Bubble-sort algorithm temporarily de-sorts the array to route around an immovable 'broken' element (delayed gratification) though this behavior is not coded in the algorithm

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Approximations and prunings compose badly, so postpone them.claim0.711
• "Our results show that reasoning slowdowns are an inevitable consequence of problem hardness in modern artificial intelligence models"quote0.704
  Closing sentence of the abstract stating the paper's headline conclusion.
• Decoding the latent state near a saddle point produces a nearly-correct solution attempt (repeated Sudoku digit / maze dead end)finding0.702
  Directly identifies saddle points with near-miss solution attempts, the mechanistic core of the paper's account.
• In distributed chimeric sorting arrays, cells sharing the same 'algotype' transiently cluster together despite no code checking neighbor algotypefinding0.702
  Second unexpected competency in the minimal sorting-algorithm model, shown alongside delayed gratification.
• We hypothesize that degraded generalization on benchmarks like MMLU may reflect the computational demands of the tasks.hypothesis0.701
  Connecting the paper's task-difficulty findings to prior observations of weak generalization on complex QA benchmarks.
• Hardness-induced fractal basins are ubiquitous in modern reasoning models, emerging even without hand-designed task-specific solvers, across highly distinct architectures and tasksclaim0.701
  The paper's generalizing claim distinguishing its contribution from prior narrow demonstrations (e.g., Ercsey-Ravasz & Toroczkai's SAT solver).
• Reasoning slowdowns are an inevitable consequence of problem hardness in modern AI modelsclaim0.701
  The paper's central interpretive claim, closing statement of the abstract.
• Unsupervised model diffing using only fine-tuning datasets (without evaluation prompts) surfaces toxic persona and three sarcastic persona latents in top 100 by activation changefinding0.700
  Unsupervised approach may be sufficient for early detection of misaligned persona latents without knowing the misaligned behavior in advance