Individual skill
webconf-experiments
Use when designing or auditing the empirical section of a Web Conference (WWW) paper — matching evidence to the claim's scale, choosing datasets with provenance and freshness, blocking temporal and popularity leakage, running honest baselines from the sibling circuit, and deciding when live-platform or user-study evidence is required.
The-Web-Conference-Skills/skills/webconf-experiments/SKILL.md
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# Web Conference Experiments
The empirical bar at this venue is not "more datasets" — it is **evidence whose
scale, freshness, and realism match the claim**. A method claiming web-scale
efficiency must show the scaling curve; a measurement claiming platform-general
behavior must show more than one platform; a system claiming deployability must
show cost under realistic load. Audit the claim-evidence match before adding
anything.
## Claim-to-evidence contract
| Claim type | Minimum honest evidence | Habitual shortfall |
|---|---|---|
| "Outperforms" (quality) | Tuned recent baselines, repeated runs, variance, significance | Untuned baselines from 3-year-old code |