feat(lab): publish E39 refinement result

2026-07-28 10:06:57 +03:00
parent 6e5124bd9c
commit 1f20e0d7d9
9 changed files with 770 additions and 9 deletions
@@ -179,6 +179,48 @@ export interface E38PerceptionBaselineResult {
  access: "read-only";
 }

+export interface E39DevelopmentDimensionMetric {
+  correct: number;
+  incorrect: number;
+  total: number;
+  accuracy: number;
+  target: number;
+  passed: boolean;
+}
+
+export interface E39PerceptionRefinementResult {
+  resultId: string;
+  createdAtUtc: string | null;
+  sourceSessionId: string;
+  sourceDisplayName: string;
+  status: "measured-r1-source-scoped-refinement";
+  profileId: string;
+  workerNode: string;
+  qualityGatePassed: boolean;
+  developmentCrossValidation: {
+    strategy: string;
+    seed: string;
+    folds: number;
+    items: number;
+    validationLabelsUsed: false;
+    passed: boolean;
+    dimensions: {
+      presence: E39DevelopmentDimensionMetric;
+      geometryAssociation: E39DevelopmentDimensionMetric;
+      freshness: E39DevelopmentDimensionMetric;
+    };
+  };
+  metrics: E38PerceptionBaselineResult["metrics"];
+  blockingChecks: readonly string[];
+  method: {
+    summary: string;
+    selection: string;
+    dimensionProjection: string;
+  };
+  limitations: readonly string[];
+  access: "read-only";
+}
+
 export interface AdvancedLaboratoryResults {
  e31: E31LaboratoryResult | null;
  e32: E32LaboratoryResult | null;
@@ -187,6 +229,7 @@ export interface AdvancedLaboratoryResults {
  e35: E35DegradationRecoveryResult | null;
  e37: E37AcceptanceContractResult | null;
  e38: E38PerceptionBaselineResult | null;
+  e39: E39PerceptionRefinementResult | null;
 }

 export class AdvancedLaboratoryContractError extends Error {
@@ -248,6 +291,13 @@ function trueValue(value: unknown, label: string): true {
  return true;
 }

+function falseValue(value: unknown, label: string): false {
+  if (value !== false) {
+    throw new AdvancedLaboratoryContractError(`${label}: ожидалось false.`);
+  }
+  return false;
+}
+
 function finiteNumber(value: unknown, label: string): number {
  if (typeof value !== "number" || !Number.isFinite(value)) {
    throw new AdvancedLaboratoryContractError(`${label}: ожидалось число.`);
@@ -728,6 +778,155 @@ function parseE38(value: unknown): E38PerceptionBaselineResult {
  };
 }

+function parseE39DevelopmentDimension(
+  value: unknown,
+  label: string,
+): E39DevelopmentDimensionMetric {
+  const source = record(value, label);
+  return {
+    correct: integerValue(source.correct, `${label}.correct`),
+    incorrect: integerValue(source.incorrect, `${label}.incorrect`),
+    total: integerValue(source.total, `${label}.total`),
+    accuracy: numberValue(source.accuracy, `${label}.accuracy`),
+    target: numberValue(source.target, `${label}.target`),
+    passed: booleanValue(source.passed, `${label}.passed`),
+  };
+}
+
+function parseE39(value: unknown): E39PerceptionRefinementResult {
+  const item = record(value, "E39");
+  const metrics = record(item.metrics, "E39.metrics");
+  const dimensions = record(metrics.dimensions, "E39.metrics.dimensions");
+  const developmentCrossValidation = record(
+    item.development_cross_validation,
+    "E39.development_cross_validation",
+  );
+  const developmentDimensions = record(
+    developmentCrossValidation.dimensions,
+    "E39.development_cross_validation.dimensions",
+  );
+  const method = record(item.method, "E39.method");
+  diagnosticAuthority(item.authority, "E39.authority");
+  return {
+    resultId: contentId(
+      item.result_id,
+      "e39-perception-refinement",
+      "E39.result_id",
+    ),
+    createdAtUtc: optionalString(item.created_at_utc, "E39.created_at_utc"),
+    sourceSessionId: stringValue(
+      item.source_session_id,
+      "E39.source_session_id",
+    ),
+    sourceDisplayName: stringValue(
+      item.source_display_name,
+      "E39.source_display_name",
+    ),
+    status: exactString(
+      item.status,
+      "measured-r1-source-scoped-refinement",
+      "E39.status",
+    ),
+    profileId: stringValue(item.profile_id, "E39.profile_id"),
+    workerNode: stringValue(item.worker_node, "E39.worker_node"),
+    qualityGatePassed: booleanValue(
+      item.quality_gate_passed,
+      "E39.quality_gate_passed",
+    ),
+    developmentCrossValidation: {
+      strategy: stringValue(
+        developmentCrossValidation.strategy,
+        "E39.development_cross_validation.strategy",
+      ),
+      seed: stringValue(
+        developmentCrossValidation.seed,
+        "E39.development_cross_validation.seed",
+      ),
+      folds: integerValue(
+        developmentCrossValidation.folds,
+        "E39.development_cross_validation.folds",
+      ),
+      items: integerValue(
+        developmentCrossValidation.items,
+        "E39.development_cross_validation.items",
+      ),
+      validationLabelsUsed: falseValue(
+        developmentCrossValidation.validation_labels_used,
+        "E39.development_cross_validation.validation_labels_used",
+      ),
+      passed: booleanValue(
+        developmentCrossValidation.passed,
+        "E39.development_cross_validation.passed",
+      ),
+      dimensions: {
+        presence: parseE39DevelopmentDimension(
+          developmentDimensions.presence,
+          "E39.development_cross_validation.dimensions.presence",
+        ),
+        geometryAssociation: parseE39DevelopmentDimension(
+          developmentDimensions.geometry_association,
+          "E39.development_cross_validation.dimensions.geometry_association",
+        ),
+        freshness: parseE39DevelopmentDimension(
+          developmentDimensions.freshness,
+          "E39.development_cross_validation.dimensions.freshness",
+        ),
+      },
+    },
+    metrics: {
+      developmentItems: integerValue(
+        metrics.development_items,
+        "E39.metrics.development_items",
+      ),
+      validationItems: integerValue(
+        metrics.validation_items,
+        "E39.metrics.validation_items",
+      ),
+      terminalOutcomes: integerValue(
+        metrics.terminal_outcomes,
+        "E39.metrics.terminal_outcomes",
+      ),
+      accountingFraction: numberValue(
+        metrics.accounting_fraction,
+        "E39.metrics.accounting_fraction",
+      ),
+      falseFreeClaims: integerValue(
+        metrics.false_free_claims,
+        "E39.metrics.false_free_claims",
+      ),
+      highSeverityFailures: integerValue(
+        metrics.high_severity_failures,
+        "E39.metrics.high_severity_failures",
+      ),
+      dimensions: {
+        presence: parseE38Dimension(
+          dimensions.presence,
+          "E39.metrics.dimensions.presence",
+        ),
+        geometryAssociation: parseE38Dimension(
+          dimensions.geometry_association,
+          "E39.metrics.dimensions.geometry_association",
+        ),
+        freshness: parseE38Dimension(
+          dimensions.freshness,
+          "E39.metrics.dimensions.freshness",
+        ),
+      },
+    },
+    blockingChecks: strings(item.blocking_checks, "E39.blocking_checks"),
+    method: {
+      summary: stringValue(method.summary, "E39.method.summary"),
+      selection: stringValue(method.selection, "E39.method.selection"),
+      dimensionProjection: stringValue(
+        method.dimension_projection,
+        "E39.method.dimension_projection",
+      ),
+    },
+    limitations: strings(item.limitations, "E39.limitations"),
+    access: exactString(item.access, "read-only", "E39.access"),
+  };
+}
+
 async function fetchOne<T>(
  path: string,
  parser: (value: unknown) => T,
@@ -752,7 +951,7 @@ export async function fetchAdvancedLaboratoryResults({
  fetcher?: LaboratoryFetch;
  signal?: AbortSignal;
 } = {}): Promise<AdvancedLaboratoryResults> {
-  const [e31, e32, e33, e34, e35, e37, e38] = await Promise.all([
+  const [e31, e32, e33, e34, e35, e37, e38, e39] = await Promise.all([
    fetchOne("/api/v1/laboratory/e31/results?limit=1", parseE31, fetcher, signal),
    fetchOne("/api/v1/laboratory/e32/results?limit=1", parseE32, fetcher, signal),
    fetchOne("/api/v1/laboratory/e33/results?limit=1", parseE33, fetcher, signal),
@@ -760,8 +959,9 @@ export async function fetchAdvancedLaboratoryResults({
    fetchE35DegradationRecoveryResult({ fetcher, signal }),
    fetchOne("/api/v1/laboratory/e37/results?limit=1", parseE37, fetcher, signal),
    fetchOne("/api/v1/laboratory/e38/results?limit=1", parseE38, fetcher, signal),
+    fetchOne("/api/v1/laboratory/e39/results?limit=1", parseE39, fetcher, signal),
  ]);
-  return { e31, e32, e33, e34, e35, e37, e38 };
+  return { e31, e32, e33, e34, e35, e37, e38, e39 };
 }
 import {
  fetchE34TemporalLayerResult,
@@ -11,6 +11,7 @@ import { E34Result } from "./E34Result";
 import { E35Result } from "./E35Result";
 import { E37Result } from "./E37Result";
 import { E38Result } from "./E38Result";
+import { E39Result } from "./E39Result";
 import { RecordedReplayEvidence } from "./RecordedReplayEvidence";

 export type AdvancedLaboratoryWorkId =
@@ -20,7 +21,8 @@ export type AdvancedLaboratoryWorkId =
  | "e34-temporal-layer"
  | "e35-degradation-recovery"
  | "e37-ravnoves-acceptance"
-  | "e38-perception-baseline";
+  | "e38-perception-baseline"
+  | "e39-perception-refinement";

 type LaboratoryWorkspaceProps = WorkspaceRendererProps & {
  SpatialView: ComponentType<WorkspaceRendererProps>;
@@ -37,6 +39,7 @@ export function isAdvancedLaboratoryWorkId(
    || value === "e35-degradation-recovery"
    || value === "e37-ravnoves-acceptance"
    || value === "e38-perception-baseline"
+    || value === "e39-perception-refinement"
  );
 }

@@ -87,6 +90,12 @@ export function advancedLaboratoryWorkOptions(
      label: "LAB E38 · perception quality R1",
    });
  }
+  if (results.e39) {
+    options.push({
+      id: "e39-perception-refinement",
+      label: "LAB E39 · perception refinement R1",
+    });
+  }
  return options;
 }

@@ -124,6 +133,9 @@ export function AdvancedLaboratoryResult({
  failedSessionId: string | null;
  replayError: string | null;
 }) {
+  if (workId === "e39-perception-refinement" && results.e39) {
+    return <E39Result rigLabel={rigLabel} result={results.e39} />;
+  }
  if (workId === "e38-perception-baseline" && results.e38) {
    return <E38Result rigLabel={rigLabel} result={results.e38} />;
  }
@@ -0,0 +1,176 @@
+import {
+  LaboratoryEvidence,
+  LaboratoryResultSummary,
+  LaboratorySummary,
+  LaboratoryWorkTemplate,
+} from "../../components/laboratory/LaboratoryPresentation";
+import type {
+  E39PerceptionRefinementResult,
+} from "../../core/laboratory/advancedResults";
+import { formatNumber } from "../../presentation";
+
+function percent(value: number): string {
+  return `${(value * 100).toLocaleString("ru-RU", {
+    maximumFractionDigits: 1,
+  })}%`;
+}
+
+export function E39Result({
+  rigLabel,
+  result,
+}: {
+  rigLabel: string;
+  result: E39PerceptionRefinementResult;
+}) {
+  const metrics = result.metrics;
+  const dimensions = metrics.dimensions;
+  const development = result.developmentCrossValidation.dimensions;
+  const gateLabel = result.qualityGatePassed
+    ? "R1 gate пройден"
+    : "R1 gate не пройден";
+  return (
+    <LaboratoryWorkTemplate
+      summary={(
+        <LaboratorySummary
+          title="LAB E39 · refinement качества R1"
+          description="Поверх baseline E38 проверена более богатая source-scoped модель camera + LiDAR. Метод был выбран только по development-кейсам, исполнен на Worker 006 и один раз оценён на неизменяемом validation E37."
+          status={gateLabel}
+          statusTone={result.qualityGatePassed ? "success" : "warning"}
+          facts={[
+            {
+              label: "Конфигурация",
+              value: `${rigLabel} · ${result.sourceDisplayName}`,
+            },
+            {
+              label: "Development",
+              value: `${formatNumber(metrics.developmentItems, 0)} · 5-fold CV`,
+            },
+            {
+              label: "Validation",
+              value: `${formatNumber(metrics.validationItems, 0)} · sealed`,
+            },
+            {
+              label: "Исполнение",
+              value: `Worker 006 · ${result.workerNode}`,
+            },
+          ]}
+          brief={{
+            question: "Закроет ли точная совокупность camera-crop, LiDAR-формы и проекционных признаков разрыв E38 до 90% без обучения на validation?",
+            approach: "Для каждого case сформированы 262 детерминированных признака. Robust-scaled 3-NN и правила dimension projection были зафиксированы после пятифолдовой проверки только на 340 development-кейсах; validation labels при выборе не использовались.",
+            principalResult: `Development CV показал presence ${percent(development.presence.accuracy)} и geometry ${percent(development.geometryAssociation.accuracy)}, но sealed validation — по ${percent(dimensions.presence.accuracy)}. Freshness удержан выше порога: ${percent(dimensions.freshness.accuracy)}.`,
+            limitation: "Модель включает координаты исходного кадра и относится только к RAVNOVES00. Разрыв CV → validation показывает переоценку устойчивости; перенос на другой маршрут, риг или растительную среду не доказан.",
+          }}
+          method={{
+            completeness: "complete",
+            executionClass: "deterministic",
+            pipelineId: result.profileId,
+            components: [
+              {
+                kind: "source",
+                name: "E37 frozen acceptance contract",
+                version: `${formatNumber(metrics.developmentItems, 0)} development + ${formatNumber(metrics.validationItems, 0)} sealed validation`,
+                role: "неизменяемый denominator и раздельные reference-метрики",
+                identitySha256: null,
+              },
+              {
+                kind: "algorithm",
+                name: "Robust-scaled 3-neighbour refinement",
+                version: "262 camera + LiDAR features · deterministic 5-fold CV",
+                role: "source-scoped presence classification без validation-label fit",
+                identitySha256: null,
+              },
+              {
+                kind: "tool",
+                name: "Package-bound feature projection",
+                version: "exact camera crops + LiDAR projection statistics",
+                role: "воспроизводимый вход Worker без скрытого доступа к исходным данным",
+                identitySha256: null,
+              },
+              {
+                kind: "runtime",
+                name: "Worker 006",
+                version: result.workerNode,
+                role: "ограниченное исполнение immutable package без командных полномочий",
+                identitySha256: null,
+              },
+            ],
+          }}
+        />
+      )}
+      evidence={(
+        <LaboratoryEvidence
+          eyebrow="DEVELOPMENT → SEALED VALIDATION"
+          title="Проверка устойчивости refinement"
+          kind="diagnostic-model"
+        >
+          <div className="laboratory-result-metrics">
+            <div>
+              <span>Development presence</span>
+              <strong>{percent(development.presence.accuracy)}</strong>
+              <small>
+                {`${formatNumber(development.presence.correct, 0)} / ${formatNumber(development.presence.total, 0)} · 5-fold CV`}
+              </small>
+            </div>
+            <div>
+              <span>Validation presence</span>
+              <strong>{percent(dimensions.presence.accuracy)}</strong>
+              <small>
+                {`${formatNumber(dimensions.presence.correct, 0)} / ${formatNumber(dimensions.presence.total, 0)} · цель 90%`}
+              </small>
+            </div>
+            <div>
+              <span>Validation geometry</span>
+              <strong>{percent(dimensions.geometryAssociation.accuracy)}</strong>
+              <small>
+                {`${formatNumber(dimensions.geometryAssociation.correct, 0)} / ${formatNumber(dimensions.geometryAssociation.total, 0)} · цель 90%`}
+              </small>
+            </div>
+            <div>
+              <span>Validation freshness</span>
+              <strong>{percent(dimensions.freshness.accuracy)}</strong>
+              <small>
+                {`${formatNumber(dimensions.freshness.correct, 0)} / ${formatNumber(dimensions.freshness.total, 0)} · цель 90%`}
+              </small>
+            </div>
+          </div>
+        </LaboratoryEvidence>
+      )}
+      result={(
+        <LaboratoryResultSummary
+          title={result.qualityGatePassed
+            ? "Refinement достиг всех source-scoped целей R1"
+            : "Refinement улучшил baseline, но не закрыл R1"}
+          status={gateLabel}
+          statusTone={result.qualityGatePassed ? "success" : "warning"}
+          metrics={[
+            {
+              label: "Presence",
+              value: percent(dimensions.presence.accuracy),
+              hint: `${formatNumber(dimensions.presence.incorrect, 0)} ошибок · E38: 82,2%`,
+            },
+            {
+              label: "Geometry association",
+              value: percent(dimensions.geometryAssociation.accuracy),
+              hint: `${formatNumber(dimensions.geometryAssociation.incorrect, 0)} ошибок · E38: 81,5%`,
+            },
+            {
+              label: "Freshness",
+              value: percent(dimensions.freshness.accuracy),
+              hint: `${formatNumber(dimensions.freshness.incorrect, 0)} ошибок · порог пройден`,
+            },
+            {
+              label: "High severity",
+              value: formatNumber(metrics.highSeverityFailures, 0),
+              hint: `E38: 14 · учёт ${percent(metrics.accountingFraction)} · false free ${formatNumber(metrics.falseFreeClaims, 0)}`,
+            },
+          ]}
+          conclusion={{
+            proved: `По сравнению с E38 presence вырос с 82,2% до ${percent(dimensions.presence.accuracy)}, geometry — с 81,5% до ${percent(dimensions.geometryAssociation.accuracy)}, high-severity ошибки сократились с 14 до ${formatNumber(metrics.highSeverityFailures, 0)}. Учёт остался 100%, false-free claims — 0.`,
+            notProved: `Порог 90% не достигнут по presence и geometry; development CV переоценил sealed validation примерно на 5,4 п.п. Результат не даёт полномочий навигации, команд или safety.`,
+            decision: "Зафиксировать E39 как измеренное улучшение, но не принимать R1. Следующую итерацию строить на более устойчивом development-only разбиении и более содержательном представлении объекта, не подбирая параметры по sealed validation.",
+          }}
+        />
+      )}
+    />
+  );
+}
@@ -71,6 +71,7 @@ const EMPTY_ADVANCED_RESULTS: AdvancedLaboratoryResults = {
  e35: null,
  e37: null,
  e38: null,
+  e39: null,
 };

 function laboratoryWorkOrdinal(value: string): number {
@@ -432,6 +432,100 @@ function e38() {
  };
 }

+function e39DevelopmentDimension({
+  accuracy,
+  correct,
+  incorrect,
+}) {
+  return {
+    correct,
+    incorrect,
+    total: 340,
+    accuracy,
+    target: 0.9,
+    passed: true,
+  };
+}
+
+function e39() {
+  return {
+    result_id: `e39-perception-refinement-${"9".repeat(64)}`,
+    created_at_utc: "2026-07-28T06:29:42.847Z",
+    source_session_id: "20260720T065719Z_viewer_live",
+    source_display_name: "RAVNOVES00",
+    status: "measured-r1-source-scoped-refinement",
+    profile_id: "e39-ravnoves00-r1-development-knn/v1",
+    worker_node: "DESKTOP-OPJ8J04",
+    quality_gate_passed: false,
+    development_cross_validation: {
+      strategy: "deterministic-item-hash-five-fold",
+      seed: "e39-dev-cv",
+      folds: 5,
+      items: 340,
+      validation_labels_used: false,
+      passed: true,
+      dimensions: {
+        presence: e39DevelopmentDimension({
+          accuracy: 0.902941,
+          correct: 307,
+          incorrect: 33,
+        }),
+        geometry_association: e39DevelopmentDimension({
+          accuracy: 0.905882,
+          correct: 308,
+          incorrect: 32,
+        }),
+        freshness: e39DevelopmentDimension({
+          accuracy: 0.964706,
+          correct: 328,
+          incorrect: 12,
+        }),
+      },
+    },
+    metrics: {
+      development_items: 340,
+      validation_items: 146,
+      terminal_outcomes: 146,
+      accounting_fraction: 1,
+      false_free_claims: 0,
+      high_severity_failures: 8,
+      dimensions: {
+        presence: e38Dimension({
+          accuracy: 0.849315,
+          correct: 124,
+          incorrect: 22,
+          passed: false,
+        }),
+        geometry_association: e38Dimension({
+          accuracy: 0.849315,
+          correct: 124,
+          incorrect: 22,
+          passed: false,
+        }),
+        freshness: e38Dimension({
+          accuracy: 0.931507,
+          correct: 136,
+          incorrect: 10,
+          passed: true,
+        }),
+      },
+    },
+    blocking_checks: [
+      "presence_target_reached",
+      "geometry_association_target_reached",
+      "high_severity_failures_zero",
+    ],
+    method: {
+      summary: "robust-scaled 3-neighbour presence classification",
+      selection: "development-only deterministic five-fold cross-validation",
+      dimension_projection: "derived from predicted presence and immutable stratum",
+    },
+    limitations: ["source-scoped"],
+    authority,
+    access: "read-only",
+  };
+}
+
 before(async () => {
  server = await createServer({
    appType: "custom",
@@ -448,9 +542,9 @@ after(async () => {
  await server?.close();
 });

-test("decodes E31–E38 from separate read-only catalogs", async () => {
+test("decodes E31–E39 from separate read-only catalogs", async () => {
  const requests = [];
-  const items = [e31(), e32(), e33(), e34(), e35(), e37(), e38()];
+  const items = [e31(), e32(), e33(), e34(), e35(), e37(), e38(), e39()];
  const decoded = await fetchAdvancedLaboratoryResults({
    fetcher: async (input, init) => {
      requests.push({ input: String(input), method: init?.method });
@@ -476,6 +570,14 @@ test("decodes E31–E38 from separate read-only catalogs", async () => {
  assert.equal(decoded.e38.metrics.dimensions.presence.accuracy, 0.821918);
  assert.equal(decoded.e38.metrics.dimensions.freshness.passed, true);
  assert.equal(decoded.e38.qualityGatePassed, false);
+  assert.equal(
+    decoded.e39.developmentCrossValidation.dimensions.presence.accuracy,
+    0.902941,
+  );
+  assert.equal(decoded.e39.developmentCrossValidation.validationLabelsUsed, false);
+  assert.equal(decoded.e39.metrics.dimensions.presence.accuracy, 0.849315);
+  assert.equal(decoded.e39.metrics.highSeverityFailures, 8);
+  assert.equal(decoded.e39.qualityGatePassed, false);
  assert.deepEqual(requests, [
    { input: "/api/v1/laboratory/e31/results?limit=1", method: "GET" },
    { input: "/api/v1/laboratory/e32/results?limit=1", method: "GET" },
@@ -484,6 +586,7 @@ test("decodes E31–E38 from separate read-only catalogs", async () => {
    { input: "/api/v1/laboratory/e35/results?limit=1", method: "GET" },
    { input: "/api/v1/laboratory/e37/results?limit=1", method: "GET" },
    { input: "/api/v1/laboratory/e38/results?limit=1", method: "GET" },
+    { input: "/api/v1/laboratory/e39/results?limit=1", method: "GET" },
  ]);
 });

@@ -500,7 +603,8 @@ test("rejects authority escalation in an accepted-looking result", async () => {
            : String(input).includes("/e33/") ? e33()
              : String(input).includes("/e34/") ? e34()
                : String(input).includes("/e35/") ? e35()
-                  : String(input).includes("/e37/") ? e37() : e38(),
+                  : String(input).includes("/e37/") ? e37()
+                    : String(input).includes("/e38/") ? e38() : e39(),
      )), { status: 200 }),
    }),
    AdvancedLaboratoryContractError,
@@ -34,6 +34,10 @@ const e38ResultUrl = new URL(
  "../src/workspaces/laboratory/E38Result.tsx",
  import.meta.url,
 );
+const e39ResultUrl = new URL(
+  "../src/workspaces/laboratory/E39Result.tsx",
+  import.meta.url,
+);
 const e35StylesUrl = new URL(
  "../src/styles/e35-degradation-recovery.css",
  import.meta.url,
@@ -239,6 +243,24 @@ test("E38 reports the frozen R1 baseline through the canonical LAB anatomy", asy
  assert.match(advancedSource, /<E38Result/);
 });

+test("E39 reports refinement and the CV-to-validation gap through the canonical LAB anatomy", async () => {
+  const [e39Source, advancedSource] = await Promise.all([
+    readFile(e39ResultUrl, "utf8"),
+    readFile(advancedLaboratoryResultUrl, "utf8"),
+  ]);
+
+  assert.match(e39Source, /<LaboratoryWorkTemplate/);
+  assert.match(e39Source, /<LaboratoryEvidence/);
+  assert.match(e39Source, /<LaboratoryResultSummary/);
+  assert.match(e39Source, /validation labels при выборе не использовались/);
+  assert.match(e39Source, /Разрыв CV → validation/);
+  assert.match(e39Source, /не принимать R1/);
+  assert.match(e39Source, /не подбирая параметры по sealed validation/);
+  assert.doesNotMatch(e39Source, /className="laboratory-(?:summary|result-summary)"/);
+  assert.match(advancedSource, /id: "e39-perception-refinement"/);
+  assert.match(advancedSource, /<E39Result/);
+});
+
 test("the primary point-cloud viewer restores from fullscreen on Escape", async () => {
  const workspacesSource = await readFile(workspacesUrl, "utf8");

@@ -44,6 +44,11 @@ from k1link.compute.e38_perception_baseline import (
    E38PerceptionBaselineError,
    read_e38_perception_baseline,
 )
+from k1link.compute.e39_perception_refinement import (
+    E39PerceptionRefinement,
+    E39PerceptionRefinementError,
+    read_e39_perception_refinement,
+)

 LABORATORY_ADVANCED_CATALOG_SCHEMA: Final = (
    "missioncore.laboratory-advanced-catalog/v1"
@@ -56,6 +61,7 @@ _E34_RESULT_ID = re.compile(r"^e34-temporal-occupied-[a-f0-9]{64}$")
 _E35_RESULT_ID = re.compile(r"^e35-degradation-recovery-[a-f0-9]{64}$")
 _E37_RESULT_ID = re.compile(r"^e37-ravnoves-acceptance-[a-f0-9]{64}$")
 _E38_RESULT_ID = re.compile(r"^e38-perception-baseline-[a-f0-9]{64}$")
+_E39_RESULT_ID = re.compile(r"^e39-perception-refinement-[a-f0-9]{64}$")

 RootProvider = Callable[[], Path | None]

@@ -133,6 +139,15 @@ def _read_e38_cached(
    return read_e38_perception_baseline(Path(root_text))


+@lru_cache(maxsize=16)
+def _read_e39_cached(
+    root_text: str,
+    signature: tuple[int, ...],
+) -> E39PerceptionRefinement:
+    del signature
+    return read_e39_perception_refinement(Path(root_text))
+
+
 def _configured_root(provider: RootProvider) -> Path | None:
    value = provider()
    if value is None:
@@ -604,6 +619,46 @@ def _project_e38(result: E38PerceptionBaseline) -> dict[str, object]:
    }


+def _project_e39(result: E39PerceptionRefinement) -> dict[str, object]:
+    identity = _object(result.manifest.get("identity"), "E39 identity")
+    source = _object(identity.get("source"), "E39 source")
+    execution = _object(identity.get("execution"), "E39 execution")
+    profile = _object(identity.get("profile"), "E39 profile")
+    metrics = _object(result.report.get("metrics"), "E39 metrics")
+    dimensions = _object(metrics.get("dimensions"), "E39 dimensions")
+    quality_gate = _object(result.report.get("quality_gate"), "E39 gate")
+    development_cv = _object(
+        result.report.get("development_cross_validation"),
+        "E39 development CV",
+    )
+    return {
+        "result_id": result.result_id,
+        "created_at_utc": result.manifest.get("created_at_utc"),
+        "source_session_id": source.get("session_id"),
+        "source_display_name": source.get("display_name"),
+        "status": result.report.get("status"),
+        "profile_id": profile.get("profile_id"),
+        "worker_node": execution.get("worker_node"),
+        "quality_gate_passed": quality_gate.get("passed"),
+        "development_cross_validation": copy.deepcopy(development_cv),
+        "metrics": {
+            "development_items": metrics.get("development_items"),
+            "validation_items": metrics.get("validation_items"),
+            "terminal_outcomes": metrics.get("terminal_outcomes"),
+            "accounting_fraction": metrics.get("accounting_fraction"),
+            "false_free_claims": metrics.get("false_free_claims"),
+            "high_severity_failures": metrics.get("high_severity_failures"),
+            "dimensions": copy.deepcopy(dimensions),
+        },
+        "blocking_checks": copy.deepcopy(quality_gate.get("blocking_checks")),
+        "method": copy.deepcopy(result.report.get("method")),
+        "decision": copy.deepcopy(result.report.get("decision")),
+        "limitations": copy.deepcopy(result.report.get("limitations")),
+        "authority": copy.deepcopy(result.report.get("authority")),
+        "access": "read-only",
+    }
+
+
 def _empty_catalog(configured: bool) -> dict[str, object]:
    return {
        "schema_version": LABORATORY_ADVANCED_CATALOG_SCHEMA,
@@ -624,6 +679,7 @@ def build_advanced_laboratory_router(
    e35_root_provider: RootProvider = lambda: None,
    e37_root_provider: RootProvider = lambda: None,
    e38_root_provider: RootProvider = lambda: None,
+    e39_root_provider: RootProvider = lambda: None,
 ) -> APIRouter:
    router = APIRouter(prefix="/api/v1/laboratory", tags=["laboratory"])

@@ -886,4 +942,37 @@ def build_advanced_laboratory_router(
            "invalid_total": invalid_total,
        }

+    @router.get("/e39/results")
+    def list_e39_results(
+        limit: int = Query(default=1, ge=1, le=10),
+    ) -> dict[str, object]:
+        root = _configured_root(e39_root_provider)
+        if root is None:
+            return _empty_catalog(False)
+        candidates = _candidates(root, _E39_RESULT_ID)
+        items: list[dict[str, object]] = []
+        invalid_total = 0
+        for candidate in candidates:
+            try:
+                result = _read_e39_cached(
+                    str(candidate.resolve()),
+                    _result_signature(candidate),
+                )
+                if len(items) < limit:
+                    items.append(_project_e39(result))
+            except (
+                E39PerceptionRefinementError,
+                KeyError,
+                OSError,
+                TypeError,
+                ValueError,
+            ):
+                invalid_total += 1
+        return {
+            **_empty_catalog(True),
+            "items": items,
+            "candidate_total": len(candidates),
+            "invalid_total": invalid_total,
+        }
+
    return router
@@ -550,6 +550,13 @@ app.include_router(
            / "e38"
            / "results"
        ),
+        e39_root_provider=lambda: (
+            REPOSITORY_ROOT
+            / ".runtime"
+            / "compute-experiments"
+            / "e39"
+            / "results"
+        ),
    )
 )
 app.include_router(
@@ -26,7 +26,7 @@ def _endpoint(router: APIRouter, path: str) -> object:
 def test_advanced_catalogs_are_empty_when_not_configured() -> None:
    router = build_advanced_laboratory_router()

-    for name in ("e31", "e32", "e33", "e34", "e35", "e37", "e38"):
+    for name in ("e31", "e32", "e33", "e34", "e35", "e37", "e38", "e39"):
        route = _endpoint(router, f"/api/v1/laboratory/{name}/results")
        catalog = route(limit=1)  # type: ignore[operator]
        assert catalog == {
@@ -49,7 +49,8 @@ def test_advanced_catalogs_fail_closed_on_incomplete_results(
    e35 = tmp_path / "e35"
    e37 = tmp_path / "e37"
    e38 = tmp_path / "e38"
-    for root in (e31, e32, e33, e34, e35, e37, e38):
+    e39 = tmp_path / "e39"
+    for root in (e31, e32, e33, e34, e35, e37, e38, e39):
        root.mkdir()
    (e31 / f"e31-source-qualification-{'1' * 64}").mkdir()
    (e32 / f"e32-track-geometry-{'2' * 64}").mkdir()
@@ -58,6 +59,7 @@ def test_advanced_catalogs_fail_closed_on_incomplete_results(
    (e35 / f"e35-degradation-recovery-{'5' * 64}").mkdir()
    (e37 / f"e37-ravnoves-acceptance-{'7' * 64}").mkdir()
    (e38 / f"e38-perception-baseline-{'8' * 64}").mkdir()
+    (e39 / f"e39-perception-refinement-{'9' * 64}").mkdir()
    router = build_advanced_laboratory_router(
        e31_root_provider=lambda: e31,
        e32_root_provider=lambda: e32,
@@ -66,9 +68,10 @@ def test_advanced_catalogs_fail_closed_on_incomplete_results(
        e35_root_provider=lambda: e35,
        e37_root_provider=lambda: e37,
        e38_root_provider=lambda: e38,
+        e39_root_provider=lambda: e39,
    )

-    for name in ("e31", "e32", "e33", "e34", "e35", "e37", "e38"):
+    for name in ("e31", "e32", "e33", "e34", "e35", "e37", "e38", "e39"):
        route = _endpoint(router, f"/api/v1/laboratory/{name}/results")
        catalog = route(limit=1)  # type: ignore[operator]
        assert catalog["configured"] is True
@@ -220,6 +223,153 @@ def test_e34_catalog_projects_only_accepted_read_only_evidence(
    assert item["access"] == "read-only"


+def test_e39_catalog_projects_development_cv_and_sealed_validation(
+    tmp_path: Path,
+    monkeypatch: MonkeyPatch,
+) -> None:
+    result_id = f"e39-perception-refinement-{'9' * 64}"
+    root = tmp_path / "e39"
+    candidate = root / result_id
+    candidate.mkdir(parents=True)
+    (candidate / "manifest.json").write_text("{}", encoding="utf-8")
+    authority = {
+        "commands_enabled": False,
+        "navigation_or_safety_accepted": False,
+    }
+    dimension = {
+        "correct": 124,
+        "incorrect": 22,
+        "total": 146,
+        "accuracy": 0.849315,
+        "target": 0.9,
+        "passed": False,
+        "confusion": [],
+        "by_stratum": {},
+    }
+    result = SimpleNamespace(
+        result_id=result_id,
+        manifest={
+            "created_at_utc": "2026-07-28T06:29:42.847Z",
+            "identity": {
+                "source": {
+                    "session_id": "20260720T065719Z_viewer_live",
+                    "display_name": "RAVNOVES00",
+                },
+                "profile": {
+                    "profile_id": "e39-ravnoves00-r1-development-knn/v1",
+                },
+                "execution": {
+                    "worker_node": "DESKTOP-OPJ8J04",
+                },
+            },
+        },
+        report={
+            "status": "measured-r1-source-scoped-refinement",
+            "development_cross_validation": {
+                "strategy": "deterministic-item-hash-five-fold",
+                "seed": "e39-dev-cv",
+                "folds": 5,
+                "items": 340,
+                "validation_labels_used": False,
+                "passed": True,
+                "dimensions": {
+                    "presence": {
+                        "correct": 307,
+                        "incorrect": 33,
+                        "total": 340,
+                        "accuracy": 0.902941,
+                        "target": 0.9,
+                        "passed": True,
+                    },
+                    "geometry_association": {
+                        "correct": 308,
+                        "incorrect": 32,
+                        "total": 340,
+                        "accuracy": 0.905882,
+                        "target": 0.9,
+                        "passed": True,
+                    },
+                    "freshness": {
+                        "correct": 328,
+                        "incorrect": 12,
+                        "total": 340,
+                        "accuracy": 0.964706,
+                        "target": 0.9,
+                        "passed": True,
+                    },
+                },
+            },
+            "metrics": {
+                "development_items": 340,
+                "validation_items": 146,
+                "terminal_outcomes": 146,
+                "accounting_fraction": 1.0,
+                "false_free_claims": 0,
+                "high_severity_failures": 8,
+                "dimensions": {
+                    "presence": dimension,
+                    "geometry_association": dimension,
+                    "freshness": {
+                        **dimension,
+                        "correct": 136,
+                        "incorrect": 10,
+                        "accuracy": 0.931507,
+                        "passed": True,
+                    },
+                },
+            },
+            "quality_gate": {
+                "passed": False,
+                "blocking_checks": [
+                    "presence_target_reached",
+                    "geometry_association_target_reached",
+                    "high_severity_failures_zero",
+                ],
+            },
+            "method": {
+                "summary": "robust-scaled 3-neighbour classification",
+                "selection": "development-only five-fold cross-validation",
+                "dimension_projection": "presence plus immutable stratum",
+            },
+            "decision": {
+                "r1_refinement_measured": True,
+                "accepted_for_release": False,
+            },
+            "limitations": ["source-scoped"],
+            "authority": authority,
+        },
+    )
+
+    def fake_read(
+        root_text: str,
+        signature: tuple[int, ...],
+    ) -> SimpleNamespace:
+        assert root_text == str(candidate.resolve())
+        assert signature
+        return result
+
+    monkeypatch.setattr(advanced_api, "_read_e39_cached", fake_read)
+    router = build_advanced_laboratory_router(
+        e39_root_provider=lambda: root,
+    )
+    route = _endpoint(router, "/api/v1/laboratory/e39/results")
+    catalog = route(limit=1)  # type: ignore[operator]
+
+    assert catalog["candidate_total"] == 1
+    assert catalog["invalid_total"] == 0
+    item = catalog["items"][0]
+    assert item["development_cross_validation"]["passed"] is True
+    assert (
+        item["development_cross_validation"]["validation_labels_used"]
+        is False
+    )
+    assert item["metrics"]["dimensions"]["presence"]["accuracy"] == 0.849315
+    assert item["metrics"]["high_severity_failures"] == 8
+    assert item["quality_gate_passed"] is False
+    assert item["authority"] == authority
+    assert item["access"] == "read-only"
+
+
 def test_e35_catalog_projects_recovery_and_review(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,