{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:S4OHVKF56QCXL3I2RT36MAPEVI","short_pith_number":"pith:S4OHVKF5","schema_version":"1.0","canonical_sha256":"971c7aa8bdf40575ed1a8cf7e601e4aa2af7a010817ac9f7491aa09354f46335","source":{"kind":"arxiv","id":"2606.05675","version":1},"attestation_state":"computed","paper":{"title":"Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Bartosz Krawczyk, Hongye Xu","submitted_at":"2026-06-04T03:57:33Z","abstract_excerpt":"Continual learning (CL) seeks models that acquire new skills without erasing prior knowledge. In exemplar-free class-incremental learning (EFCIL), this challenge is amplified because past data cannot be stored, making representation drift for old classes particularly harmful. Prototype-based EFCIL is attractive for its efficiency, yet prototypes drift as the embedding space evolves; therefore, projection-based drift compensation has become a popular remedy. We show, however, that existing one-directional projections introduce systematic bias: they either retroactively distort the current featu"},"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":"2606.05675","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T03:57:33Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"1125be43b1e5d842fa64e78b8b436f42768b909ccb02ce406d1af1a7f97b0b89","abstract_canon_sha256":"7de5585ea67e780b513e2f0ae8f33b53c9b4db9cc989937b738bd01e82a60ef8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:14:58.921600Z","signature_b64":"CLwapab/xhbAPt/Ii7cpWq4AfsdzMWERhR6FsJnaefO/QPSW08uIg0G/0mrn21WHjuewrAhk2LCWwpzXdivvCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"971c7aa8bdf40575ed1a8cf7e601e4aa2af7a010817ac9f7491aa09354f46335","last_reissued_at":"2026-06-05T01:14:58.921153Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:14:58.921153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Bartosz Krawczyk, Hongye Xu","submitted_at":"2026-06-04T03:57:33Z","abstract_excerpt":"Continual learning (CL) seeks models that acquire new skills without erasing prior knowledge. In exemplar-free class-incremental learning (EFCIL), this challenge is amplified because past data cannot be stored, making representation drift for old classes particularly harmful. Prototype-based EFCIL is attractive for its efficiency, yet prototypes drift as the embedding space evolves; therefore, projection-based drift compensation has become a popular remedy. We show, however, that existing one-directional projections introduce systematic bias: they either retroactively distort the current featu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05675","kind":"arxiv","version":1},"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/2606.05675/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":"2606.05675","created_at":"2026-06-05T01:14:58.921224+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.05675v1","created_at":"2026-06-05T01:14:58.921224+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05675","created_at":"2026-06-05T01:14:58.921224+00:00"},{"alias_kind":"pith_short_12","alias_value":"S4OHVKF56QCX","created_at":"2026-06-05T01:14:58.921224+00:00"},{"alias_kind":"pith_short_16","alias_value":"S4OHVKF56QCXL3I2","created_at":"2026-06-05T01:14:58.921224+00:00"},{"alias_kind":"pith_short_8","alias_value":"S4OHVKF5","created_at":"2026-06-05T01:14:58.921224+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/S4OHVKF56QCXL3I2RT36MAPEVI","json":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI.json","graph_json":"https://pith.science/api/pith-number/S4OHVKF56QCXL3I2RT36MAPEVI/graph.json","events_json":"https://pith.science/api/pith-number/S4OHVKF56QCXL3I2RT36MAPEVI/events.json","paper":"https://pith.science/paper/S4OHVKF5"},"agent_actions":{"view_html":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI","download_json":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI.json","view_paper":"https://pith.science/paper/S4OHVKF5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.05675&json=true","fetch_graph":"https://pith.science/api/pith-number/S4OHVKF56QCXL3I2RT36MAPEVI/graph.json","fetch_events":"https://pith.science/api/pith-number/S4OHVKF56QCXL3I2RT36MAPEVI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI/action/storage_attestation","attest_author":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI/action/author_attestation","sign_citation":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI/action/citation_signature","submit_replication":"https://pith.science/pith/S4OHVKF56QCXL3I2RT36MAPEVI/action/replication_record"}},"created_at":"2026-06-05T01:14:58.921224+00:00","updated_at":"2026-06-05T01:14:58.921224+00:00"}