{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:EXYUSSJGPNH3H7YBKP4JVQKMUB","short_pith_number":"pith:EXYUSSJG","schema_version":"1.0","canonical_sha256":"25f14949267b4fb3ff0153f89ac14ca074f8368518048649b39db6b115871b1f","source":{"kind":"arxiv","id":"2507.09423","version":1},"attestation_state":"computed","paper":{"title":"Item-centric Exploration for Cold Start Problem","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Arnab Bhadury, Dong Wang, Junyi Jiao, Mingyan Gao, Onkar Dalal, Yaping Zhang","submitted_at":"2025-07-12T23:22:23Z","abstract_excerpt":"Recommender systems face a critical challenge in the item cold-start problem, which limits content diversity and exacerbates popularity bias by struggling to recommend new items. While existing solutions often rely on auxiliary data, but this paper illuminates a distinct, yet equally pressing, issue stemming from the inherent user-centricity of many recommender systems. We argue that in environments with large and rapidly expanding item inventories, the traditional focus on finding the \"best item for a user\" can inadvertently obscure the ideal audience for nascent content. To counter this, we "},"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":"2507.09423","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-07-12T23:22:23Z","cross_cats_sorted":[],"title_canon_sha256":"46166219bd841ecf450118d59e504dbe7a52781550a7d13270c5129a383901ca","abstract_canon_sha256":"6463b4a2a0456b27bb741e361ac89ecff15be778b95d2d7c9462ee7bd6ec6f9c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:36:08.779719Z","signature_b64":"IZ42oWkVc7lC12PZQj2kctZdU7otgBh1cuhMFiQ+Px2Hv4ku9zrLOp3KW6luxYg1YwyiGVhho+wR5FUxuq7QBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25f14949267b4fb3ff0153f89ac14ca074f8368518048649b39db6b115871b1f","last_reissued_at":"2026-07-05T11:36:08.779265Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:36:08.779265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Item-centric Exploration for Cold Start Problem","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Arnab Bhadury, Dong Wang, Junyi Jiao, Mingyan Gao, Onkar Dalal, Yaping Zhang","submitted_at":"2025-07-12T23:22:23Z","abstract_excerpt":"Recommender systems face a critical challenge in the item cold-start problem, which limits content diversity and exacerbates popularity bias by struggling to recommend new items. While existing solutions often rely on auxiliary data, but this paper illuminates a distinct, yet equally pressing, issue stemming from the inherent user-centricity of many recommender systems. We argue that in environments with large and rapidly expanding item inventories, the traditional focus on finding the \"best item for a user\" can inadvertently obscure the ideal audience for nascent content. To counter this, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09423","kind":"arxiv","version":1},"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/2507.09423/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":"2507.09423","created_at":"2026-07-05T11:36:08.779327+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.09423v1","created_at":"2026-07-05T11:36:08.779327+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09423","created_at":"2026-07-05T11:36:08.779327+00:00"},{"alias_kind":"pith_short_12","alias_value":"EXYUSSJGPNH3","created_at":"2026-07-05T11:36:08.779327+00:00"},{"alias_kind":"pith_short_16","alias_value":"EXYUSSJGPNH3H7YB","created_at":"2026-07-05T11:36:08.779327+00:00"},{"alias_kind":"pith_short_8","alias_value":"EXYUSSJG","created_at":"2026-07-05T11:36:08.779327+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/EXYUSSJGPNH3H7YBKP4JVQKMUB","json":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB.json","graph_json":"https://pith.science/api/pith-number/EXYUSSJGPNH3H7YBKP4JVQKMUB/graph.json","events_json":"https://pith.science/api/pith-number/EXYUSSJGPNH3H7YBKP4JVQKMUB/events.json","paper":"https://pith.science/paper/EXYUSSJG"},"agent_actions":{"view_html":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB","download_json":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB.json","view_paper":"https://pith.science/paper/EXYUSSJG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.09423&json=true","fetch_graph":"https://pith.science/api/pith-number/EXYUSSJGPNH3H7YBKP4JVQKMUB/graph.json","fetch_events":"https://pith.science/api/pith-number/EXYUSSJGPNH3H7YBKP4JVQKMUB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB/action/storage_attestation","attest_author":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB/action/author_attestation","sign_citation":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB/action/citation_signature","submit_replication":"https://pith.science/pith/EXYUSSJGPNH3H7YBKP4JVQKMUB/action/replication_record"}},"created_at":"2026-07-05T11:36:08.779327+00:00","updated_at":"2026-07-05T11:36:08.779327+00:00"}