finding
active
finding:fractal-basins-and-their-scaling-with-difficulty-replicate-on-alternative-architecture-task-pairings-eqr-maze-encoder-only-looped-transformer-on-countdownFractal basins and their scaling with difficulty replicate on alternative architecture-task pairings (EqR-Maze, encoder-only looped transformer on Countdown)
Replication check ruling out that fractal basins arise only from one model-task pairing.
Source paper
extracted_from(2026) · Jeffrey Lai · Anthony Bao · J. Quinn · William Gilpin
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Papers (1)
paper
Claims (1)
claim
- The paper's generalizing claim distinguishing its contribution from prior narrow demonstrations (e.g., Ercsey-Ravasz & Toroczkai's SAT solver).
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.
- Generalizing interpretation connecting this paper's AI findings to physical analogue computation broadly.
- Visual/qualitative characterization of the basin geometry linking it to classical physical fractal phenomena.
- The paper's core mechanistic claim connecting saddle dynamics to basin fractality.
- Core empirical result establishing fractality scales with task difficulty across four tasks/architectures.
- Self-similar convergence-time basins the paper finds in reasoning models' latent initial-condition space, growing with task difficulty.
- Core result demonstrating topological constraints on self-organization
- Proposes transformers experience cognition as interference-based and continuous; connects to Anima Labs reports of parallel processing.
- Geometry-behavior correlate robust to pooling strategy, distance metric, and frozen encoderfinding0.743Robustness checks confirm sign stability.