{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:SHEILYAYE73GUZ4JMJLJ55DXJT","short_pith_number":"pith:SHEILYAY","schema_version":"1.0","canonical_sha256":"91c885e01827f66a678962569ef4774ce8617070400413e9fb61db1128d16197","source":{"kind":"arxiv","id":"2505.20933","version":1},"attestation_state":"computed","paper":{"title":"Information-Theoretic Complementary Prompts for Improved Continual Text Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chenxing Li, Dong Yu, Duzhen Zhang, Tielin Zhang, Yong Ren","submitted_at":"2025-05-27T09:22:14Z","abstract_excerpt":"Continual Text Classification (CTC) aims to continuously classify new text data over time while minimizing catastrophic forgetting of previously acquired knowledge. However, existing methods often focus on task-specific knowledge, overlooking the importance of shared, task-agnostic knowledge. Inspired by the complementary learning systems theory, which posits that humans learn continually through the interaction of two systems -- the hippocampus, responsible for forming distinct representations of specific experiences, and the neocortex, which extracts more general and transferable representat"},"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":"2505.20933","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T09:22:14Z","cross_cats_sorted":[],"title_canon_sha256":"964066c473bd4b2cd09f684e218c6171ebc308615c81b4a4df44fc1d922e9596","abstract_canon_sha256":"16415c5ff84504294b3042788c87d808da840b9a9c9c156db88496f135afaaca"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:21.244764Z","signature_b64":"60tA3OjldxifS55Zr6fr9xD8FAmKSnqbaLsbiAapbbwNk2bIUMjfw5nzGTimpTPXn8cVZFI3F3oZE/DeJE4eDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91c885e01827f66a678962569ef4774ce8617070400413e9fb61db1128d16197","last_reissued_at":"2026-07-05T11:10:21.244270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:21.244270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Information-Theoretic Complementary Prompts for Improved Continual Text Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chenxing Li, Dong Yu, Duzhen Zhang, Tielin Zhang, Yong Ren","submitted_at":"2025-05-27T09:22:14Z","abstract_excerpt":"Continual Text Classification (CTC) aims to continuously classify new text data over time while minimizing catastrophic forgetting of previously acquired knowledge. However, existing methods often focus on task-specific knowledge, overlooking the importance of shared, task-agnostic knowledge. Inspired by the complementary learning systems theory, which posits that humans learn continually through the interaction of two systems -- the hippocampus, responsible for forming distinct representations of specific experiences, and the neocortex, which extracts more general and transferable representat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20933","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/2505.20933/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":"2505.20933","created_at":"2026-07-05T11:10:21.244335+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.20933v1","created_at":"2026-07-05T11:10:21.244335+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20933","created_at":"2026-07-05T11:10:21.244335+00:00"},{"alias_kind":"pith_short_12","alias_value":"SHEILYAYE73G","created_at":"2026-07-05T11:10:21.244335+00:00"},{"alias_kind":"pith_short_16","alias_value":"SHEILYAYE73GUZ4J","created_at":"2026-07-05T11:10:21.244335+00:00"},{"alias_kind":"pith_short_8","alias_value":"SHEILYAY","created_at":"2026-07-05T11:10:21.244335+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/SHEILYAYE73GUZ4JMJLJ55DXJT","json":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT.json","graph_json":"https://pith.science/api/pith-number/SHEILYAYE73GUZ4JMJLJ55DXJT/graph.json","events_json":"https://pith.science/api/pith-number/SHEILYAYE73GUZ4JMJLJ55DXJT/events.json","paper":"https://pith.science/paper/SHEILYAY"},"agent_actions":{"view_html":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT","download_json":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT.json","view_paper":"https://pith.science/paper/SHEILYAY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.20933&json=true","fetch_graph":"https://pith.science/api/pith-number/SHEILYAYE73GUZ4JMJLJ55DXJT/graph.json","fetch_events":"https://pith.science/api/pith-number/SHEILYAYE73GUZ4JMJLJ55DXJT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT/action/storage_attestation","attest_author":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT/action/author_attestation","sign_citation":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT/action/citation_signature","submit_replication":"https://pith.science/pith/SHEILYAYE73GUZ4JMJLJ55DXJT/action/replication_record"}},"created_at":"2026-07-05T11:10:21.244335+00:00","updated_at":"2026-07-05T11:10:21.244335+00:00"}