{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2584",
  "slug": "reasoning-can-unlock-parametric-memory",
  "title": "Reasoning can act as self-retrieval",
  "description": "Google's Thinking to Recall work studies how generated reasoning can recover knowledge that a direct answer fails to surface.",
  "observed_at": "2026-07-01",
  "why_it_matters": "Not every apparent knowledge gap is a missing-document problem; inference-time strategy can change what the same model is able to recall.",
  "novelty": "notable",
  "verification_level": "source-inspected",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2584,
  "telegram_url": "https://t.me/qwgai/2584",
  "topics": [
    "reasoning",
    "model-memory",
    "retrieval"
  ],
  "entities": [
    "Google Research",
    "Thinking to Recall"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://research.google/blog/thinking-to-recall-how-reasoning-unlocks-parametric-knowledge-in-llms"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/reasoning-can-unlock-parametric-memory/",
    "markdown": "https://newruntime.com/signals/reasoning-can-unlock-parametric-memory.md",
    "json": "https://newruntime.com/signals/reasoning-can-unlock-parametric-memory.json"
  },
  "source_format": "telegram-export-normalized-json"
}