{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:4BLMJHCBIMIQ4RUOE2VWMAEOGP","short_pith_number":"pith:4BLMJHCB","schema_version":"1.0","canonical_sha256":"e056c49c4143110e468e26ab66008e33d2e2de81de2e2e037be47636e708a675","source":{"kind":"arxiv","id":"2307.01430","version":3},"attestation_state":"computed","paper":{"title":"Continual Learning in Open-vocabulary Classification with Complementary Memory Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Derek Hoiem, Weijie Lyu, Yao Xiao, Zhen Zhu","submitted_at":"2023-07-04T01:47:34Z","abstract_excerpt":"We introduce a method for flexible and efficient continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in human cognition. Specifically, we propose to combine predictions from a CLIP zero-shot model and the exemplar-based model, using the zero-shot estimated probability that a sample's class is within the exemplar classes. We also propose a \"tree probe\" method, an adaption of lazy learning principles, which enables fast learning from new examples with competitive accuracy to batch-trained linear models. We test in data "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.01430","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T01:47:34Z","cross_cats_sorted":[],"title_canon_sha256":"5d7e393233f25a8452f0463721a349d0bf4b2da2f4299a31b3b6c54154ab071c","abstract_canon_sha256":"7e210eee593e4f9b98b8e471ce40ac4c211d81596a9fad012037366eb05f6f60"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:16:08.008394Z","signature_b64":"q1AnZLjrsPemFSPXbbZgM5xAYz38LKPRNc0RdnzDtvV0stc55uue2Lsrt9rjfNnsuBe3gjYZFFd+j7argWRkBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e056c49c4143110e468e26ab66008e33d2e2de81de2e2e037be47636e708a675","last_reissued_at":"2026-07-05T09:16:08.007873Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:16:08.007873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Continual Learning in Open-vocabulary Classification with Complementary Memory Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Derek Hoiem, Weijie Lyu, Yao Xiao, Zhen Zhu","submitted_at":"2023-07-04T01:47:34Z","abstract_excerpt":"We introduce a method for flexible and efficient continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in human cognition. Specifically, we propose to combine predictions from a CLIP zero-shot model and the exemplar-based model, using the zero-shot estimated probability that a sample's class is within the exemplar classes. We also propose a \"tree probe\" method, an adaption of lazy learning principles, which enables fast learning from new examples with competitive accuracy to batch-trained linear models. We test in data "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01430","kind":"arxiv","version":3},"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/2307.01430/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.01430","created_at":"2026-07-05T09:16:08.007935+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.01430v3","created_at":"2026-07-05T09:16:08.007935+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01430","created_at":"2026-07-05T09:16:08.007935+00:00"},{"alias_kind":"pith_short_12","alias_value":"4BLMJHCBIMIQ","created_at":"2026-07-05T09:16:08.007935+00:00"},{"alias_kind":"pith_short_16","alias_value":"4BLMJHCBIMIQ4RUO","created_at":"2026-07-05T09:16:08.007935+00:00"},{"alias_kind":"pith_short_8","alias_value":"4BLMJHCB","created_at":"2026-07-05T09:16:08.007935+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP","json":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP.json","graph_json":"https://pith.science/api/pith-number/4BLMJHCBIMIQ4RUOE2VWMAEOGP/graph.json","events_json":"https://pith.science/api/pith-number/4BLMJHCBIMIQ4RUOE2VWMAEOGP/events.json","paper":"https://pith.science/paper/4BLMJHCB"},"agent_actions":{"view_html":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP","download_json":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP.json","view_paper":"https://pith.science/paper/4BLMJHCB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.01430&json=true","fetch_graph":"https://pith.science/api/pith-number/4BLMJHCBIMIQ4RUOE2VWMAEOGP/graph.json","fetch_events":"https://pith.science/api/pith-number/4BLMJHCBIMIQ4RUOE2VWMAEOGP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP/action/storage_attestation","attest_author":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP/action/author_attestation","sign_citation":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP/action/citation_signature","submit_replication":"https://pith.science/pith/4BLMJHCBIMIQ4RUOE2VWMAEOGP/action/replication_record"}},"created_at":"2026-07-05T09:16:08.007935+00:00","updated_at":"2026-07-05T09:16:08.007935+00:00"}