diff --git a/llm_normalizer/backend/dist/services/assistantEvidencePlanner.js b/llm_normalizer/backend/dist/services/assistantEvidencePlanner.js
index f5a70c9..d0b2a0d 100644
--- a/llm_normalizer/backend/dist/services/assistantEvidencePlanner.js
+++ b/llm_normalizer/backend/dist/services/assistantEvidencePlanner.js
@@ -34,7 +34,10 @@ function uniqueStrings(values) {
     }
     return result;
 }
-function providedAxesFromMeaning(meaning) {
+function isExplicitDate(value) {
+    return Boolean(value && /^\d{4}-\d{2}-\d{2}$/.test(value));
+}
+function providedAxesFromMeaning(meaning, graph) {
     const result = [];
     if ((meaning?.explicit_entity_candidates?.length ?? 0) > 0) {
         result.push("counterparty");
@@ -43,8 +46,15 @@ function providedAxesFromMeaning(meaning) {
     if (toNonEmptyString(meaning?.explicit_organization_scope)) {
         result.push("organization");
     }
-    if (toNonEmptyString(meaning?.explicit_date_scope)) {
+    const explicitDateScope = toNonEmptyString(meaning?.explicit_date_scope);
+    if (explicitDateScope) {
         result.push("period");
+        if (isExplicitDate(explicitDateScope)) {
+            result.push("as_of_date");
+        }
+    }
+    if (graph?.time_scope_need === "all_time_scope") {
+        result.push("all_time_scope");
     }
     if (toNonEmptyString(meaning?.asked_aggregation_axis)) {
         result.push("aggregate_axis");
@@ -116,7 +126,7 @@ function buildAssistantEvidencePlanner(input) {
     const plan = input.discoveryPlan;
     const turnMeaning = plan.turn_meaning_ref;
     const requiredAxes = uniqueStrings(plan.required_axes);
-    const providedAxes = providedAxesFromMeaning(turnMeaning);
+    const providedAxes = providedAxesFromMeaning(turnMeaning, graph);
     const graphClarificationGaps = uniqueStrings(graph?.clarification_gaps ?? []);
     const additionalAxisGaps = uniqueStrings(input.additionalMissingAxes ?? []).filter((axis) => !providedAxes.includes(axis) && (requiredAxes.includes(axis) || USER_ACTIONABLE_AXIS_SET.has(axis)));
     const axisGaps = uniqueStrings([...additionalAxisGaps, ...missingAxes(requiredAxes, providedAxes)]);
diff --git a/llm_normalizer/backend/src/services/assistantEvidencePlanner.ts b/llm_normalizer/backend/src/services/assistantEvidencePlanner.ts
index 264d8ca..a853c27 100644
--- a/llm_normalizer/backend/src/services/assistantEvidencePlanner.ts
+++ b/llm_normalizer/backend/src/services/assistantEvidencePlanner.ts
@@ -113,7 +113,14 @@ function uniqueStrings(values: unknown[]): string[] {
   return result;
 }
 
-function providedAxesFromMeaning(meaning: AssistantMcpDiscoveryTurnMeaningRef | null): string[] {
+function isExplicitDate(value: string | null): boolean {
+  return Boolean(value && /^\d{4}-\d{2}-\d{2}$/.test(value));
+}
+
+function providedAxesFromMeaning(
+  meaning: AssistantMcpDiscoveryTurnMeaningRef | null,
+  graph: AssistantMcpDiscoveryDataNeedGraphContract | null
+): string[] {
   const result: string[] = [];
   if ((meaning?.explicit_entity_candidates?.length ?? 0) > 0) {
     result.push("counterparty");
@@ -122,8 +129,15 @@ function providedAxesFromMeaning(meaning: AssistantMcpDiscoveryTurnMeaningRef |
   if (toNonEmptyString(meaning?.explicit_organization_scope)) {
     result.push("organization");
   }
-  if (toNonEmptyString(meaning?.explicit_date_scope)) {
+  const explicitDateScope = toNonEmptyString(meaning?.explicit_date_scope);
+  if (explicitDateScope) {
     result.push("period");
+    if (isExplicitDate(explicitDateScope)) {
+      result.push("as_of_date");
+    }
+  }
+  if (graph?.time_scope_need === "all_time_scope") {
+    result.push("all_time_scope");
   }
   if (toNonEmptyString(meaning?.asked_aggregation_axis)) {
     result.push("aggregate_axis");
@@ -209,7 +223,7 @@ export function buildAssistantEvidencePlanner(
   const plan = input.discoveryPlan;
   const turnMeaning = plan.turn_meaning_ref;
   const requiredAxes = uniqueStrings(plan.required_axes);
-  const providedAxes = providedAxesFromMeaning(turnMeaning);
+  const providedAxes = providedAxesFromMeaning(turnMeaning, graph);
   const graphClarificationGaps = uniqueStrings(graph?.clarification_gaps ?? []);
   const additionalAxisGaps = uniqueStrings(input.additionalMissingAxes ?? []).filter(
     (axis) => !providedAxes.includes(axis) && (requiredAxes.includes(axis) || USER_ACTIONABLE_AXIS_SET.has(axis)),
diff --git a/llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts b/llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts
index 31a451c..6343c05 100644
--- a/llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts
+++ b/llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts
@@ -95,6 +95,68 @@ describe("assistant MCP discovery planner", () => {
     expect(result.reason_codes).toContain("planner_selected_chain_matches_catalog_top");
   });
 
+  it("treats an explicit date as a provided as-of-date evidence axis", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: [],
+        business_fact_family: "inventory_stock_snapshot",
+        action_family: "stock_snapshot",
+        aggregation_need: null,
+        time_scope_need: "as_of_date_required",
+        comparison_need: null,
+        ranking_need: null,
+        proof_expectation: "coverage_checked_fact",
+        clarification_gaps: [],
+        decomposition_candidates: [],
+        forbidden_overclaim_flags: ["no_raw_model_claims"],
+        reason_codes: ["data_need_graph_built"]
+      },
+      turnMeaning: {
+        asked_action_family: "stock_snapshot",
+        explicit_organization_scope: "Org",
+        explicit_date_scope: "2020-05-31"
+      }
+    });
+
+    expect(result.selected_chain_id).toBe("inventory_stock_snapshot");
+    expect(result.evidence_plan.evidence_axes.required_axes).toContain("as_of_date");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("period");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("as_of_date");
+    expect(result.evidence_plan.evidence_axes.missing_axes).not.toContain("as_of_date");
+  });
+
+  it("treats graph all-time scope as a provided evidence axis", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: ["SVK"],
+        business_fact_family: "value_flow",
+        action_family: "net_value_flow",
+        aggregation_need: null,
+        time_scope_need: "all_time_scope",
+        comparison_need: "incoming_vs_outgoing",
+        ranking_need: null,
+        proof_expectation: "coverage_checked_fact",
+        clarification_gaps: [],
+        decomposition_candidates: [],
+        forbidden_overclaim_flags: ["no_raw_model_claims"],
+        reason_codes: ["data_need_graph_built"]
+      },
+      turnMeaning: {
+        asked_action_family: "net_value_flow",
+        explicit_entity_candidates: ["SVK"]
+      }
+    });
+
+    expect(result.selected_chain_id).toBe("value_flow_comparison");
+    expect(result.evidence_plan.evidence_axes.required_axes).toContain("all_time_scope");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("all_time_scope");
+    expect(result.evidence_plan.evidence_axes.missing_axes).not.toContain("all_time_scope");
+  });
+
   it("keeps representative graph-selected chains aligned with top catalog template matches", () => {
     const graph = (
       businessFactFamily: string,