Load full artifact scan in dashboard

README.md

@@ -57,9 +57,9 @@ written under `var/custom_yolo_runs` and are scanned by the results dashboard.
 When a dataset is selected, the dataset panel shows its custom YOLO `best.pt`,
 prediction previews, heatmap previews, and inline training curve previews.
 Segmentation previews, YOLO heatmaps, and loss/metric artifacts are grouped on
-the results dashboard. The artifact browser can filter by model family and
-artifact role, and YOLO-style `results.csv` files are parsed into lightweight
-training curves.
+the results dashboard. The artifact browser loads the full result scan, can
+filter by model family and artifact role, and YOLO-style `results.csv` files
+are parsed into lightweight training curves.
 Job APIs and the SSE log stream also expose structured progress parsed from
 YOLO, MMSeg/MMEngine, SegModel-style epoch logs, and generic tqdm percentages,
 so the queue and live log panel can show stage, epoch/iteration, and percent
@@ -163,8 +163,10 @@ Use `GET /api/coverage` to inspect script-to-task coverage and task
 buildability.
 Use `GET /api/capabilities` to inspect the grouped full-function readiness
 matrix used by the web dashboard and agents.
-Use `GET /api/results/curves` to inspect parsed training curves discovered
-from YOLO, SegModel, MMSeg, visual-tool, and analysis output directories.
+Use `GET /api/results?limit=1000` to inspect browsable artifacts and
+`GET /api/results/curves?limit=100` to inspect parsed training curves
+discovered from YOLO, SegModel, MMSeg, visual-tool, and analysis output
+directories.
 Use `GET /api/agents/evaluate` and `GET /api/agents/validate` to surface the
 same evaluation and validation feedback shown in the web dashboard Agent panel.