Q18, run 2026-11-04-2035-haiku

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

5. A07 is on W01, W02, W03, W13 and W72; W05 (ERR) is excluded. W02 is a preprint of W03, so the underlying work count would be 4 if versions were merged.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R1 csv run 2 graded by code

5. **Reasoning:** A07's research works are W01, W02, W03, W13 and W72. W02 is a preprint of W03 and is counted as its own record; collapsing the two would give 4.

JSON: {"count": 5}

Why: count: expected 4, got 5

❌ R1 csv run 3 graded by code

5. W01, W02, W03, W13 and W72. W05 is excluded as an erratum.

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R1 csv run 4 graded by code

4 distinct works, from 5 records. These are W01, W03 (with preprint W02), W13 and W72. W05 (ERR) is excluded.

JSON: {"count": 4}

❌ R1 csv run 5 graded by code

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

JSON: {"count": 5}

Why: count: expected 4, got 5

✅ R10 executed run 1 graded by code

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

JSON: {"count": 4}

✅ R10 executed run 2 graded by code

4. These are W01, W03, W13 and W72. W05 is not research output.

JSON: {"count": 4}

✅ R10 executed run 3 graded by code

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

JSON: {"count": 4}

✅ R10 executed run 4 graded by code

Four: 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 not research output).

JSON: {"count": 4}