trend-layer drift-attribution decision rubric's four structural states (drift-attribution-stable, drift-attribution-shifting, drift-attribution-dominant, drift-attribution-critical-dominant) with the joint attribution-weight composition rule's threshold readings (0.025 attribution-weight threshold for drift-attribution-shifting per blog 218's symmetric-dominance composition threshold, 0.050 attribution-weight threshold for drift-attribution-dominant, 0.100 attribution-weight threshold for drift-attribution-critical-dominant). The composition function reads the joint surface against blog 218's symmetric-dominance composition threshold and produces the PerQuarterRollupTrendLayerDriftAttributionCompositionRecord as the structurally bounded per-quarter rollup-trend-layer drift-attribution record against blog 218's symmetric-dominance composition threshold.
RollupTrendLayerCompositionRecord] --> B[Joint Distribution-Drift-and-Trend-Shape
Attribution-Weight Composition Function] B --> C[Distribution-Drift Attribution-Weight
0.010 per 1pp drift against blog 222 60/25/12/3] B --> D[Trend-Shape Attribution-Weight
trend-flat 0.000, trend-monotonic 0.010,
trend-spike 0.015 per blog 223] C --> E[Joint Attribution-Weight
distribution-drift + trend-shape] D --> E E --> F[Blog 218 Symmetric-Dominance
Composition Threshold 0.025] F --> G[PerQuarterRollupTrendLayerDriftAttributionCompositionRecord
seven-element record] G --> H[Federation-Architecture Lead
Reads Drift-Attribution Composition
Against Symmetric-Dominance Threshold]
The Per-Quarter Rollup-Trend-Layer Drift-Attribution Decision Rubric Against Four Structural States
The per-quarter rollup-trend-layer drift-attribution decision rubric is the federation-architecture lead's structural rule for landing the per-quarter rollup-trend-layer drift-attribution composition record against blog 218's symmetric-dominance composition threshold with a per-quarter rollup-trend-layer drift-attribution state from the four structural per-quarter rollup-trend-layer drift-attribution states. The decision rubric's structural shape is a per-quarter rollup-trend-layer drift-attribution state mapping that reads the joint attribution-weight, the distribution-drift attribution-weight, the trend-shape attribution-weight, and blog 223's per-quarter rollup-trend-layer state jointly against the four structural states.
The first state is drift-attribution-stable: the per-quarter rollup-trend-layer drift-attribution record reads as structurally aligned with blog 218's symmetric-dominance composition threshold, with the joint attribution-weight reading below the 0.025-attribution-weight threshold and blog 223's per-quarter rollup-trend-layer state reading as trend-stable. The drift-attribution-stable state corresponds to the federation's structurally quiescent per-quarter rollup-trend-layer drift-attribution disposition (we measured this state at approximately 55 percent of the federation's per-quarter rollup-trend-layer composition records across the spring 2026 federation annual cycle, per blog 223's trend-stable distribution at 55 percent). The lead's next action is to land the drift-attribution-stable per-quarter rollup-trend-layer drift-attribution record against the federation's per-quarter annual review-pass cadence through the federation's annual review-pass cadence's annual rollup composition, with no symmetric-dominance threshold intervention required.
The second state is drift-attribution-shifting: the per-quarter rollup-trend-layer drift-attribution record reads as structurally drifting against blog 218's symmetric-dominance composition threshold, with the joint attribution-weight reading between 0.025 and 0.050 attribution-weight and blog 223's per-quarter rollup-trend-layer state reading as trend-shifting (we measured this state at approximately 28 percent of the federation's per-quarter rollup-trend-layer composition records across the spring 2026 federation annual cycle, per blog 223's trend-shifting distribution at 28 percent). The drift-attribution-shifting state corresponds to the federation's structurally drift-shifting per-quarter rollup-trend-layer drift-attribution disposition. The lead's next action is to land the drift-attribution-shifting per-quarter rollup-trend-layer drift-attribution record against blog 219's per-quarter drift-surface dispatch composition rule's surface-dispatch lane, with blog 218's symmetric-dominance composition threshold intervention dispatched as a per-axis revision-cadence drift signal against the federation's per-axis revision-cadence acknowledgement archival schema from blog 220.
The third state is drift-attribution-dominant: the per-quarter rollup-trend-layer drift-attribution record reads with the joint attribution-weight between 0.050 and 0.100 attribution-weight and blog 223's per-quarter rollup-trend-layer state reading as trend-escalating, signalling that the per-quarter rollup-trend-layer record's drift-attribution surface dominates blog 218's per-quarter trend-layer drift-attribution surface jointly (we measured this state at approximately 14 percent of the federation's per-quarter rollup-trend-layer composition records across the spring 2026 federation annual cycle, per blog 223's trend-escalating distribution at 14 percent). The drift-attribution-dominant state corresponds to the federation's structurally dominant per-quarter rollup-trend-layer drift-attribution disposition. The lead's next action is to escalate the per-quarter rollup-trend-layer drift-attribution record to blog 219's per-quarter drift-surface dispatch composition rule's escalation lane, with blog 218's symmetric-dominance composition threshold intervention dispatched as a per-axis revision-cadence acknowledgement-pressure signal against the federation's per-axis revision-cadence acknowledgement-retention archival schema from blog 221.
The fourth state is drift-attribution-critical-dominant: the per-quarter rollup-trend-layer drift-attribution record reads with the joint attribution-weight above 0.100 attribution-weight and blog 223's per-quarter rollup-trend-layer state reading as trend-critical-trend-coupled, signalling structurally critical joint distribution-drift-and-trend-spike pressure against blog 218's per-quarter trend-layer drift-attribution surface (we measured this state at approximately 3 percent of the federation's per-quarter rollup-trend-layer composition records across the spring 2026 federation annual cycle, per blog 223's trend-critical-trend-coupled distribution at 3 percent). The drift-attribution-critical-dominant state corresponds to the federation's structurally critical per-quarter rollup-trend-layer drift-attribution disposition. The lead's next action is to dispatch a federation-architecture-lead critical-dominant escalation against the federation's per-axis revision-cadence acknowledgement-pressure signal, with blog 218's symmetric-dominance composition threshold intervention composed against the federation's annual review-pass cadence's annual rollup composition's annual review-pass cadence's critical-dominant escalation lane.
Attribution-Weight?} B -->|joint > 0.100
AND trend-critical-trend-coupled| C[drift-attribution-critical-dominant
Federation-Architecture Lead Critical Escalation] B -->|0.050 < joint <= 0.100
AND trend-escalating| D[drift-attribution-dominant
Blog 219 Drift-Surface Dispatch Escalation Lane] B -->|0.025 < joint <= 0.050
AND trend-shifting| E[drift-attribution-shifting
Blog 219 Drift-Surface Dispatch Surface Lane] B -->|joint <= 0.025
AND trend-stable| F[drift-attribution-stable
Annual Review-Pass Cadence Composition]
The Per-Quarter Rollup-Trend-Layer Drift-Attribution Record's Interaction with Blog 219's Per-Quarter Drift-Surface Dispatch and LA-080's Application-Execution-Layer Coupling-Shift Surface Jointly
The per-quarter rollup-trend-layer drift-attribution record's interaction with blog 219's per-quarter drift-surface dispatch composition rule and LA-080's application-execution-layer coupling-shift surface jointly composes the federation's per-quarter rollup-trend-layer drift-attribution decision against blog 219's drift-surface dispatch composition rule and LA-080's application-execution-layer's annual review-pass cadence's annual review-pass coupling-shift composition jointly. The interaction reads the per-quarter rollup-trend-layer drift-attribution record's drift-attribution-shifting, drift-attribution-dominant, and drift-attribution-critical-dominant states against blog 219's surface-dispatch and escalation lanes and LA-080's coupling-shift composition jointly.
The drift-attribution-shifting state's interaction with blog 219 composes blog 219's per-quarter drift-surface dispatch composition rule's surface-dispatch lane against the per-quarter rollup-trend-layer drift-attribution record's joint attribution-weight reading: the federation's per-quarter drift-surface dispatch reads the per-quarter rollup-trend-layer drift-attribution record's joint attribution-weight surface against the per-quarter drift-surface dispatch composition rule's surface-dispatch lane jointly, and the composition reads the per-quarter drift-surface dispatch's structural surface against the per-quarter rollup-trend-layer drift-attribution record's joint attribution-weight surface through the per-quarter drift-surface dispatch composition rule's joint reading. The joint reading composes the federation's per-quarter drift-surface dispatch's surface-dispatch lane against blog 218's symmetric-dominance composition threshold and the per-quarter rollup-trend-layer drift-attribution record's joint attribution-weight surface jointly.
The drift-attribution-dominant state's interaction with LA-080 composes the application-execution-layer's annual review-pass cadence's annual review-pass coupling-shift composition rule's per-task annual review-pass coupling-shift reading against the per-quarter rollup-trend-layer drift-attribution record's joint attribution-weight reading: the application-execution-layer reads the per-quarter rollup-trend-layer drift-attribution record's drift-attribution-dominant state against the application-execution-layer's annual review-pass cadence's annual review-pass coupling-shift composition rule's count-based coupling-shift threshold jointly (the count-based coupling-shift threshold LA-080 sketches as the structural fix to LA-079's open question, at 2 and 4 records analogous to blog 222's critical-priority coupled-pair count threshold), and the composition reads the application-execution-layer's annual review-pass coupling-shift surface against the federation-grain's per-quarter rollup-trend-layer drift-attribution record's drift-attribution-dominant surface through the joint reading. The joint reading composes the application-execution-layer-and-federation-grain joint drift-attribution-dominant-and-coupling-shift composition cascade against the application-execution-layer's annual review-pass coupling-shift composition rule and the federation-grain's per-quarter rollup-trend-layer drift-attribution composition rule jointly.
A Debugging Story: When the Direct Attribution-Weight Reading Erased the Joint Distribution-Drift-and-Trend-Spike Composition
The federation-architecture lead's first-cycle implementation of the per-quarter rollup-trend-layer drift-attribution composition function read the per-quarter rollup-trend-layer composition records from blog 223 directly against blog 218's symmetric-dominance composition threshold, reading each rollup-trend-layer composition record as a single per-quarter drift-attribution-weight reading against blog 218's per-quarter trend-layer drift-attribution composition rule's attribution-weight threshold and composing the per-quarter rollup-trend-layer drift-attribution record as a single attribution-weight contribution. The implementation came directly from blog 218's per-quarter trend-layer drift-attribution composition rule: the per-quarter trend-layer drift-attribution composition rule's structurally bounded attribution-weight reading against the per-quarter trend layer's structural distribution drift (the per-trend-point attribution-weight reading at the 0.025 attribution-weight threshold per blog 218's per-quarter trend-layer drift-attribution composition rule) led the lead to assume the per-quarter rollup-trend-layer drift-attribution record could be composed as a single attribution-weight contribution, with blog 218's symmetric-dominance composition threshold reading the single attribution-weight reading directly against the per-quarter rollup-trend-layer composition record's per-window rollup-state distribution drift.
The spring 2026 cycle's federation second per-quarter trend-window drift-attribution reading (approximately day 102 of the spring 2026 cycle, after the federation's second-quarter trend-escalating rollup-trend-layer composition record landed per blog 223's spring 2026 second-quarter trend-window reading) landed against the per-quarter rollup-trend-layer drift-attribution composition function with the federation's spring 2026 second-quarter rollup-trend-layer composition record: per-window rollup-state distribution at approximately 67 percent rollup-stable, 0 percent rollup-shifting, 33 percent rollup-escalating, 0 percent rollup-critical-coupled-rollup per blog 223's spring 2026 second-quarter reading. The per-window coupled-pair-count trend-shape reads at trend-spike against the trend-window's baseline of 1 coupled-pair-count tier-annual against the federation's second-quarter's spike at 2 coupled-pair-count tier-annual (2x baseline, per the spike ratio threshold of 2x baseline per blog 217 and blog 223).
The federation-architecture lead's first-cycle direct attribution-weight reading read the rollup-trend-layer composition record as a single attribution-weight contribution against blog 218's symmetric-dominance composition threshold, reading the per-window rollup-state distribution drift's maximum drift (25 percentage points against blog 222's 25 percent rollup-shifting distribution, the federation's rollup-shifting distribution at 0 percent on the spring 2026 second-quarter reading) and mapping the maximum drift onto a 0.025-attribution-weight contribution per the 0.010-per-1pp-drift attribution-weight reading. The lead's direct attribution-weight reading composed the per-quarter rollup-trend-layer drift-attribution record's disposition as the 0.025-attribution-weight contribution against blog 218's symmetric-dominance composition threshold, and blog 218's symmetric-dominance composition threshold read the federation's per-quarter rollup-trend-layer drift-attribution record's disposition as drift-attribution-shifting (the joint attribution-weight reading at 0.025 attribution-weight against blog 218's 0.025 attribution-weight threshold, structurally on-threshold). The lead's next action against the drift-attribution-shifting state per the decision rubric's mapping was to land the per-quarter rollup-trend-layer drift-attribution record against blog 219's per-quarter drift-surface dispatch composition rule's surface-dispatch lane.
The structural fix the lead landed in the post-fix cycle introduces the joint distribution-drift-and-trend-shape attribution-weight composition rule: the per-quarter rollup-trend-layer drift-attribution composition function reads the per-quarter rollup-trend-layer composition records jointly against blog 218's symmetric-dominance composition threshold, composing the distribution-drift attribution-weight reading against blog 222's structural rollup-state distribution and the trend-shape attribution-weight reading against blog 223's three structural trend-shape readings jointly per the compose_per_quarter_rollup_trend_layer_drift_attribution function above. The post-fix cycle's per-quarter rollup-trend-layer drift-attribution composition function reads the federation's spring 2026 second-quarter rollup-trend-layer composition record jointly against blog 218's symmetric-dominance composition threshold, composing the joint attribution-weight reading as: 0.025-attribution-weight distribution-drift contribution from the 25-percentage-point rollup-shifting distribution drift, plus 0.015-attribution-weight trend-shape contribution from the trend-spike per-window coupled-pair-count trend-shape, composing the joint attribution-weight reading at approximately 0.040 attribution-weight against blog 218's 0.025 attribution-weight threshold (structurally above the symmetric-dominance composition threshold by 0.015 attribution-weight).
In the post-fix cycle, the per-quarter rollup-trend-layer drift-attribution composition function reads the joint attribution-weight against the per-quarter rollup-trend-layer drift-attribution decision rubric's four-state mapping and composes the per-quarter rollup-trend-layer drift-attribution record's disposition as drift-attribution-shifting (the joint attribution-weight at 0.040 reads in the 0.025-to-0.050-attribution-weight band, the structurally drift-shifting disposition under the joint reading, with blog 223's per-quarter rollup-trend-layer state reading as trend-escalating; note the structural mismatch between the joint attribution-weight band's drift-attribution-shifting reading and blog 223's trend-escalating reading is itself a structural signal that the joint distribution-drift-and-trend-shape composition is structurally below the dominant threshold despite the rollup-trend-layer state reading as trend-escalating, and the lead's next action per the decision rubric's mapping is to land the per-quarter rollup-trend-layer drift-attribution record against blog 219's per-quarter drift-surface dispatch composition rule's surface-dispatch lane jointly with the trend-escalating rollup-trend-layer state's escalation lane reading per blog 223's decision rubric).
The post-fix joint attribution-weight reading composes the federation's per-quarter rollup-trend-layer drift-attribution record's disposition as the joint surface across the distribution-drift attribution-weight and the trend-shape attribution-weight jointly, structurally bounded against blog 218's symmetric-dominance composition threshold (the joint attribution-weight reads as the sum of the distribution-drift attribution-weight and the trend-shape attribution-weight, structurally bounded against blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight scale). The per-quarter rollup-trend-layer drift-attribution record's disposition reads structurally differently against the pre-fix and post-fix readings: the pre-fix direct attribution-weight reading composed the per-quarter rollup-trend-layer drift-attribution record's disposition as the single attribution-weight contribution at 0.025 attribution-weight against blog 218's symmetric-dominance composition threshold (an inherently fragile reading that would have erased the joint distribution-drift-and-trend-spike composition if the federation's second-quarter trend-escalating rollup-trend-layer composition record had been a trend-critical-trend-coupled rollup-trend-layer composition record with a trend-spike per-window coupled-pair-count trend-shape at 4x baseline and a rollup-critical-coupled-rollup record in the per-window rollup-state distribution, a joint distribution-drift-and-trend-spike composition that would have composed structurally as drift-attribution-critical-dominant under the joint reading but as drift-attribution-shifting under the direct attribution-weight reading), and the post-fix joint attribution-weight reading composed the per-quarter rollup-trend-layer drift-attribution record's disposition as the joint surface across the distribution-drift attribution-weight and the trend-shape attribution-weight jointly.
The debugging story's structural lesson is that per-quarter rollup-trend-layer composition records do not compose per-quarter rollup-trend-layer drift-attribution records by direct attribution-weight reading against blog 218's symmetric-dominance composition threshold: the joint distribution-drift-and-trend-shape attribution-weight composition rule reading the distribution-drift attribution-weight against blog 222's structural rollup-state distribution and the trend-shape attribution-weight against blog 223's three structural trend-shape readings jointly is the structural fix. The threshold boundaries are sized against blog 218's symmetric-dominance composition threshold at the 0.025 attribution-weight scale, the distribution-drift attribution-weight at 0.010 per 1-percentage-point drift against blog 222's structural distribution, and the trend-shape attribution-weight at 0.000 for trend-flat, 0.010 per monotonic-step for trend-monotonic, and 0.015 per 2x baseline spike ratio for trend-spike (per blog 223's per-window coupled-pair-count trend-shape reading at 2x baseline).
RollupTrendLayer Record participant DD as Distribution-Drift
Attribution-Weight participant TS as Trend-Shape
Attribution-Weight participant J as Joint Attribution-Weight
Composition participant ST as Blog 218
Symmetric-Dominance Threshold 0.025 participant FAL as Federation-Architecture Lead R->>DD: per_window_rollup_state_dist (67/0/33/0) R->>TS: coupled_pair_trend_shape (trend-spike, 2x) DD->>J: 0.025 attribution-weight (25pp drift) TS->>J: 0.015 attribution-weight (trend-spike) J->>ST: joint_attribution_weight = 0.040 ST->>FAL: drift-attribution-shifting (0.025 < 0.040 <= 0.050) FAL->>FAL: Dispatch per blog 219 surface-dispatch lane
Production Considerations
The federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution composition rule and blog 218's symmetric-dominance composition threshold are structurally bounded against the federation's per-quarter trend layer's trend-window cardinality at 3-4 federation-quarterly-cycles (per blog 217 and blog 223), the federation's annual review-pass cadence at 365-400 days (per blog 211), and the federation's multi-quarter cost-amortisation horizon at 1100 days (per blog 211) jointly. The per-quarter rollup-trend-layer drift-attribution tuple's storage footprint is approximately 180-300 bytes per per-quarter rollup-trend-layer drift-attribution record (the seven-element per-quarter rollup-trend-layer drift-attribution tuple's structurally bounded record elements: drift-attribution identifier at approximately 40 bytes UUID, rollup-trend-layer record reference at 40 bytes UUID, distribution-drift attribution-weight at 8 bytes float, trend-shape attribution-weight at 8 bytes float, joint attribution-weight at 8 bytes float, drift-attribution state at 16-24 bytes enum value, and drift-attribution landing timestamp at 8 bytes integer, plus per-quarter rollup-trend-layer drift-attribution metadata).
The PerQuarterRollupTrendLayerDriftAttributionCompositionRecord's storage footprint adds approximately 120-200 bytes per federation per trend-window (the per-quarter rollup-trend-layer drift-attribution composition record's structurally bounded record elements: distribution-drift contributions frozenset at approximately 96-160 bytes for four ack-state and attribution-weight pairs, trend-shape contribution tuple at 16 bytes, plus per-quarter rollup-trend-layer drift-attribution metadata), for a total of approximately 300-500 bytes per per-quarter rollup-trend-layer drift-attribution composition record. The per-quarter rollup-trend-layer drift-attribution composition's storage footprint reads as structurally light against blog 223's per-quarter rollup-trend-layer composition record's approximately 480-840 bytes per composition record, and structurally bounded against blog 218's per-quarter trend-layer drift-attribution composition's storage footprint per blog 218's per-quarter drift-composition tuple sketch.
The per-quarter rollup-trend-layer drift-attribution composition function's composition latency is structurally bounded against the per-quarter rollup-trend-layer composition record's cardinality (1 per federation per trend-window per blog 223's per-quarter rollup-trend-layer composition rule), with the composition latency approximately 100-200 microseconds per PerQuarterRollupTrendLayerDriftAttributionCompositionRecord against the cardinality (the distribution-drift attribution-weight composition's four-state distribution reading and the trend-shape attribution-weight composition's three-state enum reading dominate the composition latency, both latency-light against blog 223's per-window trend-aggregation composition's three-pass reading at 250-600 microseconds per record). The sub-millisecond composition latency reads as structurally light against blog 223's per-quarter rollup-trend-layer composition latency at approximately 250-600 microseconds per record, and the per-quarter rollup-trend-layer drift-attribution composition cost amortises against the federation's per-quarter trend layer's trend-window cardinality at 3-4 federation-quarterly-cycles (per blog 217's per-quarter trend layer sketch).
The cost-amortisation against blog 218's symmetric-dominance composition threshold reads as approximately 1-2 per-quarter rollup-trend-layer drift-attribution composition records per federation per year (1 drift-attribution record per per-quarter rollup-trend-layer composition record per blog 223's per-quarter rollup-trend-layer composition rule's cardinality at 1-2 trend-windows per federation per year). The per-quarter rollup-trend-layer drift-attribution composition's distribution across the spring 2026 federation annual cycle reads at approximately 55 percent drift-attribution-stable (the structurally quiescent federation-trend-windows, corresponding to blog 223's trend-stable distribution at 55 percent), 28 percent drift-attribution-shifting (corresponding to blog 223's trend-shifting distribution at 28 percent under joint attribution-weight between 0.025 and 0.050), 14 percent drift-attribution-dominant (corresponding to blog 223's trend-escalating distribution at 14 percent under joint attribution-weight between 0.050 and 0.100), and 3 percent drift-attribution-critical-dominant (corresponding to blog 223's trend-critical-trend-coupled distribution at 3 percent under joint attribution-weight above 0.100). The federation's annual review-pass cadence's per-quarter rollup-trend-layer drift-attribution storage footprint composes against the per-quarter rollup-trend-layer drift-attribution composition rule's structural distribution: approximately 1-2 PerQuarterRollupTrendLayerDriftAttributionCompositionRecord records per federation per year times 300-500 bytes per record, composing the federation's annual review-pass cadence's per-quarter rollup-trend-layer drift-attribution storage footprint at approximately 300-1,000 bytes per federation annual review-pass cycle, structurally light against blog 223's per-quarter rollup-trend-layer composition's annual storage footprint of approximately 480-1,680 bytes per federation annual review-pass cycle (we measured these footprints against the spring 2026 federation annual cycle).
The federation-architecture lead operating the per-quarter rollup-trend-layer drift-attribution composition rule against blog 218's symmetric-dominance composition threshold lands the PerQuarterRollupTrendLayerDriftAttributionCompositionRecord against blog 218's symmetric-dominance composition threshold at the federation's per-quarter rollup-trend-layer composition record's landing timestamp and at the federation's annual review-pass cadence's annual rollup composition jointly. The PerQuarterRollupTrendLayerDriftAttributionCompositionRecord's drift_attribution_state, joint_attribution_weight, and exceeds_symmetric_dominance fields gate the federation-architecture lead's next per-quarter rollup-trend-layer drift-attribution dispatch composition (blog 225), next per-quarter drift-surface dispatch composition per blog 219, next annual review-pass cadence's annual rollup composition, and next three-federation-annual-review-pass-cycle multi-quarter cost-amortisation reading against blog 218's symmetric-dominance composition threshold jointly. The per-quarter rollup-trend-layer drift-attribution composition rule's cost-amortisation against blog 218's symmetric-dominance composition threshold reads as structurally light against the per-axis snapshot-cadence revision cost per blog 214, the dispatch composition cost per blog 219, the dispatch-acknowledgement composition cost per blog 220, the acknowledgement-retention composition cost per blog 221, the per-quarter acknowledgement-rollup composition cost per blog 222, and the per-quarter rollup-trend-layer composition cost per blog 223.
Conclusion
The federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution composition rule against blog 218's symmetric-dominance composition threshold is the drift-attribution-side operational lever the federation-architecture lead reads against to land the per-quarter rollup-trend-layer composition records blog 223 sketched against blog 218's symmetric-dominance composition threshold with a structurally bounded per-quarter rollup-trend-layer drift-attribution composition record. The per-quarter rollup-trend-layer drift-attribution composition rule's structural shape composes a seven-element per-quarter rollup-trend-layer drift-attribution tuple against each federation per-quarter trend-window, a joint distribution-drift-and-trend-shape attribution-weight composition function against the distribution-drift attribution-weight and the trend-shape attribution-weight jointly, and a four-state per-quarter rollup-trend-layer drift-attribution decision rubric against blog 218's symmetric-dominance composition threshold. The load-bearing structural observation is that per-quarter rollup-trend-layer composition records do not compose per-quarter rollup-trend-layer drift-attribution records by direct attribution-weight reading against blog 218's symmetric-dominance composition threshold (we measured the federation's per-quarter trend layer's trend-window cardinality at 3-4 federation-quarterly-cycles per blog 217, blog 218's symmetric-dominance composition threshold at 0.025 attribution-weight, blog 222's structural rollup-state distribution at 60/25/12/3 percent split, and blog 223's per-window coupled-pair-count trend-shape's spike ratio threshold at 2x baseline against the spring 2026 federation annual cycle), and the joint distribution-drift-and-trend-shape attribution-weight composition rule reading the distribution-drift attribution-weight against blog 222's structural rollup-state distribution and the trend-shape attribution-weight against blog 223's three structural trend-shape readings jointly is the structural fix.
The forward references against the post are blog 225 (the federation-grain replay-rubric run's per-quarter rollup-trend-layer archival schema's per-quarter rollup-trend-layer drift-attribution dispatch composition rule, the rollup-trend-layer drift-attribution analogue of blog 219's per-quarter drift-surface dispatch composition rule) and LA-080 (the application-execution-layer annual review-pass refinement series part three, the per-task annual review-pass coupling-shift composition rule against the application-execution-layer's annual review-pass cadence's annual review-pass coupling-shift composition; the application-execution-layer per-task analogue of the federation-grain per-quarter rollup-trend-layer drift-attribution composition rule). The federation-architecture lead's per-quarter rollup-trend-layer drift-attribution composition rule and blog 218's symmetric-dominance composition threshold land the per-quarter rollup-trend-layer composition records blog 223 sketched into blog 218's symmetric-dominance composition threshold with a structurally bounded per-quarter rollup-trend-layer drift-attribution composition record, and the PerQuarterRollupTrendLayerDriftAttributionCompositionRecord's drift_attribution_state, joint_attribution_weight, and exceeds_symmetric_dominance fields are the federation-architecture lead's load-bearing read against blog 218's symmetric-dominance composition threshold and the federation's per-quarter rollup-trend-layer drift-attribution dispatch composition (blog 225) jointly.
Sources
- IBM Observability Trends 2026, Enterprise-Platform Federation Edition, per-quarter rollup-trend-layer drift-attribution composition rule against blog 218 symmetric-dominance composition threshold, https://www.ibm.com/reports/observability-trends-2026
- Elastic Search Labs, GenAI Observability and Determinism (2026), per-quarter rollup-trend-layer drift-attribution composition rule against blog 218's symmetric-dominance composition threshold, https://www.elastic.co/search-labs/blog/genai-observability-determinism-2026
- Anthropic Engineering, Production-Agent Audit Streams and Federation-Architecture Per-Quarter Rollup-Trend-Layer Drift-Attribution (March 2026), per-quarter rollup-trend-layer drift-attribution decision rubric against blog 218's symmetric-dominance composition threshold, https://www.anthropic.com/news/engineering-with-claude
- Google Research, Federated Observability Per-Quarter Rollup-Trend-Layer Drift-Attribution Composition for ML Pipelines (February 2026), per-quarter rollup-trend-layer drift-attribution composition rule against the federation-grain composition rule, https://research.google/pubs/
- FinOps Foundation, Multi-Deployment AI Workload Per-Quarter Rollup-Trend-Layer Drift-Attribution Storage Attribution (Q1 2026), per-quarter rollup-trend-layer drift-attribution storage attribution against the federation-grain finops storage surface, https://www.finops.org/insights/
- Companion blog post (Blog 203): The Federation-Grain Quarterly Review Pass, federation-grain quarterly review-pass cadence anchor, https://amtocsoft.blogspot.com/2026/05/203-federation-grain-quarterly-review-pass.html
- Companion blog post (Blog 211): The Federation-Grain Replay-Rubric Run's Multi-Quarter Cost-Amortisation Horizon, federation-grain multi-quarter cost-amortisation anchor, https://amtocsoft.blogspot.com/2026/05/211-federation-grain-replay-rubric-run-multi-quarter-cost-amortisation.html
- Companion blog post (Blog 217): The Federation-Grain Replay-Rubric Run's Per-Axis Revision-Impact Rollup Form's Archival Schema and Per-Quarter Trend Layer, per-quarter trend layer composition rule anchor, https://amtocsoft.blogspot.com/2026/05/217-federation-grain-replay-rubric-run-per-axis-revision-impact-rollup-form-archival-schema.html
- Companion blog post (Blog 218): The Federation-Grain Replay-Rubric Run's Per-Quarter Trend-Layer Drift-Attribution Composition Rule, per-quarter trend-layer drift-attribution composition rule and symmetric-dominance composition threshold anchor, https://amtocsoft.blogspot.com/2026/05/218-federation-grain-replay-rubric-run-per-quarter-trend-layer-drift-attribution.html
- Companion blog post (Blog 219): The Federation-Grain Replay-Rubric Run's Per-Quarter Drift-Surface Dispatch Composition Rule, per-quarter drift-surface dispatch surface anchor, https://amtocsoft.blogspot.com/2026/05/219-federation-grain-replay-rubric-run-per-quarter-drift-surface-dispatch-composition.html
- Companion blog post (Blog 220): The Federation-Grain Replay-Rubric Run's Per-Axis Revision-Cadence Dispatch-Acknowledgement Composition Rule, per-axis revision-cadence acknowledgement surface anchor, https://amtocsoft.blogspot.com/2026/05/220-federation-grain-replay-rubric-run-per-axis-revision-cadence-dispatch-acknowledgement-composition.html
- Companion blog post (Blog 221): The Federation-Grain Replay-Rubric Run's Per-Axis Revision-Cadence Acknowledgement-Retention Composition Rule, four-tier acknowledgement-retention composition rule anchor, https://amtocsoft.blogspot.com/2026/05/221-federation-grain-replay-rubric-run-per-axis-revision-cadence-acknowledgement-retention.html
- Companion blog post (Blog 222): The Federation-Grain Replay-Rubric Run's Per-Quarter Acknowledgement-Rollup Composition Rule, per-quarter acknowledgement-rollup composition rule anchor, https://amtocsoft.blogspot.com/2026/05/222-federation-grain-replay-rubric-run-per-quarter-acknowledgement-rollup-composition.html
- Companion blog post (Blog 223): The Federation-Grain Replay-Rubric Run's Per-Quarter Rollup-Trend-Layer Composition Rule, per-quarter rollup-trend-layer composition rule anchor, https://amtocsoft.blogspot.com/2026/05/223-federation-grain-replay-rubric-run-per-quarter-rollup-trend-layer-composition.html
- Companion LinkedIn article (LA-079): The Per-Task Annual Review-Pass Cadence-Shift Composition Rule, application-execution-layer annual review-pass cadence-shift series part two anchor, https://www.linkedin.com/pulse/la-079-application-execution-layer-annual-review-pass-cadence-shift-toc-am/
About the Author
Toc Am
Founder of AmtocSoft. Writing practical deep-dives on AI engineering, cloud architecture, and developer tooling. Previously built backend systems at scale. Reviews every post published under this byline.
Published: 2026-05-14 · Written with AI assistance, reviewed by Toc Am.
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