{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KHMDEYHIT6CET4MF6KZB2G5DAT","short_pith_number":"pith:KHMDEYHI","canonical_record":{"source":{"id":"2506.06239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-06T17:00:20Z","cross_cats_sorted":[],"title_canon_sha256":"2f1153a673e3a38381606f858b3ce1d55ee5399f0bac14bb5dc70656ec490d63","abstract_canon_sha256":"de2c7e1905d63b455a720faf4d58f8860a05fbfd68f97769835a8ccb9460f0a3"},"schema_version":"1.0"},"canonical_sha256":"51d83260e89f8449f185f2b21d1ba304dd51e4c32904f594f0cd2613e75c56fc","source":{"kind":"arxiv","id":"2506.06239","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06239","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06239v1","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06239","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"KHMDEYHIT6CE","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_16","alias_value":"KHMDEYHIT6CET4MF","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_8","alias_value":"KHMDEYHI","created_at":"2026-07-05T11:17:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KHMDEYHIT6CET4MF6KZB2G5DAT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.06239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-06T17:00:20Z","cross_cats_sorted":[],"title_canon_sha256":"2f1153a673e3a38381606f858b3ce1d55ee5399f0bac14bb5dc70656ec490d63","abstract_canon_sha256":"de2c7e1905d63b455a720faf4d58f8860a05fbfd68f97769835a8ccb9460f0a3"},"schema_version":"1.0"},"canonical_sha256":"51d83260e89f8449f185f2b21d1ba304dd51e4c32904f594f0cd2613e75c56fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:27.889209Z","signature_b64":"CANReeTznlnqtMc+Sue6qHW9ZeOEpiEHEN18/EWEnPWqr4Oe2YN7ZDjWgHlcz8Eb0WHk4C9XRJyBykQW71t1BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51d83260e89f8449f185f2b21d1ba304dd51e4c32904f594f0cd2613e75c56fc","last_reissued_at":"2026-07-05T11:17:27.888760Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:27.888760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.06239","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rL45LmavJgKsA9mtcKOHP0s0PaHIbut2h8Kpy9pGdzpM1xA21h3wCwWqzh0IqPh7ntTJ9Qbh3n6qokTuttnKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:31:29.174664Z"},"content_sha256":"3d0da23394596a88cd00d301d165d37bdac1e09166fe586ee6f43e89a5c430c9","schema_version":"1.0","event_id":"sha256:3d0da23394596a88cd00d301d165d37bdac1e09166fe586ee6f43e89a5c430c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KHMDEYHIT6CET4MF6KZB2G5DAT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Aashu Singh, Feng Zhang, Hanchao Yu, Jiang Zhang, Min Li, Qifan Wang, Sumit Kumar, Wei Chang, Weize Mao, Yubo Wang","submitted_at":"2025-06-06T17:00:20Z","abstract_excerpt":"The task of item-to-item (I2I) retrieval is to identify a set of relevant and highly engaging items based on a given trigger item. It is a crucial component in modern recommendation systems, where users' previously engaged items serve as trigger items to retrieve relevant content for future engagement. However, existing I2I retrieval models in industry are primarily built on co-engagement data and optimized using the recall measure, which overly emphasizes co-engagement patterns while failing to capture semantic relevance. This often leads to overfitting short-term co-engagement trends at the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06239","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/2506.06239/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+R/M69lk8YOWmjkutlngzxmug9lWRRsSwXTtwKZNTLUzgY52gGVCyP4OzC+GzPeNl+/+yR42fbQ/A4gl9s0UBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:31:29.175169Z"},"content_sha256":"afca52eb5af847e4ebb671f4cd1cbeccfe740e924fc486ea8a9701a94df07ad8","schema_version":"1.0","event_id":"sha256:afca52eb5af847e4ebb671f4cd1cbeccfe740e924fc486ea8a9701a94df07ad8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/bundle.json","state_url":"https://pith.science/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T23:31:29Z","links":{"resolver":"https://pith.science/pith/KHMDEYHIT6CET4MF6KZB2G5DAT","bundle":"https://pith.science/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/bundle.json","state":"https://pith.science/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KHMDEYHIT6CET4MF6KZB2G5DAT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KHMDEYHIT6CET4MF6KZB2G5DAT","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":"de2c7e1905d63b455a720faf4d58f8860a05fbfd68f97769835a8ccb9460f0a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-06T17:00:20Z","title_canon_sha256":"2f1153a673e3a38381606f858b3ce1d55ee5399f0bac14bb5dc70656ec490d63"},"schema_version":"1.0","source":{"id":"2506.06239","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06239","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06239v1","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06239","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"KHMDEYHIT6CE","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_16","alias_value":"KHMDEYHIT6CET4MF","created_at":"2026-07-05T11:17:27Z"},{"alias_kind":"pith_short_8","alias_value":"KHMDEYHI","created_at":"2026-07-05T11:17:27Z"}],"graph_snapshots":[{"event_id":"sha256:afca52eb5af847e4ebb671f4cd1cbeccfe740e924fc486ea8a9701a94df07ad8","target":"graph","created_at":"2026-07-05T11:17:27Z","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/2506.06239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The task of item-to-item (I2I) retrieval is to identify a set of relevant and highly engaging items based on a given trigger item. It is a crucial component in modern recommendation systems, where users' previously engaged items serve as trigger items to retrieve relevant content for future engagement. However, existing I2I retrieval models in industry are primarily built on co-engagement data and optimized using the recall measure, which overly emphasizes co-engagement patterns while failing to capture semantic relevance. This often leads to overfitting short-term co-engagement trends at the ","authors_text":"Aashu Singh, Feng Zhang, Hanchao Yu, Jiang Zhang, Min Li, Qifan Wang, Sumit Kumar, Wei Chang, Weize Mao, Yubo Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-06T17:00:20Z","title":"Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06239","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":"sha256:3d0da23394596a88cd00d301d165d37bdac1e09166fe586ee6f43e89a5c430c9","target":"record","created_at":"2026-07-05T11:17:27Z","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":"de2c7e1905d63b455a720faf4d58f8860a05fbfd68f97769835a8ccb9460f0a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-06-06T17:00:20Z","title_canon_sha256":"2f1153a673e3a38381606f858b3ce1d55ee5399f0bac14bb5dc70656ec490d63"},"schema_version":"1.0","source":{"id":"2506.06239","kind":"arxiv","version":1}},"canonical_sha256":"51d83260e89f8449f185f2b21d1ba304dd51e4c32904f594f0cd2613e75c56fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51d83260e89f8449f185f2b21d1ba304dd51e4c32904f594f0cd2613e75c56fc","first_computed_at":"2026-07-05T11:17:27.888760Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:27.888760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CANReeTznlnqtMc+Sue6qHW9ZeOEpiEHEN18/EWEnPWqr4Oe2YN7ZDjWgHlcz8Eb0WHk4C9XRJyBykQW71t1BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:27.889209Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06239","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d0da23394596a88cd00d301d165d37bdac1e09166fe586ee6f43e89a5c430c9","sha256:afca52eb5af847e4ebb671f4cd1cbeccfe740e924fc486ea8a9701a94df07ad8"],"state_sha256":"cb2944238e5c9599f6fc74591b446ae4e181ec51c052f4e40e099f31f784a443"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4+nwueKPtZBbFxsfbCGXoyxT/Uf6yy0pO7ZMu+eV+V0HagM5Ez3E6fzSwbL+VSqwiLZjKTV7VzMZs0fjJLXyDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:31:29.180824Z","bundle_sha256":"339ef4b3730f2ccb11f2a41522e2ba802fda4c180cc4bf1cdb0e6e345f9ce249"}}