{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6EYEJ6R6FEUO7WFPJ3IZADRGIQ","short_pith_number":"pith:6EYEJ6R6","canonical_record":{"source":{"id":"1705.05181","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-15T12:23:15Z","cross_cats_sorted":[],"title_canon_sha256":"13d2569302ee41c271e62f70e5b4ba612943ab3abde5739dcb2c42f8402be827","abstract_canon_sha256":"c5eca4b72133b38d778d277d6e147580991ab7ea362a5063f7ab8a33eede5d8e"},"schema_version":"1.0"},"canonical_sha256":"f13044fa3e2928efd8af4ed1900e26441b491688e4a38f80ea08457ea1651c2f","source":{"kind":"arxiv","id":"1705.05181","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.05181","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.05181v1","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.05181","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"pith_short_12","alias_value":"6EYEJ6R6FEUO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6EYEJ6R6FEUO7WFP","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6EYEJ6R6","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6EYEJ6R6FEUO7WFPJ3IZADRGIQ","target":"record","payload":{"canonical_record":{"source":{"id":"1705.05181","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-15T12:23:15Z","cross_cats_sorted":[],"title_canon_sha256":"13d2569302ee41c271e62f70e5b4ba612943ab3abde5739dcb2c42f8402be827","abstract_canon_sha256":"c5eca4b72133b38d778d277d6e147580991ab7ea362a5063f7ab8a33eede5d8e"},"schema_version":"1.0"},"canonical_sha256":"f13044fa3e2928efd8af4ed1900e26441b491688e4a38f80ea08457ea1651c2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:31.165013Z","signature_b64":"263bZmFcNVrNvYloU9fWvy3srqjHVnpJQI7Bm6V2WPOKqG3ViAh5kWvfCRxvL3a+3UC37T+mrVKOr8VC0JBbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f13044fa3e2928efd8af4ed1900e26441b491688e4a38f80ea08457ea1651c2f","last_reissued_at":"2026-05-18T00:44:31.164469Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:31.164469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.05181","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:44:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yYbsynF7bl/ZaXrEKIHtCmeSauzuv8qjs1b7FygOXAvwjbP9VZKA+CKUUs1O1Eitn43jP17ryX5TAKop88+nAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:46:24.232281Z"},"content_sha256":"9a9be0a136aabb263c21ccc6a2aec2d0a4078560d6c5ade2a181f08446c64c93","schema_version":"1.0","event_id":"sha256:9a9be0a136aabb263c21ccc6a2aec2d0a4078560d6c5ade2a181f08446c64c93"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6EYEJ6R6FEUO7WFPJ3IZADRGIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Determinantal point process mixtures via spectral density approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Alessandra Guglielmi, Fernando A. Quintana, Ilaria Bianchini","submitted_at":"2017-05-15T12:23:15Z","abstract_excerpt":"We consider mixture models where location parameters are a priori encouraged to be well separated. We explore a class of determinantal point process (DPP) mixture models, which provide the desired notion of separation or repulsion. Instead of using the rather restrictive case where analytical results are available, we adopt a spectral representation from which approximations to the DPP intensity functions can be readily computed. For the sake of concreteness the presentation focuses on a power exponential spectral density, but the proposed approach is in fact quite general. We later extend our"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.05181","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":""},"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":"2026-05-18T00:44:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4RY3sWDK08fN/WzfFw3PROHqz8U9wrXnEIQJ1cs1T/VPJoEIb8Md/gXKhUJWDG724nEhDYFKX0k/FF7Zy83QDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T15:46:24.232632Z"},"content_sha256":"2e88e7c49e838f2175fd9b9df0eb6d3db9bff5c185e72833f794b2d5c5823c81","schema_version":"1.0","event_id":"sha256:2e88e7c49e838f2175fd9b9df0eb6d3db9bff5c185e72833f794b2d5c5823c81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/bundle.json","state_url":"https://pith.science/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/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":"2026-05-30T15:46:24Z","links":{"resolver":"https://pith.science/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ","bundle":"https://pith.science/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/bundle.json","state":"https://pith.science/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6EYEJ6R6FEUO7WFPJ3IZADRGIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6EYEJ6R6FEUO7WFPJ3IZADRGIQ","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":"c5eca4b72133b38d778d277d6e147580991ab7ea362a5063f7ab8a33eede5d8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-15T12:23:15Z","title_canon_sha256":"13d2569302ee41c271e62f70e5b4ba612943ab3abde5739dcb2c42f8402be827"},"schema_version":"1.0","source":{"id":"1705.05181","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.05181","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"arxiv_version","alias_value":"1705.05181v1","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.05181","created_at":"2026-05-18T00:44:31Z"},{"alias_kind":"pith_short_12","alias_value":"6EYEJ6R6FEUO","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6EYEJ6R6FEUO7WFP","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6EYEJ6R6","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:2e88e7c49e838f2175fd9b9df0eb6d3db9bff5c185e72833f794b2d5c5823c81","target":"graph","created_at":"2026-05-18T00:44:31Z","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"},"paper":{"abstract_excerpt":"We consider mixture models where location parameters are a priori encouraged to be well separated. We explore a class of determinantal point process (DPP) mixture models, which provide the desired notion of separation or repulsion. Instead of using the rather restrictive case where analytical results are available, we adopt a spectral representation from which approximations to the DPP intensity functions can be readily computed. For the sake of concreteness the presentation focuses on a power exponential spectral density, but the proposed approach is in fact quite general. We later extend our","authors_text":"Alessandra Guglielmi, Fernando A. Quintana, Ilaria Bianchini","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-15T12:23:15Z","title":"Determinantal point process mixtures via spectral density approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.05181","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":"sha256:9a9be0a136aabb263c21ccc6a2aec2d0a4078560d6c5ade2a181f08446c64c93","target":"record","created_at":"2026-05-18T00:44:31Z","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":"c5eca4b72133b38d778d277d6e147580991ab7ea362a5063f7ab8a33eede5d8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-15T12:23:15Z","title_canon_sha256":"13d2569302ee41c271e62f70e5b4ba612943ab3abde5739dcb2c42f8402be827"},"schema_version":"1.0","source":{"id":"1705.05181","kind":"arxiv","version":1}},"canonical_sha256":"f13044fa3e2928efd8af4ed1900e26441b491688e4a38f80ea08457ea1651c2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f13044fa3e2928efd8af4ed1900e26441b491688e4a38f80ea08457ea1651c2f","first_computed_at":"2026-05-18T00:44:31.164469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:31.164469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"263bZmFcNVrNvYloU9fWvy3srqjHVnpJQI7Bm6V2WPOKqG3ViAh5kWvfCRxvL3a+3UC37T+mrVKOr8VC0JBbCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:31.165013Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.05181","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a9be0a136aabb263c21ccc6a2aec2d0a4078560d6c5ade2a181f08446c64c93","sha256:2e88e7c49e838f2175fd9b9df0eb6d3db9bff5c185e72833f794b2d5c5823c81"],"state_sha256":"42d31a07f82a646be870b052d3364b01ff4812c4ccca9f799b07fa36788e9162"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2VR/6V6ZFlnDT8umOeXYqSpWcG/8u/WP2uJtLNTR4zEU+vXU0FZcCjivePjBl9yqr/ZScBQlgqjXtyHLCiYFDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T15:46:24.234651Z","bundle_sha256":"1d574e2b38881920db911c24f2685bcee4fa1498241e2e651cb45dc34a7d535d"}}