{
  "chart_manifest": [
    {
      "chart_id": "memory_footprint_by_scale",
      "path": "plots/memory_footprint_by_scale.svg",
      "title": "Peak memory footprint by target scale",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "memory_reduction_by_scale",
      "path": "plots/memory_reduction_by_scale.svg",
      "title": "ERAIS peak-memory reduction by target scale",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "memory_saved_by_scale",
      "path": "plots/memory_saved_by_scale.svg",
      "title": "Peak memory saved by target scale",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "ten_step_memory_reduction",
      "path": "plots/ten_step_memory_reduction.svg",
      "title": "10-step ERAIS peak-memory reduction",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "ten_step_memory_saved",
      "path": "plots/ten_step_memory_saved.svg",
      "title": "10-step peak memory saved",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "smoke_loss_guardrail_by_scale",
      "path": "plots/smoke_loss_guardrail_by_scale.svg",
      "title": "Smoke-run loss guardrail by target scale",
      "type": "svg_bar_chart"
    },
    {
      "chart_id": "memory_reduction_line_by_scale",
      "path": "plots/memory_reduction_line_by_scale.svg",
      "title": "Memory-reduction trend line",
      "type": "svg_line_chart"
    },
    {
      "chart_id": "memory_saved_scatter_by_scale",
      "path": "plots/memory_saved_scatter_by_scale.svg",
      "title": "Memory saved versus target scale",
      "type": "svg_scatter_chart"
    }
  ],
  "claim_boundary": [
    "Local evidence only.",
    "10-step desktop scale rows are feasibility/resource-shape evidence.",
    "No final quality superiority claim.",
    "No matched dense throughput superiority claim.",
    "No external reproduction claim."
  ],
  "claims": [
    {
      "claim_id": "desktop.memory_scaling",
      "limitations": [
        "One-step local feasibility only.",
        "Not final quality.",
        "Not external reproduction."
      ],
      "public_wording": "ERAIS used less peak RSS than dense AdamW at every target in the committed desktop one-step scale ladder.",
      "status": "supported"
    },
    {
      "claim_id": "notebook_500m.training_dynamics",
      "limitations": [
        "ERAIS telemetry only.",
        "Not matched dense throughput comparison."
      ],
      "public_wording": "The 500M notebook-equivalent ERAIS run shows a steep eval-loss drop with recorded TPS and memory telemetry.",
      "status": "supported"
    },
    {
      "claim_id": "phase35.cache_efficiency",
      "limitations": [
        "Data pipeline metric, not model quality."
      ],
      "public_wording": "Phase35 records token-cache padding and valid-target ratios for train/validation/test splits.",
      "status": "supported"
    },
    {
      "claim_id": "phase28.routing_mechanics",
      "limitations": [
        "Small sample; do not generalise as corpus-wide expert distribution."
      ],
      "public_wording": "Phase28 records route purity and expert utilisation mechanics on a small proof sample.",
      "status": "partial"
    },
    {
      "claim_id": "quality.superiority",
      "limitations": [
        "Requires matched long-run dense/ERAIS evals and external validation."
      ],
      "public_wording": "No final model quality superiority claim is made.",
      "status": "blocked"
    }
  ],
  "contract": "neuroforge.erais.public_evidence_curves.v1",
  "generated_at_utc": "2026-07-06T00:28:45.093594Z",
  "headline": {
    "erais_500m_active_non_embedding_pct": 6.704,
    "max_memory_reduction_label": "1000M",
    "max_memory_reduction_params_m": 1000,
    "max_memory_reduction_pct": 47.896,
    "max_memory_saving_mib": 9072.82,
    "notebook_500m_eval_loss_drop_pct": 32.047,
    "notebook_500m_mean_compute_tps": 201.844,
    "notebook_500m_mean_valid_tps": 122.928,
    "notebook_500m_perplexity_ratio_improvement": 41.649,
    "phase35_train_padding_pct": 11.903,
    "phase35_train_valid_target_pct": 60.751,
    "ten_step_max_memory_reduction_label": "1000M",
    "ten_step_max_memory_reduction_params_m": 1000,
    "ten_step_max_memory_reduction_pct": 50.13,
    "ten_step_max_memory_saving_mib": 9853.465
  },
  "scale_memory_rows": [
    {
      "dense_peak_rss_mib": 3580.406,
      "dense_smoke_loss": 9.147813,
      "erais_memory_reduction_pct": 24.919,
      "erais_memory_saving_mib": 892.211,
      "erais_peak_rss_mib": 2688.195,
      "erais_smoke_loss": 9.250762,
      "evidence_boundary": "local one-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": 0.102949,
      "parameter_label": "50M",
      "params_m": 50
    },
    {
      "dense_peak_rss_mib": 4520.012,
      "dense_smoke_loss": 9.174436,
      "erais_memory_reduction_pct": 31.866,
      "erais_memory_saving_mib": 1440.352,
      "erais_peak_rss_mib": 3079.66,
      "erais_smoke_loss": 9.151938,
      "evidence_boundary": "local one-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": -0.022497,
      "parameter_label": "100M",
      "params_m": 100
    },
    {
      "dense_peak_rss_mib": 11280.352,
      "dense_smoke_loss": 9.13201,
      "erais_memory_reduction_pct": 38.881,
      "erais_memory_saving_mib": 4385.891,
      "erais_peak_rss_mib": 6894.461,
      "erais_smoke_loss": 9.176769,
      "evidence_boundary": "local one-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": 0.04476,
      "parameter_label": "500M",
      "params_m": 500
    },
    {
      "dense_peak_rss_mib": 18942.91,
      "dense_smoke_loss": 9.184632,
      "erais_memory_reduction_pct": 47.896,
      "erais_memory_saving_mib": 9072.82,
      "erais_peak_rss_mib": 9870.09,
      "erais_smoke_loss": 9.247549,
      "evidence_boundary": "local one-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": 0.062917,
      "parameter_label": "1000M",
      "params_m": 1000
    }
  ],
  "source_artifacts": [
    {
      "bytes": 7977,
      "file": "summary.json"
    },
    {
      "bytes": 1712,
      "file": "claims_matrix.json"
    },
    {
      "bytes": 484,
      "file": "scale_rows.csv"
    },
    {
      "bytes": 686,
      "file": "ten_step_scale_rows.csv"
    }
  ],
  "source_generated_at": "2026-06-25T13:26:52.369842+00:00",
  "source_pack": "neuroforge_attention_curves_v3",
  "status": "public_candidate",
  "ten_step_memory_rows": [
    {
      "dense_peak_rss_mib": 11880.402,
      "dense_smoke_loss": 8.134795,
      "erais_memory_reduction_pct": 41.373,
      "erais_memory_saving_mib": 4915.285,
      "erais_peak_rss_mib": 6965.117,
      "erais_smoke_loss": 8.593699,
      "evidence_boundary": "local 10-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": 0.458903,
      "parameter_label": "500M",
      "params_m": 500,
      "sequence_length": 512,
      "status": "pass",
      "steps": 10
    },
    {
      "dense_peak_rss_mib": 19655.965,
      "dense_smoke_loss": 8.16588,
      "erais_memory_reduction_pct": 50.13,
      "erais_memory_saving_mib": 9853.465,
      "erais_peak_rss_mib": 9802.5,
      "erais_smoke_loss": 8.446446,
      "evidence_boundary": "local 10-step feasibility/resource-shape evidence",
      "loss_delta_erais_minus_dense": 0.280566,
      "parameter_label": "1000M",
      "params_m": 1000,
      "sequence_length": 512,
      "status": "pass",
      "steps": 10
    }
  ]
}
