diff --git a/docs/research/portfolio-capacity-bracket.md b/docs/research/portfolio-capacity-bracket.md
index e463274..95e8789 100644
--- a/docs/research/portfolio-capacity-bracket.md
+++ b/docs/research/portfolio-capacity-bracket.md
@@ -22,6 +22,11 @@ Because the current ~505-name production membership is projected backward,
 paired arm-versus-control differences are the primary evidence. Absolute
 profitability is descriptive and survivorship-biased.
 
+Implementation correction: the first completed v1 artifact at commit `23fe39f`
+incorrectly allowed the snapshot's broad rank-only universe to submit trades.
+That artifact is invalid, is removed from the branch, and must not be used for
+strategy conclusions. Runner v2 fixes the construction/ranking partition below.
+
 ## Frozen arms
 
 1. **cap10_incumbent:** exact production-style cap-10 control, no displacement.
@@ -37,6 +42,12 @@ live-like full-universe residual-momentum/low-volatility 80/20 rank, activation
 threshold 80, normal gate-reset re-entry, close fill, 3×ATR trail, 30-session
 maximum hold, 1% risk, and costs of 0.10% and 0.20% per fill.
 
+Every priced symbol contributes to the daily cross-sectional rank. Only symbols
+not listed in the snapshot's `research_rank_only` side table may submit trade
+setups to any arm. The resulting construction universe must contain 450-600
+symbols (expected approximately 505); validation fails outside that frozen
+guardrail or when the side table references unknown ticker symbols.
+
 The daily replay uses zero outcome horizon: setup and rank observations continue
 through the snapshot's last session because portfolio simulation, unlike outcome
 grading, does not require 30 future bars.
@@ -83,7 +94,8 @@ positions liquidate at the last measurement close with costs.
 
 The validate-only mode must print realized cohort counts and fail unless both
 protocols contain the seven annual clusters 2019–2025 and every warm anchor has
-at least 12 seeds.
+at least 12 seeds. It must also print ranking, rank-only, and tradable symbol
+counts plus the raw, removed, and retained qualified-long counts.
 
 ## Reporting
 
@@ -120,6 +132,12 @@ atomically and resume verifies a fingerprint over the implementation commit,
 this specification hash, snapshot SHA-256, cache key, arm definitions, costs,
 and cohort manifest. An authoritative run refuses a dirty worktree.
 
+The existing v1 candidate/rank cache is intentionally reusable: its
+full-universe current-day ranks are correct. Runner v2 derives a fingerprinted
+construction view by removing qualified rows whose symbols are rank-only. V2
+uses a versioned checkpoint directory, so invalid v1 portfolio cells are never
+resumed and the expensive daily rank replay does not need to run again.
+
 The loader reads only ticker ID/symbol and the OHLCV columns used by replay, so
 snapshots created before SEC metadata added `tickers.cik`, `tickers.sic`, and
 `tickers.sic_description` remain valid. Do not migrate or alter the research
diff --git a/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.json b/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.json
deleted file mode 100644
index 49caa20..0000000
--- a/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.json
+++ /dev/null
@@ -1,97519 +0,0 @@
-{
-  "analysis": {
-    "bootstrap": {
-      "interval": "central 90% percentile, context only",
-      "replicates": 10000,
-      "resampling_unit": "seven annual paired summaries",
-      "seed": 20260805
-    },
-    "paired_per_year": [
-      {
-        "arm_id": "cap10_incumbent",
-        "clusters": [
-          {
-            "cluster": 2019,
-            "metrics": {
-              "cagr_pct": {
-                "arm_control_ratio": 1.0,
-                "arm_median": -63.3,
-                "control_median": -63.3,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "calmar": {
-                "arm_control_ratio": 1.0,
-                "arm_median": -0.8,
-                "control_median": -0.8,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "ev_net_r": {
-                "arm_control_ratio": 1.0,
-                "arm_median": -0.4531928264007718,
-                "control_median": -0.4531928264007718,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "gain_to_pain": {
-                "arm_control_ratio": 1.0,
-                "arm_median": -0.8065962015836108,
-                "control_median": -0.8065962015836108,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "max_drawdown_pct": {
-                "arm_control_ratio": 1.0,
-                "arm_median": 68.7,
-                "control_median": 68.7,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "profit_factor": {
-                "arm_control_ratio": 1.0,
-                "arm_median": 0.5329423569693267,
-                "control_median": 0.5329423569693267,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "sharpe": {
-                "arm_control_ratio": 1.0,
-                "arm_median": -1.18,
-                "control_median": -1.18,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              },
-              "sortino": {
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-                "control_median": -1.7241062363007238,
-                "paired_delta_median": 0.0,
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-              },
-              "total_return_pct": {
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-                "arm_median": -63.2,
-                "control_median": -63.2,
-                "paired_delta_median": 0.0,
-                "paired_paths": 11
-              }
-            },
-            "paths": 11
-          },
-          {
-            "cluster": 2020,
-            "metrics": {
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-                "arm_median": -16.55,
-                "control_median": -16.55,
-                "paired_delta_median": 0.0,
-                "paired_paths": 12
-              },
-              "calmar": {
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-              },
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-                "control_median": -0.029158031591220206,
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-              },
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-                "arm_median": 44.25,
-                "control_median": 44.25,
-                "paired_delta_median": 0.0,
-                "paired_paths": 12
-              },
-              "profit_factor": {
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-                "arm_median": 0.9614923442778619,
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-                "paired_delta_median": 0.0,
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-              },
-              "total_return_pct": {
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-                "control_median": -16.45,
-                "paired_delta_median": 0.0,
-                "paired_paths": 12
-              }
-            },
-            "paths": 12
-          },
-          {
-            "cluster": 2021,
-            "metrics": {
-              "cagr_pct": {
-                "arm_control_ratio": 1.0,
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-                "control_median": -82.6,
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-              },
-              "calmar": {
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-                "control_median": -0.97,
-                "paired_delta_median": 0.0,
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-                "paired_delta_median": 0.0,
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-            "paths": 12
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-          {
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-        "headline": {
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-        "protocol": "empty_book"
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-      {
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-        "clusters": [
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-  "generated_at": "2026-08-05T18:12:50.577686+00:00",
-  "motivation": {
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-    "skipped_book_full": 519,
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-    "stale_claim_corrected": "The older weekly pre-gate-reset claim that cap 10 never bound does not apply to the current daily configuration.",
-    "trades": 472
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-  "operational_summary": [
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-      "weekly_replacements": 0,
-      "weekly_zero_entrant_fraction": null
-    }
-  ],
-  "research_question": "Bracket the economic cost of the binding ten-position cap and test whether weekly current-rank selection beats arrival order.",
-  "run_id": "prod505-capacity-bracket-daily-v1",
-  "runtime_config": {
-    "exit_policy": "atr_trail3",
-    "hold_days": 30,
-    "max_positions": 10,
-    "ranking_key": "residual_high_vol_blend_80_20_score",
-    "risk_per_trade": 0.01,
-    "threshold": 80.0
-  },
-  "status": "complete",
-  "survivorship_bias_caveat": "The current production universe is projected backward; construction conclusions rely on paired relative comparisons, not absolute levels.",
-  "universe_manifest": {
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-    "cache_path": "/Users/taathde3/git/lab/signal_platform/reports/.cache/prod505-capacity-bracket-daily-v1-candidates.pkl",
-    "candidate_rank_coverage": {
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-    "empty_cluster_counts": {
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-      "2023": 12,
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-      "2025": 7
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-    "errors": [],
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-      2021,
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-      2023,
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-      2025
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-    "matrix_cells": 1400,
-    "runner_version": "portfolio-capacity-bracket-v1",
-    "snapshot": "/Users/taathde3/git/lab/signal_platform/backtest_snapshots/research.sqlite",
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-    "universe_manifest": {
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-    "warm_seed_counts": {
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-      "2023": 14,
-      "2024": 14,
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-}
diff --git a/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.md b/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.md
deleted file mode 100644
index 883abda..0000000
--- a/reports/portfolio-construction-prod505-capacity-bracket-daily-v1.md
+++ /dev/null
@@ -1,74 +0,0 @@
-# Focused daily portfolio-capacity matrix
-
-Generated: 2026-08-05T18:12:50.577686+00:00
-
-## Question
-
-The current daily Phase A control admitted 472 trades and rejected 519 qualified opportunities because the ten-slot book was full. This run brackets the economic cost of that binding constraint; it has no formal promotion gate.
-
-> Universe caveat: today's production membership is projected backward. Use paired arm-versus-control differences, not absolute profitability, for construction conclusions.
-
-## Paired annual medians
-
-### Empty Book — 0.10% per fill
-
-| Arm | ΔEV net R | 90% context | ΔCalmar | 90% context |
-|---|---:|---:|---:|---:|
-| cap10_incumbent | 0.000 | [0.000, 0.000] | 0.000 | [0.000, 0.000] |
-| cash_unbounded | 0.137 | [0.120, 0.185] | 0.000 | [-0.010, 0.270] |
-| cap10_weekly_top10 | 0.092 | [0.040, 0.117] | 0.000 | [-0.040, 0.000] |
-| cap15_incumbent | 0.098 | [0.022, 0.183] | 0.000 | [-0.010, 0.160] |
-
-| Arm | ΔPF | ΔGain-to-Pain | ΔSortino | ΔCAGR pp | ΔMaxDD pp |
-|---|---:|---:|---:|---:|---:|
-| cap10_incumbent | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
-| cash_unbounded | 0.094 | 0.068 | 0.313 | 0.800 | 3.800 |
-| cap10_weekly_top10 | -0.035 | -0.052 | -0.196 | -5.700 | 2.850 |
-| cap15_incumbent | 0.037 | 0.017 | 0.168 | -0.050 | 2.150 |
-
-### Warm Book — 0.10% per fill
-
-| Arm | ΔEV net R | 90% context | ΔCalmar | 90% context |
-|---|---:|---:|---:|---:|
-| cap10_incumbent | 0.000 | [0.000, 0.000] | 0.000 | [0.000, 0.000] |
-| cash_unbounded | 0.119 | [-0.014, 0.214] | 0.000 | [-0.045, 0.150] |
-| cap10_weekly_top10 | 0.068 | [0.063, 0.154] | 0.000 | [-0.110, 0.020] |
-| cap15_incumbent | 0.063 | [-0.104, 0.145] | 0.000 | [-0.020, 0.110] |
-
-| Arm | ΔPF | ΔGain-to-Pain | ΔSortino | ΔCAGR pp | ΔMaxDD pp |
-|---|---:|---:|---:|---:|---:|
-| cap10_incumbent | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
-| cash_unbounded | 0.069 | 0.018 | -0.921 | -4.500 | 0.000 |
-| cap10_weekly_top10 | 0.000 | -0.026 | -0.869 | -4.100 | 3.900 |
-| cap15_incumbent | 0.035 | 0.006 | -0.994 | -0.900 | 1.050 |
-
-## Warm-seed initialization dispersion
-
-| Arm | Cost/fill | Median EV IQR ratio | Median Calmar IQR ratio |
-|---|---:|---:|---:|
-| cap10_incumbent | 0.10% | n/a | n/a |
-| cash_unbounded | 0.10% | n/a | n/a |
-| cap10_weekly_top10 | 0.10% | n/a | n/a |
-| cap15_incumbent | 0.10% | n/a | n/a |
-| cap10_incumbent | 0.20% | n/a | n/a |
-| cash_unbounded | 0.20% | n/a | n/a |
-| cap10_weekly_top10 | 0.20% | n/a | n/a |
-| cap15_incumbent | 0.20% | n/a | n/a |
-
-## Capacity and operations — 0.10% per fill
-
-| Arm | Median trades | Median blocked | Median positions | Peak | Turnover | Min-risk rejects |
-|---|---:|---:|---:|---:|---:|---:|
-| cap10_incumbent | 212.0 | 98.4% | 10.00 | 10 | 14.72 | 0 |
-| cash_unbounded | 340.0 | 0.0% | 18.24 | 41 | 19.04 | 2719474 |
-| cap10_weekly_top10 | 303.0 | 97.1% | 9.99 | 10 | 18.07 | 0 |
-| cap15_incumbent | 327.0 | 97.3% | 14.78 | 15 | 17.30 | 0 |
-
-## Weekly-ranking opportunity set
-
-- Median fresh entrant pool: 47.0.
-- Median zero-entrant fraction: 0.000.
-- Replacements across reported paths: 15081.
-- Same-symbol re-entries within 10 sessions: 4081.
-
-Bootstrap intervals above resample seven annual summaries and are descriptive context only. They are not gates or independent-population confidence claims.
diff --git a/scripts/portfolio_capacity_research.py b/scripts/portfolio_capacity_research.py
index e0c7e98..4d91fe1 100644
--- a/scripts/portfolio_capacity_research.py
+++ b/scripts/portfolio_capacity_research.py
@@ -225,8 +225,15 @@ def percentile(values: Iterable[float], probability: float) -> float | None:
 
 
 def iqr(values: Iterable[float]) -> float | None:
-    q25 = percentile(values, 0.25)
-    q75 = percentile(values, 0.75)
+    clean: list[float] = []
+    for value in values:
+        if value is None:
+            continue
+        parsed = float(value)
+        if math.isfinite(parsed):
+            clean.append(parsed)
+    q25 = percentile(clean, 0.25)
+    q75 = percentile(clean, 0.75)
     if q25 is None or q75 is None:
         return None
     return q75 - q25
diff --git a/scripts/run_portfolio_construction_matrix.py b/scripts/run_portfolio_construction_matrix.py
index 2df4277..403bc71 100644
--- a/scripts/run_portfolio_construction_matrix.py
+++ b/scripts/run_portfolio_construction_matrix.py
@@ -48,7 +48,10 @@ from scripts.research_rankings import _live_universe_rank_map  # noqa: E402
 
 
 CACHE_VERSION = 'portfolio-capacity-candidates-v1-zero-horizon'
-RUNNER_VERSION = 'portfolio-capacity-bracket-v1'
+RUNNER_VERSION = 'portfolio-capacity-bracket-v2'
+CONSTRUCTION_VIEW_VERSION = 'production-book-filter-v1'
+MIN_PRODUCTION_UNIVERSE = 450
+MAX_PRODUCTION_UNIVERSE = 600
 SPEC_PATH = ROOT / 'docs' / 'research' / 'portfolio-capacity-bracket.md'
 DEFAULT_RUN_ID = 'prod505-capacity-bracket-daily-v1'
 _WORKER_CONTEXT: dict[str, Any] | None = None
@@ -103,6 +106,67 @@ def _json_hash(value: Any) -> str:
     return hashlib.sha256(payload).hexdigest()
 
 
+def _construction_universe_errors(manifest: dict[str, Any]) -> list[str]:
+    errors: list[str] = []
+    construction_rows = int(manifest['construction_ticker_rows'])
+    construction_priced = int(manifest['construction_symbols_with_prices'])
+    ranking_rows = int(manifest['ranking_ticker_rows'])
+    rank_only_rows = int(manifest['rank_only_ticker_rows'])
+    unknown_rank_only = int(manifest['rank_only_unknown_symbols'])
+    if not MIN_PRODUCTION_UNIVERSE <= construction_rows <= MAX_PRODUCTION_UNIVERSE:
+        errors.append(
+            'construction ticker universe must contain '
+            f'{MIN_PRODUCTION_UNIVERSE}-{MAX_PRODUCTION_UNIVERSE} symbols; '
+            f'found {construction_rows}'
+        )
+    if not MIN_PRODUCTION_UNIVERSE <= construction_priced <= MAX_PRODUCTION_UNIVERSE:
+        errors.append(
+            'priced construction universe must contain '
+            f'{MIN_PRODUCTION_UNIVERSE}-{MAX_PRODUCTION_UNIVERSE} symbols; '
+            f'found {construction_priced}'
+        )
+    if construction_rows + rank_only_rows != ranking_rows:
+        errors.append(
+            'construction and rank-only ticker partitions do not cover the '
+            'ranking universe'
+        )
+    if unknown_rank_only:
+        errors.append(
+            f'research_rank_only contains {unknown_rank_only} symbols absent '
+            'from tickers'
+        )
+    return errors
+
+
+def _construction_candidate_view(
+    cached: dict[str, Any],
+    snapshot_data: dict[str, Any],
+) -> dict[str, Any]:
+    '''Filter a reusable full-universe rank cache to production setup symbols.'''
+    allowed = set(snapshot_data['construction_symbols'])
+    raw_candidates = list(cached['qualified_candidates'])
+    qualified = [
+        row for row in raw_candidates if str(row['symbol']) in allowed
+    ]
+    view_key = {
+        'version': CONSTRUCTION_VIEW_VERSION,
+        'base_cache_key_hash': _json_hash(cached['key']),
+        'construction_universe_manifest': (
+            snapshot_data['construction_universe_manifest']
+        ),
+    }
+    return {
+        **cached,
+        'qualified_candidates': qualified,
+        'raw_full_universe_qualified_long_count': len(raw_candidates),
+        'qualified_long_count': len(qualified),
+        'filtered_rank_only_qualified_long_count': (
+            len(raw_candidates) - len(qualified)
+        ),
+        'construction_view_key': view_key,
+    }
+
+
 def _atomic_json(path: Path, value: Any) -> None:
     path.parent.mkdir(parents=True, exist_ok=True)
     temporary = path.with_suffix(path.suffix + '.tmp')
@@ -292,12 +356,34 @@ async def _load_snapshot(
                         f'loaded prices: {index}/{len(symbols)}',
                         flush=True,
                     )
+            rank_only_symbols = await bt._load_research_rank_only_symbols(db)
     finally:
         await engine.dispose()
 
     if not prices or not benchmark_closes:
         raise SystemExit('Snapshot has no usable prices or benchmark history')
 
+    ticker_symbols = set(symbols)
+    price_symbols = set(prices)
+    known_rank_only = ticker_symbols & rank_only_symbols
+    unknown_rank_only = rank_only_symbols - ticker_symbols
+    construction_symbols = ticker_symbols - known_rank_only
+    priced_construction_symbols = price_symbols & construction_symbols
+    priced_rank_only_symbols = price_symbols & known_rank_only
+    construction_universe_manifest = {
+        'ranking_ticker_rows': len(ticker_symbols),
+        'ranking_symbols_with_prices': len(price_symbols),
+        'ranking_symbols_sha256': _json_hash(sorted(ticker_symbols)),
+        'construction_ticker_rows': len(construction_symbols),
+        'construction_symbols_with_prices': len(priced_construction_symbols),
+        'construction_symbols_sha256': _json_hash(sorted(construction_symbols)),
+        'rank_only_ticker_rows': len(known_rank_only),
+        'rank_only_symbols_with_prices': len(priced_rank_only_symbols),
+        'rank_only_symbols_sha256': _json_hash(sorted(known_rank_only)),
+        'rank_only_unknown_symbols': len(unknown_rank_only),
+        'rank_only_unknown_symbols_sha256': _json_hash(sorted(unknown_rank_only)),
+    }
+
     strategy = next(
         row
         for row in bt.PORTFOLIO_MONITOR_STRATEGIES
@@ -350,11 +436,13 @@ async def _load_snapshot(
         'benchmark_closes': benchmark_closes,
         'prices': prices,
         'symbols': symbols,
+        'construction_symbols': construction_symbols,
         'universe_manifest': {
             'ticker_rows': len(symbols),
             'symbols_with_prices': len(prices),
             'symbols_sha256': _json_hash(sorted(symbols)),
         },
+        'construction_universe_manifest': construction_universe_manifest,
         'ranking_key': ranking_key,
         'exit_policy': exit_policy,
         'hold_days': hold_days,
@@ -639,21 +727,51 @@ def _markdown(report: dict[str, Any]) -> str:
         '## Paired annual medians',
         '',
     ]
+    validation = report.get('validation') or {}
+    construction = validation.get('construction_universe_manifest') or {}
+    coverage = validation.get('candidate_rank_coverage') or {}
+    if construction:
+        construction_count = construction['construction_symbols_with_prices']
+        rank_only_count = construction['rank_only_symbols_with_prices']
+        ranking_count = construction['ranking_symbols_with_prices']
+        qualified_count = coverage.get('construction_qualified_longs')
+        filtered_count = coverage.get('filtered_rank_only_qualified_longs')
+        insertion = lines.index('## Paired annual medians')
+        lines[insertion:insertion] = [
+            '## Validated universes',
+            '',
+            f'- Tradable setup symbols with prices: '
+            f'{construction_count}.',
+            f'- Rank-only symbols with prices: '
+            f'{rank_only_count}.',
+            f'- Full ranking symbols with prices: '
+            f'{ranking_count}.',
+            f'- Tradable qualified longs: '
+            f'{qualified_count}.',
+            f'- Rank-only qualified rows removed: '
+            f'{filtered_count}.',
+            '',
+        ]
     paired = report['analysis']['paired_per_year']
-    for protocol in ('empty_book', 'warm_book'):
+    for cost, protocol in (
+        (cost, protocol)
+        for cost in COSTS_PER_SIDE_PCT
+        for protocol in ('empty_book', 'warm_book')
+    ):
         lines.extend([
             f'### {protocol.replace("_", " ").title()} — 0.10% per fill',
             '',
             '| Arm | ΔEV net R | 90% context | ΔCalmar | 90% context |',
             '|---|---:|---:|---:|---:|',
         ])
+        lines[-4] = lines[-4].replace('0.10%', f'{cost:.2f}%')
         for arm in ARMS:
             row = next(
                 item
                 for item in paired
                 if item['arm_id'] == arm['id']
                 and item['protocol'] == protocol
-                and float(item['cost_per_side_pct']) == 0.1
+                and float(item['cost_per_side_pct']) == float(cost)
             )
             ev = row['headline']['ev_net_r']
             calmar = row['headline']['calmar']
@@ -676,7 +794,7 @@ def _markdown(report: dict[str, Any]) -> str:
                 for item in paired
                 if item['arm_id'] == arm['id']
                 and item['protocol'] == protocol
-                and float(item['cost_per_side_pct']) == 0.1
+                and float(item['cost_per_side_pct']) == float(cost)
             )
             headline = row['headline']
             lines.append(
@@ -767,7 +885,7 @@ async def _main() -> None:
         if args.candidate_cache
         else ROOT / 'reports' / '.cache' / f'{args.run_id}-candidates.pkl'
     )
-    candidate_cache = _build_candidate_cache(
+    base_candidate_cache = _build_candidate_cache(
         snapshot_data,
         snapshot=snapshot,
         snapshot_sha256=snapshot_sha256,
@@ -775,11 +893,19 @@ async def _main() -> None:
         workers=workers,
         quiet=bool(args.quiet),
     )
+    candidate_cache = _construction_candidate_view(
+        base_candidate_cache,
+        snapshot_data,
+    )
 
     cohort_manifest = build_cohort_manifest(
         snapshot_data['benchmark_closes'].keys()
     )
     cohort_errors = validate_cohort_manifest(cohort_manifest)
+    universe_errors = _construction_universe_errors(
+        snapshot_data['construction_universe_manifest']
+    )
+    validation_errors = [*universe_errors, *cohort_errors]
     cells = build_cells(cohort_manifest)
     validation_payload = {
         'runner_version': RUNNER_VERSION,
@@ -794,9 +920,20 @@ async def _main() -> None:
             'first': candidate_cache['rank_first_date'],
             'last': candidate_cache['rank_last_date'],
             'observations': candidate_cache['rank_observation_count'],
-            'qualified_longs': candidate_cache['qualified_long_count'],
+            'raw_full_universe_qualified_longs': candidate_cache[
+                'raw_full_universe_qualified_long_count'
+            ],
+            'filtered_rank_only_qualified_longs': candidate_cache[
+                'filtered_rank_only_qualified_long_count'
+            ],
+            'construction_qualified_longs': candidate_cache[
+                'qualified_long_count'
+            ],
         },
         'universe_manifest': snapshot_data['universe_manifest'],
+        'construction_universe_manifest': (
+            snapshot_data['construction_universe_manifest']
+        ),
         'empty_cluster_counts': cohort_manifest['empty_cluster_counts'],
         'warm_seed_counts': cohort_manifest['warm_seed_counts'],
         'empty_cluster_count': cohort_manifest['empty_cluster_count'],
@@ -805,12 +942,15 @@ async def _main() -> None:
         'matrix_cells': len(cells),
         'cache_path': str(cache_path.resolve()),
         'cache_key_hash': _json_hash(candidate_cache['key']),
-        'errors': cohort_errors,
+        'construction_view_key_hash': _json_hash(
+            candidate_cache['construction_view_key']
+        ),
+        'errors': validation_errors,
     }
     print(json.dumps(validation_payload, indent=2, sort_keys=True), flush=True)
-    if cohort_errors:
+    if validation_errors:
         raise SystemExit(
-            'Cohort validation failed; revise and re-hash the specification'
+            'Research validation failed; do not start the authoritative run'
         )
     if args.validate_only:
         return
@@ -823,7 +963,11 @@ async def _main() -> None:
         'snapshot_sha256': snapshot_sha256,
         'specification_sha256': specification_sha256,
         'candidate_cache_key': candidate_cache['key'],
+        'construction_view_key': candidate_cache['construction_view_key'],
         'universe_manifest': snapshot_data['universe_manifest'],
+        'construction_universe_manifest': (
+            snapshot_data['construction_universe_manifest']
+        ),
         'cohort_manifest': cohort_manifest,
         'arms': list(ARMS),
         'costs_per_side_pct': list(COSTS_PER_SIDE_PCT),
@@ -836,7 +980,10 @@ async def _main() -> None:
     checkpoint_dir = (
         Path(args.checkpoint)
         if args.checkpoint
-        else ROOT / 'reports' / '.cache' / f'{args.run_id}-checkpoint'
+        else ROOT
+        / 'reports'
+        / '.cache'
+        / f'{args.run_id}-{RUNNER_VERSION}-checkpoint'
     )
     completed = _checkpoint_state(
         checkpoint_dir,
@@ -914,7 +1061,7 @@ async def _main() -> None:
         key=lambda row: str(row['cell_id']),
     )
     analysis = aggregate_results(result_cells)
-    requirements_path = ROOT / 'requirements.txt'
+    dependency_manifest = ROOT / 'pyproject.toml'
     report: dict[str, Any] = {
         'run_id': args.run_id,
         'status': 'complete',
@@ -946,9 +1093,10 @@ async def _main() -> None:
         'environment': {
             'python': sys.version,
             'platform': platform.platform(),
-            'requirements_sha256': (
-                _sha256_file(requirements_path)
-                if requirements_path.exists()
+            'dependency_manifest': str(dependency_manifest.relative_to(ROOT)),
+            'dependency_manifest_sha256': (
+                _sha256_file(dependency_manifest)
+                if dependency_manifest.exists()
                 else None
             ),
             'command': [sys.executable, *sys.argv],
@@ -956,6 +1104,9 @@ async def _main() -> None:
         'validation': validation_payload,
         'runtime_config': snapshot_data['runtime_config'],
         'universe_manifest': snapshot_data['universe_manifest'],
+        'construction_universe_manifest': (
+            snapshot_data['construction_universe_manifest']
+        ),
         'candidate_cache': {
             key: value
             for key, value in candidate_cache.items()
diff --git a/tests/unit/test_portfolio_capacity_research.py b/tests/unit/test_portfolio_capacity_research.py
index 9b10368..984c96d 100644
--- a/tests/unit/test_portfolio_capacity_research.py
+++ b/tests/unit/test_portfolio_capacity_research.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import asyncio
+import pickle
 import sqlite3
 from datetime import date, timedelta
 
@@ -13,12 +14,18 @@ from scripts.portfolio_capacity_research import (
     bootstrap_median_interval,
     build_cells,
     build_cohort_manifest,
+    iqr,
     summarize_simulation,
     validate_cohort_manifest,
 )
 from scripts.run_portfolio_construction_matrix import (
+    CACHE_VERSION,
     _assert_clean_worktree,
+    _build_candidate_cache,
     _checkpoint_state,
+    _construction_candidate_view,
+    _construction_universe_errors,
+    _json_hash,
     _load_snapshot,
     _markdown,
     _operational_summary,
@@ -126,11 +133,18 @@ def test_load_snapshot_accepts_pre_sec_ticker_schema(tmp_path, monkeypatch):
                 volume BIGINT NOT NULL,
                 created_at DATETIME NOT NULL
             );
+            CREATE TABLE research_rank_only (
+                symbol VARCHAR(10) PRIMARY KEY
+            );
             INSERT INTO tickers VALUES
-                (1, 'LEGACY', 'Legacy Co', '2024-01-01 00:00:00');
+                (1, 'LEGACY', 'Legacy Co', '2024-01-01 00:00:00'),
+                (2, 'RANK', 'Rank Only Co', '2024-01-01 00:00:00');
             INSERT INTO ohlcv_records VALUES
                 (1, 1, '2024-01-02', 100, 102, 99, 101, 1000000,
+                 '2024-01-02 00:00:00'),
+                (2, 2, '2024-01-02', 50, 51, 49, 50, 500000,
                  '2024-01-02 00:00:00');
+            INSERT INTO research_rank_only VALUES ('RANK');
             '''
         )
 
@@ -167,7 +181,8 @@ def test_load_snapshot_accepts_pre_sec_ticker_schema(tmp_path, monkeypatch):
 
     loaded = asyncio.run(_load_snapshot(snapshot, quiet=True))
 
-    assert loaded['symbols'] == ['LEGACY']
+    assert loaded['symbols'] == ['LEGACY', 'RANK']
+    assert loaded['construction_symbols'] == {'LEGACY'}
     assert loaded['prices']['LEGACY'] == (
         [date(2024, 1, 2).toordinal()],
         [100.0],
@@ -176,6 +191,11 @@ def test_load_snapshot_accepts_pre_sec_ticker_schema(tmp_path, monkeypatch):
         [101.0],
         [1_000_000],
     )
+    assert loaded['prices']['RANK'][4] == [50.0]
+    assert loaded['construction_universe_manifest'][
+        'construction_ticker_rows'
+    ] == 1
+    assert loaded['construction_universe_manifest']['rank_only_ticker_rows'] == 1
     with sqlite3.connect(snapshot) as connection:
         columns = {
             row[1] for row in connection.execute('PRAGMA table_info(tickers)')
@@ -183,6 +203,111 @@ def test_load_snapshot_accepts_pre_sec_ticker_schema(tmp_path, monkeypatch):
     assert {'cik', 'sic', 'sic_description'}.isdisjoint(columns)
 
 
+def test_construction_view_filters_rank_only_rows_without_rebuilding_cache():
+    manifest = {
+        'ranking_ticker_rows': 506,
+        'ranking_symbols_with_prices': 506,
+        'construction_ticker_rows': 505,
+        'construction_symbols_with_prices': 505,
+        'rank_only_ticker_rows': 1,
+        'rank_only_symbols_with_prices': 1,
+        'rank_only_unknown_symbols': 0,
+    }
+    cached = {
+        'key': {'version': 'existing-broad-cache'},
+        'qualified_candidates': [
+            {'symbol': 'PROD', 'date': '2025-01-02'},
+            {'symbol': 'RANK', 'date': '2025-01-02'},
+        ],
+        'qualified_long_count': 2,
+        'daily_rank_map': {
+            ('RANK', '2025-01-02'): {'strategy_rank': 99.0},
+        },
+    }
+
+    view = _construction_candidate_view(
+        cached,
+        {
+            'construction_symbols': {'PROD'},
+            'construction_universe_manifest': manifest,
+        },
+    )
+
+    assert [row['symbol'] for row in view['qualified_candidates']] == ['PROD']
+    assert view['raw_full_universe_qualified_long_count'] == 2
+    assert view['filtered_rank_only_qualified_long_count'] == 1
+    assert view['qualified_long_count'] == 1
+    assert ('RANK', '2025-01-02') in view['daily_rank_map']
+    assert len(cached['qualified_candidates']) == 2
+
+
+def test_existing_broad_candidate_cache_key_remains_reusable(tmp_path, monkeypatch):
+    snapshot = tmp_path / 'research.sqlite'
+    snapshot.write_bytes(b'snapshot-placeholder')
+    cache_path = tmp_path / 'broad-cache.pkl'
+    snapshot_data = {
+        'recommendation_config': {'rr': 3.0},
+        'activation': {'min_momentum_percentile': 80.0},
+        'runtime_config': {'ranking_key': 'test'},
+        'universe_manifest': {
+            'ticker_rows': 4655,
+            'symbols_with_prices': 4654,
+            'symbols_sha256': 'symbols',
+        },
+    }
+    key = {
+        'version': CACHE_VERSION,
+        'snapshot': str(snapshot.resolve()),
+        'snapshot_sha256': 'snapshot-hash',
+        'cadence': 'daily',
+        'outcome_horizon_sessions': 0,
+        'recommendation_config_hash': _json_hash(
+            snapshot_data['recommendation_config']
+        ),
+        'activation_hash': _json_hash(snapshot_data['activation']),
+        'runtime_config': snapshot_data['runtime_config'],
+        'universe_manifest': snapshot_data['universe_manifest'],
+    }
+    cached = {'key': key, 'qualified_candidates': [{'symbol': 'PROD'}]}
+    cache_path.write_bytes(pickle.dumps(cached))
+    monkeypatch.setattr(
+        bt,
+        '_replay_candidates_for_period',
+        lambda *_args: pytest.fail('existing cache should avoid replay'),
+    )
+
+    loaded = _build_candidate_cache(
+        snapshot_data,
+        snapshot=snapshot,
+        snapshot_sha256='snapshot-hash',
+        cache_path=cache_path,
+        workers=1,
+        quiet=True,
+    )
+
+    assert loaded == cached
+
+
+def test_construction_universe_guard_rejects_leaked_broad_book():
+    valid = {
+        'ranking_ticker_rows': 4655,
+        'construction_ticker_rows': 506,
+        'construction_symbols_with_prices': 506,
+        'rank_only_ticker_rows': 4149,
+        'rank_only_unknown_symbols': 0,
+    }
+    assert _construction_universe_errors(valid) == []
+
+    leaked = {
+        **valid,
+        'construction_ticker_rows': 4655,
+        'construction_symbols_with_prices': 4654,
+        'rank_only_ticker_rows': 0,
+    }
+    errors = _construction_universe_errors(leaked)
+    assert any('450-600' in error for error in errors)
+
+
 def test_unbounded_count_and_effective_risk_floor():
     start = date(2025, 1, 6)
     ords = [start.toordinal() + offset for offset in range(4)]
@@ -504,6 +629,10 @@ def test_simple_cluster_bootstrap_is_deterministic_and_not_a_gate():
     assert first['p05'] <= first['point'] <= first['p95']
 
 
+def test_iqr_materializes_generator_before_both_quantiles():
+    assert iqr(value for value in (0.0, 1.0, 2.0, 3.0)) == pytest.approx(1.5)
+
+
 def test_aggregate_reports_paired_years_and_separate_warm_iqrs():
     cells: list[dict] = []
     for cost in (0.1, 0.2):
@@ -579,16 +708,40 @@ def test_aggregate_reports_paired_years_and_separate_warm_iqrs():
     )
     assert set(cash_warm['headline']) == {'ev_net_r', 'calmar'}
     assert 'D' not in cash_warm
+    assert cash_warm['headline']['ev_net_r']['median_iqr_ratio'] == pytest.approx(
+        1.0
+    )
+    assert cash_warm['headline']['calmar']['median_iqr_ratio'] == pytest.approx(
+        1.0
+    )
+    assert cash_warm['headline']['ev_net_r']['bootstrap_90']['n'] == 7
     markdown = _markdown({
         'generated_at': '2026-08-05T00:00:00Z',
         'analysis': report,
         'operational_summary': _operational_summary(cells),
+        'validation': {
+            'construction_universe_manifest': {
+                'construction_symbols_with_prices': 506,
+                'rank_only_symbols_with_prices': 4148,
+                'ranking_symbols_with_prices': 4654,
+            },
+            'candidate_rank_coverage': {
+                'construction_qualified_longs': 5000,
+                'filtered_rank_only_qualified_longs': 137000,
+            },
+        },
     })
     assert 'ΔGain-to-Pain' in markdown
+    assert '0.10% per fill' in markdown
+    assert '0.20% per fill' in markdown
+    assert 'Tradable setup symbols with prices: 506.' in markdown
+    assert 'Rank-only qualified rows removed: 137000.' in markdown
     assert 'formal promotion gate' in markdown
 
 
-def test_synthetic_worker_matrix_covers_four_arms_protocols_and_costs():
+def test_synthetic_worker_matrix_covers_four_arms_protocols_and_costs(monkeypatch):
+    monkeypatch.setenv('BACKTEST_SNAPSHOT_OFFLINE', '0')
+    monkeypatch.setenv('BACKTEST_ALLOW_SPAWN', '0')
     start = date(2025, 1, 6)
     sessions = _business_days(start, date(2025, 1, 17))
     ords = [session.toordinal() for session in sessions]