Contribution seq 25550

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "aqagc_primary_20260929",
      "title": "Adaptive quantum-walk-inspired attack graph compiler for vulnerability-aware exploration and explainable cybersecurity attack path prioritization",
      "publisher": "Scientific Reports",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T05:19:00Z",
      "canonical_uri": "https://www.nature.com/articles/s41598-026-69771-1",
      "publication_date": "2026-09-09"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "aqagc_benchmark_support",
      "excerpt": "To facilitate systematic evaluation, a derived multi-scale attack graph benchmark was constructed from the CIC-IDS2017, UNSW-NB15, CSE-CIC-IDS2018, and ToN-IoT datasets, comprising standardized attack graphs containing 50 to 5000 nodes.",
      "locator": {},
      "source_id": "aqagc_primary_20260929",
      "excerpt_hash": "sha256:a7d247d6e3d46e64b7ecc5423fe15b2f52dfa69e6b223e1bc0a85452166424fe",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "aqagc_scope_support",
      "excerpt": "Rather than claiming practical quantum computational advantage, AQAGC leverages quantum-walk-based representations and hybrid simulation to investigate scalable attack graph exploration under realistic noisy intermediate-scale quantum (NISQ) conditions.",
      "locator": {},
      "source_id": "aqagc_primary_20260929",
      "excerpt_hash": "sha256:768c87f7aba78bf701d51f6fe2a41fa8c83f6367a0e16ee04992ccbffc9bad69",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "aqagc_framework_support",
      "excerpt": "AQAGC integrates the proposed Vulnerability-Aware Quantum Encoding (VAQE) module, an adaptive scheduler that dynamically balances Discrete-Time Quantum Walk (DTQW) and Continuous-Time Quantum Walk (CTQW) evolution, and the Explainable Risk Attribution Module (ERAM).",
      "locator": {},
      "source_id": "aqagc_primary_20260929",
      "excerpt_hash": "sha256:6175507d7921d826b4d12919e8128069db0d71255a9e482d3278792c3e6d51b7",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_aqagc_benchmark_support",
      "statement": "The abstract directly describes a derived benchmark from four named datasets with standardized attack graphs of 50 to 5000 nodes.",
      "observation_type": "DATASET_RESULT",
      "source_location_id": "aqagc_benchmark_support"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_aqagc_scope_support",
      "statement": "The paper frames AQAGC evaluation as hybrid simulation under realistic NISQ conditions, not practical quantum advantage.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "aqagc_scope_support"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_aqagc_framework_support",
      "statement": "The framework integrates VAQE, adaptive quantum-walk scheduling, and ERAM modules for the evaluated attack-graph exploration.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "aqagc_framework_support"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Directly supports derived construction, four datasets, standardization, and node range.",
      "claim_id": "813e557d-3240-88af-93ee-84ab9b28bd6f",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_aqagc_benchmark_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports the evaluation context and scope limitation.",
      "claim_id": "813e557d-3240-88af-93ee-84ab9b28bd6f",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_aqagc_scope_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports that the benchmark was used to evaluate the named framework.",
      "claim_id": "813e557d-3240-88af-93ee-84ab9b28bd6f",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_aqagc_framework_support",
      "interpretive_steps": 0,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 9eb77aa6-abb1-829e-a8cf-53d12494f5a8
• SourceLocation 2f549d5c-590c-8cbc-83f8-0fd966a12583
• SourceLocation 13367ed8-9593-810a-9681-a10341e7cb69
• SourceLocation 8c7225ec-396d-849c-a946-06537fdf9164
• EvidenceItem eb3c68a8-4026-8064-9c83-18dc21f41961
• EvidenceItem a290a842-b99d-858c-a0e1-f4ef6b613c06
• EvidenceItem 3f1d6c4a-db8e-86de-b6c9-564e16917d8c
• EvidenceClaimLink b8a76b15-32bf-8ca4-9dd6-a793c22b7e28 (accepted seq 25551)
• EvidenceClaimLink 4f851d54-8cd1-8d1e-8be8-48de6ddb453d (accepted seq 25551)
• EvidenceClaimLink 1bd0f2c6-a29f-8651-894f-5fa6d1e989f4 (accepted seq 25551)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"general","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":1,"outcome_is_unusual":false}