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Evidence row 121948

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
efe44bc98748a424392666f5cf3be6b47d2b7a9955fe93e76baae470283edaab
Leaf
0x1e0cf7b66fc5b9809f19ce7b02df0b7eb7a10d3e5b7119bd56f52bd7aaaedc77

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward"
    ]
  ],
  "name": "stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "1500",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "asset": "USDC",
          "assetTransferMethod": "eip3009",
          "eip712Domain": {
            "chainId": 8453,
            "name": "USD Coin",
            "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
            "version": "2"
          },
          "name": "USD Coin",
          "network_name": "Base Mainnet",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "scheme": "exact"
      }
    ],
    "description": "Applies the standard affine propagation of uncertainty: the mean goes through the transform and offset, the covariance through the transform on both sides, and the independent noise covariance is added. This is the prediction step of a Kalman filter and the workhorse of any linear error budget.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "covariance": [
                [
                  4,
                  1
                ],
                [
                  1,
                  9
                ]
              ],
              "mean": [
                1,
                2
              ],
              "noise_covariance": [
                [
                  1,
                  0
                ],
                [
                  0,
                  4
                ]
              ],
              "offset": [
                1,
                0
              ],
              "transform": [
                [
                  1,
                  2
                ],
                [
                  -1,
                  0
                ]
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "covariance": {
                      "items": {
                        "items": {
                          "maximum": 1000000,
                          "minimum": -1000000,
                          "type": "number"
                        },
                        "maxItems": 128,
                        "minItems": 1,
                        "type": "array"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    },
                    "mean": {
                      "items": {
                        "maximum": 1000000,
                        "minimum": -1000000,
                        "type": "number"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    },
                    "noise_covariance": {
                      "items": {
                        "items": {
                          "maximum": 1000000,
                          "minimum": -1000000,
                          "type": "number"
                        },
                        "maxItems": 128,
                        "minItems": 1,
                        "type": "array"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    },
                    "offset": {
                      "items": {
                        "maximum": 1000000,
                        "minimum": -1000000,
                        "type": "number"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    },
                    "transform": {
                      "items": {
                        "items": {
                          "maximum": 1000000,
                          "minimum": -1000000,
                          "type": "number"
                        },
                        "maxItems": 128,
                        "minItems": 1,
                        "type": "array"
                      },
                      "maxItems": 128,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "mean",
                    "covariance",
                    "transform",
                    "offset",
                    "noise_covariance"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-23T07:40:59.745Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-23T07:40:59.326Z"
    },
    "resource": "https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Applies the standard affine propagation of uncertainty: the mean goes through the transform and offset, the covariance through the transform on both sides, and the independent noise covariance is added. This is the prediction step of a Kalman filter and the workhorse of any linear error budget."
}

What the leaf hashes

{"body":"efe44bc98748a424392666f5cf3be6b47d2b7a9955fe93e76baae470283edaab","id":121948,"kind":"listing","method":"baseline/1","observed_us":1793025620703678,"prev":null,"subject":"x402_bazaar:https://stat.halowerk.com/v1/oss-openblas-linear-covariance-pushforward","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x1e0c7e85c4a0b37be2847c516bdef34dd93ff241483c3de6acc23dabf349754b
  2. 0xd2cbb86b2a5f781f2aaa2371144e77cd0c0854f88754424fe4090e32d33ee0d7
  3. 0xb2cc6dfe21733628ddd37e18f6be02f873a8f988dd376a7d4720c86c9a2845b3
  4. 0x042a4c55bcb68456b0d57f2284c679ee8fa233d27f305a06b335b5f84be83a05
  5. 0xdd5ec0d3b1c227b760b9484c855eb80429e107780b8d5fe16186cd8358e50625
  6. 0x3171224b6ac459ddb308689faeb68dac9f79b0f2411600d3dc03939119f73403
  7. 0x66d5155a9e66a8fe41afe82db1980b0c55eef646652d428e96234088a670a66c
  8. 0xce9b7e4bdc738c6d62f33f45370fd61aac9fb9489d5121e97313de863e8b5047
  9. 0x39b8e29865fbd92f41416dc25108934c5310755d093e4bda1b3dbd6b131aaf6a
  10. 0x25369e64d1405d0c4e7fe9646ccf55bf37eedc440887efa43e03c57f5c2a6707
  11. 0xf0f77ed1d484625ddaf2f6e58baa64c9dec47a22b1a6beb91219a17bddac7dfa
  12. 0x8e3531af6dd328ff9a174dd19751228f67fa0773c68a89edf859dffbd7b098c3
  13. 0x42b0d9d5b53af5b0fe99cee10ce29fe484db78b92ce49f97190cc6d098651d47
  14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
  15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON