{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WKIANFO7BOTPUNRYSZKKBTHRT5","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":"5281aa0a45aaa30ef4582ebfd0c0a4af10876f895956de1b299128867668d406","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-06-11T10:07:26Z","title_canon_sha256":"22516b2fa00c6eb0f80a2c83111ef4a1fe18a62c14205d6b20b99129b104b3af"},"schema_version":"1.0","source":{"id":"1906.04473","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.04473","created_at":"2026-07-05T00:35:44Z"},{"alias_kind":"arxiv_version","alias_value":"1906.04473v4","created_at":"2026-07-05T00:35:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04473","created_at":"2026-07-05T00:35:44Z"},{"alias_kind":"pith_short_12","alias_value":"WKIANFO7BOTP","created_at":"2026-07-05T00:35:44Z"},{"alias_kind":"pith_short_16","alias_value":"WKIANFO7BOTPUNRY","created_at":"2026-07-05T00:35:44Z"},{"alias_kind":"pith_short_8","alias_value":"WKIANFO7","created_at":"2026-07-05T00:35:44Z"}],"graph_snapshots":[{"event_id":"sha256:96936d32c8e3b68f64bac69840dc718a0824863cc90060f00163aa6c213c6739","target":"graph","created_at":"2026-07-05T00:35:44Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1906.04473/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Session-based recommender systems have attracted much attention recently. To capture the sequential dependencies, existing methods resort either to data augmentation techniques or left-to-right style autoregressive training.Since these methods are aimed to model the sequential nature of user behaviors, they ignore the future data of a target interaction when constructing the prediction model for it. However, we argue that the future interactions after a target interaction, which are also available during training, provide valuable signal on user preference and can be used to enhance the recomm","authors_text":"Fajie Yuan, Guibing Guo, Haochuan Jiang, Jian Xiong, Xiangnan He, Yilin Xiong, Zhezhao Xu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-06-11T10:07:26Z","title":"Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04473","kind":"arxiv","version":4},"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:a2054a8fd970c50c5c89473d148a8dc2ef9cd68a028f8ebe9ab961c139d2fb53","target":"record","created_at":"2026-07-05T00:35:44Z","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":"5281aa0a45aaa30ef4582ebfd0c0a4af10876f895956de1b299128867668d406","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-06-11T10:07:26Z","title_canon_sha256":"22516b2fa00c6eb0f80a2c83111ef4a1fe18a62c14205d6b20b99129b104b3af"},"schema_version":"1.0","source":{"id":"1906.04473","kind":"arxiv","version":4}},"canonical_sha256":"b2900695df0ba6fa36389654a0ccf19f69840faf4c435a3812168b9394673835","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2900695df0ba6fa36389654a0ccf19f69840faf4c435a3812168b9394673835","first_computed_at":"2026-07-05T00:35:44.323862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:35:44.323862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/avSTgluIvln4Lrm7z/lXxMYRW1j5QeB1CQzPs+6DdTNki+tnFEKFvG4H5iKUA1u7UyHwm5/XI9cIKlWChxqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:35:44.324311Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.04473","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2054a8fd970c50c5c89473d148a8dc2ef9cd68a028f8ebe9ab961c139d2fb53","sha256:96936d32c8e3b68f64bac69840dc718a0824863cc90060f00163aa6c213c6739"],"state_sha256":"00f01225610716f4907769dfec627dc7196d5441031bb76f5af2bde3f4f056e7"}