{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:R4ZO7U3XMUOCGL5TS7OUQKEBII","short_pith_number":"pith:R4ZO7U3X","canonical_record":{"source":{"id":"1611.01602","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-05T04:44:58Z","cross_cats_sorted":[],"title_canon_sha256":"dc6c1e90b3a43754cb349d766c429aa80b65c8bc931a84d529be78c96e528c98","abstract_canon_sha256":"c8fa8fa062632ef5f3a9ac3eed04c5d430cf1554b91c02028cee947b907c6e4c"},"schema_version":"1.0"},"canonical_sha256":"8f32efd377651c232fb397dd482881421063dc346232a398e72548e484f2748d","source":{"kind":"arxiv","id":"1611.01602","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.01602","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"arxiv_version","alias_value":"1611.01602v2","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.01602","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"pith_short_12","alias_value":"R4ZO7U3XMUOC","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"R4ZO7U3XMUOCGL5T","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"R4ZO7U3X","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:R4ZO7U3XMUOCGL5TS7OUQKEBII","target":"record","payload":{"canonical_record":{"source":{"id":"1611.01602","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-05T04:44:58Z","cross_cats_sorted":[],"title_canon_sha256":"dc6c1e90b3a43754cb349d766c429aa80b65c8bc931a84d529be78c96e528c98","abstract_canon_sha256":"c8fa8fa062632ef5f3a9ac3eed04c5d430cf1554b91c02028cee947b907c6e4c"},"schema_version":"1.0"},"canonical_sha256":"8f32efd377651c232fb397dd482881421063dc346232a398e72548e484f2748d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:51.291698Z","signature_b64":"Ir232+cG2CNg4OSZP4LC6lc9Mc0riRZ2b7rltW7BL9S5GbOoHSbQsCWDIlQvPtnr6JpqCVWydUs5rVOUoAIUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f32efd377651c232fb397dd482881421063dc346232a398e72548e484f2748d","last_reissued_at":"2026-05-18T00:49:51.291307Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:51.291307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.01602","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:49:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FBGCbR5Hmq8G8PJMw1JE4LFbMT3gIb7NpxZyQTo0u2xq4sQbAv5v1A5pHrEKf+DC5ah0dZ41Fwu7BU9Zo7W1BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:46:07.942945Z"},"content_sha256":"d5bc2a49e8b4cb0343603f6d77eb7a4cb8a82741ebec1385ab7b56c37113cc50","schema_version":"1.0","event_id":"sha256:d5bc2a49e8b4cb0343603f6d77eb7a4cb8a82741ebec1385ab7b56c37113cc50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:R4ZO7U3XMUOCGL5TS7OUQKEBII","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Andrew L. Janke, David C. Reutens, Elizabeth M. C. Hillman, Geoffrey J. McLachlan, Hien D. Nguyen, Jeremy F. P. Ullmann, Venkatakaushik Voleti, Wenze Li","submitted_at":"2016-11-05T04:44:58Z","abstract_excerpt":"Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescent proteins that bind to calcium ions. These techniques generate large volumes of spatially correlated time series. A model-based functional data analysis methodology via Gaussian mixtures is suggested for the clustering of data from such visualizations is proposed. The methodology is theoretically justified and a computationally efficient approach to estimation is suggested. An example analysis of a zebrafish imaging"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.01602","kind":"arxiv","version":2},"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":"2026-05-18T00:49:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wzam7RyQPqo2h6Vhs6bp+z8dE5oQr0djXFh8htVDQpWFIjR7DMtie3MmKs1s5aj3Kvrw3oLH34vHOe6a/5XLDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T19:46:07.943293Z"},"content_sha256":"4542c8fc935fc4e29bd83ce0c4125aa0e02161bde76ad68ba61a1d30b73904a1","schema_version":"1.0","event_id":"sha256:4542c8fc935fc4e29bd83ce0c4125aa0e02161bde76ad68ba61a1d30b73904a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/bundle.json","state_url":"https://pith.science/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/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":"2026-06-02T19:46:07Z","links":{"resolver":"https://pith.science/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII","bundle":"https://pith.science/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/bundle.json","state":"https://pith.science/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R4ZO7U3XMUOCGL5TS7OUQKEBII/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:R4ZO7U3XMUOCGL5TS7OUQKEBII","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":"c8fa8fa062632ef5f3a9ac3eed04c5d430cf1554b91c02028cee947b907c6e4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-05T04:44:58Z","title_canon_sha256":"dc6c1e90b3a43754cb349d766c429aa80b65c8bc931a84d529be78c96e528c98"},"schema_version":"1.0","source":{"id":"1611.01602","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.01602","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"arxiv_version","alias_value":"1611.01602v2","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.01602","created_at":"2026-05-18T00:49:51Z"},{"alias_kind":"pith_short_12","alias_value":"R4ZO7U3XMUOC","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"R4ZO7U3XMUOCGL5T","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"R4ZO7U3X","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:4542c8fc935fc4e29bd83ce0c4125aa0e02161bde76ad68ba61a1d30b73904a1","target":"graph","created_at":"2026-05-18T00:49:51Z","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":"Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescent proteins that bind to calcium ions. These techniques generate large volumes of spatially correlated time series. A model-based functional data analysis methodology via Gaussian mixtures is suggested for the clustering of data from such visualizations is proposed. The methodology is theoretically justified and a computationally efficient approach to estimation is suggested. An example analysis of a zebrafish imaging","authors_text":"Andrew L. Janke, David C. Reutens, Elizabeth M. C. Hillman, Geoffrey J. McLachlan, Hien D. Nguyen, Jeremy F. P. Ullmann, Venkatakaushik Voleti, Wenze Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-05T04:44:58Z","title":"Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.01602","kind":"arxiv","version":2},"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:d5bc2a49e8b4cb0343603f6d77eb7a4cb8a82741ebec1385ab7b56c37113cc50","target":"record","created_at":"2026-05-18T00:49:51Z","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":"c8fa8fa062632ef5f3a9ac3eed04c5d430cf1554b91c02028cee947b907c6e4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-05T04:44:58Z","title_canon_sha256":"dc6c1e90b3a43754cb349d766c429aa80b65c8bc931a84d529be78c96e528c98"},"schema_version":"1.0","source":{"id":"1611.01602","kind":"arxiv","version":2}},"canonical_sha256":"8f32efd377651c232fb397dd482881421063dc346232a398e72548e484f2748d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f32efd377651c232fb397dd482881421063dc346232a398e72548e484f2748d","first_computed_at":"2026-05-18T00:49:51.291307Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:51.291307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ir232+cG2CNg4OSZP4LC6lc9Mc0riRZ2b7rltW7BL9S5GbOoHSbQsCWDIlQvPtnr6JpqCVWydUs5rVOUoAIUDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:51.291698Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.01602","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5bc2a49e8b4cb0343603f6d77eb7a4cb8a82741ebec1385ab7b56c37113cc50","sha256:4542c8fc935fc4e29bd83ce0c4125aa0e02161bde76ad68ba61a1d30b73904a1"],"state_sha256":"e772d9b86b6ea7d792eac696d2a139095826e11420af45f613a35d8a94fef6ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PyaBKKm0DrJd5yHISfKW+SapJLYz5vxaUsP7ILwAzGNRy/jUcT/xTh6bSLS635bdCrZEMUrKIzv9nj67X5ajDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T19:46:07.945291Z","bundle_sha256":"817d6cb34c80a0d2c537ec444354c1ffe3f133c3452014eb46e48f76c1d3fda1"}}