research-document RFR-4B51BF22
Create a shared benchmark and decision threshold: Typography Cross-Layer Transfer and Adaptive Reading
RFR-4B51BF22 — Create a shared benchmark and decision threshold: Typography Cross-Layer Transfer and Adaptive Reading
Research opportunity
Create a shared benchmark and decision threshold for the claims or recommendations in “Typography Cross-Layer Transfer and Adaptive Reading.”
Background
The originating artifact is accepted by the repository publishing inventory with status “canonical research package.” Its DF-TR-001: Typography Intervention Decision Framework section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/project-atlas/research-note/rp-atlas-typo-transfer-001.md
- Section:
DF-TR-001: Typography Intervention Decision Framework - Specific assumption challenged: The source's treatment in “DF-TR-001: Typography Intervention Decision Framework” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “1. Define the task. 2. Define the critical error. 3. Identify the likely bottleneck. 4. Choose an intervention that targets that bottleneck. 5. Measure local effect. 6. Measure eye-movement or effort effect. 7. Measure task-level transfer. 8. Test under degraded conditions. 9. Test individual variation. 10. retain a u…”
- Reason this opportunity exists: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Unknowns
- How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-TYPOGRAPHY-CROSS-LAYER-TRANSFER--BENCHMARK - Methodology: Curate representative cases, blind ground truth where possible, define baselines and uncertainty-aware metrics, and run reproducible benchmark evaluations.
- Expected outputs: Versioned benchmark, baseline implementations, scoring harness, datasheet, and adoption decision rule.
- Success criteria: Independent teams can reproduce scores and the benchmark discriminates meaningful quality differences without rewarding proxy gaming.
- Recommended agent:
research-engineering-agent - Estimated effort: Medium
- Expected knowledge gained: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 4 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 3 |
| Frontier score | 392 |
Confidence in this opportunity: moderate. Status: Open.