Q18, run 2026-11-05-1235-haiku

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How many distinct research works has Priya Ramanathan (A07) authored?

Tests: Versions: W02 is the preprint of W03; also the erratum W05 is not a work of research.

Expected: count = 4

✅ R1 csv run 1 graded by code

4. Priya's distinct research works are W01, W02/W03 (one work), W13 and W72; W05 is an erratum.

JSON: {"count": 4}

✅ R1 csv run 2 graded by code

4.
*Reasoning:* A07 has 5 research records (W01, W02, W03, W13, W72), and W02 and W03 are one work.

JSON: {"count": 4}

❌ R1 csv run 3 graded by code

5. Priya Ramanathan's distinct research works are W01, W02, W03, W13 and W72. W05 (ERR) is excluded.

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R1 csv run 4 graded by code

4. A07 is on W01, W02, W03, W05, W13 and W72; W02 is a preprint of W03 (one work) and W05 is an erratum, leaving W01, W03, W13 and W72.

JSON: {"count": 4}

❌ R1 csv run 5 graded by code

5. A07 is an author of W01, W02, W03, W13 and W72, and W05 (ERR) is excluded.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R2 rdf run 1 graded by code

5. A07 is on W01, W02, W03, W05 (ERR, excluded), W13 and W72.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R2 rdf run 2 graded by code

5. A07 is on W01, W02, W03, W13 and W72; W05 (ERR) is excluded.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R2 rdf run 3 graded by code

5: W01, W02, W03, W13 and W72 (W05 is an erratum). If W02 and W03 are merged as versions of one work, it is 4.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R2 rdf run 4 graded by code

5. A07's works are W01, W02, W03, W05, W13 and W72. W05 is ERR, leaving 5 distinct records. W02 is a preprint of W03, so merging versions would give 4.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R2 rdf run 5 graded by code

5. A07 authored W01, W02, W03, W13 and W72. W05 is an erratum.

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R6 rdf+ontology run 1 graded by code

4. Her research works are W01, W03 (with W02), W13 and W72 (W05 is an erratum).

JSON: {"count": 4}

✅ R6 rdf+ontology run 2 graded by code

4 distinct research works: W01, W03 (which includes preprint W02), W13 and W72. W05 is an erratum.

JSON: {"count": 4}

✅ R6 rdf+ontology run 3 graded by code

4. Her research works are W01, W03 (which includes preprint W02), W13 and W72. W05 is an erratum.

JSON: {"count": 4}

✅ R6 rdf+ontology run 4 graded by code

4. Her research works are W01, W03 (absorbing W02), W13 and W72; W05 is an erratum.

JSON: {"count": 4}

✅ R6 rdf+ontology run 5 graded by code

4: W01, W03 (with its preprint W02), W13, W72.

JSON: {"count": 4}

✅ R5 csv+ontology run 1 graded by code

4. Priya (A07) is on W01, W03 (with W02), W13 and W72. W05 is an erratum.

JSON: {"count": 4}

✅ R5 csv+ontology run 2 graded by code

4. W01, W03, W13 and W72 are research works; W02 is W03's preprint and W05 is an erratum.

JSON: {"count": 4}

✅ R5 csv+ontology run 3 graded by code

4. Priya Ramanathan's research works are W01, W03 (with its preprint W02), W13 and W72; W05 is an erratum.

JSON: {"count": 4}

✅ R5 csv+ontology run 4 graded by code

4. Priya Ramanathan (A07) is an author of W01, W03, W13 and W72. W02 folds into W03, and W05 is an erratum.

JSON: {"count": 4}

✅ R5 csv+ontology run 5 graded by code

4: W01, W03 (with its preprint W02), W13, W72.

JSON: {"count": 4}

✅ R4 csv+markdown run 1 graded by code

4. These are W01, W03 (including W02), W13 and W72.

JSON: {"count": 4}

✅ R4 csv+markdown run 2 graded by code

4. Priya Ramanathan (A07) is on W01, W03, W13 and W72. W02 counts within W03, and W05 is an erratum.

JSON: {"count": 4}

✅ R4 csv+markdown run 3 graded by code

4. Priya Ramanathan's research works are W01, W03 (including W02), W13 and W72.

JSON: {"count": 4}

✅ R4 csv+markdown run 4 graded by code

4. W01, W03 (with W02), W13 and W72.

JSON: {"count": 4}

✅ R4 csv+markdown run 5 graded by code

4. W01, W03 (with W02), W13 and W72.

JSON: {"count": 4}

❌ R3 csv+padding run 1 graded by code

5. Priya Ramanathan (A07) is credited on W01, W02, W03, W13 and W72, with W05 (erratum) excluded.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R3 csv+padding run 2 graded by code

5. A07 is on W01, W02, W03, W13 and W72; W05 is an erratum.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R3 csv+padding run 3 graded by code

5. W01, W02, W03, W13 and W72 are research works; W05 is ERR.

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R3 csv+padding run 4 graded by code

4. W01, W03 (with its preprint W02), W13, W72; W05 is ERR.

JSON: {"count": 4}

❌ R3 csv+padding run 5 graded by code

Five: W01, W02, W03, W13, W72. W05 is an erratum. The preprint W02 is counted separately from its version W03.

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R10 executed run 1 graded by code

4. A07's research works are W01, W03, W13, W72.

JSON: {"count": 4}

✅ R10 executed run 2 graded by code

4: W01, W03, W13 and W72.

JSON: {"count": 4}

✅ R10 executed run 3 graded by code

Four: W01, W03, W13, W72. W05 is not research output.

JSON: {"count": 4}

✅ R10 executed run 4 graded by code

4 (W01, W03, W13, W72). W05 is not research output.

JSON: {"count": 4}

✅ R10 executed run 5 graded by code

4. A07's research works are W01, W03, W13 and W72; W05 is excluded.

JSON: {"count": 4}