{
  "article_slug": "continual-learning-memory",
  "figures": [
    {
      "id": "quadratic-retention-tradeoff",
      "kind": "line_chart",
      "title": "Protecting one incompatible target moves loss to the other",
      "x_label": "Protection strength lambda",
      "y_label": "Constructed quadratic loss",
      "x": [
        0,
        0.25,
        1,
        4,
        16
      ],
      "series": [
        {
          "name": "Old task A",
          "y": [
            2,
            1.2800000000000002,
            0.5,
            0.08000000000000002,
            0.006920415224913498
          ]
        },
        {
          "name": "New task B",
          "y": [
            0,
            0.08000000000000002,
            0.5,
            1.2800000000000002,
            1.7716262975778547
          ]
        }
      ],
      "caption": "Exact author-constructed scalar minimizers. No EWC implementation or trained-network accuracy is being measured."
    },
    {
      "id": "rare-memory-coverage",
      "kind": "line_chart",
      "title": "A finite uniform buffer can omit the rare class",
      "x_label": "Stored observations M",
      "y_label": "Probability of no rare observation",
      "x": [
        1,
        5,
        10,
        20,
        40
      ],
      "series": [
        {
          "name": "Without replacement: 5 rare among 100",
          "y": [
            0.95,
            0.7695899532884068,
            0.583752366926152,
            0.31930944198985434,
            0.07254206274824831
          ]
        },
        {
          "name": "Independent draws: rare probability 0.05",
          "y": [
            0.95,
            0.7737809374999998,
            0.5987369392383787,
            0.3584859224085419,
            0.12851215656510312
          ]
        }
      ],
      "caption": "Two explicitly different constructed sampling models. Exact binomial-coefficient calculation for distinct samples; no empirical replay benchmark."
    }
  ],
  "constructed_only": true
}