{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:P7ESR2PYEXFL4HQIMWKZL24NNY","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":"8dbfeaae99e479e72c3ec887b741a73659e8be8697aaf31ad19c26cf6ae9f049","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-31T20:52:27Z","title_canon_sha256":"98aa00f071efa44995d94721d8b97dc87bb24c1a372b17eb5024fc4c545e2740"},"schema_version":"1.0","source":{"id":"2009.00093","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.00093","created_at":"2026-07-05T02:25:23Z"},{"alias_kind":"arxiv_version","alias_value":"2009.00093v4","created_at":"2026-07-05T02:25:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.00093","created_at":"2026-07-05T02:25:23Z"},{"alias_kind":"pith_short_12","alias_value":"P7ESR2PYEXFL","created_at":"2026-07-05T02:25:23Z"},{"alias_kind":"pith_short_16","alias_value":"P7ESR2PYEXFL4HQI","created_at":"2026-07-05T02:25:23Z"},{"alias_kind":"pith_short_8","alias_value":"P7ESR2PY","created_at":"2026-07-05T02:25:23Z"}],"graph_snapshots":[{"event_id":"sha256:c9326d35e78b60d156ffe118cb79e1895db5dd995710f3b52a3dfcea96c4d2e5","target":"graph","created_at":"2026-07-05T02:25:23Z","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/2009.00093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As image-based deep learning becomes pervasive on every device, from cell phones to smart watches, there is a growing need to develop methods that continually learn from data while minimizing memory footprint and power consumption. While memory replay techniques have shown exceptional promise for this task of continual learning, the best method for selecting which buffered images to replay is still an open question. In this paper, we specifically focus on the online class-incremental setting where a model needs to learn new classes continually from an online data stream. To this end, we contri","authors_text":"Dongsub Shim, Hyunwoo Kim, Jihwan Jeong, Jongseong Jang, Scott Sanner, Zheda Mai","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-31T20:52:27Z","title":"Online Class-Incremental Continual Learning with Adversarial Shapley Value"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.00093","kind":"arxiv","version":4},"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":"sha256:68a7495ab31cab0ec0b8e164604c205a1a2a34070e437be33ab41d170b0f9e8c","target":"record","created_at":"2026-07-05T02:25:23Z","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":"8dbfeaae99e479e72c3ec887b741a73659e8be8697aaf31ad19c26cf6ae9f049","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-08-31T20:52:27Z","title_canon_sha256":"98aa00f071efa44995d94721d8b97dc87bb24c1a372b17eb5024fc4c545e2740"},"schema_version":"1.0","source":{"id":"2009.00093","kind":"arxiv","version":4}},"canonical_sha256":"7fc928e9f825cabe1e08659595eb8d6e3dfbc5ee6427169647173426d136c286","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fc928e9f825cabe1e08659595eb8d6e3dfbc5ee6427169647173426d136c286","first_computed_at":"2026-07-05T02:25:23.035521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:25:23.035521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7L4TS9CtsuHzwBYQOIaXeDrILm36rHot6eLvIeXX/v4aM+TYOZ/TrCHdkTfRdhr7PJruHyOdgdZHaAkw2mNQAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:25:23.036020Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.00093","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68a7495ab31cab0ec0b8e164604c205a1a2a34070e437be33ab41d170b0f9e8c","sha256:c9326d35e78b60d156ffe118cb79e1895db5dd995710f3b52a3dfcea96c4d2e5"],"state_sha256":"6e5108cfbf42fb5352192a2c482b5d7693f00a5664a4197f82d2e5233d2bf6b4"}