mirrored listing x402 eip155:8453

Last 30 days of arXiv preprints flagged as milestone candidates by an offline Qwen 3

Last 30 days of arXiv preprints flagged as milestone candidates by an offline Qwen 3.6 27B per-paper extraction pass. Each paper carries structured reasoning naming the benchmark + quantified delta, model release, or novel architecture justification. Conservative; false positives are worse than false negatives.

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20000 (raw units)
price
2
calls / 30d
2
unique payers
2026-05-25
updated

Provider

tensorfeed.ai · discovered, not yet claimed by its owner

Payment (x402 accepts[])

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Output schema

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            "credits_remaining": 49
          },
          "capturedAt": "2026-05-23T06:00:00Z",
          "ok": true,
          "papers": [
            {
              "arxiv_id": "2505.12345",
              "arxiv_url": "https://arxiv.org/abs/2505.12345",
              "category": "benchmark_delta",
              "is_milestone_candidate": true,
              "published_at": "2026-05-14",
              "reasoning": "Reports 84.7% on AIME 2024 (prior SOTA 63.1%), +21.6pp absolute. Names a new MoE-of-Experts routing scheme; reproducible config.",
              "title": "A Reasoning Model That Wins Math Olympiad Gold"
            }
          ],
          "window_days": 30
        },
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                  "type": "integer"
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                  "type": "integer"
                }
              },
              "type": "object"
            },
            "capturedAt": {
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              "type": "string"
            },
            "ok": {
              "type": "boolean"
            },
            "papers": {
              "items": {
                "properties": {
                  "arxiv_id": {
                    "example": "2505.12345",
                    "type": "string"
                  },
                  "arxiv_url": {
                    "example": "https://arxiv.org/abs/2505.12345",
                    "type": "string"
                  },
                  "category": {
                    "example": "benchmark_delta",
                    "type": "string"
                  },
                  "is_milestone_candidate": {
                    "type": "boolean"
                  },
                  "published_at": {
                    "example": "2026-05-14",
                    "type": "string"
                  },
                  "reasoning": {
                    "example": "Reports 84.7% on AIME 2024 (prior SOTA 63.1%), +21.6pp absolute. Names a new MoE-of-Experts routing scheme; reproducible config.",
                    "type": "string"
                  },
                  "title": {
                    "example": "A Reasoning Model That Wins Math Olympiad Gold",
                    "type": "string"
                  }
                },
                "type": "object"
              },
              "type": "array"
            },
            "window_days": {
              "example": 30,
              "type": "integer"
            }
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          "type": "object"
        },
        "type": "json"
      }
    },
    "schema": {
      "properties": {
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          "type": "object"
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      },
      "required": [
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      "type": "object"
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}

Use it

curl

curl "https://tensorfeed.ai/api/premium/research/milestones"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://tensorfeed.ai/api/premium/research/milestones");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://tensorfeed.ai/api/premium/research/milestones")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Machine-readable

Everything on this page is also available as clean JSON at /resources/4189.json, and this resource appears in /discovery/resources and /discovery/search.