{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OXQNM2B3QUARSJ57BQOSAGMEFN","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":"a6211a37e2e8a1f0161d47402ee06b4d0a60dd13184a580146125ff796d816ac","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T10:56:30Z","title_canon_sha256":"c38a113dc9bc1b551f8ff1c043d35122179fce21486573d2e1335bb012d56ed1"},"schema_version":"1.0","source":{"id":"2412.00430","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00430","created_at":"2026-07-05T10:16:39Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00430v6","created_at":"2026-07-05T10:16:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00430","created_at":"2026-07-05T10:16:39Z"},{"alias_kind":"pith_short_12","alias_value":"OXQNM2B3QUAR","created_at":"2026-07-05T10:16:39Z"},{"alias_kind":"pith_short_16","alias_value":"OXQNM2B3QUARSJ57","created_at":"2026-07-05T10:16:39Z"},{"alias_kind":"pith_short_8","alias_value":"OXQNM2B3","created_at":"2026-07-05T10:16:39Z"}],"graph_snapshots":[{"event_id":"sha256:ecfe095609bba53d6bf1449da2c12c86696031630e5e9c5f2dcc4bf9be6835bc","target":"graph","created_at":"2026-07-05T10:16:39Z","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/2412.00430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scaling Laws have emerged as a powerful framework for understanding how model performance evolves as they increase in size, providing valuable insights for optimizing computational resources. In the realm of Sequential Recommendation (SR), which is pivotal for predicting users' sequential preferences, these laws offer a lens through which to address the challenges posed by the scalability of SR models. However, the presence of structural and collaborative issues in recommender systems prevents the direct application of the Scaling Law (SL) in these systems. In response, we introduce the Perfor","authors_text":"Chuhan Wu, Defu Lian, Enhong Chen, Hao Wang, Huifeng Guo, Jin Yao Chin, Ruiming Tang, Tingjia Shen, Wei Guo, Yong Liu","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T10:56:30Z","title":"Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00430","kind":"arxiv","version":6},"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":"sha256:3e967fdb991d113f4e36d18ab7228326ce0bb2cd60d9cbe549eb5b22c8ad0b7c","target":"record","created_at":"2026-07-05T10:16:39Z","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":"a6211a37e2e8a1f0161d47402ee06b4d0a60dd13184a580146125ff796d816ac","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T10:56:30Z","title_canon_sha256":"c38a113dc9bc1b551f8ff1c043d35122179fce21486573d2e1335bb012d56ed1"},"schema_version":"1.0","source":{"id":"2412.00430","kind":"arxiv","version":6}},"canonical_sha256":"75e0d6683b85011927bf0c1d2019842b7d3a52ef8ccdb837854122b76c1e4612","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75e0d6683b85011927bf0c1d2019842b7d3a52ef8ccdb837854122b76c1e4612","first_computed_at":"2026-07-05T10:16:39.772036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:16:39.772036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z8IfUi5s8ggdgALkdBzdNNQyDF+IBrHXjaMwUeKRDLPf0l19ueJalzakN8dr/Q4NB73GYveT/UYclD3fC2wjAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:16:39.772601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00430","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e967fdb991d113f4e36d18ab7228326ce0bb2cd60d9cbe549eb5b22c8ad0b7c","sha256:ecfe095609bba53d6bf1449da2c12c86696031630e5e9c5f2dcc4bf9be6835bc"],"state_sha256":"c0b33a3f06f41a5c00fdace2d40c376c104a06d61d2c5bdf7a877ced839f0280"}