{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AGCYJZJDNIE7YF6JTDJMHRRB3C","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"181e4a764bcbdd7aac227f6cf180032a80a54528e94939ad9a41c0ca9ca5b63e","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-28T15:25:46Z","title_canon_sha256":"3e2900a2bcc32a4b3a60dd3e003b5ddd10d2eafd092c1df0f526417d39ec7c7b"},"schema_version":"1.0","source":{"id":"2303.16047","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16047","created_at":"2026-07-05T07:13:40Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16047v3","created_at":"2026-07-05T07:13:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16047","created_at":"2026-07-05T07:13:40Z"},{"alias_kind":"pith_short_12","alias_value":"AGCYJZJDNIE7","created_at":"2026-07-05T07:13:40Z"},{"alias_kind":"pith_short_16","alias_value":"AGCYJZJDNIE7YF6J","created_at":"2026-07-05T07:13:40Z"},{"alias_kind":"pith_short_8","alias_value":"AGCYJZJD","created_at":"2026-07-05T07:13:40Z"}],"graph_snapshots":[{"event_id":"sha256:12a9a28b500d707ea2b38c02ceff66aa4b200ccd197d8a64fd555d40fb74e235","target":"graph","created_at":"2026-07-05T07:13:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.16047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In real applications, interaction between machine learning models and domain experts is critical; however, the classical machine learning paradigm that usually produces only a single model does not facilitate such interaction. Approximating and exploring the Rashomon set, i.e., the set of all near-optimal models, addresses this practical challenge by providing the user with a searchable space containing a diverse set of models from which domain experts can choose. We present algorithms to efficiently and accurately approximate the Rashomon set of sparse, generalized additive models with ellips","authors_text":"Chudi Zhong, Cynthia Rudin, Jiachang Liu, Margo Seltzer, Zhi Chen","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-28T15:25:46Z","title":"Exploring and Interacting with the Set of Good Sparse Generalized Additive Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16047","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4ad7b9421b6a9f775bd4b60de12efbda1aeb303c10d79f97d5d0d62617875f0d","target":"record","created_at":"2026-07-05T07:13:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"181e4a764bcbdd7aac227f6cf180032a80a54528e94939ad9a41c0ca9ca5b63e","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-28T15:25:46Z","title_canon_sha256":"3e2900a2bcc32a4b3a60dd3e003b5ddd10d2eafd092c1df0f526417d39ec7c7b"},"schema_version":"1.0","source":{"id":"2303.16047","kind":"arxiv","version":3}},"canonical_sha256":"018584e5236a09fc17c998d2c3c621d8ba59b0d313cfadc4568520f70e3b7e5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"018584e5236a09fc17c998d2c3c621d8ba59b0d313cfadc4568520f70e3b7e5c","first_computed_at":"2026-07-05T07:13:40.954635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:40.954635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TM7QmW7bY0uAwXfdvccs3SBeUo7RI5x3Z4V1XgU32lhd8Jr6q7GCwGhUPcMHfD6NwTF4M/RUvW4CYDwp49cKBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:40.955106Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.16047","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ad7b9421b6a9f775bd4b60de12efbda1aeb303c10d79f97d5d0d62617875f0d","sha256:12a9a28b500d707ea2b38c02ceff66aa4b200ccd197d8a64fd555d40fb74e235"],"state_sha256":"5d91336108252bfc9f6e2bd4dd796451907bfe5991ac728dcd984e3c102fcc4c"}