{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PZ7VXQ4G667BIBNSNRJZROPYNT","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":"8fc52d8e64a90037b991e4314760702e717f7a8ace979ef0fded70858099081a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-07-22T07:20:52Z","title_canon_sha256":"0b1d5d0829bfcd0d562b2a2ca958fe54f45533e544791ac43a9dbe4e11216b5d"},"schema_version":"1.0","source":{"id":"2507.16289","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16289","created_at":"2026-07-05T11:50:38Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16289v1","created_at":"2026-07-05T11:50:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16289","created_at":"2026-07-05T11:50:38Z"},{"alias_kind":"pith_short_12","alias_value":"PZ7VXQ4G667B","created_at":"2026-07-05T11:50:38Z"},{"alias_kind":"pith_short_16","alias_value":"PZ7VXQ4G667BIBNS","created_at":"2026-07-05T11:50:38Z"},{"alias_kind":"pith_short_8","alias_value":"PZ7VXQ4G","created_at":"2026-07-05T11:50:38Z"}],"graph_snapshots":[{"event_id":"sha256:3c9cdb5a4e72238c550b0c39faab17c55cbd20fa82f01f146dc49410d8743fe6","target":"graph","created_at":"2026-07-05T11:50:38Z","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/2507.16289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern sequential recommender systems, ranging from lightweight transformer-based variants to large language models, have become increasingly prominent in academia and industry due to their strong performance in the next-item prediction task. Yet common evaluation protocols for sequential recommendations remain insufficiently developed: they often fail to reflect the corresponding recommendation task accurately, or are not aligned with real-world scenarios.\n  Although the widely used leave-one-out split matches next-item prediction, it permits the overlap between training and test periods, whi","authors_text":"Alexey Vasilev, Anna Volodkevich, Anton Klenitskiy, Danil Gusak, Evgeny Frolov","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-07-22T07:20:52Z","title":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16289","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":"sha256:7c8b4e8c9bf70e75c24f98774354f5889784a64dd5deab882deabc9bd503aa1c","target":"record","created_at":"2026-07-05T11:50:38Z","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":"8fc52d8e64a90037b991e4314760702e717f7a8ace979ef0fded70858099081a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-07-22T07:20:52Z","title_canon_sha256":"0b1d5d0829bfcd0d562b2a2ca958fe54f45533e544791ac43a9dbe4e11216b5d"},"schema_version":"1.0","source":{"id":"2507.16289","kind":"arxiv","version":1}},"canonical_sha256":"7e7f5bc386f7be1405b26c5398b9f86cf4cb7a7ba743eea003c7a731b0e1c62c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e7f5bc386f7be1405b26c5398b9f86cf4cb7a7ba743eea003c7a731b0e1c62c","first_computed_at":"2026-07-05T11:50:38.684073Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:38.684073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/iwm4tnBIQGdcrr0ShlWL7N2NO0w+f+yiN7zd+HFuOE31wtnkl7isISAIaO8IaqZaE13n5uA0zRxQeICiw3rDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:38.684771Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16289","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c8b4e8c9bf70e75c24f98774354f5889784a64dd5deab882deabc9bd503aa1c","sha256:3c9cdb5a4e72238c550b0c39faab17c55cbd20fa82f01f146dc49410d8743fe6"],"state_sha256":"13a14e7dc0fe715d44ba8472c6108d2844f8939ae274ea0d20d63dcd62d7d2fd"}