{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:T62326YVR72PFND6JGXV4L7M45","short_pith_number":"pith:T62326YV","schema_version":"1.0","canonical_sha256":"9fb5bd7b158ff4f2b47e49af5e2fece770c3d5589c6c235c53b5fbc7495cbdb2","source":{"kind":"arxiv","id":"2307.09779","version":1},"attestation_state":"computed","paper":{"title":"Beyond Single-Feature Importance with ICECREAM","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Atalanti A. Mastakouri, Elke Kirschbaum, Michael Oesterle, Patrick Bl\\\"obaum","submitted_at":"2023-07-19T06:48:33Z","abstract_excerpt":"Which set of features was responsible for a certain output of a machine learning model? Which components caused the failure of a cloud computing application? These are just two examples of questions we are addressing in this work by Identifying Coalition-based Explanations for Common and Rare Events in Any Model (ICECREAM). Specifically, we propose an information-theoretic quantitative measure for the influence of a coalition of variables on the distribution of a target variable. This allows us to identify which set of factors is essential to obtain a certain outcome, as opposed to well-establ"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.09779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-19T06:48:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8637f330db1b9d8efe23d07196989f6ca924fa9bf1f110ad28ad08116620f27a","abstract_canon_sha256":"02567fae475f2cde4b62b3b160f515343558874625441ef63734637b6f3d8506"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:46.235971Z","signature_b64":"DdUxuBGwAIrC4kUXzDZGfzdMKYiCTbzGEYCuPvGTugVSy1gvSbHPeACPfkRSrSKp37iUqoKTfxsz379sK3NFCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fb5bd7b158ff4f2b47e49af5e2fece770c3d5589c6c235c53b5fbc7495cbdb2","last_reissued_at":"2026-07-05T06:32:46.235619Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:46.235619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Single-Feature Importance with ICECREAM","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Atalanti A. Mastakouri, Elke Kirschbaum, Michael Oesterle, Patrick Bl\\\"obaum","submitted_at":"2023-07-19T06:48:33Z","abstract_excerpt":"Which set of features was responsible for a certain output of a machine learning model? Which components caused the failure of a cloud computing application? These are just two examples of questions we are addressing in this work by Identifying Coalition-based Explanations for Common and Rare Events in Any Model (ICECREAM). Specifically, we propose an information-theoretic quantitative measure for the influence of a coalition of variables on the distribution of a target variable. This allows us to identify which set of factors is essential to obtain a certain outcome, as opposed to well-establ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09779","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.09779/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.09779","created_at":"2026-07-05T06:32:46.235671+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.09779v1","created_at":"2026-07-05T06:32:46.235671+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09779","created_at":"2026-07-05T06:32:46.235671+00:00"},{"alias_kind":"pith_short_12","alias_value":"T62326YVR72P","created_at":"2026-07-05T06:32:46.235671+00:00"},{"alias_kind":"pith_short_16","alias_value":"T62326YVR72PFND6","created_at":"2026-07-05T06:32:46.235671+00:00"},{"alias_kind":"pith_short_8","alias_value":"T62326YV","created_at":"2026-07-05T06:32:46.235671+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45","json":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45.json","graph_json":"https://pith.science/api/pith-number/T62326YVR72PFND6JGXV4L7M45/graph.json","events_json":"https://pith.science/api/pith-number/T62326YVR72PFND6JGXV4L7M45/events.json","paper":"https://pith.science/paper/T62326YV"},"agent_actions":{"view_html":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45","download_json":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45.json","view_paper":"https://pith.science/paper/T62326YV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.09779&json=true","fetch_graph":"https://pith.science/api/pith-number/T62326YVR72PFND6JGXV4L7M45/graph.json","fetch_events":"https://pith.science/api/pith-number/T62326YVR72PFND6JGXV4L7M45/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45/action/storage_attestation","attest_author":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45/action/author_attestation","sign_citation":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45/action/citation_signature","submit_replication":"https://pith.science/pith/T62326YVR72PFND6JGXV4L7M45/action/replication_record"}},"created_at":"2026-07-05T06:32:46.235671+00:00","updated_at":"2026-07-05T06:32:46.235671+00:00"}