Recognition of self-generated outputs

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

• Self-Interaction Data Generationmethod0.782
  Technique where a model generates both sides of a conversation as the same persona, producing diverse synthetic training data
• Self-Reflection Data Generationmethod0.763
  Technique where the assistant reflects on its own character via 10 reflective prompts, generating 1000 responses per prompt
• Predictive Coding Account of Self-Recognitionconcept0.755
  Apps and Tsakiris's proposal that self-recognition can be modeled probabilistically under the free energy principle
• Intrinsic Self-Correction via Linear Representationsframework0.754
  Framework by Lee et al. explaining self-correction via linear latent concept directions, closely related prior work.
• Self-Referencing Activationsconcept0.751
  Latent model activations when processing inputs framed from the model's own perspective
• Self-Referential Processingconcept0.746
  The central experimental manipulation: directing a model to attend to its own cognitive activity
• Identification of algorithms implemented in attention layers, distributed across attention headsfinding0.743
  VPD successfully recovered interpretable attention algorithms (previous-token behavior, syntax-boundary routing) in weight space without requiring manual decomposition across heads.
• How does transparent recognition arise?question0.740
  Open question noting the elucidation describes the state of realization but not the dynamic process leading there.