{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZMIT6SHVNK7N6NIQBWCKLMTZSG","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":"f83d159583f7656e4dc13536858ec13880a86cadfdfef62467fbc0b92d922698","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-04-08T22:15:44Z","title_canon_sha256":"623a5978215971fd42cd8f88a46dce6d5a4c0fb1ec7b5ee7609f14cf6ac7063b"},"schema_version":"1.0","source":{"id":"1904.04381","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04381","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04381v2","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04381","created_at":"2026-05-17T23:48:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZMIT6SHVNK7N","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZMIT6SHVNK7N6NIQ","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZMIT6SHV","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:f4d6a49962ada4cb6b17684edd21ad1a6365bcb69ce16aa9f9a336a78993764d","target":"graph","created_at":"2026-05-17T23:48:48Z","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":"Recommender systems that can learn from cross-session data to dynamically predict the next item a user will choose are crucial for online platforms. However, existing approaches often use out-of-the-box sequence models which are limited by speed and memory consumption, are often infeasible for production environments, and usually do not incorporate cross-session information, which is crucial for effective recommendations. Here we propose Hierarchical Temporal Convolutional Networks (HierTCN), a hierarchical deep learning architecture that makes dynamic recommendations based on users' sequentia","authors_text":"Aditya Pal, Chuck Rosenberg, Jiaxuan You, Jure Leskovec, Pong Eksombatchai, Yichen Wang","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-04-08T22:15:44Z","title":"Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04381","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":"sha256:91d456cda4122673472da8abf71798e913b4ec8c32866327e4f3439b0912c82f","target":"record","created_at":"2026-05-17T23:48:48Z","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":"f83d159583f7656e4dc13536858ec13880a86cadfdfef62467fbc0b92d922698","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-04-08T22:15:44Z","title_canon_sha256":"623a5978215971fd42cd8f88a46dce6d5a4c0fb1ec7b5ee7609f14cf6ac7063b"},"schema_version":"1.0","source":{"id":"1904.04381","kind":"arxiv","version":2}},"canonical_sha256":"cb113f48f56abedf35100d84a5b279918f2e46e64a0770812407e2f5d58b38a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb113f48f56abedf35100d84a5b279918f2e46e64a0770812407e2f5d58b38a2","first_computed_at":"2026-05-17T23:48:48.152782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:48.152782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5AN4fPLLgot6ou1XSpzOxLJXbDHZp4RHHYNI21MYrRU6XS0+TtibH14i6Lecw8Ocf5BNqGGEBnjIKWPUbgUSBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:48.153279Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04381","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91d456cda4122673472da8abf71798e913b4ec8c32866327e4f3439b0912c82f","sha256:f4d6a49962ada4cb6b17684edd21ad1a6365bcb69ce16aa9f9a336a78993764d"],"state_sha256":"7417c52b49b7e4a0a8743e9bd654375484ef98dbcd978e4c99f6bc426718360a"}