{
  "schema_version": 1,
  "builder_plan": {
    "scenario": "A workflow needs specialist review, but extra agents may add more cost than useful work.",
    "change": "Test the proposed division of work against a single-agent implementation.",
    "baseline": "One agent with the same tools and an equal total token and time budget.",
    "steps": [
      "Locate the paper's implementation and check its license, model support, data needs, and hardware requirements. Stop here if you cannot obtain the required artifacts.",
      "Save a small set of representative product tasks and expected outcomes. Keep evaluation tasks out of any training or tuning, and choose quality and cost limits before running.",
      "Run the baseline and the proposed change on identical inputs. Keep other settings fixed and repeat paired runs to expose variation.",
      "Save per-task outputs, failures, timings, and all usage costs. Review regressions before expanding the test."
    ],
    "measure": "Accepted outputs, coordination failures, wall-clock time, and total cost across all agents.",
    "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation."
  },
  "builder_review": null,
  "arxiv_id": "2610.21538",
  "title": "Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems",
  "summary": "ASP replaces ad hoc, self-reported agent logging and custom monitoring glue with a defined JSON-over-HTTP push model, server-side liveness inference from missed heartbeats, and SSE distribution of aggregated multi-dimensional state (lifecycle, health, task, floor, governance). It costs an additional status server to deploy and maintain, heartbeat and event instrumentation in every agent, and adoption risk from building on a non-standardized v0.1 draft whose schema may change. It can fail silently if heartbeats are lost due to network partition rather than agent failure, if supervisor or peer observations are themselves wrong or malicious, or if the specification stalls without community adoption, leaving the reader maintaining a private fork. ",
  "rationale": "This is a lightweight HTTP/SSE protocol that runs on minimal infrastructure and could standardize agent observability, but as a v0.1 working draft with no independent implementations or benchmarks, it warrants a small pilot rather than production commitment.",
  "technique": "Agent status reporting protocol (ASP v0.1)",
  "family": "orquestracao_multiagente",
  "recommendation": "testar",
  "published": "2026-10-15",
  "as_of": "2026-10-18",
  "editorial_status": "indexed",
  "source_url": "https://arxiv.org/abs/2610.21538",
  "independent_implementations": 1,
  "total_implementations": 2,
  "stars": 132,
  "citations": 0,
  "claims": [
    {
      "claim_id": "claim-01",
      "statement": "ASP replaces ad hoc, self-reported agent logging and custom monitoring glue with a defined JSON-over-HTTP push model, server-side liveness inference from missed heartbeats, and SSE distribution of aggregated multi-dimensional state (lifecycle, health, task, floor, governance). It costs an additional status server to deploy and maintain, heartbeat and event instrumentation in every agent, and adoption risk from building on a non-standardized v0.1 draft whose schema may change. It can fail silently if heartbeats are lost due to network partition rather than agent failure, if supervisor or peer observations are themselves wrong or malicious, or if the specification stalls without community adoption, leaving the reader maintaining a private fork. ",
      "basis": "inferred",
      "result": "",
      "baseline": "",
      "conditions": "",
      "source_url": "https://arxiv.org/abs/2610.21538",
      "source_page": null,
      "source_excerpt": ""
    }
  ],
  "exposure_map": [
    {
      "dimension": "quality",
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      "finding": "",
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      "next_check": "",
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    },
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      "dimension": "compute",
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    },
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      "dimension": "latency",
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    },
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      "dimension": "operations",
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    },
    {
      "dimension": "compatibility",
      "basis": "not_evaluated",
      "finding": "",
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      "next_check": "",
      "source_url": "",
      "source_page": null,
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    },
    {
      "dimension": "security",
      "basis": "not_evaluated",
      "finding": "",
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      "next_check": "",
      "source_url": "",
      "source_page": null,
      "source_excerpt": ""
    },
    {
      "dimension": "data_and_training",
      "basis": "not_evaluated",
      "finding": "",
      "interpretation": "",
      "limitation": "",
      "next_check": "",
      "source_url": "",
      "source_page": null,
      "source_excerpt": ""
    },
    {
      "dimension": "reproducibility",
      "basis": "not_evaluated",
      "finding": "",
      "interpretation": "",
      "limitation": "",
      "next_check": "",
      "source_url": "",
      "source_page": null,
      "source_excerpt": ""
    }
  ],
  "risks": [],
  "minimum_test": [],
  "open_questions": [],
  "independent_tests": [],
  "lab_reproductions": [],
  "report_available": false,
  "validation_tier": "unknown",
  "evidence_tier": "unknown",
  "infrastructure_basis": "unknown",
  "equations": [],
  "equations_status": "not_fetched",
  "core_kind": "",
  "equations_fetched_at": "",
  "equations_source_url": "",
  "equations_source_sha256": "",
  "exposures_reviewed_at": "",
  "exposures_source_sha256": ""
}