diff --git a/src/visitor/jsonvectorassembler.ts b/src/visitor/jsonvectorassembler.ts
index 2f4973ad..a48e5ba9 100644
--- a/src/visitor/jsonvectorassembler.ts
+++ b/src/visitor/jsonvectorassembler.ts
@@ -201,7 +201,7 @@ function* binaryToString(vector: Vector<Binary> | Vector<LargeBinary> | Vector<F
 
 /** @ignore */
 function* bigNumsToStrings(values: BigUint64Array | BigInt64Array | Uint32Array | Int32Array | IntArray, stride: number) {
-    const u32s = new Uint32Array(values.buffer);
+    const u32s = new Uint32Array(values.buffer, values.byteOffset, values.byteLength / Uint32Array.BYTES_PER_ELEMENT);
     for (let i = -1, n = u32s.length / stride; ++i < n;) {
         yield `${BN.new(u32s.subarray((i + 0) * stride, (i + 1) * stride), false)}`;
     }
diff --git a/test/unit/ipc/writer/json-offset-views-tests.ts b/test/unit/ipc/writer/json-offset-views-tests.ts
new file mode 100644
index 00000000..89ae3c2b
--- /dev/null
+++ b/test/unit/ipc/writer/json-offset-views-tests.ts
@@ -0,0 +1,116 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+// The bug: bigNumsToStrings() in src/visitor/jsonvectorassembler.ts used to
+// do `new Uint32Array(values.buffer)` and ignore values.byteOffset/byteLength.
+// When the underlying typed array was a subarray view with byteOffset > 0
+// (which happens whenever Data was constructed against a shared/padded buffer
+// or after slicing through tableFromIPC), the helper would read the wrong
+// 64-bit words and emit incorrect JSON for OFFSET/DATA fields.
+//
+// For each affected type, we take a freshly-generated Vector (byteOffset === 0),
+// rewrap every backing typed array in a subarray view at byteOffset > 0, and
+// assert the JSONVectorAssembler produces the same JSON in both cases.
+//
+// These are focused unit tests of bigNumsToStrings' buffer-windowing contract.
+// They pinpoint exactly which type / which callsite breaks if a regression
+// lands, and they don't depend on tableFromIPC continuing to produce offset
+// views. End-to-end coverage of the same flow on a broader type matrix lives
+// in json-writer-tests.ts, which catches the same regression at the
+// user-facing API level.
+
+import {
+    Data, DataType, Field, RecordBatch, Schema, Struct,
+} from 'apache-arrow';
+import { JSONVectorAssembler } from 'apache-arrow/visitor/jsonvectorassembler';
+import * as generate from '../../../generate-test-data.js';
+
+/**
+ * Return a copy of `arr` whose data lives at a nonzero byteOffset inside a
+ * larger underlying buffer. Equivalent to the state of a typed array that
+ * came out of `tableFromIPC` — same logical contents, shifted memory layout.
+ */
+function padBuffer<T extends ArrayBufferView>(arr: T | undefined): T | undefined {
+    if (!arr) return arr;
+    const Ctor = arr.constructor as new (n: number) => any;
+    const padding = 4;
+    const padded = new Ctor((arr as any).length + padding * 2);
+    padded.set(arr, padding);
+    return padded.subarray(padding, padding + (arr as any).length) as T;
+}
+
+/**
+ * Clone a Data so every backing typed array sits at byteOffset > 0.
+ * Recurses into children so nested types stay consistent.
+ */
+function withOffsetViews<T extends DataType>(d: Data<T>): Data<T> {
+    const newBuffers = Array.from(d.buffers as unknown as Array<ArrayBufferView | undefined>, padBuffer);
+    const newChildren = d.children.map((c) => withOffsetViews(c));
+    return d.clone(d.type, d.offset, d.length, d.nullCount, newBuffers as any, newChildren);
+}
+
+/**
+ * Wrap a Data in a single-field RecordBatch so we can hand it to assemble().
+ */
+function batchOf<T extends DataType>(type: T, data: Data<T>): RecordBatch<any> {
+    const field = new Field('x', type, true);
+    const schema = new Schema([field]);
+    const structType = new Struct([field]);
+    const root = data.clone(structType as any, 0, data.length, 0, [undefined, undefined, undefined, undefined] as any, [data]);
+    return new RecordBatch(schema, root as Data<Struct>);
+}
+
+// Every affected callsite of bigNumsToStrings, one entry per type. Adding
+// a new affected type is a one-line addition here.
+const affectedTypeCases: Array<{ name: string; gen: () => generate.GeneratedVector<any> }> = [
+    { name: 'Int64', gen: () => generate.int64() },
+    { name: 'Uint64', gen: () => generate.uint64() },
+    { name: 'DateMillisecond', gen: () => generate.dateMillisecond() },
+    { name: 'TimestampSecond', gen: () => generate.timestampSecond() },
+    { name: 'TimestampMillisecond', gen: () => generate.timestampMillisecond() },
+    { name: 'TimestampMicrosecond', gen: () => generate.timestampMicrosecond() },
+    { name: 'TimestampNanosecond', gen: () => generate.timestampNanosecond() },
+    { name: 'TimeMicrosecond', gen: () => generate.timeMicrosecond() },
+    { name: 'TimeNanosecond', gen: () => generate.timeNanosecond() },
+    { name: 'DurationSecond', gen: () => generate.durationSecond() },
+    { name: 'DurationMillisecond', gen: () => generate.durationMillisecond() },
+    { name: 'DurationMicrosecond', gen: () => generate.durationMicrosecond() },
+    { name: 'DurationNanosecond', gen: () => generate.durationNanosecond() },
+    { name: 'Decimal', gen: () => generate.decimal() },
+    { name: 'LargeUtf8', gen: () => generate.largeUtf8() },
+    { name: 'LargeBinary', gen: () => generate.largeBinary() },
+];
+
+describe('JSONVectorAssembler offset-view safety', () => {
+    for (const { name, gen } of affectedTypeCases) {
+        test(name, () => {
+            const { vector } = gen();
+            const fresh = vector.data[0];
+            const viewed = withOffsetViews(fresh);
+
+            // Sanity: the rewrap really did shift at least one buffer
+            // past byteOffset 0, so this run actually exercises the bug
+            // precondition.
+            const buffers = Array.from(viewed.buffers as unknown as Array<ArrayBufferView | undefined>);
+            expect(buffers.some((b) => b && b.byteOffset > 0)).toBe(true);
+
+            const [[jsonFresh]] = JSONVectorAssembler.assemble(batchOf(fresh.type, fresh));
+            const [[jsonViewed]] = JSONVectorAssembler.assemble(batchOf(fresh.type, viewed));
+            expect(jsonViewed).toEqual(jsonFresh);
+        });
+    }
+});
diff --git a/test/unit/ipc/writer/json-writer-tests.ts b/test/unit/ipc/writer/json-writer-tests.ts
index 29b66515..c7d48ee5 100644
--- a/test/unit/ipc/writer/json-writer-tests.ts
+++ b/test/unit/ipc/writer/json-writer-tests.ts
@@ -24,7 +24,9 @@ import {
     ArrowJSONLike,
     RecordBatchJSONWriter,
     RecordBatchReader,
-    Table
+    Table,
+    tableFromIPC,
+    tableToIPC,
 } from 'apache-arrow';
 
 describe('RecordBatchJSONWriter', () => {
@@ -38,12 +40,16 @@ describe('RecordBatchJSONWriter', () => {
 
 function testJSONWriter(table: Table, name: string) {
     describe(`should write the Arrow IPC JSON format (${name})`, () => {
-        test(`Table`, validateTable.bind(0, table));
+        test(`Table`, validateJSONWriter.bind(0, table));
     });
 }
 
-async function validateTable(source: Table) {
-    const writer = RecordBatchJSONWriter.writeAll(source);
+async function validateJSONWriter(source: Table) {
+    // Route through binary IPC so the JSON writer sees realistic typed-array
+    // views with byteOffset > 0 (as `tableFromIPC` produces), not just fresh
+    // allocations from the generator.
+    const loaded = tableFromIPC(tableToIPC(source, 'stream'));
+    const writer = RecordBatchJSONWriter.writeAll(loaded);
     const string = await writer.toString();
     const json = JSON.parse(string) as ArrowJSONLike;
     const result = new Table(RecordBatchReader.from(json));