{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:534BJJ3TDRIWMSINFDA3RFZ7BQ","short_pith_number":"pith:534BJJ3T","canonical_record":{"source":{"id":"1905.12568","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-23T19:43:57Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a527609c8194a04f9feb562f3969673c7e6278be1dc62310bb584e549a71a041","abstract_canon_sha256":"ed57c3a40ab06c04bc6e49ed367d708dfb7957dc4f1a54d0fe8977c7e5db97ac"},"schema_version":"1.0"},"canonical_sha256":"eef814a7731c5166490d28c1b8973f0c1bcdcc3a11d383ead3056be11d071091","source":{"kind":"arxiv","id":"1905.12568","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12568","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12568v1","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12568","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"pith_short_12","alias_value":"534BJJ3TDRIW","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"534BJJ3TDRIWMSIN","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"534BJJ3T","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:534BJJ3TDRIWMSINFDA3RFZ7BQ","target":"record","payload":{"canonical_record":{"source":{"id":"1905.12568","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-23T19:43:57Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"a527609c8194a04f9feb562f3969673c7e6278be1dc62310bb584e549a71a041","abstract_canon_sha256":"ed57c3a40ab06c04bc6e49ed367d708dfb7957dc4f1a54d0fe8977c7e5db97ac"},"schema_version":"1.0"},"canonical_sha256":"eef814a7731c5166490d28c1b8973f0c1bcdcc3a11d383ead3056be11d071091","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:43.946804Z","signature_b64":"KXhmi/FieEY2hcT+3gVY2fBgLXMXkjZjx18YiFFkkZ51zip9FblcxUHCO8mDfgTY60D9iv8xUqSqgUPLE+qNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eef814a7731c5166490d28c1b8973f0c1bcdcc3a11d383ead3056be11d071091","last_reissued_at":"2026-05-17T23:44:43.946166Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:43.946166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.12568","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":"2026-05-17T23:44:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6VcLhU0Fmi4sesTEjB7ZVZB9tjYhGcDwVCz2dIjQfdmZo1bxT2I4mBUw/McW3QqBCjX92S8XWOy3kVqK7ha7Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T14:28:42.784907Z"},"content_sha256":"b2862e8298637d46502d8293cf6ba7698aac2b5ed6de09a9a3aa4f9a3ccf4f49","schema_version":"1.0","event_id":"sha256:b2862e8298637d46502d8293cf6ba7698aac2b5ed6de09a9a3aa4f9a3ccf4f49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:534BJJ3TDRIWMSINFDA3RFZ7BQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jean Hilger, Jeremy Charlier, Radu State","submitted_at":"2019-05-23T19:43:57Z","abstract_excerpt":"The digital revolution of the banking system with evolving European regulations have pushed the major banking actors to innovate by a newly use of their clients' digital information. Given highly sparse client activities, we propose CPOPT-Net, an algorithm that combines the CP canonical tensor decomposition, a multidimensional matrix decomposition that factorizes a tensor as the sum of rank-one tensors, and neural networks. CPOPT-Net removes efficiently sparse information with a gradient-based resolution while relying on neural networks for time series predictions. Our experiments show that CP"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12568","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":"2026-05-17T23:44:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ilpNK+Ss0z/yG9qaKSAD1LlSiYx0/wl6pioxAZMHDeIq9T6MU7MmqQhyrmRiNshXfSIEVOgu8uwm3DH/Pm4kDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T14:28:42.785246Z"},"content_sha256":"30d4f3d00ad4fb6bf9b5193b7489d8d91f0426a9cc049c243fda228bfaa5abd2","schema_version":"1.0","event_id":"sha256:30d4f3d00ad4fb6bf9b5193b7489d8d91f0426a9cc049c243fda228bfaa5abd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/bundle.json","state_url":"https://pith.science/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/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":"2026-06-01T14:28:42Z","links":{"resolver":"https://pith.science/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ","bundle":"https://pith.science/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/bundle.json","state":"https://pith.science/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/534BJJ3TDRIWMSINFDA3RFZ7BQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:534BJJ3TDRIWMSINFDA3RFZ7BQ","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":"ed57c3a40ab06c04bc6e49ed367d708dfb7957dc4f1a54d0fe8977c7e5db97ac","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-23T19:43:57Z","title_canon_sha256":"a527609c8194a04f9feb562f3969673c7e6278be1dc62310bb584e549a71a041"},"schema_version":"1.0","source":{"id":"1905.12568","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12568","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12568v1","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12568","created_at":"2026-05-17T23:44:43Z"},{"alias_kind":"pith_short_12","alias_value":"534BJJ3TDRIW","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"534BJJ3TDRIWMSIN","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"534BJJ3T","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:30d4f3d00ad4fb6bf9b5193b7489d8d91f0426a9cc049c243fda228bfaa5abd2","target":"graph","created_at":"2026-05-17T23:44:43Z","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":"The digital revolution of the banking system with evolving European regulations have pushed the major banking actors to innovate by a newly use of their clients' digital information. Given highly sparse client activities, we propose CPOPT-Net, an algorithm that combines the CP canonical tensor decomposition, a multidimensional matrix decomposition that factorizes a tensor as the sum of rank-one tensors, and neural networks. CPOPT-Net removes efficiently sparse information with a gradient-based resolution while relying on neural networks for time series predictions. Our experiments show that CP","authors_text":"Jean Hilger, Jeremy Charlier, Radu State","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-23T19:43:57Z","title":"Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12568","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:b2862e8298637d46502d8293cf6ba7698aac2b5ed6de09a9a3aa4f9a3ccf4f49","target":"record","created_at":"2026-05-17T23:44:43Z","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":"ed57c3a40ab06c04bc6e49ed367d708dfb7957dc4f1a54d0fe8977c7e5db97ac","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-23T19:43:57Z","title_canon_sha256":"a527609c8194a04f9feb562f3969673c7e6278be1dc62310bb584e549a71a041"},"schema_version":"1.0","source":{"id":"1905.12568","kind":"arxiv","version":1}},"canonical_sha256":"eef814a7731c5166490d28c1b8973f0c1bcdcc3a11d383ead3056be11d071091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eef814a7731c5166490d28c1b8973f0c1bcdcc3a11d383ead3056be11d071091","first_computed_at":"2026-05-17T23:44:43.946166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:43.946166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KXhmi/FieEY2hcT+3gVY2fBgLXMXkjZjx18YiFFkkZ51zip9FblcxUHCO8mDfgTY60D9iv8xUqSqgUPLE+qNBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:43.946804Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.12568","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2862e8298637d46502d8293cf6ba7698aac2b5ed6de09a9a3aa4f9a3ccf4f49","sha256:30d4f3d00ad4fb6bf9b5193b7489d8d91f0426a9cc049c243fda228bfaa5abd2"],"state_sha256":"030a436946655929de511e72044dbe5f980e69358a5eb7a49cf45f6220176574"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pzo8VnsgcCi4fyE9JDuP5+bSxdfInozHcuTVPaLldtykK0ewDGjjBAx//ILhnO2/jMlAGUWgUUrZDOzIGqlxDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T14:28:42.787186Z","bundle_sha256":"2b054f7e595f398ea2ac92889426404a8afe76fad7990f4a2f42b91961c118a3"}}