{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QE4L5ABCG5BTC5JBHX4EF7KFHY","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":"cfdfe3060fa7a63e75c51e957776e80bd051619871fe5f83525f07fa805e972a","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-03-21T14:23:46Z","title_canon_sha256":"d8114fb58d4526ec9a71ce469a9464ed609bc3f141915a0bf34765b7b22ee1c8"},"schema_version":"1.0","source":{"id":"2303.11879","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.11879","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"2303.11879v2","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.11879","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"QE4L5ABCG5BT","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_16","alias_value":"QE4L5ABCG5BTC5JB","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_8","alias_value":"QE4L5ABC","created_at":"2026-07-05T08:46:50Z"}],"graph_snapshots":[{"event_id":"sha256:329a66c9ab5546abc79a492d3a8341f3f8cde3c20476060f49cb6ac6150dda3a","target":"graph","created_at":"2026-07-05T08:46:50Z","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/2303.11879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current multimodal sequential recommendation models are often unable to effectively explore and capture correlations among behavior sequences of users and items across different modalities, either neglecting correlations among sequence representations or inadequately capturing associations between multimodal data and sequence data in their representations. To address this problem, we explore multimodal pre-training in the context of sequential recommendation, with the aim of enhancing fusion and utilization of multimodal information. We propose a novel Multimodal Pre-training for Sequential Re","authors_text":"Lingzi Zhang, Xin Zhou, Zhiqi Shen, Zhiwei Zeng","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-03-21T14:23:46Z","title":"Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.11879","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":"sha256:21880c9a2f07c753c7943cc4823b5b8838aed5f6b6a40c2bf53cd1d78ef96fe3","target":"record","created_at":"2026-07-05T08:46:50Z","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":"cfdfe3060fa7a63e75c51e957776e80bd051619871fe5f83525f07fa805e972a","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-03-21T14:23:46Z","title_canon_sha256":"d8114fb58d4526ec9a71ce469a9464ed609bc3f141915a0bf34765b7b22ee1c8"},"schema_version":"1.0","source":{"id":"2303.11879","kind":"arxiv","version":2}},"canonical_sha256":"8138be802237433175213df842fd453e2c57b5d5ef648d98812249682f039a09","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8138be802237433175213df842fd453e2c57b5d5ef648d98812249682f039a09","first_computed_at":"2026-07-05T08:46:50.727486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:50.727486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3zeRwMA2TTWvVNHGqmK0Mk9vQbpYCAqsmg0njXf/84Z20B/dQ40YvIZhIY4SBAz7cBeEnGrVO/P8SaHKufIPCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:50.728083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.11879","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21880c9a2f07c753c7943cc4823b5b8838aed5f6b6a40c2bf53cd1d78ef96fe3","sha256:329a66c9ab5546abc79a492d3a8341f3f8cde3c20476060f49cb6ac6150dda3a"],"state_sha256":"4670f96dfc225bb6696c53747c1a711c69060fea7eec5e8e77b60f03db0396bd"}