The garbage collection problem becomes increasingly difficult as generality is preserved while n grows beyond 2, where unreachability of any given key must imply deletion of all values for which some key equals the unreachable one.

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

• Cooperation between the associative memory primitive and storage management is required for efficient garbage collection, especially as n grows beyond 2.hypothesis0.788
• Garbage Collection in n-dimensional Associative Memoryclaim0.776
  Piumarta argues the primary practical challenge is storage management: when any key becomes unreachable, all values indexed by that key must be deleted, requiring cooperation between primitive mechanism and garbage collector.
• garbage collection in n-way associative memoryconcept0.770
  The difficulty of deleting values when any key in an n-tuple becomes unreachable, especially as n grows beyond 2.
• Abstraction is the key of any modularization; without it, reliability and correctness guarantees vanish.claim0.750
  Fundamental design principle driving Oberon: proper abstraction enables modular structure and maintainability.
• Any system that persists must minimise surprisal, thereby gathering evidence for its own generative model.quote0.749
  Opening sentence defining self-evidencing.
• We hypothesize that degraded generalization on benchmarks like MMLU may reflect the computational demands of the tasks.hypothesis0.746
  Connecting the paper's task-difficulty findings to prior observations of weak generalization on complex QA benchmarks.
• Any system that persists must minimise surprisal, thereby gathering evidence for its own generative model, a process known as self-evidencing.claim0.743
  Foundational claim of the paper, defining self-evidencing.
• The unfolding of wholeness through structure-preserving transformations must inevitably create the fifteen properties.hypothesis0.741