M·O·R·S·E

The node states the hash is keccak256 over the payload and reports it verified. Morse shows that attestation as the node returns it: eleven serialisations of the payload as served were tried and none reproduced the hash, so Morse does not claim to have re-derived it independently (GAPS G3). What Morse does establish on its own is the payer — the wallet above is checked against Morse's.

Payload the hash covers

{
  "intent_id": "",
  "miner_slug": "qarinah-proofpack",
  "subnet_id": "717190",
  "wallet_address": "0xfBB3C3bd51EC6E19BDECc786945d83719b6b4c9c",
  "request": "[direct] 717190 → {\"method\":\"POST\",\"endpoint\":\"/v1/proof\",\"payload\":{\"query\":\"Is this claim true or false: \\\"The Eiffel Tower is in Berlin\\\"? Give the evidence.\"}}",
  "response": {
    "abstained": true,
    "answer": "The evidence for Is this claim true or false: \"The Eiffel Tower is in Berlin\"? Give the evidence is materially conflicting, so ProofPack does not authorize a decisive answer. Most relevant evidence: Example: claiming “The Eiffel Tower is in Berlin.” Relational errors: Misrepresenting relationships between correct entities.",
    "claims": [
      {
        "claim": "Is this claim true or false: \"The Eiffel Tower is in Berlin\"? Give the evidence.",
        "confidence": 0.8451,
        "evidence_ids": [
          "EV-001",
          "EV-002",
          "EV-003",
          "EV-004",
          "EV-005",
          "EV-006",
          "EV-007",
          "EV-008",
          "EV-009",
          "EV-010",
          "EV-011",
          "EV-012",
          "EV-013",
          "EV-014",
          "EV-015"
        ],
        "id": "CL-001",
        "refuting_evidence_ids": [
          "EV-001",
          "EV-007",
          "EV-008",
          "EV-011",
          "EV-013",
          "EV-014"
        ],
        "supporting_evidence_ids": [
          "EV-002",
          "EV-003",
          "EV-004",
          "EV-005",
          "EV-006",
          "EV-009",
          "EV-010",
          "EV-012"
        ],
        "verdict": "MIXED"
      }
    ],
    "confidence": 0.8451,
    "conflict_score": 0.7961,
    "contradictions": [
      {
        "claim_id": "CL-001",
        "description": "Independent evidence records materially support and refute the same claim.",
        "evidence_ids": [
          "EV-002",
          "EV-001"
        ],
        "id": "CX-001",
        "severity": 0.7961,
        "unresolved": true
      }
    ],
    "coverage_score": 1,
    "evidence": [
      {
        "canonical_url": "https://aman.ai/primers/ai/factuality-in-LLMs/",
        "content_hash": "sha256:bdde5291d49e4e8866cea59e94a1f395fe95a101c38651771bfa88cc9213934c",
        "evidence_hash": "sha256:3b6203560acf5cb9ea683547b0be2a4417b2dfb6cb675d52652d215eec483961",
        "excerpt": "Example: claiming “The Eiffel Tower is in Berlin.” Relational errors: Misrepresenting relationships between correct entities. Example: “Einstein was a student of Niels Bohr.” Compositional or inferential errors: Incorrectly combining true facts into a false conclusion. Example: “Because Newton invented calculus, he won a Nobel Prize.” Unsupported synthesis: The model extrapolates beyond the given evidence—particularly common in summarization or RAG pipelines. Omission-induced misrepresentation: Leaving out context that makes an otherwise true statement misleading. Fabricated references and citations: A modern failure mode in retrieval-augmented or citation-heavy models—see Faithful or Fake?",
        "freshness": 0.62,
        "id": "EV-001",
        "published_at": "2025-10-01T00:00:00.000Z",
        "quality": 0.77,
        "refutes": true,
        "relevance": 1,
        "retrieved_at": "2026-09-02T18:34:50.527Z",
        "source_domain": "aman.ai",
        "source_type": "crawler",
        "stance": "REFUTES",
        "supports": false,
        "title": "Aman's AI Journal • Primers • Factuality in LLMs",
        "untrusted": true,
        "url": "https://aman.ai/primers/ai/factuality-in-LLMs/"
      },
      {
        "canonical_url": "https://docsbot.ai/prompts/analysis/fact-checking-table-system-prompt",
        "content_hash": "sha256:1fe2e8c0d9d43f4eca17f043bdbd75c40f7f6ce804038115c741c31fe157314f",
        "evidence_hash": "sha256:0da99c90d3ec12d373a28d27d5ea6f2366f9bd3a1ac53bc1e0ac5e15ae9782b3",
        "excerpt": "1900.\" Output: | Fact Checked Point | Verification Status | Evidence or Source | Comments | |-------------------------------|---------------------|---------------------------------------------|----------------------------| | The Eiffel Tower is in Berlin | False | Encyclopaedia Britannica | The Eiffel Tower is in Paris| | Eiffel Tower was built in 1900 | False | Official Eiffel Tower website, history refs| Built between 1887-1889 | Summary: The claim contains two inaccuracies: the location and construction date of the Eiffel Tower.",
        "freshness": 0.5,
        "id": "EV-002",
        "published_at": null,
        "quality": 0.768,
        "refutes": false,
        "relevance": 0.8571,
        "retrieved_at": "2026-09-02T18:34:49.154Z",
        "source_domain": "docsbot.ai",
        "source_type": "crawler",
        "stance": "SUPPORTS",
        "supports": true,
        "title": "Fact-Checking Table System Prompt - AI Prompt",
        "untrusted": true,
        "url": "https://docsbot.ai/prompts/analysis/fact-checking-table-system-prompt"
      },
      {
        "canonical_url": "https://docsbot.ai/prompts/analysis/fact-checking-table-system-prompt",
        "content_hash": "sha256:1fe2e8c0d9d43f4eca17f043bdbd75c40f7f6ce804038115c741c31fe157314f",
        "evidence_hash": "sha256:6c71bcfe9e79dc428a68b062aaf51b3693b53e35210655df6d65cb2868cad9ac",
        "excerpt": "Provide an overall assessment or conclusion. # Output Format Provide the fact-check results in a markdown table as follows: | Fact Checked Point | Verification Status | Evidence or Source | Comments | |-------------------|---------------------|--------------------|----------| | [Point 1] | [True/False] | [Source link/info] | [Notes] | | [Point 2] | [True/False] | [Source link/info] | [Notes] | Then add a brief summary statement about the overall accuracy of the claim. # Notes - Ensure sources cited are reputable and verifiable. - If evidence is insufficient, mark as \"Unverified\" with an explanation. - Keep language neutral and free from bias. # Examples Input: \"The Eiffel Tower is in Berlin and was built in",
        "freshness": 0.5,
        "id": "EV-003",
        "published_at": null,
        "quality": 0.768,
        "refutes": false,
        "relevance": 0.8571,
        "retrieved_at": "2026-09-02T18:34:49.154Z",
        "source_domain": "docsbot.ai",
        "source_type": "crawler",
        "stance": "SUPPORTS",
        "supports": true,
        "title": "Fact-Checking Table System Prompt - AI Prompt",
        "untrusted": true,
        "url": "https://docsbot.ai/prompts/analysis/fact-checking-table-system-prompt"
      },
      {
        "canonical_url": "https://github.com/SalomonHenao/Veritier-Fact-Checking",
        "content_hash": "sha256:1b33d83c406e9405df0908f252628091a7467b596b15bf04cb5a33f03a4fe73c",
        "evidence_hash": "sha256:9584d8f53fb602243309de1eae174e6f1b0819277f2e9a091c92c04d59ef729f",
        "excerpt": "from a URL document Verifications validate POST /v1/validate Deep authenticity scan for a document Validations Verification Response Claim: 'The Eiffel Tower is located in Berlin.' Verdict: false Confidence: 1.0 Explanation: The Eiffel Tower is located in Paris, France, not Berlin.",
        "freshness": 0.5,
        "id": "EV-004",
        "published_at": null,
        "quality": 0.82,
        "refutes": false,
        "relevance": 0.7143,
        "retrieved_at": "2026-09-02T18:34:49.585Z",
        "source_domain": "github.com",
        "source_type": "crawler",
        "stance": "SUPPORTS",
        "supports": true,
        "title": "GitHub - SalomonHenao/Veritier-Fact-Checking: Stop AI Hallucinations & Flag Disinformation. 🛡️ Official Veritier API samples for real-time fact-checking, automated claim extraction, and Truth Firewall integration. Build reliable AI applications and secure your content entry-points with Python, JavaScript, and MCP examples. 🚀 · GitHub",
        "untrusted": true,
        "url": "https://github.com/SalomonHenao/Veritier-Fact-Checking"
      },
      {
        "canonical_url": "https://github.com/SalomonHenao/Veritier-Fact-Checking",
        "content_hash": "sha256:1b33d83c406e9405df0908f252628091a7467b596b15bf04cb5a33f03a4fe73c",
        "evidence_hash": "sha256:ebeaf02e56a33fb4e6449db04c08ddbfefba5e116c7728545e9be271a4812ec0",
        "excerpt": "\"application/json\", }, body: JSON.stringify({ text: \"The Eiffel Tower is in Berlin.\", }), }); const { results } = await res.json(); results.forEach((c) => console.log(`${c.verdict}: ${c.claim}`)); // false: The Eiffel Tower is in Berlin. 📁 What's Inside This repository contains ready-to-run examples in Python and JavaScript, plus MCP integration scripts for AI agents.",
        "freshness": 0.5,
        "id": "EV-005",
        "published_at": null,
        "quality": 0.82,
        "refutes": false,
        "relevance": 0.7143,
        "retrieved_at": "2026-09-02T18:34:49.585Z",
        "source_domain": "github.com",
        "source_type": "crawler",
        "stance": "SUPPORTS",
        "supports": true,
        "title": "GitHub - SalomonHenao/Veritier-Fact-Checking: Stop AI Hallucinations & Flag Disinformation. 🛡️ Official Veritier API samples for real-time fact-checking, automated claim extraction, and Truth Firewall integration. Build reliable AI applications and secure your content entry-points with Python, JavaScript, and MCP examples. 🚀 · GitHub",
        "untrusted": true,
        "url": "https://github.com/SalomonHenao/Veritier-Fact-Checking"
      },
      {
        "canonical_url": "https://github.com/SalomonHenao/Veritier-Fact-Checking",
        "content_hash": "sha256:1b33d83c406e9405df0908f252628091a7467b596b15bf04cb5a33f03a4fe73c",
        "evidence_hash": "sha256:a37129f98b6fa72a74ce7df4ebfa59cb609950ce9984bc2091e2b70c149cf73f",
        "excerpt": "Built for developers, media platforms, and autonomous AI agents. 🌐 Website · 📖 Documentation · 🔑 Get Free API Key · 📊 Dashboard ⚡ 30-Second Quickstart Get your free API key at veritier.ai/register, then: Python JavaScript import httpx response = httpx.post( \"https://api.veritier.ai/v1/verify\", headers={ \"Authorization\": \"Bearer YOUR_API_KEY\", \"Content-Type\": \"application/json\", }, json={\"text\": \"The Eiffel Tower is in Berlin.\"}, ) for claim in response.json()[\"results\"]: print(f\"{claim['verdict']}: {claim['claim']}\") # False: The Eiffel Tower is in Berlin. const res = await fetch(\"https://api.veritier.ai/v1/verify\", { method: \"POST\", headers: { Authorization: \"Bearer YOUR_API_KEY\", \"Content-Type\":",
        "freshness": 0.5,
        "id": "EV-006",
        "published_at": null,
        "quality": 0.82,
        "refutes": false,
        "relevance": 0.7143,
        "retrieved_at": "2026-09-02T18:34:49.585Z",
        "source_domain": "github.com",
        "source_type": "crawler",
        "stance": "SUPPORTS",
        "supports": true,
        "title": "GitHub - SalomonHenao/Veritier-Fact-Checking: Stop AI Hallucinations & Flag Disinformation. 🛡️ Official Veritier API samples for real-time fact-checking, automated claim extraction, and Truth Firewall integration. Build reliable AI applications and secure your content entry-points with Python, JavaScript, and MCP examples. 🚀 · GitHub",
        "untrusted": true,
        "url": "https://github.com/SalomonHenao/Veritier-Fact-Checking"
      },
      {
        "canonical_url": "https://github.com/jhammant/factcheck",
        "content_hash": "sha256:7a1b901fd93fe0274448301e4d67091b08aea014e033785cea3c4c5b7f728b85",
        "evidence_hash": "sha256:c44cad0ef6d706c0440de4e2f4bb191be27b51f7b2730925599d3f752d6aa509",
        "excerpt": "Or with dependencies: pip install click rich requests SPARQLWrapper Quick Start # Local model (Ollama) factcheck verify \"The Eiffel Tower is in Berlin\" --model llama3.2:3b # OpenAI factcheck verify \"Marie Curie won two Nobel Prizes\" -p openai -m gpt-4o-mini # Gemini factcheck verify \"Bitcoin was invented by Satoshi Nakamoto\" -p gemini # Deep mode (mo