{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CZ5OXME2PJDDMGR7QFS7BUTC4K","short_pith_number":"pith:CZ5OXME2","canonical_record":{"source":{"id":"2408.00247","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"873043fac02751420bda006264c2f48e1813fcbd05e9159da11597f8cbbaffc9","abstract_canon_sha256":"114d7e200d78ed5a18606cdc40f8ad35ddbb607fb574c4050017ed735f63edb3"},"schema_version":"1.0"},"canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","source":{"kind":"arxiv","id":"2408.00247","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.00247","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"arxiv_version","alias_value":"2408.00247v3","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00247","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_12","alias_value":"CZ5OXME2PJDD","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_16","alias_value":"CZ5OXME2PJDDMGR7","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_8","alias_value":"CZ5OXME2","created_at":"2026-07-05T08:52:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CZ5OXME2PJDDMGR7QFS7BUTC4K","target":"record","payload":{"canonical_record":{"source":{"id":"2408.00247","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"873043fac02751420bda006264c2f48e1813fcbd05e9159da11597f8cbbaffc9","abstract_canon_sha256":"114d7e200d78ed5a18606cdc40f8ad35ddbb607fb574c4050017ed735f63edb3"},"schema_version":"1.0"},"canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:37.578137Z","signature_b64":"e2fU+qESuk0z1xu17MJ5X95Il6TlbmfJrqqUeq0YK1pxJKoW+skZ7JFkzNVigZJi/LnZAmwau+WnlUx+DmNuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","last_reissued_at":"2026-07-05T08:52:37.577663Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:37.577663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.00247","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:52:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VJRxNCdZkbamlyR+x8tR6dU+pFZ/Qt2DEsVZALHZ1cLC52wflivH8d6dx3DoGkjnqUNrP7YJR9qIdaii46avDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:30:12.701019Z"},"content_sha256":"00f8d41229603b96d4602b25dd0301450adbf55bed603afbb0541400cf70b12e","schema_version":"1.0","event_id":"sha256:00f8d41229603b96d4602b25dd0301450adbf55bed603afbb0541400cf70b12e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CZ5OXME2PJDDMGR7QFS7BUTC4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jianhang Huang, Jian Wu, Longbin Li, Wen Chen, Yingcai Ma, Yuliang Yan, Yuning Jiang, Ziyang Wang","submitted_at":"2024-08-01T02:54:23Z","abstract_excerpt":"In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have started to explore the use of multi-scenario information for recommendations, such as model-based and data-based approaches. However, the matching stage faces significant challenges due to the need for ultra-large-scale retrieval and meeting low latency requirements. As a result, the methods applied at this stage (collaborative filtering and two-tower models) are often designed to be lightweight, hindering the full utiliz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00247","kind":"arxiv","version":3},"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/2408.00247/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":"2026-07-05T08:52:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WM4KZTDzEO9D/tVQsymtrXUP1ICj7QN5Fa2mjCUnb1YpOwyzP18S/w40PfRJEQ2l8arpRADJgv98XP3slsQ9DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:30:12.701404Z"},"content_sha256":"15d6857c67166f4dcccf5dc1ed72f6beb524312e21ca8efaba9a5f061d22df23","schema_version":"1.0","event_id":"sha256:15d6857c67166f4dcccf5dc1ed72f6beb524312e21ca8efaba9a5f061d22df23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/bundle.json","state_url":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/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":"2026-07-06T10:30:12Z","links":{"resolver":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K","bundle":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/bundle.json","state":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CZ5OXME2PJDDMGR7QFS7BUTC4K","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":"114d7e200d78ed5a18606cdc40f8ad35ddbb607fb574c4050017ed735f63edb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","title_canon_sha256":"873043fac02751420bda006264c2f48e1813fcbd05e9159da11597f8cbbaffc9"},"schema_version":"1.0","source":{"id":"2408.00247","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.00247","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"arxiv_version","alias_value":"2408.00247v3","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00247","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_12","alias_value":"CZ5OXME2PJDD","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_16","alias_value":"CZ5OXME2PJDDMGR7","created_at":"2026-07-05T08:52:37Z"},{"alias_kind":"pith_short_8","alias_value":"CZ5OXME2","created_at":"2026-07-05T08:52:37Z"}],"graph_snapshots":[{"event_id":"sha256:15d6857c67166f4dcccf5dc1ed72f6beb524312e21ca8efaba9a5f061d22df23","target":"graph","created_at":"2026-07-05T08:52:37Z","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/2408.00247/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have started to explore the use of multi-scenario information for recommendations, such as model-based and data-based approaches. However, the matching stage faces significant challenges due to the need for ultra-large-scale retrieval and meeting low latency requirements. As a result, the methods applied at this stage (collaborative filtering and two-tower models) are often designed to be lightweight, hindering the full utiliz","authors_text":"Jianhang Huang, Jian Wu, Longbin Li, Wen Chen, Yingcai Ma, Yuliang Yan, Yuning Jiang, Ziyang Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","title":"Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00247","kind":"arxiv","version":3},"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":"sha256:00f8d41229603b96d4602b25dd0301450adbf55bed603afbb0541400cf70b12e","target":"record","created_at":"2026-07-05T08:52:37Z","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":"114d7e200d78ed5a18606cdc40f8ad35ddbb607fb574c4050017ed735f63edb3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","title_canon_sha256":"873043fac02751420bda006264c2f48e1813fcbd05e9159da11597f8cbbaffc9"},"schema_version":"1.0","source":{"id":"2408.00247","kind":"arxiv","version":3}},"canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","first_computed_at":"2026-07-05T08:52:37.577663Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:52:37.577663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e2fU+qESuk0z1xu17MJ5X95Il6TlbmfJrqqUeq0YK1pxJKoW+skZ7JFkzNVigZJi/LnZAmwau+WnlUx+DmNuAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:52:37.578137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.00247","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00f8d41229603b96d4602b25dd0301450adbf55bed603afbb0541400cf70b12e","sha256:15d6857c67166f4dcccf5dc1ed72f6beb524312e21ca8efaba9a5f061d22df23"],"state_sha256":"2308d4e5f940e70ea2104e4832b7b99274c6eb3685b705db1eff805effab5dea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DYdwfRQh/jV9lmJaGIKy2MhzNFVAFQWYOIMJr2sXVqAB1XNwkB1A0wq17sfwTLCQTzCsDfUEZHZU0Am46VQLAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T10:30:12.703382Z","bundle_sha256":"9484e9955dc0c7260256ee21c6ba36d4578777bddb24eed9fce3d98f2a5d9773"}}