{
  "schema_version": "1.0",
  "generated_at": "2026-06-22T21:01:41.003Z",
  "n_cells": 56,
  "systems": [
    "mem0_v3_cloud",
    "mnemoverse",
    "mnemoverse_engine",
    "mnemoverse_http",
    "naked_cosine",
    "supermemory",
    "zep"
  ],
  "benchmarks": [
    "beam",
    "locomo"
  ],
  "cells": [
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv26_n152_k10",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv26_n152_k10.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5724,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.572368,
        "mem0": 0.684211,
        "mem0-4o": 0.710526,
        "strict": 0.256579
      },
      "cost_usd_total": 0.02,
      "wallclock_s": 1345,
      "git_sha": "6ee1326",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv26_n152_k100",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv26_n152_k100.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6645,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.664474,
        "mem0": 0.710526,
        "mem0-4o": 0.75,
        "strict": 0.276316
      },
      "cost_usd_total": 0.1271,
      "wallclock_s": 1290.73,
      "git_sha": "a6588c0",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv26_n152_k20",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv26_n152_k20.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.625,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.625,
        "mem0": 0.717105,
        "mem0-4o": 0.736842,
        "strict": 0.282895
      },
      "cost_usd_total": 0.0317,
      "wallclock_s": 1199.71,
      "git_sha": "a6588c0",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv26_n152_k200",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv26_n152_k200.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6645,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.664474,
        "mem0": 0.730263,
        "mem0-4o": 0.743421,
        "strict": 0.269737
      },
      "cost_usd_total": 0.1922,
      "wallclock_s": 1272.71,
      "git_sha": "a6588c0",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv26_n152_k50",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv26_n152_k50.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.625,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.625,
        "mem0": 0.703947,
        "mem0-4o": 0.723684,
        "strict": 0.269737
      },
      "cost_usd_total": 0.0679,
      "wallclock_s": 1208.91,
      "git_sha": "a6588c0",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_engine_beam_10m_conv0-9_n200_k200",
      "path": "cells/cell_mnemoverse_engine_beam_10m_conv0-9_n200_k200.json",
      "system": "mnemoverse_engine",
      "benchmark": "beam",
      "benchmark_scope": "10m_conv0-9",
      "benchmark_scope_n": 200,
      "role": "headline",
      "k": 200,
      "reader_model": "claude-sonnet-4-6",
      "primary_judge": "gpt-5",
      "headline_metric": 0.61,
      "judge_accuracy_by_judge": {
        "gpt-5": 0.61
      },
      "cost_usd_total": 1.7639,
      "wallclock_s": 108930.97,
      "git_sha": null,
      "eval_path": "beam_v1",
      "known_asymmetries": [
        "BEAM-SINGLE-SEED",
        "BEAM-READER-MISMATCH",
        "BEAM-INPUT-TOKEN-ASYM"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "beam-10m-2026-05-26",
        "single-system",
        "single-seed"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": false
    },
    {
      "cell_id": "cell_mnemoverse_engine_locomo_conv26_n152_k10",
      "path": "cells/cell_mnemoverse_engine_locomo_conv26_n152_k10.json",
      "system": "mnemoverse_engine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6908,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.690789,
        "mem0": 0.802632,
        "mem0-4o": 0.822368,
        "strict": 0.375
      },
      "cost_usd_total": 0.0456,
      "wallclock_s": 1867.49,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_engine_locomo_conv26_n152_k100",
      "path": "cells/cell_mnemoverse_engine_locomo_conv26_n152_k100.json",
      "system": "mnemoverse_engine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6645,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.664474,
        "mem0": 0.75,
        "mem0-4o": 0.802632,
        "strict": 0.361842
      },
      "cost_usd_total": 0.1426,
      "wallclock_s": 1822.53,
      "git_sha": "fb67250",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_engine_locomo_conv26_n152_k20",
      "path": "cells/cell_mnemoverse_engine_locomo_conv26_n152_k20.json",
      "system": "mnemoverse_engine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6842,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.684211,
        "mem0": 0.809211,
        "mem0-4o": 0.848684,
        "strict": 0.361842
      },
      "cost_usd_total": 0.0813,
      "wallclock_s": 1815.03,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_engine_locomo_conv26_n152_k200",
      "path": "cells/cell_mnemoverse_engine_locomo_conv26_n152_k200.json",
      "system": "mnemoverse_engine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6382,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.638158,
        "mem0": 0.743421,
        "mem0-4o": 0.809211,
        "strict": 0.375
      },
      "cost_usd_total": 0.1313,
      "wallclock_s": 1884.72,
      "git_sha": "5e8d805",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_engine_locomo_conv26_n152_k50",
      "path": "cells/cell_mnemoverse_engine_locomo_conv26_n152_k50.json",
      "system": "mnemoverse_engine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.7105,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.710526,
        "mem0": 0.769737,
        "mem0-4o": 0.822368,
        "strict": 0.388158
      },
      "cost_usd_total": 0.14,
      "wallclock_s": 1876.98,
      "git_sha": "fb67250",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv26_n152_k10",
      "path": "cells/cell_mnemoverse_http_locomo_conv26_n152_k10.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.2961,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.296053,
        "mem0": 0.427632,
        "mem0-4o": 0.453947,
        "strict": 0.125
      },
      "cost_usd_total": 0.0263,
      "wallclock_s": 1864.82,
      "git_sha": "45e1a23",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv26_n152_k100",
      "path": "cells/cell_mnemoverse_http_locomo_conv26_n152_k100.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5263,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.526316,
        "mem0": 0.697368,
        "mem0-4o": 0.782895,
        "strict": 0.282895
      },
      "cost_usd_total": 0.2124,
      "wallclock_s": 3135.89,
      "git_sha": "6e39d25",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv26_n152_k20",
      "path": "cells/cell_mnemoverse_http_locomo_conv26_n152_k20.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.3618,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.361842,
        "mem0": 0.506579,
        "mem0-4o": 0.565789,
        "strict": 0.151316
      },
      "cost_usd_total": 0.0456,
      "wallclock_s": 2171.13,
      "git_sha": "45e1a23",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv26_n152_k200",
      "path": "cells/cell_mnemoverse_http_locomo_conv26_n152_k200.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5395,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.539474,
        "mem0": 0.717105,
        "mem0-4o": 0.789474,
        "strict": 0.315789
      },
      "cost_usd_total": 0.4133,
      "wallclock_s": 3582.69,
      "git_sha": "6e39d25",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv26_n152_k50",
      "path": "cells/cell_mnemoverse_http_locomo_conv26_n152_k50.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.4079,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.407895,
        "mem0": 0.578947,
        "mem0-4o": 0.657895,
        "strict": 0.217105
      },
      "cost_usd_total": 0.1039,
      "wallclock_s": 2547.39,
      "git_sha": "45e1a23",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv26_n152_k10",
      "path": "cells/cell_naked_cosine_locomo_conv26_n152_k10.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5921,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.592105,
        "mem0": 0.769737,
        "mem0-4o": 0.815789,
        "strict": 0.282895
      },
      "cost_usd_total": 0.1744,
      "wallclock_s": 1551.49,
      "git_sha": "1cc6512",
      "eval_path": "asymmetric_v1",
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08",
        "historic-2026-06-04"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv26_n152_k100",
      "path": "cells/cell_naked_cosine_locomo_conv26_n152_k100.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6645,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.664474,
        "mem0": 0.809211,
        "mem0-4o": 0.881579,
        "strict": 0.407895
      },
      "cost_usd_total": 0.3237,
      "wallclock_s": 1642.39,
      "git_sha": "1cc6512",
      "eval_path": "asymmetric_v1",
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08",
        "historic-2026-06-04"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv26_n152_k20",
      "path": "cells/cell_naked_cosine_locomo_conv26_n152_k20.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5987,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.598684,
        "mem0": 0.776316,
        "mem0-4o": 0.855263,
        "strict": 0.335526
      },
      "cost_usd_total": 0.1952,
      "wallclock_s": 1529.98,
      "git_sha": "1cc6512",
      "eval_path": "asymmetric_v1",
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08",
        "historic-2026-06-04"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv26_n152_k200",
      "path": "cells/cell_naked_cosine_locomo_conv26_n152_k200.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.7039,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.703947,
        "mem0": 0.842105,
        "mem0-4o": 0.901316,
        "strict": 0.375
      },
      "cost_usd_total": 0.4677,
      "wallclock_s": 1336.55,
      "git_sha": "1cc6512",
      "eval_path": "asymmetric_v1",
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08",
        "historic-2026-06-04"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv26_n152_k50",
      "path": "cells/cell_naked_cosine_locomo_conv26_n152_k50.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6316,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.631579,
        "mem0": 0.809211,
        "mem0-4o": 0.881579,
        "strict": 0.361842
      },
      "cost_usd_total": 0.2445,
      "wallclock_s": 1510.18,
      "git_sha": "1cc6512",
      "eval_path": "asymmetric_v1",
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08",
        "historic-2026-06-04"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv26_n152_k10",
      "path": "cells/cell_supermemory_locomo_conv26_n152_k10.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.3421,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.342105,
        "mem0": 0.421053,
        "mem0-4o": 0.473684,
        "strict": 0.190789
      },
      "cost_usd_total": 0.0201,
      "wallclock_s": 1422.42,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv26_n152_k100",
      "path": "cells/cell_supermemory_locomo_conv26_n152_k100.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6382,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.638158,
        "mem0": 0.769737,
        "mem0-4o": 0.828947,
        "strict": 0.335526
      },
      "cost_usd_total": 0.0845,
      "wallclock_s": 1430.49,
      "git_sha": "fb67250",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv26_n152_k20",
      "path": "cells/cell_supermemory_locomo_conv26_n152_k20.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.4211,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.421053,
        "mem0": 0.532895,
        "mem0-4o": 0.546053,
        "strict": 0.236842
      },
      "cost_usd_total": 0.0439,
      "wallclock_s": 1455.25,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv26_n152_k200",
      "path": "cells/cell_supermemory_locomo_conv26_n152_k200.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6447,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.644737,
        "mem0": 0.796053,
        "mem0-4o": 0.835526,
        "strict": 0.348684
      },
      "cost_usd_total": 0.0843,
      "wallclock_s": 1422.59,
      "git_sha": "fb67250",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv26_n152_k50",
      "path": "cells/cell_supermemory_locomo_conv26_n152_k50.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6513,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.651316,
        "mem0": 0.789474,
        "mem0-4o": 0.822368,
        "strict": 0.348684
      },
      "cost_usd_total": 0.0843,
      "wallclock_s": 1563.56,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv26_n152_k10",
      "path": "cells/cell_zep_locomo_conv26_n152_k10.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.2171,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.217105,
        "mem0": 0.296053,
        "mem0-4o": 0.328947,
        "strict": 0.085526
      },
      "cost_usd_total": 0.0117,
      "wallclock_s": 1147.24,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv26_n152_k20",
      "path": "cells/cell_zep_locomo_conv26_n152_k20.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.3553,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.355263,
        "mem0": 0.480263,
        "mem0-4o": 0.546053,
        "strict": 0.125
      },
      "cost_usd_total": 0.0167,
      "wallclock_s": 1133.91,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv26_n152_k50",
      "path": "cells/cell_zep_locomo_conv26_n152_k50.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv26_n152",
      "benchmark_scope_n": 152,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.4803,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.480263,
        "mem0": 0.638158,
        "mem0-4o": 0.684211,
        "strict": 0.190789
      },
      "cost_usd_total": 0.0318,
      "wallclock_s": 1202.61,
      "git_sha": "70b3ed2",
      "eval_path": null,
      "known_asymmetries": null,
      "asymmetry_inventory_url": null,
      "tags": [
        "baseline-2026-06-08"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv47_n190_k10",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv47_n190_k10.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5947,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.594737,
        "strict": 0.373684,
        "mem0": 0.684211,
        "mem0-4o": 0.705263
      },
      "cost_usd_total": 0.1797,
      "wallclock_s": 2288.26,
      "git_sha": "5bd54cb",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028",
        "ASYM-029"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv47_n190_k100",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv47_n190_k100.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6316,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.631579,
        "strict": 0.4,
        "mem0": 0.721053,
        "mem0-4o": 0.757895
      },
      "cost_usd_total": 0.304,
      "wallclock_s": 2330.49,
      "git_sha": "592b530",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv47_n190_k20",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv47_n190_k20.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6474,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.647368,
        "strict": 0.405263,
        "mem0": 0.731579,
        "mem0-4o": 0.752632
      },
      "cost_usd_total": 0.1934,
      "wallclock_s": 1640.96,
      "git_sha": "44ddb9f",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv47_n190_k200",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv47_n190_k200.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6737,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.673684,
        "strict": 0.415789,
        "mem0": 0.752632,
        "mem0-4o": 0.778947
      },
      "cost_usd_total": 0.4377,
      "wallclock_s": 1751.48,
      "git_sha": "afda002",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mem0_v3_cloud_locomo_conv47_n190_k50",
      "path": "cells/cell_mem0_v3_cloud_locomo_conv47_n190_k50.json",
      "system": "mem0_v3_cloud",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6368,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.636842,
        "strict": 0.384211,
        "mem0": 0.715789,
        "mem0-4o": 0.747368
      },
      "cost_usd_total": 0.2352,
      "wallclock_s": 1676,
      "git_sha": "44ddb9f",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv47_n190_k10",
      "path": "cells/cell_mnemoverse_http_locomo_conv47_n190_k10.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5895,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.589474,
        "strict": 0.457895,
        "mem0": 0.752632,
        "mem0-4o": 0.778947
      },
      "cost_usd_total": 0.213,
      "wallclock_s": 2320.37,
      "git_sha": "44ddb9f",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-012",
        "ASYM-014",
        "ASYM-022",
        "ASYM-026",
        "ASYM-027",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "lower_bound",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.22,
          "10": 0.257778
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0,
              "10": 0
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.313725,
              "10": 0.338235
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.116667,
              "10": 0.183333
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.240964,
              "10": 0.283133
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10
        ],
        "cell_native_k": 10
      },
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv47_n190_k100",
      "path": "cells/cell_mnemoverse_http_locomo_conv47_n190_k100.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6421,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.642105,
        "strict": 0.473684,
        "mem0": 0.784211,
        "mem0-4o": 0.821053
      },
      "cost_usd_total": 0.5161,
      "wallclock_s": 5247.8,
      "git_sha": "afda002",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-012",
        "ASYM-014",
        "ASYM-022",
        "ASYM-026",
        "ASYM-027",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "lower_bound",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.212222,
          "10": 0.257778,
          "20": 0.286667,
          "50": 0.302222,
          "100": 0.311667
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0,
              "10": 0,
              "20": 0,
              "50": 0,
              "100": 0
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.279412,
              "10": 0.338235,
              "20": 0.352941,
              "50": 0.362745,
              "100": 0.362745
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.141667,
              "10": 0.158333,
              "20": 0.2,
              "50": 0.2,
              "100": 0.270833
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.23494,
              "10": 0.289157,
              "20": 0.325301,
              "50": 0.349398,
              "100": 0.349398
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50,
          100
        ],
        "cell_native_k": 100
      },
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv47_n190_k20",
      "path": "cells/cell_mnemoverse_http_locomo_conv47_n190_k20.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6105,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.610526,
        "strict": 0.436842,
        "mem0": 0.768421,
        "mem0-4o": 0.821053
      },
      "cost_usd_total": 0.2598,
      "wallclock_s": 3068.4,
      "git_sha": "592b530",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-012",
        "ASYM-014",
        "ASYM-022",
        "ASYM-026",
        "ASYM-027",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "lower_bound",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.216667,
          "10": 0.257778,
          "20": 0.283333
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0,
              "10": 0,
              "20": 0
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.284314,
              "10": 0.338235,
              "20": 0.338235
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.141667,
              "10": 0.183333,
              "20": 0.2
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.240964,
              "10": 0.283133,
              "20": 0.325301
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20
        ],
        "cell_native_k": 20
      },
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv47_n190_k200",
      "path": "cells/cell_mnemoverse_http_locomo_conv47_n190_k200.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6737,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.673684,
        "strict": 0.489474,
        "mem0": 0.810526,
        "mem0-4o": 0.857895
      },
      "cost_usd_total": 0.7767,
      "wallclock_s": 6113.16,
      "git_sha": "afda002",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-012",
        "ASYM-014",
        "ASYM-022",
        "ASYM-026",
        "ASYM-027",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "lower_bound",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.213333,
          "10": 0.253333,
          "20": 0.286667,
          "50": 0.3,
          "100": 0.310556,
          "200": 0.316667
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0,
              "10": 0,
              "20": 0,
              "50": 0,
              "100": 0,
              "200": 0
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.284314,
              "10": 0.338235,
              "20": 0.352941,
              "50": 0.352941,
              "100": 0.362745,
              "200": 0.377451
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.141667,
              "10": 0.175,
              "20": 0.2,
              "50": 0.2,
              "100": 0.2625,
              "200": 0.283333
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.23494,
              "10": 0.277108,
              "20": 0.325301,
              "50": 0.349398,
              "100": 0.349398,
              "200": 0.349398
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50,
          100,
          200
        ],
        "cell_native_k": 200
      },
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_http_locomo_conv47_n190_k50",
      "path": "cells/cell_mnemoverse_http_locomo_conv47_n190_k50.json",
      "system": "mnemoverse_http",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6105,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.610526,
        "strict": 0.452632,
        "mem0": 0.763158,
        "mem0-4o": 0.805263
      },
      "cost_usd_total": 0.3593,
      "wallclock_s": 3791.89,
      "git_sha": "afda002",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-012",
        "ASYM-014",
        "ASYM-022",
        "ASYM-026",
        "ASYM-027",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "lower_bound",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.213333,
          "10": 0.254444,
          "20": 0.286667,
          "50": 0.302222
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0,
              "10": 0,
              "20": 0,
              "50": 0
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.269608,
              "10": 0.338235,
              "20": 0.352941,
              "50": 0.362745
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.141667,
              "10": 0.183333,
              "20": 0.2,
              "50": 0.2
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.240964,
              "10": 0.277108,
              "20": 0.325301,
              "50": 0.349398
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50
        ],
        "cell_native_k": 50
      },
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_locomo_conv47_n190_k10",
      "path": "cells/cell_mnemoverse_locomo_conv47_n190_k10.json",
      "system": "mnemoverse",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5105,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.510526,
        "strict": 0.352632,
        "mem0": 0.657895,
        "mem0-4o": 0.721053
      },
      "cost_usd_total": 0.1979,
      "wallclock_s": 2112.5,
      "git_sha": "73083d4",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-019",
        "ASYM-022",
        "ASYM-028",
        "ASYM-030"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_locomo_conv47_n190_k100",
      "path": "cells/cell_mnemoverse_locomo_conv47_n190_k100.json",
      "system": "mnemoverse",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6263,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.626316,
        "strict": 0.463158,
        "mem0": 0.763158,
        "mem0-4o": 0.815789
      },
      "cost_usd_total": 0.4579,
      "wallclock_s": 1866.93,
      "git_sha": "f6c536b",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-019",
        "ASYM-022",
        "ASYM-028",
        "ASYM-030"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_locomo_conv47_n190_k20",
      "path": "cells/cell_mnemoverse_locomo_conv47_n190_k20.json",
      "system": "mnemoverse",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5842,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.584211,
        "strict": 0.447368,
        "mem0": 0.726316,
        "mem0-4o": 0.794737
      },
      "cost_usd_total": 0.227,
      "wallclock_s": 1901.93,
      "git_sha": "73083d4",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-019",
        "ASYM-022",
        "ASYM-028",
        "ASYM-030"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_locomo_conv47_n190_k200",
      "path": "cells/cell_mnemoverse_locomo_conv47_n190_k200.json",
      "system": "mnemoverse",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6526,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.652632,
        "strict": 0.463158,
        "mem0": 0.778947,
        "mem0-4o": 0.836842
      },
      "cost_usd_total": 0.7003,
      "wallclock_s": 2082.32,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-019",
        "ASYM-022",
        "ASYM-028",
        "ASYM-030"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_mnemoverse_locomo_conv47_n190_k50",
      "path": "cells/cell_mnemoverse_locomo_conv47_n190_k50.json",
      "system": "mnemoverse",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6579,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.657895,
        "strict": 0.452632,
        "mem0": 0.8,
        "mem0-4o": 0.831579
      },
      "cost_usd_total": 0.3254,
      "wallclock_s": 1956.73,
      "git_sha": "73083d4",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-019",
        "ASYM-022",
        "ASYM-028",
        "ASYM-030"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv47_n190_k10",
      "path": "cells/cell_naked_cosine_locomo_conv47_n190_k10.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5421,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.542105,
        "strict": 0.405263,
        "mem0": 0.678947,
        "mem0-4o": 0.742105
      },
      "cost_usd_total": 0.1878,
      "wallclock_s": 1444.19,
      "git_sha": "19a16e4",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-014",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "exact",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.674444,
          "10": 0.733889
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0.538462,
              "10": 0.576923
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.730392,
              "10": 0.803922
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.266667,
              "10": 0.3125
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.771084,
              "10": 0.831325
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10
        ],
        "cell_native_k": 10
      },
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv47_n190_k100",
      "path": "cells/cell_naked_cosine_locomo_conv47_n190_k100.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6053,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.605263,
        "strict": 0.452632,
        "mem0": 0.805263,
        "mem0-4o": 0.852632
      },
      "cost_usd_total": 0.3739,
      "wallclock_s": 1383.08,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-014",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "exact",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.674444,
          "10": 0.733889,
          "20": 0.805,
          "50": 0.89,
          "100": 0.933889
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0.538462,
              "10": 0.576923,
              "20": 0.615385,
              "50": 0.692308,
              "100": 0.692308
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.730392,
              "10": 0.803922,
              "20": 0.803922,
              "50": 0.872549,
              "100": 0.901961
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.266667,
              "10": 0.3125,
              "20": 0.520833,
              "50": 0.741667,
              "100": 0.870833
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.771084,
              "10": 0.831325,
              "20": 0.903614,
              "50": 0.963855,
              "100": 1
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50,
          100
        ],
        "cell_native_k": 100
      },
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv47_n190_k20",
      "path": "cells/cell_naked_cosine_locomo_conv47_n190_k20.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.5789,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.578947,
        "strict": 0.405263,
        "mem0": 0.736842,
        "mem0-4o": 0.789474
      },
      "cost_usd_total": 0.2093,
      "wallclock_s": 1583.91,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-014",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "exact",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.674444,
          "10": 0.733889,
          "20": 0.805
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0.538462,
              "10": 0.576923,
              "20": 0.615385
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.730392,
              "10": 0.803922,
              "20": 0.803922
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.266667,
              "10": 0.3125,
              "20": 0.520833
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.771084,
              "10": 0.831325,
              "20": 0.903614
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20
        ],
        "cell_native_k": 20
      },
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv47_n190_k200",
      "path": "cells/cell_naked_cosine_locomo_conv47_n190_k200.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 200,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6684,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.668421,
        "strict": 0.457895,
        "mem0": 0.821053,
        "mem0-4o": 0.857895
      },
      "cost_usd_total": 0.5811,
      "wallclock_s": 1387.42,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-014",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "exact",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.674444,
          "10": 0.733889,
          "20": 0.805,
          "50": 0.89,
          "100": 0.933889,
          "200": 0.98
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0.538462,
              "10": 0.576923,
              "20": 0.615385,
              "50": 0.692308,
              "100": 0.692308,
              "200": 0.923077
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.730392,
              "10": 0.803922,
              "20": 0.803922,
              "50": 0.872549,
              "100": 0.901961,
              "200": 0.97549
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.266667,
              "10": 0.3125,
              "20": 0.520833,
              "50": 0.741667,
              "100": 0.870833,
              "200": 0.941667
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.771084,
              "10": 0.831325,
              "20": 0.903614,
              "50": 0.963855,
              "100": 1,
              "200": 1
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50,
          100,
          200
        ],
        "cell_native_k": 200
      },
      "comparative": true
    },
    {
      "cell_id": "cell_naked_cosine_locomo_conv47_n190_k50",
      "path": "cells/cell_naked_cosine_locomo_conv47_n190_k50.json",
      "system": "naked_cosine",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6316,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.631579,
        "strict": 0.442105,
        "mem0": 0.789474,
        "mem0-4o": 0.815789
      },
      "cost_usd_total": 0.271,
      "wallclock_s": 1420.82,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-014",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "exact",
      "recall_at_k": {
        "overall_recall_at_k": {
          "5": 0.674444,
          "10": 0.733889,
          "20": 0.805,
          "50": 0.89
        },
        "by_category_recall_at_k": {
          "open_domain": {
            "n": 13,
            "recall_at_k": {
              "5": 0.538462,
              "10": 0.576923,
              "20": 0.615385,
              "50": 0.692308
            }
          },
          "temporal": {
            "n": 34,
            "recall_at_k": {
              "5": 0.730392,
              "10": 0.803922,
              "20": 0.803922,
              "50": 0.872549
            }
          },
          "multi_hop": {
            "n": 20,
            "recall_at_k": {
              "5": 0.266667,
              "10": 0.3125,
              "20": 0.520833,
              "50": 0.741667
            }
          },
          "single_hop": {
            "n": 83,
            "recall_at_k": {
              "5": 0.771084,
              "10": 0.831325,
              "20": 0.903614,
              "50": 0.963855
            }
          }
        },
        "n_questions": 190,
        "n_questions_with_evidence_eval": 150,
        "n_questions_with_placeholder_retrieval": 0,
        "ks_computed": [
          5,
          10,
          20,
          50
        ],
        "cell_native_k": 50
      },
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv47_n190_k10",
      "path": "cells/cell_supermemory_locomo_conv47_n190_k10.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6316,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.631579,
        "strict": 0.378947,
        "mem0": 0.731579,
        "mem0-4o": 0.757895
      },
      "cost_usd_total": 0.1812,
      "wallclock_s": 2088.17,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-020",
        "ASYM-022",
        "ASYM-028",
        "ASYM-029"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv47_n190_k100",
      "path": "cells/cell_supermemory_locomo_conv47_n190_k100.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 100,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.7211,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.721053,
        "strict": 0.489474,
        "mem0": 0.794737,
        "mem0-4o": 0.8
      },
      "cost_usd_total": 0.3198,
      "wallclock_s": 2158.37,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-020",
        "ASYM-022",
        "ASYM-028",
        "ASYM-029"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv47_n190_k20",
      "path": "cells/cell_supermemory_locomo_conv47_n190_k20.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.6895,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.689474,
        "strict": 0.415789,
        "mem0": 0.747368,
        "mem0-4o": 0.768421
      },
      "cost_usd_total": 0.1954,
      "wallclock_s": 1788.1,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-020",
        "ASYM-022",
        "ASYM-028",
        "ASYM-029"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_supermemory_locomo_conv47_n190_k50",
      "path": "cells/cell_supermemory_locomo_conv47_n190_k50.json",
      "system": "supermemory",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.7053,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.705263,
        "strict": 0.436842,
        "mem0": 0.784211,
        "mem0-4o": 0.794737
      },
      "cost_usd_total": 0.2405,
      "wallclock_s": 1753.42,
      "git_sha": "844522a",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-020",
        "ASYM-022",
        "ASYM-028",
        "ASYM-029"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv47_n190_k10",
      "path": "cells/cell_zep_locomo_conv47_n190_k10.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 10,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.0895,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.089474,
        "strict": 0.068421,
        "mem0": 0.121053,
        "mem0-4o": 0.142105
      },
      "cost_usd_total": 0.1716,
      "wallclock_s": 1322.58,
      "git_sha": "6c8cd98",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv47_n190_k20",
      "path": "cells/cell_zep_locomo_conv47_n190_k20.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 20,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.1579,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.157895,
        "strict": 0.1,
        "mem0": 0.231579,
        "mem0-4o": 0.242105
      },
      "cost_usd_total": 0.1788,
      "wallclock_s": 1430.35,
      "git_sha": "44ddb9f",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    },
    {
      "cell_id": "cell_zep_locomo_conv47_n190_k50",
      "path": "cells/cell_zep_locomo_conv47_n190_k50.json",
      "system": "zep",
      "benchmark": "locomo",
      "benchmark_scope": "conv47_n190",
      "benchmark_scope_n": 190,
      "role": "headline",
      "k": 50,
      "reader_model": "gpt-5-mini",
      "primary_judge": "mnemoverse",
      "headline_metric": 0.2316,
      "judge_accuracy_by_judge": {
        "mnemoverse": 0.231579,
        "strict": 0.152632,
        "mem0": 0.326316,
        "mem0-4o": 0.357895
      },
      "cost_usd_total": 0.1972,
      "wallclock_s": 1737.36,
      "git_sha": "44ddb9f",
      "eval_path": "symmetric_v1",
      "known_asymmetries": [
        "ASYM-011",
        "ASYM-013",
        "ASYM-014",
        "ASYM-016",
        "ASYM-022",
        "ASYM-028"
      ],
      "asymmetry_inventory_url": "https://graph.mnemoverse.com/benchmarks/methodology/asymmetric-v1",
      "tags": [
        "matrix-v2-conv47-2026-06-11"
      ],
      "recall_provenance": "n_a",
      "recall_at_k": null,
      "comparative": true
    }
  ],
  "system_labels": {
    "mem0_v3_cloud": "Mem0",
    "mnemoverse": "Mnemoverse",
    "mnemoverse_engine": "Mnemoverse",
    "mnemoverse_http": "Mnemoverse",
    "naked_cosine": "Naked cosine (floor)",
    "supermemory": "Supermemory",
    "zep": "Zep"
  },
  "quarantine": {
    "render_contract": "Render as 'not measurable' cards per docs/RENDER_CONTRACT.md rule 1; never as zeros, never ranked. Superseded entries are NOT rendered at all — the good re-run (superseded_by_git_sha) is the live cell; this entry only stops a basename-keyed gate from excluding it.",
    "n_entries": 9,
    "excluded_cell_ids": []
  }
}