Cooperation between the associative memory primitive and storage management is required for efficient garbage collection, especially as n grows beyond 2.

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

• Garbage Collection in n-dimensional Associative Memoryclaim0.823
  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 memoryconcept0.811
  The difficulty of deleting values when any key in an n-tuple becomes unreachable, especially as n grows beyond 2.
• On a Model of Associative Memory with Huge Storage Capacity (Demircigil et al., 2017)concept0.810
  Analytical result showing exponential power activation allows memory storage scaling as 2^(N/2); cited in context of Hopfield scaling.
• 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.claim0.788
  Claim that full genericity of n-way associative memory introduces significant memory management challenges.
• Efficient hardware support for large n-dimensional associative memory would enable implementations of diverse object models.finding0.788
• Many apparently different object-oriented, functional, and relational mechanisms are closely related as variations within a general parameterizable n-way associative memory.claim0.761
• "many apparently very different and interesting organisations and behaviours are in fact closely related as slight variations within a general, parameterisable, n-way associative memory"concept0.755
  Encapsulates Piumarta's core unifying thesis about the generality and power of the associative primitive.
• Dense Associative Memory for Pattern Recognition (Krotov & Hopfield, 2016)concept0.755
  Paper exploring two-type feature binding in dense associative memory; analogous to TEM-t binding g and x in memory neurons.