{"schema_version":"papers/paper-detail-v1","title":"NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information","surface":"papers","opportunity_kernel":{"paper_id":"fe58e69b-3672-454f-a5a9-b8f22f3b177d","title":"NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information","authors":["Qing Qing","Huafei Huang","Mingliang Hou","Renqiang Luo","Mohsen Guizani"],"arxiv_id":"2603.28300v1","doi":null,"published_at":"2026-03-30T11:26:56.000Z","score_object":{"overall":{"value":7,"scale":"0-10","confidence":0.85,"confidence_reason":"Backfilled from persisted papers.viability_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T02:30:40.136Z","fresh_until":"2026-05-02T02:30:40.136Z","is_stale":true,"source_count":1,"missingness":[]},"technical":{"value":0,"scale":"0-10","confidence":0.55,"confidence_reason":"Backfilled from paper_extraction_scorecards.reconstruction_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-03-31T20:30:23.097Z","fresh_until":"2026-04-14T20:30:23.097Z","is_stale":true,"source_count":1,"missingness":[]},"commercial":{"value":5,"scale":"0-10","confidence":0.75,"confidence_reason":"Backfilled from persisted commercial_flags and repo availability.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T02:30:40.136Z","fresh_until":"2026-05-02T02:30:40.136Z","is_stale":true,"source_count":2,"missingness":[]},"market":{"value":0,"scale":"0-10","confidence":0.15,"confidence_reason":"No persisted distribution_readiness_scores row was available; marked low confidence.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T02:30:40.136Z","fresh_until":"2026-04-16T02:30:40.136Z","is_stale":true,"source_count":0,"missingness":["distribution_readiness_scores.score"]},"team":{"value":10,"scale":"0-10","confidence":0.15,"confidence_reason":"No persisted team-quality evidence was available; marked low confidence.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T02:30:40.136Z","fresh_until":"2026-04-16T02:30:40.136Z","is_stale":true,"source_count":0,"missingness":["engineer_profiles.builder_score","author_startups"]},"methodology":{"value":3.3,"scale":"0-10","confidence":0.82,"confidence_reason":"Backfilled from paper_extraction_scorecards.total_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-03-31T20:53:21.085Z","fresh_until":"2026-04-30T20:53:21.085Z","is_stale":true,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"stale","proof_status":"unverified","repo_status":"active","references_count":20,"source_count":4,"coverage":0.8333,"missingness":["distribution_readiness_scores"],"unresolved_unknowns":["distribution readiness has not been computed yet"],"last_verification_at":"2026-03-31T20:30:23.097Z"},"lineage_hash":"250acc51d0c9a8a87aed6073acc614c700f1da97e095e2912fc0ff367aa3b9f0"},"distribution":null,"replication_evidence":[],"author_dna":[]}