{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:DHMEYTOY65CAHIWK7TX7SNX5SD","short_pith_number":"pith:DHMEYTOY","schema_version":"1.0","canonical_sha256":"19d84c4dd8f74403a2cafceff936fd90c5b057e86fb9d94bca07b8b056c791cc","source":{"kind":"arxiv","id":"2506.06491","version":1},"attestation_state":"computed","paper":{"title":"When Tukey meets Chauvenet: a new boxplot criterion for outlier detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Hongmei Lin, Riquan Zhang, Tiejun Tong","submitted_at":"2025-06-06T19:34:43Z","abstract_excerpt":"The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of sample size, yielding the so-called \"one-size-fits-all\" fences for outlier detection. Although improvements on the sample size adjusted boxplots do exist in the literature, most of them are either not easy to implement or lack justification. As another common rule for outlier detection, Chauvenet's criterion uses the sample mean and standard derivation to perform the test, but it is often sensitive to the included o"},"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":"2506.06491","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-06T19:34:43Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"5845b43981cbb7e6edef1f0d3f59904a155152027df7a3187df2e6cb9b5832df","abstract_canon_sha256":"9faf74865dda1e05e045471a7cb8eef17c03ce785aac0423f400127e01e1c7f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:51.049468Z","signature_b64":"WzTQkqq5AvfzhDZFGQs5m4g/Ng6oPnaZJ+hkF9i4HMsLs0EvIPM/d+Lia1t/yVAF589D+ierseOJwLtOMqaOCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19d84c4dd8f74403a2cafceff936fd90c5b057e86fb9d94bca07b8b056c791cc","last_reissued_at":"2026-07-05T11:17:51.048967Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:51.048967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Tukey meets Chauvenet: a new boxplot criterion for outlier detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Hongmei Lin, Riquan Zhang, Tiejun Tong","submitted_at":"2025-06-06T19:34:43Z","abstract_excerpt":"The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of sample size, yielding the so-called \"one-size-fits-all\" fences for outlier detection. Although improvements on the sample size adjusted boxplots do exist in the literature, most of them are either not easy to implement or lack justification. As another common rule for outlier detection, Chauvenet's criterion uses the sample mean and standard derivation to perform the test, but it is often sensitive to the included o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06491","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/2506.06491/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":"2506.06491","created_at":"2026-07-05T11:17:51.049023+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.06491v1","created_at":"2026-07-05T11:17:51.049023+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06491","created_at":"2026-07-05T11:17:51.049023+00:00"},{"alias_kind":"pith_short_12","alias_value":"DHMEYTOY65CA","created_at":"2026-07-05T11:17:51.049023+00:00"},{"alias_kind":"pith_short_16","alias_value":"DHMEYTOY65CAHIWK","created_at":"2026-07-05T11:17:51.049023+00:00"},{"alias_kind":"pith_short_8","alias_value":"DHMEYTOY","created_at":"2026-07-05T11:17:51.049023+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/DHMEYTOY65CAHIWK7TX7SNX5SD","json":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD.json","graph_json":"https://pith.science/api/pith-number/DHMEYTOY65CAHIWK7TX7SNX5SD/graph.json","events_json":"https://pith.science/api/pith-number/DHMEYTOY65CAHIWK7TX7SNX5SD/events.json","paper":"https://pith.science/paper/DHMEYTOY"},"agent_actions":{"view_html":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD","download_json":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD.json","view_paper":"https://pith.science/paper/DHMEYTOY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.06491&json=true","fetch_graph":"https://pith.science/api/pith-number/DHMEYTOY65CAHIWK7TX7SNX5SD/graph.json","fetch_events":"https://pith.science/api/pith-number/DHMEYTOY65CAHIWK7TX7SNX5SD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD/action/storage_attestation","attest_author":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD/action/author_attestation","sign_citation":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD/action/citation_signature","submit_replication":"https://pith.science/pith/DHMEYTOY65CAHIWK7TX7SNX5SD/action/replication_record"}},"created_at":"2026-07-05T11:17:51.049023+00:00","updated_at":"2026-07-05T11:17:51.049023+00:00"}