{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7V4SAHBLM7CSQS347XC4373UKB","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":"403dbdcde20e4a93fa725fc83f26c24ca9c86b49fa0bcf3f82c4e2a2472aff1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-06-15T01:51:06Z","title_canon_sha256":"c0d7c849691a86752128b6ee08ed82ac2078da339298ef82b6d32d2d3c044e32"},"schema_version":"1.0","source":{"id":"2306.08808","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.08808","created_at":"2026-07-05T07:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2306.08808v3","created_at":"2026-07-05T07:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.08808","created_at":"2026-07-05T07:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"7V4SAHBLM7CS","created_at":"2026-07-05T07:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"7V4SAHBLM7CSQS34","created_at":"2026-07-05T07:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"7V4SAHBL","created_at":"2026-07-05T07:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:e05637809e445fea05255e0137085c78926ff823b8eff20de70bc0be369404ff","target":"graph","created_at":"2026-07-05T07:18:27Z","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/2306.08808/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial recommender systems face the challenge of operating in non-stationary environments, where data distribution shifts arise from evolving user behaviors over time. To tackle this challenge, a common approach is to periodically re-train or incrementally update deployed deep models with newly observed data, resulting in a continual training process. However, the conventional learning paradigm of neural networks relies on iterative gradient-based updates with a small learning rate, making it slow for large recommendation models to adapt. In this paper, we introduce ReLoop2, a self-correct","authors_text":"Guohao Cai, Jieming Zhu, Junjie Huang, Ruiming Tang, Weinan Zhang, Zhenhua Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-06-15T01:51:06Z","title":"ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.08808","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":"sha256:8ce612b38a08864cb6e4b43b68d689f962eee0aa4c84abc09a11097d73e651d1","target":"record","created_at":"2026-07-05T07:18:27Z","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":"403dbdcde20e4a93fa725fc83f26c24ca9c86b49fa0bcf3f82c4e2a2472aff1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-06-15T01:51:06Z","title_canon_sha256":"c0d7c849691a86752128b6ee08ed82ac2078da339298ef82b6d32d2d3c044e32"},"schema_version":"1.0","source":{"id":"2306.08808","kind":"arxiv","version":3}},"canonical_sha256":"fd79201c2b67c5284b7cfdc5cdff74504cd96d0b325b71abfcc82bf557b38860","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd79201c2b67c5284b7cfdc5cdff74504cd96d0b325b71abfcc82bf557b38860","first_computed_at":"2026-07-05T07:18:27.723130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:27.723130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UN72vwFB9VeM4M1JxIBWwu6JCGgK2Z0C3XxJOo6Xdsy18zgeGOKRpkE8vcrmxrNjDtFdeDxBsKE8HdisfvULDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:27.723595Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.08808","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ce612b38a08864cb6e4b43b68d689f962eee0aa4c84abc09a11097d73e651d1","sha256:e05637809e445fea05255e0137085c78926ff823b8eff20de70bc0be369404ff"],"state_sha256":"73b445048ed7a41c3a0b090f2e879147b7e4c54ad26e62ef85db9bc587fbe5fa"}