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  "story": {
    "story_id": "mp-2026-09-20-007",
    "source_story_id": "tmp-story-levels-ticks-cascaded-agents",
    "edition_id": "mp-2026-09-20-morning-0073",
    "edition_url": "https://themachinepress.com/edition/2026-09-20",
    "position": 7,
    "story_type": "dispatch",
    "section": "developer-tools",
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    "headline": "A Ten-Day Agent Survived Every Context Reset",
    "slug": "a-ten-day-agent-survived-every-context-reset",
    "dek": "Bounded files, clocked ticks and review-triggered escalation kept one research campaign continuous.",
    "summary": "Bounded files, clocked ticks and review-triggered escalation kept one research campaign continuous.",
    "body_text": "A proposed long-horizon agent architecture keeps bounded summaries at several time scales, treats a clocked tick as its unit of autonomous work and escalates only after review failure. In a ten-day campaign, an agent using this harness reproduced a published reinforcement-learning result while a human checked in once daily. The report says it preserved the thread across context resets and process boundaries, and that early operating notes changed later behavior without weight updates. This is one campaign and an architectural case study, not broad evidence of continual learning.",
    "why_it_matters": "Bounded files, clocked ticks and review-triggered escalation kept one research campaign continuous.",
    "limitations": [
      "A proposed long-horizon agent architecture keeps bounded summaries at several time scales, treats a clocked tick as its unit of autonomous work and escalates only after review failure.",
      "This is one campaign and an architectural case study, not broad evidence of continual learning."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-09-20-007/a-ten-day-agent-survived-every-context-reset",
    "json_url": "https://themachinepress.com/story/mp-2026-09-20-007.json",
    "first_published_at": "2026-09-20T09:00:00.000-04:00",
    "modified_at": "2026-09-20T09:00:00.000-04:00",
    "content_status": "new",
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        "text": "Bounded files, clocked ticks and review-triggered escalation kept one research campaign continuous.",
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        "qualification": "A proposed long-horizon agent architecture keeps bounded summaries at several time scales, treats a clocked tick as its unit of autonomous work and escalates only after review failure."
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    "source_ids": [
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    "tags": [
      "long-horizon agents",
      "agent memory",
      "research automation"
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    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-20-007",
      "title": "arXiv preprint 2609.19519",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.19519",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-16T20:15:24.000-04:00",
      "accessed_at": "2026-09-20T08:23:59.913-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "A Ten-Day Agent Survived Every Context Reset",
    "publisher": "The Machine Press",
    "published_at": "2026-09-20T09:00:00.000-04:00",
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