{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CY3NQ3YVXVCLKCIOCBXP3WYWUE","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":"ce8e6629ad17dfb0f490116cd8da31f051c8185c6853069278eea2d409742dbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-27T07:28:56Z","title_canon_sha256":"ad61bcdcf13a90e065e4994e9ef485e6749016ac49fbb53f9a41b1e41aa7080f"},"schema_version":"1.0","source":{"id":"2607.24092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24092","created_at":"2026-07-28T01:23:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24092v1","created_at":"2026-07-28T01:23:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24092","created_at":"2026-07-28T01:23:44Z"},{"alias_kind":"pith_short_12","alias_value":"CY3NQ3YVXVCL","created_at":"2026-07-28T01:23:44Z"},{"alias_kind":"pith_short_16","alias_value":"CY3NQ3YVXVCLKCIO","created_at":"2026-07-28T01:23:44Z"},{"alias_kind":"pith_short_8","alias_value":"CY3NQ3YV","created_at":"2026-07-28T01:23:44Z"}],"graph_snapshots":[{"event_id":"sha256:0ff5c058cff1db573f7291bbf0ad58c5353c8f40ec7068b156cec5d0a069b01d","target":"graph","created_at":"2026-07-28T01:23:44Z","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/2607.24092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industry recommender systems trained on observational data suffer from various biases that create filter bubbles, causing user interests to collapse into narrow categories and severely degrading long-term engagement. While utilizing unbiased uniform data for debiasing has shown promise, existing methods remain impractical for industrial deployment due to limitations such as neglect of factual (biased) recommendation performance and the substantial computational overhead. To overcome these limitations, we propose ConAlign (Conditional Alignment Framework), a conditional debiasing approach for i","authors_text":"Jingcheng Zhang, Liyin Hong, Qi Song, Yihan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-27T07:28:56Z","title":"ConAlign: Conditional Alignment Framework for Balancing Biased and Unbiased Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24092","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":"sha256:2eb3243078cc2ff6b30be0ce5acd23bfc029d33da863dc4c6a81b19fadd51b1a","target":"record","created_at":"2026-07-28T01:23:44Z","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":"ce8e6629ad17dfb0f490116cd8da31f051c8185c6853069278eea2d409742dbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-27T07:28:56Z","title_canon_sha256":"ad61bcdcf13a90e065e4994e9ef485e6749016ac49fbb53f9a41b1e41aa7080f"},"schema_version":"1.0","source":{"id":"2607.24092","kind":"arxiv","version":1}},"canonical_sha256":"1636d86f15bd44b5090e106efddb16a1205317e90bdd13d2d5a2fea610cdf0e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1636d86f15bd44b5090e106efddb16a1205317e90bdd13d2d5a2fea610cdf0e0","first_computed_at":"2026-07-28T01:23:44.790703Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:44.790703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ArVPKRMLdk02fA/Ex8mJ1LoW66Vip6PHTzJmiuaAowo9+BKNJ9PLod0YyJJqfSxNDC17TVd73GIUUX8VRyQQDw==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:44.791591Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2eb3243078cc2ff6b30be0ce5acd23bfc029d33da863dc4c6a81b19fadd51b1a","sha256:0ff5c058cff1db573f7291bbf0ad58c5353c8f40ec7068b156cec5d0a069b01d"],"state_sha256":"063b8bc2ba5f3b39943c4d07ec22c95130457def6e98f4b02320f0b9eed5ad2d"}