{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6C6AFBXZQ3GGXYQT7PKZYPCZL3","short_pith_number":"pith:6C6AFBXZ","canonical_record":{"source":{"id":"2101.10423","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T21:20:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265419838766bd0a2757990e028749ae299856ee0288adef3fe8e0542d81a214","abstract_canon_sha256":"b0e3fc738ed046f4447afc4596447daeed3655804cfc25744b34ebf65e713a0e"},"schema_version":"1.0"},"canonical_sha256":"f0bc0286f986cc6be213fbd59c3c595ef87cf2ebc18c5804dd4e27e54897797d","source":{"kind":"arxiv","id":"2101.10423","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.10423","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"arxiv_version","alias_value":"2101.10423v4","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.10423","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_12","alias_value":"6C6AFBXZQ3GG","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_16","alias_value":"6C6AFBXZQ3GGXYQT","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_8","alias_value":"6C6AFBXZ","created_at":"2026-07-05T03:20:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6C6AFBXZQ3GGXYQT7PKZYPCZL3","target":"record","payload":{"canonical_record":{"source":{"id":"2101.10423","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T21:20:02Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265419838766bd0a2757990e028749ae299856ee0288adef3fe8e0542d81a214","abstract_canon_sha256":"b0e3fc738ed046f4447afc4596447daeed3655804cfc25744b34ebf65e713a0e"},"schema_version":"1.0"},"canonical_sha256":"f0bc0286f986cc6be213fbd59c3c595ef87cf2ebc18c5804dd4e27e54897797d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:00.004969Z","signature_b64":"gzV5/frrykws90ZuaLunYS2bvTegh8O90RigMl9tFZBjttmmOp0dU/Spmue6VA9fJAIape9XMxYYDNU/TaTcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0bc0286f986cc6be213fbd59c3c595ef87cf2ebc18c5804dd4e27e54897797d","last_reissued_at":"2026-07-05T03:20:00.004480Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:00.004480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.10423","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:20:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/6+oXEcpw3U2TCxP4RPzgOraicxI4TmNwJMNmQBQ+SDu3xs0nJ6cAPpcCkgaUq7imEanJtVGjvrBDPw78l14CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T12:21:50.023035Z"},"content_sha256":"b5005d9eec01b8a8893a045b2330d800a933eb7bb24edce997eeb12f8b104295","schema_version":"1.0","event_id":"sha256:b5005d9eec01b8a8893a045b2330d800a933eb7bb24edce997eeb12f8b104295"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6C6AFBXZQ3GGXYQT7PKZYPCZL3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Continual Learning in Image Classification: An Empirical Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"David Quispe, Hyunwoo Kim, Jihwan Jeong, Ruiwen Li, Scott Sanner, Zheda Mai","submitted_at":"2021-01-25T21:20:02Z","abstract_excerpt":"Online continual learning for image classification studies the problem of learning to classify images from an online stream of data and tasks, where tasks may include new classes (class incremental) or data nonstationarity (domain incremental). One of the key challenges of continual learning is to avoid catastrophic forgetting (CF), i.e., forgetting old tasks in the presence of more recent tasks. Over the past few years, many methods and tricks have been introduced to address this problem, but many have not been fairly and systematically compared under a variety of realistic and practical sett"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.10423","kind":"arxiv","version":4},"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/2101.10423/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":"2026-07-05T03:20:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"twNgWhVqXF5qyGax6XZtuPaXsO71LgYZUUS52a1+gHfk7O1dYGXRmRqbZzSEs3OQwO2bQZvc5AT2RK1xBS1wDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T12:21:50.023426Z"},"content_sha256":"2d18410984745ee37a092a4364f1641cfae54837a174fbc72bd3de42b3e81fc7","schema_version":"1.0","event_id":"sha256:2d18410984745ee37a092a4364f1641cfae54837a174fbc72bd3de42b3e81fc7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/bundle.json","state_url":"https://pith.science/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/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":"2026-07-05T12:21:50Z","links":{"resolver":"https://pith.science/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3","bundle":"https://pith.science/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/bundle.json","state":"https://pith.science/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6C6AFBXZQ3GGXYQT7PKZYPCZL3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6C6AFBXZQ3GGXYQT7PKZYPCZL3","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":"b0e3fc738ed046f4447afc4596447daeed3655804cfc25744b34ebf65e713a0e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T21:20:02Z","title_canon_sha256":"265419838766bd0a2757990e028749ae299856ee0288adef3fe8e0542d81a214"},"schema_version":"1.0","source":{"id":"2101.10423","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.10423","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"arxiv_version","alias_value":"2101.10423v4","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.10423","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_12","alias_value":"6C6AFBXZQ3GG","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_16","alias_value":"6C6AFBXZQ3GGXYQT","created_at":"2026-07-05T03:20:00Z"},{"alias_kind":"pith_short_8","alias_value":"6C6AFBXZ","created_at":"2026-07-05T03:20:00Z"}],"graph_snapshots":[{"event_id":"sha256:2d18410984745ee37a092a4364f1641cfae54837a174fbc72bd3de42b3e81fc7","target":"graph","created_at":"2026-07-05T03:20:00Z","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/2101.10423/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online continual learning for image classification studies the problem of learning to classify images from an online stream of data and tasks, where tasks may include new classes (class incremental) or data nonstationarity (domain incremental). One of the key challenges of continual learning is to avoid catastrophic forgetting (CF), i.e., forgetting old tasks in the presence of more recent tasks. Over the past few years, many methods and tricks have been introduced to address this problem, but many have not been fairly and systematically compared under a variety of realistic and practical sett","authors_text":"David Quispe, Hyunwoo Kim, Jihwan Jeong, Ruiwen Li, Scott Sanner, Zheda Mai","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T21:20:02Z","title":"Online Continual Learning in Image Classification: An Empirical Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.10423","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:b5005d9eec01b8a8893a045b2330d800a933eb7bb24edce997eeb12f8b104295","target":"record","created_at":"2026-07-05T03:20:00Z","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":"b0e3fc738ed046f4447afc4596447daeed3655804cfc25744b34ebf65e713a0e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T21:20:02Z","title_canon_sha256":"265419838766bd0a2757990e028749ae299856ee0288adef3fe8e0542d81a214"},"schema_version":"1.0","source":{"id":"2101.10423","kind":"arxiv","version":4}},"canonical_sha256":"f0bc0286f986cc6be213fbd59c3c595ef87cf2ebc18c5804dd4e27e54897797d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0bc0286f986cc6be213fbd59c3c595ef87cf2ebc18c5804dd4e27e54897797d","first_computed_at":"2026-07-05T03:20:00.004480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:00.004480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gzV5/frrykws90ZuaLunYS2bvTegh8O90RigMl9tFZBjttmmOp0dU/Spmue6VA9fJAIape9XMxYYDNU/TaTcAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:00.004969Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.10423","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5005d9eec01b8a8893a045b2330d800a933eb7bb24edce997eeb12f8b104295","sha256:2d18410984745ee37a092a4364f1641cfae54837a174fbc72bd3de42b3e81fc7"],"state_sha256":"29b63d16b58bcfa7e9bad473e29909633222596b956c7a06a50be79b30c9275a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gUvm1yDr16CLK5JawkKGY/eyydqBn7EzKbxY2ZQx/4Ftb6avdU1zeYdGD7cSniSU0DtzN3cerhuCmhlaXOtKBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T12:21:50.025437Z","bundle_sha256":"3c40cd7e146bdd4680effaa56ceec27b655307461c5a2ef8fd0b13259a996e57"}}