{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GNZGD6NJR4WAIWAVGCWSM7NHNQ","short_pith_number":"pith:GNZGD6NJ","canonical_record":{"source":{"id":"2402.02718","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-05T04:28:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0bb8a5eb572e2930722b145487fa05662fcec6ccb031b912ff8f29c59991ef6e","abstract_canon_sha256":"ff3572fc4bea9be457a9f1513c6b89baf8023b8c5f770c128d530e44ab6a658a"},"schema_version":"1.0"},"canonical_sha256":"337261f9a98f2c04581530ad267da76c00b7e098f301fd550c2c8343a1c5a1a0","source":{"kind":"arxiv","id":"2402.02718","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02718","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02718v1","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02718","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_12","alias_value":"GNZGD6NJR4WA","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_16","alias_value":"GNZGD6NJR4WAIWAV","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_8","alias_value":"GNZGD6NJ","created_at":"2026-07-05T07:41:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GNZGD6NJR4WAIWAVGCWSM7NHNQ","target":"record","payload":{"canonical_record":{"source":{"id":"2402.02718","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-05T04:28:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0bb8a5eb572e2930722b145487fa05662fcec6ccb031b912ff8f29c59991ef6e","abstract_canon_sha256":"ff3572fc4bea9be457a9f1513c6b89baf8023b8c5f770c128d530e44ab6a658a"},"schema_version":"1.0"},"canonical_sha256":"337261f9a98f2c04581530ad267da76c00b7e098f301fd550c2c8343a1c5a1a0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:41:17.538365Z","signature_b64":"Z9FGPFFRdNjoBxgszODJVP2qTNBPeiIbmrQC3e35M7vhqPHVs30DGVP4dsTGo6vV8/Ud/vdVZRvr4FL78XvIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"337261f9a98f2c04581530ad267da76c00b7e098f301fd550c2c8343a1c5a1a0","last_reissued_at":"2026-07-05T07:41:17.537956Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:41:17.537956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.02718","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":"2026-07-05T07:41:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ivu6HkhsLgtL9nb/iV5qZ5/7WbPFazDry5/IiMDsfZ1ngC17eWF+qzur6KbHnvQxKi//ij+Ea7+T+4WpTejDBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:32:03.623801Z"},"content_sha256":"b5c521d362c055b49c62b389d315a173db56a8bfa0dcfa17078bdebdf204b328","schema_version":"1.0","event_id":"sha256:b5c521d362c055b49c62b389d315a173db56a8bfa0dcfa17078bdebdf204b328"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GNZGD6NJR4WAIWAVGCWSM7NHNQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Denoising Time Cycle Modeling for Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Kaiming Shen, Qunwei Li, Shaohu Chen, Sicong Xie, Weidi Xu, Wenliang Zhong","submitted_at":"2024-02-05T04:28:08Z","abstract_excerpt":"Recently, modeling temporal patterns of user-item interactions have attracted much attention in recommender systems. We argue that existing methods ignore the variety of temporal patterns of user behaviors. We define the subset of user behaviors that are irrelevant to the target item as noises, which limits the performance of target-related time cycle modeling and affect the recommendation performance. In this paper, we propose Denoising Time Cycle Modeling (DiCycle), a novel approach to denoise user behaviors and select the subset of user behaviors that are highly related to the target item. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02718","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/2402.02718/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":"2026-07-05T07:41:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWQUZJY4lcaSZmDwW51hyxmRw2WoihHdxw9zYEaPBuD6g9ltXcc60Dzvr31qb2WGssSu6C0+c/+UbKz+n0cWCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:32:03.624172Z"},"content_sha256":"444c76a0d668e0b7cbf834e65e4da8e08ada765bdbc10421e326fa8e982b1cda","schema_version":"1.0","event_id":"sha256:444c76a0d668e0b7cbf834e65e4da8e08ada765bdbc10421e326fa8e982b1cda"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/bundle.json","state_url":"https://pith.science/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/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":"2026-07-06T23:32:03Z","links":{"resolver":"https://pith.science/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ","bundle":"https://pith.science/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/bundle.json","state":"https://pith.science/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GNZGD6NJR4WAIWAVGCWSM7NHNQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GNZGD6NJR4WAIWAVGCWSM7NHNQ","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":"ff3572fc4bea9be457a9f1513c6b89baf8023b8c5f770c128d530e44ab6a658a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-05T04:28:08Z","title_canon_sha256":"0bb8a5eb572e2930722b145487fa05662fcec6ccb031b912ff8f29c59991ef6e"},"schema_version":"1.0","source":{"id":"2402.02718","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02718","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02718v1","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02718","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_12","alias_value":"GNZGD6NJR4WA","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_16","alias_value":"GNZGD6NJR4WAIWAV","created_at":"2026-07-05T07:41:17Z"},{"alias_kind":"pith_short_8","alias_value":"GNZGD6NJ","created_at":"2026-07-05T07:41:17Z"}],"graph_snapshots":[{"event_id":"sha256:444c76a0d668e0b7cbf834e65e4da8e08ada765bdbc10421e326fa8e982b1cda","target":"graph","created_at":"2026-07-05T07:41:17Z","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/2402.02718/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, modeling temporal patterns of user-item interactions have attracted much attention in recommender systems. We argue that existing methods ignore the variety of temporal patterns of user behaviors. We define the subset of user behaviors that are irrelevant to the target item as noises, which limits the performance of target-related time cycle modeling and affect the recommendation performance. In this paper, we propose Denoising Time Cycle Modeling (DiCycle), a novel approach to denoise user behaviors and select the subset of user behaviors that are highly related to the target item. ","authors_text":"Kaiming Shen, Qunwei Li, Shaohu Chen, Sicong Xie, Weidi Xu, Wenliang Zhong","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-05T04:28:08Z","title":"Denoising Time Cycle Modeling for Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02718","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:b5c521d362c055b49c62b389d315a173db56a8bfa0dcfa17078bdebdf204b328","target":"record","created_at":"2026-07-05T07:41:17Z","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":"ff3572fc4bea9be457a9f1513c6b89baf8023b8c5f770c128d530e44ab6a658a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-02-05T04:28:08Z","title_canon_sha256":"0bb8a5eb572e2930722b145487fa05662fcec6ccb031b912ff8f29c59991ef6e"},"schema_version":"1.0","source":{"id":"2402.02718","kind":"arxiv","version":1}},"canonical_sha256":"337261f9a98f2c04581530ad267da76c00b7e098f301fd550c2c8343a1c5a1a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"337261f9a98f2c04581530ad267da76c00b7e098f301fd550c2c8343a1c5a1a0","first_computed_at":"2026-07-05T07:41:17.537956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:41:17.537956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z9FGPFFRdNjoBxgszODJVP2qTNBPeiIbmrQC3e35M7vhqPHVs30DGVP4dsTGo6vV8/Ud/vdVZRvr4FL78XvIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:41:17.538365Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.02718","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5c521d362c055b49c62b389d315a173db56a8bfa0dcfa17078bdebdf204b328","sha256:444c76a0d668e0b7cbf834e65e4da8e08ada765bdbc10421e326fa8e982b1cda"],"state_sha256":"1d4a5c6738f77c5f68df6e442840f66c65bc68cfe2ab66954cbb0aa5e5f72858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YawzlTZrIiG2maz6Quw4itD6Q7c0GG35sv2sYmi3KZYpaS69tNjUDAVUmnuWZHBu7mppxHPw6Fqt1w1has4WBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:32:03.626749Z","bundle_sha256":"f9736829165599199fe4efa1297ee33abb1740cc3ca940ad4a25f5455e547022"}}