{
  "format": "tensor-archive-public-metric-record",
  "version": 1,
  "published_claims": {
    "deployment_savings_percent": 71.2,
    "model_family_vs_gear_cdc_percent": 69.4,
    "model_family_vs_xet_core_local_percent": 71.7,
    "model_family_vs_zipllm_audited_closure_percent": 43.5,
    "model_family_vs_zipllm_peak_pack_memory_percent": 96.6,
    "zipllm_to_tensor_archive_peak_pack_memory_ratio": 29.08,
    "largest_validated_physical_model_gb": 31.71,
    "largest_observed_peak_rss_mib": 158.3,
    "sequential_training_vs_gear_cdc_percent": 34.3,
    "restore": "byte-exact"
  },
  "deployment_result": {
    "name": "smollm2-135m-four-public-loras",
    "artifacts": 5,
    "physical_bytes": {
      "self_contained_deployments": 907323227,
      "tensor_archive": 261585735,
      "gear_cdc": 261656335
    },
    "savings_percent": {
      "tensor_archive_vs_self_contained": 71.16950969447628,
      "tensor_archive_vs_gear_cdc": 0.02698195707740078
    },
    "public_protocol_sha256": "c3ad4d99ffd397c6670667640ba2ddc38e2085e0dff1556951d26cc90ae4e367",
    "receipt_sha256": "8fc9b71a07570ee7dfe7842f6ed8405417e06fe66bcc374d6837616d1ddb87d0"
  },
  "sequential_training": {
    "name": "smollm2-135m-sequential-training",
    "checkpoint_count": 5,
    "files": 50,
    "dtype": "bfloat16",
    "source_bytes": 4059928053,
    "gear_cdc_bytes": 2810466584,
    "tensor_archive_bytes": 1845964558,
    "saved_vs_gear_cdc_bytes": 964502026,
    "saved_vs_gear_cdc_percent": 34.31821717756456,
    "replay_restore_ratio_vs_exact_fixed": 0.9507465293328505,
    "restoration": {
      "byte_exact": true
    },
    "semantic_protocol_sha256": "597e742978f65da6913cfa42fd014b7763df55e89662693b93f4735bcd337a8e",
    "receipt_sha256": "5ba76594c4d68b492f0c730f4f2502ce842fb5764a59c9e9b90ac586d30a7e62"
  },
  "competitive_landscape": {
    "direct_ranking": false,
    "warning": "Different workloads and baselines; published figures are not directly comparable.",
    "reported_results": [
      {
        "system": "PyTorch DCP + zstd",
        "reported_reduction_percent": 22,
        "baseline": "uncompressed DCP checkpoints",
        "workload": "Granite-3B and Granite-8B distributed checkpoints",
        "source": "https://pytorch.org/blog/reducing-storage-footprint-and-bandwidth-usage-for-distributed-checkpoints-with-pytorch-dcp/"
      },
      {
        "system": "FM-Delta",
        "reported_reduction_percent": 50,
        "baseline": "separately stored fine-tuned foundation models",
        "workload": "up to 100 fine-tuned models",
        "source": "https://proceedings.neurips.cc/paper_files/paper/2024/hash/7b75a7339dfb256ee4b4bec028a6890b-Abstract-Conference.html"
      },
      {
        "system": "ZipLLM",
        "reported_reduction_percent": 54,
        "baseline": "storage approaches evaluated by the authors",
        "workload": "public Hugging Face LLM repositories",
        "source": "https://www.usenix.org/conference/nsdi26/presentation/wang-zirui"
      }
    ],
    "unscored_systems": [
      {
        "system": "Xet",
        "reason": "No single universal storage-reduction percentage is published for a common workload.",
        "source": "https://huggingface.co/docs/hub/xet/deduplication"
      },
      {
        "system": "Git-Theta",
        "reason": "The paper reports workload-specific versioning results rather than one common reduction percentage.",
        "source": "https://proceedings.mlr.press/v202/kandpal23b.html"
      }
    ]
  },
  "direct_benchmark": {
    "name": "TA-Bench v1",
    "same_source_bytes": true,
    "model_family": {
      "tensor_archive_bytes": 330603375,
      "gear_cdc_bytes": 1079749017,
      "xet_core_local_reference_cas_bytes": 1167753013,
      "zipllm_audited_restore_closure_bytes": 585350329,
      "tensor_archive_savings_vs_gear_cdc_percent": 69.3814608955555,
      "tensor_archive_savings_vs_xet_core_local_percent": 71.6889298233821,
      "tensor_archive_savings_vs_zipllm_closure_percent": 43.520425526232176,
      "pack_memory_comparison": {
        "scope": "same TA-Bench v1 corpus and packaging phase",
        "tensor_archive_peak_rss_bytes": 52359168,
        "zipllm_peak_rss_bytes": 1522827264,
        "zipllm_to_tensor_archive_ratio": 29.084252522881954,
        "tensor_archive_less_peak_memory_percent": 96.56171325285649
      },
      "provisional_weissman_score_vs_gear_cdc": {
        "score": 4.352142266138535,
        "reference_score": 1.0,
        "alpha": 1,
        "time_unit": "seconds",
        "tensor_archive_pack_seconds": 33.019086198008154,
        "gear_cdc_pack_seconds": 105.64505466999253,
        "timing_runs_per_system": 1
      },
      "file_roundtrip_exact": true
    },
    "training_checkpoints": {
      "tensor_archive_bytes": 1845964557,
      "tar_zstd_bytes": 2757589861,
      "gear_cdc_bytes": 2810466581,
      "file_roundtrip_exact": true
    }
  },
  "memory_scale_validation": {
    "generated_at": "2026-07-27",
    "scope": "generic safetensors pack, verify and byte-exact restore",
    "memory_limit_bytes_per_phase": 1073741824,
    "swap_limit_bytes_per_phase": 0,
    "runs": [
      {
        "physical_model_bytes": 9432734064,
        "pack_peak_rss_bytes": 65040384,
        "verify_peak_rss_bytes": 133087232,
        "restore_peak_rss_bytes": 133349376,
        "byte_exact": true
      },
      {
        "physical_model_bytes": 15963273605,
        "pack_peak_rss_bytes": 83648512,
        "verify_peak_rss_bytes": 145846272,
        "restore_peak_rss_bytes": 146808832,
        "byte_exact": true
      },
      {
        "physical_model_bytes": 31706011312,
        "pack_peak_rss_bytes": 106774528,
        "verify_peak_rss_bytes": 163037184,
        "restore_peak_rss_bytes": 166002688,
        "byte_exact": true
      }
    ],
    "largest_observed_peak_rss_bytes": 166002688,
    "all_phases_below_memory_limit": true,
    "all_phases_zero_swap": true,
    "all_restores_byte_exact": true,
    "source_summary_sha256": "37531a9e1de629dde05a77db5d9f51399360116cd4a9b15d4d667dff361c45b7",
    "receipt_manifest_sha256": "9636b7a63373ceed121752201833b64c9bb976e4e3199a488fa93a5203de5328"
  },
  "limitations": [
    "These are controlled SmolLM2-135M workloads, not customer production data.",
    "The 71.2% claim compares self-contained deployments and is not a comparison with Xet, ZipLLM or CDC.",
    "The 71.7% xet-core comparison uses its official local reference CAS, not Hugging Face's hosted multi-tenant object store.",
    "On the adapter-family workload, Tensor Archive saved 0.027% versus normalized Gear CDC.",
    "The 69.4% model-only and 34.3% full-state results are the current technical product signals and require independent external reproduction.",
    "The 29.08x peak packaging memory comparison applies only to the same-corpus TA-Bench v1 measurements and not to the 31.71 GB scale run.",
    "The 31.71 GB validation proves bounded memory for the tested generic safetensors path, not every model architecture or specialized path."
  ],
  "disclosure": {
    "algorithm_source_included": false,
    "encoder_source_included": false,
    "private_dictionary_included": false,
    "public_evidence_only": true
  }
}