concept
active
concept:anchor-evolver-setAnchor Evolver Set
Fixed set of representative evolvers (Opus 4.6, Sonnet 4.6, Qwen3-235B) used to compute harness-benefit capability metrics
Neighborhood — ranked by edge-count
Methods (1)
method
- Harness-Benefit Gain (Δbenefit)associated_withMetric measuring harness-benefit capability as the maximum pairwise gain across a fixed anchor evolver set
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The update procedure (often an LLM) that converts agent execution evidence into harness updates
- Fixed set of representative task-solving agents (Opus 4.6, Sonnet 4.6, Qwen3-235B) used to compute harness-updating capability metrics
- External structure (in-context examples, retrieval, tuning) that biases latent pattern activation.
- Self-evolving LLM agent system connecting offline strategy distillation with online retrieval
- Confirms that post-evolution performance bottleneck is on the agent side, not evolver side
- Composite score S = ρd − dr − log k predicting anchoring success.
- Fixed iterative protocol alternating between task-solving batches and harness evolution steps used across all experiments
- Qualitative experiment showing coherent anchors can rebind strong priors across text and vision modalities