{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YUEIFDIRGIVR4CXTCWTSNGQC6T","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":"065a365fb28785033be29dfb1dd2c3a6a99b613094b04ce789b69c919bc23891","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-20T09:47:22Z","title_canon_sha256":"db5979f4ce32a1bf3febbe079cd958467fb5f50e03035461681843116f4ced32"},"schema_version":"1.0","source":{"id":"1903.08408","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.08408","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"arxiv_version","alias_value":"1903.08408v1","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.08408","created_at":"2026-05-17T23:50:48Z"},{"alias_kind":"pith_short_12","alias_value":"YUEIFDIRGIVR","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YUEIFDIRGIVR4CXT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YUEIFDIR","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:4e95cf3f65959a3036f3b2ad464f689c36be8c658372c4bb554fb70ff48b3968","target":"graph","created_at":"2026-05-17T23:50:48Z","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":"Modelling sequential music skips provides streaming companies the ability to better understand the needs of the user base, resulting in a better user experience by reducing the need to manually skip certain music tracks. This paper describes the solution of the University of Copenhagen DIKU-IR team in the 'Spotify Sequential Skip Prediction Challenge', where the task was to predict the skip behaviour of the second half in a music listening session conditioned on the first half. We model this task using a Multi-RNN approach consisting of two distinct stacked recurrent neural networks, where one","authors_text":"Casper Hansen, Christian Hansen, Christina Lioma, Jakob Grue Simonsen, Stephen Alstrup","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-20T09:47:22Z","title":"Modelling Sequential Music Track Skips using a Multi-RNN Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.08408","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":"sha256:2825c2976892092fb39fa752251cc0b5bedbdd85103ffc87cf31e74851a1f8b5","target":"record","created_at":"2026-05-17T23:50:48Z","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":"065a365fb28785033be29dfb1dd2c3a6a99b613094b04ce789b69c919bc23891","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-03-20T09:47:22Z","title_canon_sha256":"db5979f4ce32a1bf3febbe079cd958467fb5f50e03035461681843116f4ced32"},"schema_version":"1.0","source":{"id":"1903.08408","kind":"arxiv","version":1}},"canonical_sha256":"c508828d11322b1e0af315a7269a02f4d94b1b479d651454ed55ec3dbefc34df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c508828d11322b1e0af315a7269a02f4d94b1b479d651454ed55ec3dbefc34df","first_computed_at":"2026-05-17T23:50:48.181757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:48.181757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bJcFm4WaQnFWaIAq5Rie1uimQWweNHTH4GIJKexuI9xttXILgT8ItWUfh5irAw6WrfNTNIb9QPARak9pQ6arDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:48.182505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.08408","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2825c2976892092fb39fa752251cc0b5bedbdd85103ffc87cf31e74851a1f8b5","sha256:4e95cf3f65959a3036f3b2ad464f689c36be8c658372c4bb554fb70ff48b3968"],"state_sha256":"b0e809a2a03d322e947dcc9e010637a9e1eb1d34e78549219e6597df075f089e"}