{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:S3HR767226MODHOCB2B3ZST7E2","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":"ea0a5fa56d526a0cc8c5a99541426a0c243bb15c19662a982169c5e850cd0386","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-28T05:24:56Z","title_canon_sha256":"77aa7a67f88ac8b1643482043e0bbb6ae3b18660999d6989ada99ec7ecd8955a"},"schema_version":"1.0","source":{"id":"2409.19245","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19245","created_at":"2026-07-05T09:19:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19245v2","created_at":"2026-07-05T09:19:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19245","created_at":"2026-07-05T09:19:12Z"},{"alias_kind":"pith_short_12","alias_value":"S3HR767226MO","created_at":"2026-07-05T09:19:12Z"},{"alias_kind":"pith_short_16","alias_value":"S3HR767226MODHOC","created_at":"2026-07-05T09:19:12Z"},{"alias_kind":"pith_short_8","alias_value":"S3HR7672","created_at":"2026-07-05T09:19:12Z"}],"graph_snapshots":[{"event_id":"sha256:5e5003821f4a80d1450d78e64e31e7c77e8bb0b9ce2b20d86d55ba80dc479fe3","target":"graph","created_at":"2026-07-05T09:19:12Z","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/2409.19245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online continual learning requires the models to learn from constant, endless streams of data. While significant efforts have been made in this field, most were focused on mitigating the catastrophic forgetting issue to achieve better classification ability, at the cost of a much heavier training workload. They overlooked that in real-world scenarios, e.g., in high-speed data stream environments, data do not pause to accommodate slow models. In this paper, we emphasize that model throughput -- defined as the maximum number of training samples that a model can process within a unit of time -- i","authors_text":"Chuanxing Geng, Shao-Yuan Li, Songcan Chen, Wenhai Wan, Xinrui Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-28T05:24:56Z","title":"Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19245","kind":"arxiv","version":2},"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:e5ba2e6661080fdf853532dfadbe938a272b1cc0b1977e1185479c3a6ce3c845","target":"record","created_at":"2026-07-05T09:19:12Z","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":"ea0a5fa56d526a0cc8c5a99541426a0c243bb15c19662a982169c5e850cd0386","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-09-28T05:24:56Z","title_canon_sha256":"77aa7a67f88ac8b1643482043e0bbb6ae3b18660999d6989ada99ec7ecd8955a"},"schema_version":"1.0","source":{"id":"2409.19245","kind":"arxiv","version":2}},"canonical_sha256":"96cf1ffbfad798e19dc20e83bcca7f26a61daa17a66ad19d1fd933083b93a7d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96cf1ffbfad798e19dc20e83bcca7f26a61daa17a66ad19d1fd933083b93a7d0","first_computed_at":"2026-07-05T09:19:12.427347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:12.427347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M/3IrAHNA6pSaESma/OvBmj5ikIIecvwx9qsy4d9kvFsfHkuVl3KDbD0R7L4a+niDAysFsj8aiG1/56/LAVuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:12.427917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19245","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5ba2e6661080fdf853532dfadbe938a272b1cc0b1977e1185479c3a6ce3c845","sha256:5e5003821f4a80d1450d78e64e31e7c77e8bb0b9ce2b20d86d55ba80dc479fe3"],"state_sha256":"b0ddab08d629e01c31d7ecef7e17114f3a49f1318c9f6e86d4075fcaba1b462f"}