{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:OOCA2JHUXQ3BZORDU3CLJENJQL","short_pith_number":"pith:OOCA2JHU","canonical_record":{"source":{"id":"1703.04219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-13T01:38:56Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"07ba705b4c712f26da63879094b79317371a764f8d9b0889796e37bffc0850f7","abstract_canon_sha256":"a09030e8fa4108a7f3c97c41dab0ad7ae856ce48f024f22eec4c7900bb95b165"},"schema_version":"1.0"},"canonical_sha256":"73840d24f4bc361cba23a6c4b491a982d45623dd3192cd8e6204baad2e582d4a","source":{"kind":"arxiv","id":"1703.04219","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04219","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04219v1","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04219","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"pith_short_12","alias_value":"OOCA2JHUXQ3B","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"OOCA2JHUXQ3BZORD","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"OOCA2JHU","created_at":"2026-05-18T12:31:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:OOCA2JHUXQ3BZORDU3CLJENJQL","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-13T01:38:56Z","cross_cats_sorted":["cs.NA"],"title_canon_sha256":"07ba705b4c712f26da63879094b79317371a764f8d9b0889796e37bffc0850f7","abstract_canon_sha256":"a09030e8fa4108a7f3c97c41dab0ad7ae856ce48f024f22eec4c7900bb95b165"},"schema_version":"1.0"},"canonical_sha256":"73840d24f4bc361cba23a6c4b491a982d45623dd3192cd8e6204baad2e582d4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:49.404114Z","signature_b64":"u9OQ2No4T1+HkB8TgCg7KjPJBIZq4zmGbcNWuhuEhxe6HEw1XaqyfZf4Hvsyge+5Mx4e8+R5JFDQABUnrcZKBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73840d24f4bc361cba23a6c4b491a982d45623dd3192cd8e6204baad2e582d4a","last_reissued_at":"2026-05-18T00:48:49.403137Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:49.403137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04219","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":"2026-05-18T00:48:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"twULlo7x2y3PeTHh+X3cbdCFh2WyEk6xt0lWewmJdKwxTJKWg0ubusuJKmP7TwDg9VhPSBzoisPIISGbQAxHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T13:18:27.279626Z"},"content_sha256":"5488a7d10854cb6cc75fab4740eb9618f9d00e66c5491d914028f28ecfbbdb8b","schema_version":"1.0","event_id":"sha256:5488a7d10854cb6cc75fab4740eb9618f9d00e66c5491d914028f28ecfbbdb8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:OOCA2JHUXQ3BZORDU3CLJENJQL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SPARTan: Scalable PARAFAC2 for Large & Sparse Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NA"],"primary_cat":"cs.LG","authors_text":"Elizabeth Searles, Evangelos E. Papalexakis, Fei Wang, Ioakeim Perros, Jimeng Sun, Michael Thompson, Richard Vuduc","submitted_at":"2017-03-13T01:38:56Z","abstract_excerpt":"In exploratory tensor mining, a common problem is how to analyze a set of variables across a set of subjects whose observations do not align naturally. For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes. To handle such data, the state-of-the-art tensor model is the so-called PARAFAC2, which yields interpretable and robust output and can naturally handle sparse data. However, its main limitation up to now ha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04219","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":"2026-05-18T00:48:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1rwFT0bYtsSrjC4kzXsds6esmmGNwL0H4nxQNhDXsPVWuDM3cVsNLPtvd7Ynf1NMHlsYhYrOUQhNeu8AqF7kAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T13:18:27.279962Z"},"content_sha256":"4bf0535a34535efb600d4eee2f17e90da64bc5bbe220823e13fe9769c5bcd91f","schema_version":"1.0","event_id":"sha256:4bf0535a34535efb600d4eee2f17e90da64bc5bbe220823e13fe9769c5bcd91f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/bundle.json","state_url":"https://pith.science/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/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":"2026-06-23T13:18:27Z","links":{"resolver":"https://pith.science/pith/OOCA2JHUXQ3BZORDU3CLJENJQL","bundle":"https://pith.science/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/bundle.json","state":"https://pith.science/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OOCA2JHUXQ3BZORDU3CLJENJQL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:OOCA2JHUXQ3BZORDU3CLJENJQL","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":"a09030e8fa4108a7f3c97c41dab0ad7ae856ce48f024f22eec4c7900bb95b165","cross_cats_sorted":["cs.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-13T01:38:56Z","title_canon_sha256":"07ba705b4c712f26da63879094b79317371a764f8d9b0889796e37bffc0850f7"},"schema_version":"1.0","source":{"id":"1703.04219","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04219","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04219v1","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04219","created_at":"2026-05-18T00:48:49Z"},{"alias_kind":"pith_short_12","alias_value":"OOCA2JHUXQ3B","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"OOCA2JHUXQ3BZORD","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"OOCA2JHU","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:4bf0535a34535efb600d4eee2f17e90da64bc5bbe220823e13fe9769c5bcd91f","target":"graph","created_at":"2026-05-18T00:48:49Z","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":"In exploratory tensor mining, a common problem is how to analyze a set of variables across a set of subjects whose observations do not align naturally. For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes. To handle such data, the state-of-the-art tensor model is the so-called PARAFAC2, which yields interpretable and robust output and can naturally handle sparse data. However, its main limitation up to now ha","authors_text":"Elizabeth Searles, Evangelos E. Papalexakis, Fei Wang, Ioakeim Perros, Jimeng Sun, Michael Thompson, Richard Vuduc","cross_cats":["cs.NA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-13T01:38:56Z","title":"SPARTan: Scalable PARAFAC2 for Large & Sparse Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04219","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":"sha256:5488a7d10854cb6cc75fab4740eb9618f9d00e66c5491d914028f28ecfbbdb8b","target":"record","created_at":"2026-05-18T00:48:49Z","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":"a09030e8fa4108a7f3c97c41dab0ad7ae856ce48f024f22eec4c7900bb95b165","cross_cats_sorted":["cs.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-13T01:38:56Z","title_canon_sha256":"07ba705b4c712f26da63879094b79317371a764f8d9b0889796e37bffc0850f7"},"schema_version":"1.0","source":{"id":"1703.04219","kind":"arxiv","version":1}},"canonical_sha256":"73840d24f4bc361cba23a6c4b491a982d45623dd3192cd8e6204baad2e582d4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73840d24f4bc361cba23a6c4b491a982d45623dd3192cd8e6204baad2e582d4a","first_computed_at":"2026-05-18T00:48:49.403137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:49.403137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u9OQ2No4T1+HkB8TgCg7KjPJBIZq4zmGbcNWuhuEhxe6HEw1XaqyfZf4Hvsyge+5Mx4e8+R5JFDQABUnrcZKBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:49.404114Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04219","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5488a7d10854cb6cc75fab4740eb9618f9d00e66c5491d914028f28ecfbbdb8b","sha256:4bf0535a34535efb600d4eee2f17e90da64bc5bbe220823e13fe9769c5bcd91f"],"state_sha256":"b6233bb22998f658d950feebf00359f33390e38e9a65154d29882ca4ab14d096"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H8lBV77vp7Ren3VuChjqrj9Yo5m6gGvCJxb41wojodV7bHj2GSuT1zDuM5cuTgzkgXCDw8YJfyQPsROKAFbrCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T13:18:27.282165Z","bundle_sha256":"1dfa7c3ebafef5f5c8fef44f3f9c7f4dfa7909c8280b1be31d29bd24bef906e1"}}