{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:Q2BN7PACA7VE3VJWLJH463KXGD","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":"912f0c5174a63da553bdba7565a5465b620ac7dc536538405e26607b4e870ac7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-30T14:00:40Z","title_canon_sha256":"6adb8be7e05ce2d55b45a9a81bcb1346c14d91a4b65f5d2ca01856832f75034c"},"schema_version":"1.0","source":{"id":"2111.01549","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.01549","created_at":"2026-07-05T03:29:04Z"},{"alias_kind":"arxiv_version","alias_value":"2111.01549v2","created_at":"2026-07-05T03:29:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.01549","created_at":"2026-07-05T03:29:04Z"},{"alias_kind":"pith_short_12","alias_value":"Q2BN7PACA7VE","created_at":"2026-07-05T03:29:04Z"},{"alias_kind":"pith_short_16","alias_value":"Q2BN7PACA7VE3VJW","created_at":"2026-07-05T03:29:04Z"},{"alias_kind":"pith_short_8","alias_value":"Q2BN7PAC","created_at":"2026-07-05T03:29:04Z"}],"graph_snapshots":[{"event_id":"sha256:f44d1fa7815865fcd2dc0ed83bbd2f80f260836bdd9352cfbdda80a2bc149d47","target":"graph","created_at":"2026-07-05T03:29:04Z","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/2111.01549/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper considers incremental few-shot learning, which requires a model to continually recognize new categories with only a few examples provided. Our study shows that existing methods severely suffer from catastrophic forgetting, a well-known problem in incremental learning, which is aggravated due to data scarcity and imbalance in the few-shot setting. Our analysis further suggests that to prevent catastrophic forgetting, actions need to be taken in the primitive stage -- the training of base classes instead of later few-shot learning sessions. Therefore, we propose to search for flat loc","authors_text":"Guangyuan Shi, Jiaxin Chen, Li-Ming Zhan, Wenlong Zhang, Xiao-Ming Wu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-30T14:00:40Z","title":"Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.01549","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":"sha256:4b0fb065e6c342f39ad059868b07618865e595bb8e6db28f9c1964cdee11911d","target":"record","created_at":"2026-07-05T03:29:04Z","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":"912f0c5174a63da553bdba7565a5465b620ac7dc536538405e26607b4e870ac7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-30T14:00:40Z","title_canon_sha256":"6adb8be7e05ce2d55b45a9a81bcb1346c14d91a4b65f5d2ca01856832f75034c"},"schema_version":"1.0","source":{"id":"2111.01549","kind":"arxiv","version":2}},"canonical_sha256":"8682dfbc0207ea4dd5365a4fcf6d5730e4fbda11c2bc8cc6465f0e60bf2c8373","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8682dfbc0207ea4dd5365a4fcf6d5730e4fbda11c2bc8cc6465f0e60bf2c8373","first_computed_at":"2026-07-05T03:29:04.688685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:29:04.688685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/4yOMER+RTLy8tSL72RO2ytal+J/e9oqj7rJh6XfuHDPUlQdPc2Wp6xtiBiixR8OT1p4Wx+pAmK2khWToeAEDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:29:04.689129Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.01549","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b0fb065e6c342f39ad059868b07618865e595bb8e6db28f9c1964cdee11911d","sha256:f44d1fa7815865fcd2dc0ed83bbd2f80f260836bdd9352cfbdda80a2bc149d47"],"state_sha256":"c252db52b58219ab5f48f0e576ae9715ee0979e08b5668300b3e8845acb5cff0"}