{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2J2OWOKEJAUZXGJBVQ5KPEHDBA","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":"c3e1965205ab402cea724590b42368d6ffc46cad6231c575e40a8a782f90eb33","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-04T22:53:38Z","title_canon_sha256":"83bf4fbe246c1534b186800e669091d05eacc159a0a1ad265082a83e0c5757ff"},"schema_version":"1.0","source":{"id":"2509.04694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04694","created_at":"2026-07-05T12:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04694v1","created_at":"2026-07-05T12:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04694","created_at":"2026-07-05T12:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"2J2OWOKEJAUZ","created_at":"2026-07-05T12:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"2J2OWOKEJAUZXGJB","created_at":"2026-07-05T12:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"2J2OWOKE","created_at":"2026-07-05T12:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:df0ace01bf77e025c585cd8cbb85f385ab2f2fc1cc92b3bebac74fdd91cbf394","target":"graph","created_at":"2026-07-05T12:05:27Z","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/2509.04694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the challenge of jointly modeling user intent diversity and behavioral uncertainty in recommender systems. A unified representation learning framework is proposed. The framework builds a multi-intent representation module and an uncertainty modeling mechanism. It extracts multi-granularity interest structures from user behavior sequences. Behavioral ambiguity and preference fluctuation are captured using Bayesian distribution modeling. In the multi-intent modeling part, the model introduces multiple latent intent vectors. These vectors are weighted and fused using an atten","authors_text":"Jiasen Zheng, Junjiang Lin, Junliang Du, Mingxuan Han, Wei Xu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-04T22:53:38Z","title":"Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04694","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:ffeb79b3a3a1df1ef074b8ce9742bfa29c9406e4de3c8e1662ff7f8164cf5d7e","target":"record","created_at":"2026-07-05T12:05:27Z","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":"c3e1965205ab402cea724590b42368d6ffc46cad6231c575e40a8a782f90eb33","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-04T22:53:38Z","title_canon_sha256":"83bf4fbe246c1534b186800e669091d05eacc159a0a1ad265082a83e0c5757ff"},"schema_version":"1.0","source":{"id":"2509.04694","kind":"arxiv","version":1}},"canonical_sha256":"d274eb394448299b9921ac3aa790e30819caf2e432c6c82dbdd0921b23696b07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d274eb394448299b9921ac3aa790e30819caf2e432c6c82dbdd0921b23696b07","first_computed_at":"2026-07-05T12:05:27.774855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:27.774855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oi+jD6LLNbQ5fe1RKKuEOPv4lTrGNBhL1nfrs8wIc5AW/9sj5kmNPz5ivzJDoK4mXBEcpkRqti7wPEmbXTFcBw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:27.775326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffeb79b3a3a1df1ef074b8ce9742bfa29c9406e4de3c8e1662ff7f8164cf5d7e","sha256:df0ace01bf77e025c585cd8cbb85f385ab2f2fc1cc92b3bebac74fdd91cbf394"],"state_sha256":"cf04efc8372e8f5e8ee72e1bfd3bbe9f3ef2bb065271870c6df87862da6a679f"}