{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5RQP3EF45SAOZN4BVMZKLUS5WR","short_pith_number":"pith:5RQP3EF4","canonical_record":{"source":{"id":"2503.23927","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-31T10:20:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f82fa1418b78fe0401df5703eb5b23ec51c843a7ad747b70ba8600d5f7981db5","abstract_canon_sha256":"322fdcb47d54690b649db890fdf44c1dffcae820e178e0ff02b6c0ac588745d6"},"schema_version":"1.0"},"canonical_sha256":"ec60fd90bcec80ecb781ab32a5d25db444af41cb5bd1ea9bd9fd6ee4e1c93075","source":{"kind":"arxiv","id":"2503.23927","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23927","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23927v3","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23927","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_12","alias_value":"5RQP3EF45SAO","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_16","alias_value":"5RQP3EF45SAOZN4B","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_8","alias_value":"5RQP3EF4","created_at":"2026-05-20T00:00:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5RQP3EF45SAOZN4BVMZKLUS5WR","target":"record","payload":{"canonical_record":{"source":{"id":"2503.23927","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-31T10:20:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f82fa1418b78fe0401df5703eb5b23ec51c843a7ad747b70ba8600d5f7981db5","abstract_canon_sha256":"322fdcb47d54690b649db890fdf44c1dffcae820e178e0ff02b6c0ac588745d6"},"schema_version":"1.0"},"canonical_sha256":"ec60fd90bcec80ecb781ab32a5d25db444af41cb5bd1ea9bd9fd6ee4e1c93075","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:00:18.825906Z","signature_b64":"NzxjIeJYUwNBBPLLk655KpbMDwzgtXPZbwG/Z+WlNniLkzZ3qfQJHgwXZ+nsIz13VKpniX9ESMqCbzB8lBKhAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec60fd90bcec80ecb781ab32a5d25db444af41cb5bd1ea9bd9fd6ee4e1c93075","last_reissued_at":"2026-05-20T00:00:18.825161Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:00:18.825161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.23927","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:00:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ab8viHKVhjy+EFnGC6WnZB8vaba3ef4H+H1CVJNAcyhsoXbINjFps94gEEG+N6oCVLBhbt7Og+XEZnYdRJqiCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T18:03:13.367731Z"},"content_sha256":"5c6ee2bf0b39d17ffefc003437f40a028e003cf44c7170a1d05d67c63ec467fc","schema_version":"1.0","event_id":"sha256:5c6ee2bf0b39d17ffefc003437f40a028e003cf44c7170a1d05d67c63ec467fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5RQP3EF45SAOZN4BVMZKLUS5WR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alessandro Laio, Andre Scaffidi, Gabriella Contardo, Heikki Haario, Maximilian Autenrieth, Roberto Trotta, Sebastian Springer","submitted_at":"2025-03-31T10:20:04Z","abstract_excerpt":"Detecting localized differences between two samples is a central task in scientific data analysis, required for the identification of signal events, regime changes, or model mismatch. We introduce EagleEye, a method that pinpoints local over- and under-densities in multivariate feature spaces. EagleEye assigns each point an anomaly score by encoding its ordered k-nearest-neighbour list as a binary membership sequence and testing whether the cumulative number of successes in this sequence is consistent with a binomial (coin-flipping) null model. In the presence of a genuine local anomaly, neigh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23927","kind":"arxiv","version":3},"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/2503.23927/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:00:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/edAV5Uku0Yea9oVE8BKrCZNqRr6a49z2y+4IQiGQBmP8OpmOiJazLIpLZu+2LCxFjTV49++TvixFLveBsZfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T18:03:13.368110Z"},"content_sha256":"1fbb41c33618343b5968235d9682e36764d0d3109d23939ecb23b1ee696efad9","schema_version":"1.0","event_id":"sha256:1fbb41c33618343b5968235d9682e36764d0d3109d23939ecb23b1ee696efad9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/bundle.json","state_url":"https://pith.science/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-20T18:03:13Z","links":{"resolver":"https://pith.science/pith/5RQP3EF45SAOZN4BVMZKLUS5WR","bundle":"https://pith.science/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/bundle.json","state":"https://pith.science/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5RQP3EF45SAOZN4BVMZKLUS5WR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5RQP3EF45SAOZN4BVMZKLUS5WR","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":"322fdcb47d54690b649db890fdf44c1dffcae820e178e0ff02b6c0ac588745d6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-31T10:20:04Z","title_canon_sha256":"f82fa1418b78fe0401df5703eb5b23ec51c843a7ad747b70ba8600d5f7981db5"},"schema_version":"1.0","source":{"id":"2503.23927","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23927","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23927v3","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23927","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_12","alias_value":"5RQP3EF45SAO","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_16","alias_value":"5RQP3EF45SAOZN4B","created_at":"2026-05-20T00:00:18Z"},{"alias_kind":"pith_short_8","alias_value":"5RQP3EF4","created_at":"2026-05-20T00:00:18Z"}],"graph_snapshots":[{"event_id":"sha256:1fbb41c33618343b5968235d9682e36764d0d3109d23939ecb23b1ee696efad9","target":"graph","created_at":"2026-05-20T00:00:18Z","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/2503.23927/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting localized differences between two samples is a central task in scientific data analysis, required for the identification of signal events, regime changes, or model mismatch. We introduce EagleEye, a method that pinpoints local over- and under-densities in multivariate feature spaces. EagleEye assigns each point an anomaly score by encoding its ordered k-nearest-neighbour list as a binary membership sequence and testing whether the cumulative number of successes in this sequence is consistent with a binomial (coin-flipping) null model. In the presence of a genuine local anomaly, neigh","authors_text":"Alessandro Laio, Andre Scaffidi, Gabriella Contardo, Heikki Haario, Maximilian Autenrieth, Roberto Trotta, Sebastian Springer","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-31T10:20:04Z","title":"Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23927","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":"sha256:5c6ee2bf0b39d17ffefc003437f40a028e003cf44c7170a1d05d67c63ec467fc","target":"record","created_at":"2026-05-20T00:00:18Z","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":"322fdcb47d54690b649db890fdf44c1dffcae820e178e0ff02b6c0ac588745d6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-03-31T10:20:04Z","title_canon_sha256":"f82fa1418b78fe0401df5703eb5b23ec51c843a7ad747b70ba8600d5f7981db5"},"schema_version":"1.0","source":{"id":"2503.23927","kind":"arxiv","version":3}},"canonical_sha256":"ec60fd90bcec80ecb781ab32a5d25db444af41cb5bd1ea9bd9fd6ee4e1c93075","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec60fd90bcec80ecb781ab32a5d25db444af41cb5bd1ea9bd9fd6ee4e1c93075","first_computed_at":"2026-05-20T00:00:18.825161Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:00:18.825161Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NzxjIeJYUwNBBPLLk655KpbMDwzgtXPZbwG/Z+WlNniLkzZ3qfQJHgwXZ+nsIz13VKpniX9ESMqCbzB8lBKhAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:00:18.825906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23927","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c6ee2bf0b39d17ffefc003437f40a028e003cf44c7170a1d05d67c63ec467fc","sha256:1fbb41c33618343b5968235d9682e36764d0d3109d23939ecb23b1ee696efad9"],"state_sha256":"5ff64723eb731a8cb4fe870a95fbd598768196de2d85f742953df5495616771d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hIxd24Q+NRZB1RUv/5N7raVFRlxJrMTbT/gXMa/OFFrw5mB36tQgdI/0aXLwQYAKJvriL2LWFee8AiaqcxOoDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T18:03:13.370212Z","bundle_sha256":"2c29f3c0f5a7bf101616ee3790a5e1d841ee85e984b91fd694c715762a9ed0d1"}}