{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7G2FUCDWZQXSUR74OFYWS54JDL","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":"f69b2590dc0316fb16745a08a8c7c18d38a9041a6cf0b5d73ada44edbc03c83f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-06-04T09:52:41Z","title_canon_sha256":"0a77340e14369cfdecedc9bb85d632dfc7e9df792e7eb87cc25fc30da73278d3"},"schema_version":"1.0","source":{"id":"2406.02163","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02163","created_at":"2026-07-05T08:27:26Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02163v2","created_at":"2026-07-05T08:27:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02163","created_at":"2026-07-05T08:27:26Z"},{"alias_kind":"pith_short_12","alias_value":"7G2FUCDWZQXS","created_at":"2026-07-05T08:27:26Z"},{"alias_kind":"pith_short_16","alias_value":"7G2FUCDWZQXSUR74","created_at":"2026-07-05T08:27:26Z"},{"alias_kind":"pith_short_8","alias_value":"7G2FUCDW","created_at":"2026-07-05T08:27:26Z"}],"graph_snapshots":[{"event_id":"sha256:212b1d2b090d20431e8bfef3875215948a6ca9a54af225a87706287d64a8e350","target":"graph","created_at":"2026-07-05T08:27:26Z","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/2406.02163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-Task Learning (MTL) plays a crucial role in real-world advertising applications such as recommender systems, aiming to achieve robust representations while minimizing resource consumption. MTL endeavors to simultaneously optimize multiple tasks to construct a unified model serving diverse objectives. In online advertising systems, tasks like Click-Through Rate (CTR) and Conversion Rate (CVR) are often treated as MTL problems concurrently. However, it has been overlooked that a conversion ($y_{cvr}=1$) necessitates a preceding click ($y_{ctr}=1$). In other words, while certain CTR tasks a","authors_text":"Furkan Durmus, Hakan Cevikalp, Hasan Saribas, Junyan Yang, Said Aldemir","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-06-04T09:52:41Z","title":"Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02163","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":"sha256:6be991a78f0775535e490b04685b5069789b409cde577744f5b365a1fda2cc2c","target":"record","created_at":"2026-07-05T08:27:26Z","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":"f69b2590dc0316fb16745a08a8c7c18d38a9041a6cf0b5d73ada44edbc03c83f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-06-04T09:52:41Z","title_canon_sha256":"0a77340e14369cfdecedc9bb85d632dfc7e9df792e7eb87cc25fc30da73278d3"},"schema_version":"1.0","source":{"id":"2406.02163","kind":"arxiv","version":2}},"canonical_sha256":"f9b45a0876cc2f2a47fc71716977891ad2eff64b1ff707aee05995060e54c172","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9b45a0876cc2f2a47fc71716977891ad2eff64b1ff707aee05995060e54c172","first_computed_at":"2026-07-05T08:27:26.779486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:26.779486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V06h3/8o2xixNZdRV/C7x90rVSbUh7PTMEAU97oag2b9mPi2BhmX7qV9hJc0CpJ23nRZ1DgHKaiI1Xg2vh1ZDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:26.779960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02163","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6be991a78f0775535e490b04685b5069789b409cde577744f5b365a1fda2cc2c","sha256:212b1d2b090d20431e8bfef3875215948a6ca9a54af225a87706287d64a8e350"],"state_sha256":"3a7057c91341ec7dd712387075010605be1ddbb46c21b96354a7f25e875a56bc"}