{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5L4LIMTGMIVJC53MWCZ2UIVR7M","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":"5d04b3cfcec064d4c3c5d84edf6f9bd4d37afef4a0c1a6d6fc0e671b5897ee6a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-03-13T05:01:25Z","title_canon_sha256":"d3f4e48492c0c64fb7db0a674209ff89476c6f4f014dcc701aedb273ef05dd64"},"schema_version":"1.0","source":{"id":"2603.12658","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.12658","created_at":"2026-08-11T01:24:40Z"},{"alias_kind":"arxiv_version","alias_value":"2603.12658v2","created_at":"2026-08-11T01:24:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.12658","created_at":"2026-08-11T01:24:40Z"},{"alias_kind":"pith_short_12","alias_value":"5L4LIMTGMIVJ","created_at":"2026-08-11T01:24:40Z"},{"alias_kind":"pith_short_16","alias_value":"5L4LIMTGMIVJC53M","created_at":"2026-08-11T01:24:40Z"},{"alias_kind":"pith_short_8","alias_value":"5L4LIMTG","created_at":"2026-08-11T01:24:40Z"}],"graph_snapshots":[{"event_id":"sha256:0744f7c2503bec86cf41ce8e195f0f413e2e49d812b336c68f1c8aacabcf40ba","target":"graph","created_at":"2026-08-11T01:24:40Z","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/2603.12658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning (CL) has emerged as a pivotal paradigm to enable large language models (LLMs) to dynamically adapt to evolving knowledge and sequential tasks while mitigating catastrophic forgetting, a critical limitation of the static pre-training paradigm inherent to modern LLMs. This paper presents a comprehensive overview of CL methodologies tailored for LLMs, structured around three core training stages: continual pre-training, continual fine-tuning, and continual alignment. Beyond the canonical taxonomy of rehearsal-, regularization-, and architecture-based methods, we further subdivi","authors_text":"Hongfei Ye, Hongyang Chen, Kunchi Li, Xuemin Lin, Zhongwu Sun","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-03-13T05:01:25Z","title":"Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.12658","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:a211756b7e956ed77595fda5f1ea00240ef3c01804a293f1b0ad895f5dcdde70","target":"record","created_at":"2026-08-11T01:24:40Z","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":"5d04b3cfcec064d4c3c5d84edf6f9bd4d37afef4a0c1a6d6fc0e671b5897ee6a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-03-13T05:01:25Z","title_canon_sha256":"d3f4e48492c0c64fb7db0a674209ff89476c6f4f014dcc701aedb273ef05dd64"},"schema_version":"1.0","source":{"id":"2603.12658","kind":"arxiv","version":2}},"canonical_sha256":"eaf8b43266622a91776cb0b3aa22b1fb399a105ec6bfcc7e7f8a6cc9f5a747f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eaf8b43266622a91776cb0b3aa22b1fb399a105ec6bfcc7e7f8a6cc9f5a747f8","first_computed_at":"2026-08-11T01:24:40.609785Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:24:40.609785Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZpnVKaQYvxeDi5nwkO++6eyavgR8NDlgzM7eQIib5mdTyz/DmfoclcLBvbSp3ozfSlIbgQ62QDx6iv8VaotEDA==","signature_status":"signed_v1","signed_at":"2026-08-11T01:24:40.612160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.12658","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a211756b7e956ed77595fda5f1ea00240ef3c01804a293f1b0ad895f5dcdde70","sha256:0744f7c2503bec86cf41ce8e195f0f413e2e49d812b336c68f1c8aacabcf40ba"],"state_sha256":"a68acc32ad7dd52bca1de60e18fea77cbec17cd507b20deeab0ca8b26e9f926d"}