Q29, run 2026-11-05-1234-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

Author 2, institution 2, country 4. Author-level self-citations are W12 and W13; W16's A04 is a different person. Institution-level are the same two, since I05 is outside I02. Country-level adds W14 and W15 (GB).

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

✅ R1 csv run 2 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 3 graded by code

Author level 2 (W12, W13). University of Albury level 2 (W12, W13). Country level 4 (W12, W13, W14, W15, all GB). W16's author A04 is a different person from A01.

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; all GB). W16 is by A04, a different Ellison.

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

✅ R1 csv run 5 graded by code

Author 2, institution 2, country 4.
- **Author:** W12 (Mara Ellison) and W13 (A07). W16's A04 is a different Ellison.
- **Institution:** W12 and W13.
- **Country (GB):** adds W14 (I05) and W15 (I13).

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

✅ R2 rdf run 1 graded by code

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

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

✅ R2 rdf run 2 graded by code

Author 2, institution 2, country 4.
- Author: W12 and W13. W16's A04 is a different person.
- Institution: W12 and W13.
- Country: W12, W13, W14 and W15, all GB.

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

✅ R2 rdf run 3 graded by code

Authors: 2 (W12, W13). Institutions: 2 (W12, W13). Countries: 4 (W12, W13, W14, W15, all GB). The citing works are W12–W18, and I treat A01, A02 and A03 as one person.

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

✅ R2 rdf run 4 graded by code

Author 2 (W12 and W13). The first matches by Mara Ellison's shared ORCID, the second by Priya Ramanathan, A07). Institution 2 (W12, W13). Country 4 (W12, W13, W14, W15, all GB).

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

✅ R2 rdf run 5 graded by code

Author level 2, institution level 2, country level 4.
- Author level: W12 (Ellison) and W13 (Ramanathan). W16 is by A04, a different Ellison.
- Institution level: W12 and W13. W14 is I05, which is not under I02.
- Country level: W12, W13, W14 and W15 are all GB.

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

✅ R6 rdf+ontology run 1 graded by code

Author 2 (W12, W13), institution 2 (W12 at I02, W13 at I03), country 4 (W12, W13, W14, W15).

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

✅ R6 rdf+ontology run 2 graded by code

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

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

✅ R6 rdf+ontology run 3 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). W16's author is A04, a different person from the Ellison with ORCID 0000-0002-9841-6229.

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

✅ R6 rdf+ontology run 4 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}

✅ R6 rdf+ontology run 5 graded by code

Author 2, institution 2, country 4. At author and Albury level the self-citations are W12 and W13. At country level they are W12, W13, W14 and W15, all GB.

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

✅ R5 csv+ontology run 1 graded by code

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

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

✅ R5 csv+ontology run 2 graded by code

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

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

✅ R5 csv+ontology run 3 graded by code

Author 2 (W12, W13). Institution 2 (W12, W13). Country 4 (W12, W13, W14, W15). The cited work is by A01/A02/A03 and A07, at I02 and I03, in GB.

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

✅ R5 csv+ontology run 4 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}

✅ R5 csv+ontology run 5 graded by code

Author 2 (W12, W13), institution 2 (W12, W13), country 4 (W12, W13, W14, W15). The citing works are W12–W18, and the cited work's credited institutions are I02/I03 in GB.

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

✅ R4 csv+markdown run 1 graded by code

Author 2, institution 2, country 4.
- Author self-citations are W12 (Mara Ellison) and W13 (Priya Ramanathan). W16 is by A04, a different person.
- Institution self-citations are W12 (I02) and W13 (I03).
- Country (GB) self-citations are W12, W13, W14 (I05) and W15 (I13).

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

✅ R4 csv+markdown run 2 graded by code

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

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

✅ R4 csv+markdown run 3 graded by code

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

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

✅ R4 csv+markdown 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}

✅ R4 csv+markdown run 5 graded by code

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

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

✅ R3 csv+padding run 1 graded by code

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

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

✅ R3 csv+padding run 2 graded by code

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

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

✅ R3 csv+padding 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 Ellison.

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

✅ R3 csv+padding run 4 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}

✅ R3 csv+padding run 5 graded by code

Author 2 (W12, W13). Institution 2 (W12, W13). Country 4 (W12, W13, W14, W15). A04 is a different person from A01, so W16 is not an author self-citation.

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

✅ R10 executed run 1 graded by code

Author 2, institution 2, country 4. At author level W12 and W13 share an author. At institution level they credit I02 or I03. At country level W12, W13, W14 and W15 are all GB.

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

✅ R10 executed run 2 graded by code

Author level 2 (W12, W13). University of Albury level 2 (W12, W13). Country level 4 (W12, W13, W14, W15, all GB).

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

✅ R10 executed run 3 graded by code

Author 2, institution 2, country 4.
- Author level: W12 (A01) and W13 (A07). W16's A04 is a different person.
- Institution level (University of Albury): W12 and W13.
- Country level (GB): W12, W13, W14 and W15.

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

✅ R10 executed run 4 graded by code

Author 2, institution 2, country 4. At author level, W12 (A01) and W13 (A07) share an author with W03. At institution level, the same two have I02/I03 credits. At country level, W12, W13, W14 and W15 have GB credits.

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

✅ R10 executed run 5 graded by code

Author 2 (W12, W13). University of Albury 2 (W12, W13). Country 4 (W12, W13, W14, W15, all GB).

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