{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WIWOEGJW2NWQBNOIZ3Y3SKJT4D","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":"367614c48dfa3653d6be51d2b365f4f03ae6accd0f00ceab9b55768c48b8091d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-22T20:00:41Z","title_canon_sha256":"25573e8290b2772cfd00c3c96f59e9e4e9d21969d966682a07e5147ea6828db3"},"schema_version":"1.0","source":{"id":"2501.13198","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13198","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13198v3","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13198","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_12","alias_value":"WIWOEGJW2NWQ","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_16","alias_value":"WIWOEGJW2NWQBNOI","created_at":"2026-07-05T10:25:47Z"},{"alias_kind":"pith_short_8","alias_value":"WIWOEGJW","created_at":"2026-07-05T10:25:47Z"}],"graph_snapshots":[{"event_id":"sha256:4c59edaf194b66544da109e023c10ae3c16acf8b8e36f480f002f314c93c2b95","target":"graph","created_at":"2026-07-05T10:25:47Z","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/2501.13198/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual Learning (CL) with foundation models has recently emerged as a promising paradigm to exploit abundant knowledge acquired during pre-training for tackling sequential tasks. However, existing prompt-based and Low-Rank Adaptation-based (LoRA-based) methods often require expanding a prompt/LoRA pool or retaining samples of previous tasks, which poses significant scalability challenges as the number of tasks grows. To address these limitations, we propose Scalable Decoupled LoRA (SD-LoRA) for class incremental learning, which continually separates the learning of the magnitude and directi","authors_text":"Deyu Meng, Hanspeter Pfister, Hongming Piao, Kede Ma, Long-Kai Huang, Renzhen Wang, Wanhua Li, Yichen Wu, Ying Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-22T20:00:41Z","title":"SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13198","kind":"arxiv","version":3},"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":"sha256:7eb3c56911b1e7b658805aa83b21dcfaa6be17c3b4d2b22cb693ea8dea2a49d8","target":"record","created_at":"2026-07-05T10:25:47Z","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":"367614c48dfa3653d6be51d2b365f4f03ae6accd0f00ceab9b55768c48b8091d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-22T20:00:41Z","title_canon_sha256":"25573e8290b2772cfd00c3c96f59e9e4e9d21969d966682a07e5147ea6828db3"},"schema_version":"1.0","source":{"id":"2501.13198","kind":"arxiv","version":3}},"canonical_sha256":"b22ce21936d36d00b5c8cef1b92933e0d5ae65587abbbfbd863336d5e25d8ab7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b22ce21936d36d00b5c8cef1b92933e0d5ae65587abbbfbd863336d5e25d8ab7","first_computed_at":"2026-07-05T10:25:47.022446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:47.022446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tV/RMfOaeKvGE59NzgeOmM5/rnqTCTz9FKlfBCmAocXghhSvMotXGDsibEyzzuPZT04p9aXwlIU5zpDqTT36Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:47.023092Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13198","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7eb3c56911b1e7b658805aa83b21dcfaa6be17c3b4d2b22cb693ea8dea2a49d8","sha256:4c59edaf194b66544da109e023c10ae3c16acf8b8e36f480f002f314c93c2b95"],"state_sha256":"dc14331fa638299096596b436983a34e716dc6330707fb809622055fba29d228"}