Q29, run 2026-11-04-2053-sonnet

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Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of authors, of the University of Albury (units included), and of countries?

Tests: Self-citation depends on the level; W12 is Mara Ellison under another record, W13 her co-author; W16 is the other M. Ellison.

Expected: author = 2 institution = 2 country = 4

✅ R1 csv run 1 graded by code

Authors: 2 (W12, W13). University of Albury: 2 (W12, W13). Countries: 4 (W12, W13, W14, W15, all GB).

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R1 csv run 2 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). W16's author A04 is a different Ellison.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R1 csv run 3 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). W16 is by A04, a different M. Ellison.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R1 csv run 4 graded by code

Author 2 (W12, W13). Institution 2 (W12, W13). Country 4 (W12, W13, W14, W15). W16's author A04 is a different Ellison.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R1 csv run 5 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). W16's author A04 is a different person from Mara Ellison.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R10 executed run 1 graded by code

Author 2 (W12, W13), institution 2 (W12 in I02, W13 in I03), country 4 (W12, W13, W14, W15, all GB). W16 is credited to A04, who is a different person from A01.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R10 executed run 2 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15, all GB).

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R10 executed run 3 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). W16's A04 is a different person from A01.

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R10 executed run 4 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15).

JSON: {"author": 2, "institution": 2, "country": 4}

✅ R10 executed run 5 graded by code

Author 2 (W12, W13), institution 2 (W12 via I02, W13 via I03), country 4 (W12, W13, W14, W15, all GB).

JSON: {"author": 2, "institution": 2, "country": 4}