{"schema_version":"papers/paper-detail-v1","title":"AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework","surface":"papers","opportunity_kernel":{"paper_id":"86b68871-bc58-4f3d-87ad-84dad3c4fb5a","title":"AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework","authors":["Xubin Luo","Yang Cheng"],"arxiv_id":"2604.27855v1","doi":null,"published_at":"2026-04-30T13:40:26.000Z","score_object":{"overall":{"value":3,"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":"2026-05-01T14:51:09.590Z","fresh_until":"2026-05-31T14:51:09.590Z","is_stale":false,"source_count":1,"missingness":[]},"technical":{"value":1.4,"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":"2026-05-01T14:51:50.122Z","fresh_until":"2026-05-15T14:51:50.122Z","is_stale":true,"source_count":1,"missingness":["reproducibility_results.reproducibility_score","deployability_scores.score"]},"commercial":{"value":0,"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":"2026-05-01T14:51:09.590Z","fresh_until":"2026-05-31T14:51:09.590Z","is_stale":false,"source_count":1,"missingness":[]},"market":{"value":1,"scale":"0-10","confidence":0.8,"confidence_reason":"Backfilled from distribution_readiness_scores.score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-05-01T15:05:38.745Z","fresh_until":"2026-05-15T15:05:38.745Z","is_stale":true,"source_count":1,"missingness":[]},"team":{"value":3.25,"scale":"0-10","confidence":0.42,"confidence_reason":"Heuristic fallback from paper author count and extracted affiliations.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-05-01T14:51:09.590Z","fresh_until":"2026-05-15T14:51:09.590Z","is_stale":true,"source_count":2,"missingness":[]},"methodology":{"value":3.9,"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":"2026-05-01T14:51:50.122Z","fresh_until":"2026-05-31T14:51:50.122Z","is_stale":false,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"stale","proof_status":"unverified","repo_status":"missing","references_count":0,"source_count":3,"coverage":0.5,"missingness":["repo_url","references","proof_status"],"unresolved_unknowns":["proof verification has not been recorded yet"],"last_verification_at":"2026-05-01T15:05:38.745Z"},"lineage_hash":"bebbc1dd726e5def8e42fef233c4324913816bfe603ef78073343fccb212f8fe"},"distribution":null,"replication_evidence":[],"author_dna":[]}