{"schema_version":"papers/paper-detail-v1","title":"PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models","surface":"papers","opportunity_kernel":{"paper_id":"d8b7d3c2-d512-4c56-8b2c-24a36fb64622","title":"PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models","authors":["Zhiyong Ma","Zhitao Deng","Huan Tang","Jialin Chen","Zhijun Zheng","Zhengping Li","Qingyuan Chuai"],"arxiv_id":"2604.05634v1","doi":null,"published_at":"2026-04-07T09:36:12.000Z","score_object":{"overall":{"value":6,"scale":"0-10","confidence":0.85,"confidence_reason":"Backfilled from persisted papers.viability_score.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-05-08T03:22:09.832Z","is_stale":true,"source_count":1,"missingness":[]},"technical":{"value":0,"scale":"0-10","confidence":0.15,"confidence_reason":"No canonical technical score row was available yet; marked low confidence.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-04-22T03:22:09.832Z","is_stale":true,"source_count":0,"missingness":["paper_score_objects.technical"]},"commercial":{"value":4,"scale":"0-10","confidence":0.7,"confidence_reason":"Backfilled from persisted commercial_flags and repo availability.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-05-08T03:22:09.832Z","is_stale":true,"source_count":1,"missingness":[]},"market":{"value":0,"scale":"0-10","confidence":0.15,"confidence_reason":"No canonical market score row was available yet; marked low confidence.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-04-22T03:22:09.832Z","is_stale":true,"source_count":0,"missingness":["paper_score_objects.market"]},"team":{"value":0,"scale":"0-10","confidence":0.15,"confidence_reason":"No canonical team score row was available yet; marked low confidence.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-04-22T03:22:09.832Z","is_stale":true,"source_count":0,"missingness":["paper_score_objects.team"]},"methodology":{"value":0,"scale":"0-10","confidence":0.15,"confidence_reason":"No canonical methodology score row was available yet; marked low confidence.","model_version":"phase0-web-fallback-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-08T03:22:09.832Z","fresh_until":"2026-05-08T03:22:09.832Z","is_stale":true,"source_count":0,"missingness":["paper_score_objects.methodology"]}},"evidence_receipt":{"freshness":"unknown","proof_status":"unverified","repo_status":"missing","references_count":0,"source_count":0,"coverage":0,"missingness":["paper_evidence_receipts.references_count","paper_evidence_receipts.coverage"],"unresolved_unknowns":["Canonical evidence receipt has not been materialized yet."],"last_verification_at":"2026-04-08T03:22:09.832Z"},"lineage_hash":"c912b480ee3ed4d32f88a8ecb23f105e3f96b43478a909f56a558bd42a442e29"},"distribution":null,"replication_evidence":[],"author_dna":[]}