{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TBRA4OIWIL2W5WQU7HQJXFKEBX","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":"ec4667be281cabce29bcf081315256210ef5452d29e8e950291e33cbf970dd9b","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-08-12T11:03:57Z","title_canon_sha256":"06f02cc5e776c131e5c35fd0cc87458f2e98f79c118af2600e5b3b31891c4388"},"schema_version":"1.0","source":{"id":"2208.06218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.06218","created_at":"2026-07-05T04:48:02Z"},{"alias_kind":"arxiv_version","alias_value":"2208.06218v1","created_at":"2026-07-05T04:48:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.06218","created_at":"2026-07-05T04:48:02Z"},{"alias_kind":"pith_short_12","alias_value":"TBRA4OIWIL2W","created_at":"2026-07-05T04:48:02Z"},{"alias_kind":"pith_short_16","alias_value":"TBRA4OIWIL2W5WQU","created_at":"2026-07-05T04:48:02Z"},{"alias_kind":"pith_short_8","alias_value":"TBRA4OIW","created_at":"2026-07-05T04:48:02Z"}],"graph_snapshots":[{"event_id":"sha256:81db335a626ecb1dd0abc7e29ff944a8cc6e9da7c22b8f15c730f84b3f8838e4","target":"graph","created_at":"2026-07-05T04:48:02Z","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/2208.06218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nowadays, in many different fields, massive data are available and for several reasons, it might be convenient to analyze just a subset of the data. The application of the D-optimality criterion can be helpful to optimally select a subsample of observations. However, it is well known that D-optimal support points lie on the boundary of the design space and if they go hand in hand with extreme response values, they can have a severe influence on the estimated linear model (leverage points with high influence). To overcome this problem, firstly, we propose an unsupervised exchange procedure that","authors_text":"C. Tommasi, E. Pesce, L. Deldossi","cross_cats":["stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-08-12T11:03:57Z","title":"A sub-sampling algorithm preventing outliers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.06218","kind":"arxiv","version":1},"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":"sha256:61864c62c565545ccd0bf95f1dc5ea254ead7b8968031794bbebba0597a85d5c","target":"record","created_at":"2026-07-05T04:48:02Z","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":"ec4667be281cabce29bcf081315256210ef5452d29e8e950291e33cbf970dd9b","cross_cats_sorted":["stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-08-12T11:03:57Z","title_canon_sha256":"06f02cc5e776c131e5c35fd0cc87458f2e98f79c118af2600e5b3b31891c4388"},"schema_version":"1.0","source":{"id":"2208.06218","kind":"arxiv","version":1}},"canonical_sha256":"98620e391642f56eda14f9e09b95440df4457a6f6c08a831ef1a8a96809593c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98620e391642f56eda14f9e09b95440df4457a6f6c08a831ef1a8a96809593c8","first_computed_at":"2026-07-05T04:48:02.548208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:48:02.548208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ckp9A9Q8LdJBpN2TAYT6enwvhvpbRE+gmGMuWVGq7de2dSCVZRCszkI0105bq+hXI+faz1KnSXb2sMDDPoLLCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:48:02.548575Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.06218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61864c62c565545ccd0bf95f1dc5ea254ead7b8968031794bbebba0597a85d5c","sha256:81db335a626ecb1dd0abc7e29ff944a8cc6e9da7c22b8f15c730f84b3f8838e4"],"state_sha256":"f5fb1a76c3bec28c0b785104b49200841e113068b9dea7af0e5d8515753bc16f"}