{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3W3XO7B6JYUIEXT4DIBQBZIJYO","short_pith_number":"pith:3W3XO7B6","canonical_record":{"source":{"id":"2410.16080","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-21T14:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"eb40d9a3116ea8b273c56f4dc5c4edea163548dd64ba6774faedf8d8d39dd6dc","abstract_canon_sha256":"f2c38ec74f444f2ab9bd8725195b8a7b5f08079827611a4aaa17aa90d6bc5ceb"},"schema_version":"1.0"},"canonical_sha256":"ddb7777c3e4e28825e7c1a0300e509c3868f169a96f897d23b7ee444a7e76eda","source":{"kind":"arxiv","id":"2410.16080","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16080","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16080v1","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16080","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"3W3XO7B6JYUI","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"3W3XO7B6JYUIEXT4","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"3W3XO7B6","created_at":"2026-07-05T09:23:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3W3XO7B6JYUIEXT4DIBQBZIJYO","target":"record","payload":{"canonical_record":{"source":{"id":"2410.16080","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-21T14:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"eb40d9a3116ea8b273c56f4dc5c4edea163548dd64ba6774faedf8d8d39dd6dc","abstract_canon_sha256":"f2c38ec74f444f2ab9bd8725195b8a7b5f08079827611a4aaa17aa90d6bc5ceb"},"schema_version":"1.0"},"canonical_sha256":"ddb7777c3e4e28825e7c1a0300e509c3868f169a96f897d23b7ee444a7e76eda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:23:28.993058Z","signature_b64":"N0bX/ihhtiX/9+Ka5OZ5NlPtO1Ybasu4qpKRFwm/f9eztsikH0Va7fPPKi1U3uowIKMTBfICDAb2kKS1Hy/jDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ddb7777c3e4e28825e7c1a0300e509c3868f169a96f897d23b7ee444a7e76eda","last_reissued_at":"2026-07-05T09:23:28.992513Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:23:28.992513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.16080","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":"2026-07-05T09:23:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p0XI13zaeuuZXVMsAeBRKV3A+TlkHOIbULG3UPyKUU5EeGTH24k0TixOowVzFK0kzmcjIxInx1tBfEgPZAgAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:29:42.326252Z"},"content_sha256":"6d9b178965f19065115e7dd5abaa945ef2e9991a3bb84437ff018c472837ee14","schema_version":"1.0","event_id":"sha256:6d9b178965f19065115e7dd5abaa945ef2e9991a3bb84437ff018c472837ee14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3W3XO7B6JYUIEXT4DIBQBZIJYO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jianghao Lin, Jiarui Qin, Junjie Huang, Weinan Zhang, Yong Yu, Ziming Feng","submitted_at":"2024-10-21T14:58:38Z","abstract_excerpt":"Recommender systems (RS) are pivotal in managing information overload in modern digital services. A key challenge in RS is efficiently processing vast item pools to deliver highly personalized recommendations under strict latency constraints. Multi-stage cascade ranking addresses this by employing computationally efficient retrieval methods to cover diverse user interests, followed by more precise ranking models to refine the results. In the retrieval stage, multi-channel retrieval is often used to generate distinct item subsets from different candidate generators, leveraging the complementary"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16080","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/2410.16080/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":"2026-07-05T09:23:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M2mbDwiPXEdv/AMinQU7MvBa/P2w/8wNu84CB45nGrn41likmHc8kPRYPMCXd26JXvHZZXTvMlyYC18lb6WoBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:29:42.326636Z"},"content_sha256":"fc1c9598a4088a790c5bf79dac6c3f1b90d5d58053d605387273ebf318554591","schema_version":"1.0","event_id":"sha256:fc1c9598a4088a790c5bf79dac6c3f1b90d5d58053d605387273ebf318554591"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/bundle.json","state_url":"https://pith.science/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/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":"2026-08-06T13:29:42Z","links":{"resolver":"https://pith.science/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO","bundle":"https://pith.science/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/bundle.json","state":"https://pith.science/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3W3XO7B6JYUIEXT4DIBQBZIJYO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3W3XO7B6JYUIEXT4DIBQBZIJYO","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":"f2c38ec74f444f2ab9bd8725195b8a7b5f08079827611a4aaa17aa90d6bc5ceb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-21T14:58:38Z","title_canon_sha256":"eb40d9a3116ea8b273c56f4dc5c4edea163548dd64ba6774faedf8d8d39dd6dc"},"schema_version":"1.0","source":{"id":"2410.16080","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16080","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16080v1","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16080","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"3W3XO7B6JYUI","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"3W3XO7B6JYUIEXT4","created_at":"2026-07-05T09:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"3W3XO7B6","created_at":"2026-07-05T09:23:28Z"}],"graph_snapshots":[{"event_id":"sha256:fc1c9598a4088a790c5bf79dac6c3f1b90d5d58053d605387273ebf318554591","target":"graph","created_at":"2026-07-05T09:23:28Z","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/2410.16080/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems (RS) are pivotal in managing information overload in modern digital services. A key challenge in RS is efficiently processing vast item pools to deliver highly personalized recommendations under strict latency constraints. Multi-stage cascade ranking addresses this by employing computationally efficient retrieval methods to cover diverse user interests, followed by more precise ranking models to refine the results. In the retrieval stage, multi-channel retrieval is often used to generate distinct item subsets from different candidate generators, leveraging the complementary","authors_text":"Jianghao Lin, Jiarui Qin, Junjie Huang, Weinan Zhang, Yong Yu, Ziming Feng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-21T14:58:38Z","title":"Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16080","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":"sha256:6d9b178965f19065115e7dd5abaa945ef2e9991a3bb84437ff018c472837ee14","target":"record","created_at":"2026-07-05T09:23:28Z","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":"f2c38ec74f444f2ab9bd8725195b8a7b5f08079827611a4aaa17aa90d6bc5ceb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-21T14:58:38Z","title_canon_sha256":"eb40d9a3116ea8b273c56f4dc5c4edea163548dd64ba6774faedf8d8d39dd6dc"},"schema_version":"1.0","source":{"id":"2410.16080","kind":"arxiv","version":1}},"canonical_sha256":"ddb7777c3e4e28825e7c1a0300e509c3868f169a96f897d23b7ee444a7e76eda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddb7777c3e4e28825e7c1a0300e509c3868f169a96f897d23b7ee444a7e76eda","first_computed_at":"2026-07-05T09:23:28.992513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:28.992513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N0bX/ihhtiX/9+Ka5OZ5NlPtO1Ybasu4qpKRFwm/f9eztsikH0Va7fPPKi1U3uowIKMTBfICDAb2kKS1Hy/jDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:28.993058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.16080","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d9b178965f19065115e7dd5abaa945ef2e9991a3bb84437ff018c472837ee14","sha256:fc1c9598a4088a790c5bf79dac6c3f1b90d5d58053d605387273ebf318554591"],"state_sha256":"1f635ce2b520e3d157932fb515226eb2c0a4b62ead9cee3bfd91a4339fc65410"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BVSYN9/PKlgfCsuJmYwNGY6x09xE3+kc/Dk+BxxLVC00yZv9GrbbbbiCta4oput48ZtOX8ArvlZmDyfiZCzdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:29:42.330333Z","bundle_sha256":"b138579b30f3baed986a944633c3534f65eaf54037f7ae6135dd5049731412ef"}}