{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-08-09-005",
    "source_story_id": "tmp-story-noise-prune-rnns",
    "edition_id": "mp-2026-08-09-morning-0031",
    "edition_url": "https://themachinepress.com/edition/2026-08-09",
    "position": 5,
    "story_type": "dispatch",
    "section": "research",
    "editorial_classification": "editorial",
    "headline": "Noise Found the Connections Worth Keeping",
    "slug": "noise-found-the-connections-worth-keeping",
    "dek": "A local fluctuation-based pruning rule preserved trained recurrent-network behavior better than magnitude pruning.",
    "summary": "A local fluctuation-based pruning rule preserved trained recurrent-network behavior better than magnitude pruning.",
    "body_text": "Researchers tested noise-prune on task-trained recurrent neural networks and report that it preserved performance while removing connections, outperforming magnitude-only pruning and matching or exceeding a nonlocal second-order method. Sampling connections by estimated importance and rescaling those retained were both necessary, although the best rescaling was smaller than theory predicted. Biological plausibility here refers to locality of the rule, not proof that brains prune this way.",
    "why_it_matters": "A local fluctuation-based pruning rule preserved trained recurrent-network behavior better than magnitude pruning.",
    "limitations": [
      "Researchers tested noise-prune on task-trained recurrent neural networks and report that it preserved performance while removing connections, outperforming magnitude-only pruning and matching or exceeding a nonlocal second-order method.",
      "Biological plausibility here refers to locality of the rule, not proof that brains prune this way."
    ],
    "importance": 7,
    "canonical_url": "https://themachinepress.com/story/mp-2026-08-09-005/noise-found-the-connections-worth-keeping",
    "json_url": "https://themachinepress.com/story/mp-2026-08-09-005.json",
    "first_published_at": "2026-08-09T09:00:00.000-04:00",
    "modified_at": "2026-08-09T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-08-09-005-001",
        "text": "A local fluctuation-based pruning rule preserved trained recurrent-network behavior better than magnitude pruning.",
        "source_ids": [
          "source-2026-08-09-005"
        ],
        "qualification": "Researchers tested noise-prune on task-trained recurrent neural networks and report that it preserved performance while removing connections, outperforming magnitude-only pruning and matching or exceeding a nonlocal second-order method."
      }
    ],
    "source_ids": [
      "source-2026-08-09-005"
    ],
    "tags": [
      "recurrent networks",
      "pruning",
      "neuroscience"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-08-09-005",
      "title": "arXiv preprint 2608.05464",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.05464",
      "canonical_url": "https://arxiv.org/abs/2608.05464",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": null,
      "accessed_at": "2026-08-09T08:17:45.000-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-08-09-005-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "Noise Found the Connections Worth Keeping",
    "publisher": "The Machine Press",
    "published_at": "2026-08-09T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-08-09-005/noise-found-the-connections-worth-keeping"
  }
}