{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:KZUA56XT2UZL2HZ5YA733ZEHZG","short_pith_number":"pith:KZUA56XT","schema_version":"1.0","canonical_sha256":"56680efaf3d532bd1f3dc03fbde487c9b8ce88064eb808add81836b134b3a570","source":{"kind":"arxiv","id":"2511.08378","version":4},"attestation_state":"computed","paper":{"title":"Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Dongyang Zhang, Ke Qin, Shuang Liang, Xiao Wang, Xiurui Xie","submitted_at":"2025-11-11T16:00:58Z","abstract_excerpt":"Session-based recommendation (SBR) aims to predict anonymous users' next interaction based on their interaction sessions. In the practical recommendation scenario, low-exposure items constitute the majority of interactions, creating a long-tail distribution that severely compromises recommendation diversity. Existing approaches attempt to address this issue by promoting tail items but incur accuracy degradation, exhibiting a \"see-saw\" effect between long-tail and accuracy performance. We attribute such conflict to session-irrelevant noise within the tail items, which existing long-tail approac"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2511.08378","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2025-11-11T16:00:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5798b6486a1352c3eebe48900f93332f1f160b341d3ac805dcb614e4c2dba81a","abstract_canon_sha256":"30bdcc2cb5452b5232185e8e5dac99987c72f40f71e2fc3889eb98bc2a158007"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:16.181356Z","signature_b64":"TK+DtbIqj4fIlicOAFy6dmGbjz3Q8uLN42bOhShcwMBj070PR9XizwoteybbaOnNN4xwVoo0x590FpWD79LkCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56680efaf3d532bd1f3dc03fbde487c9b8ce88064eb808add81836b134b3a570","last_reissued_at":"2026-06-19T16:12:16.180921Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:16.180921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Dongyang Zhang, Ke Qin, Shuang Liang, Xiao Wang, Xiurui Xie","submitted_at":"2025-11-11T16:00:58Z","abstract_excerpt":"Session-based recommendation (SBR) aims to predict anonymous users' next interaction based on their interaction sessions. In the practical recommendation scenario, low-exposure items constitute the majority of interactions, creating a long-tail distribution that severely compromises recommendation diversity. Existing approaches attempt to address this issue by promoting tail items but incur accuracy degradation, exhibiting a \"see-saw\" effect between long-tail and accuracy performance. We attribute such conflict to session-irrelevant noise within the tail items, which existing long-tail approac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.08378","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2511.08378/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2511.08378","created_at":"2026-06-19T16:12:16.180977+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.08378v4","created_at":"2026-06-19T16:12:16.180977+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.08378","created_at":"2026-06-19T16:12:16.180977+00:00"},{"alias_kind":"pith_short_12","alias_value":"KZUA56XT2UZL","created_at":"2026-06-19T16:12:16.180977+00:00"},{"alias_kind":"pith_short_16","alias_value":"KZUA56XT2UZL2HZ5","created_at":"2026-06-19T16:12:16.180977+00:00"},{"alias_kind":"pith_short_8","alias_value":"KZUA56XT","created_at":"2026-06-19T16:12:16.180977+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG","json":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG.json","graph_json":"https://pith.science/api/pith-number/KZUA56XT2UZL2HZ5YA733ZEHZG/graph.json","events_json":"https://pith.science/api/pith-number/KZUA56XT2UZL2HZ5YA733ZEHZG/events.json","paper":"https://pith.science/paper/KZUA56XT"},"agent_actions":{"view_html":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG","download_json":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG.json","view_paper":"https://pith.science/paper/KZUA56XT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.08378&json=true","fetch_graph":"https://pith.science/api/pith-number/KZUA56XT2UZL2HZ5YA733ZEHZG/graph.json","fetch_events":"https://pith.science/api/pith-number/KZUA56XT2UZL2HZ5YA733ZEHZG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG/action/storage_attestation","attest_author":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG/action/author_attestation","sign_citation":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG/action/citation_signature","submit_replication":"https://pith.science/pith/KZUA56XT2UZL2HZ5YA733ZEHZG/action/replication_record"}},"created_at":"2026-06-19T16:12:16.180977+00:00","updated_at":"2026-06-19T16:12:16.180977+00:00"}