{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QQNNGQLGA5JZ24MQAOUF2PG7LE","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":"b8d4ef7d21204f91094739eccc554fd43b684b66d067c2c6ac2158ef1fd59784","cross_cats_sorted":["cs.CL","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-03T00:14:34Z","title_canon_sha256":"bb3d72ab885ccab83773257a9670c66d2383b5b4bd9b62399416b763de47d114"},"schema_version":"1.0","source":{"id":"2503.01066","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01066","created_at":"2026-07-05T10:31:27Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01066v2","created_at":"2026-07-05T10:31:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01066","created_at":"2026-07-05T10:31:27Z"},{"alias_kind":"pith_short_12","alias_value":"QQNNGQLGA5JZ","created_at":"2026-07-05T10:31:27Z"},{"alias_kind":"pith_short_16","alias_value":"QQNNGQLGA5JZ24MQ","created_at":"2026-07-05T10:31:27Z"},{"alias_kind":"pith_short_8","alias_value":"QQNNGQLG","created_at":"2026-07-05T10:31:27Z"}],"graph_snapshots":[{"event_id":"sha256:f6d8a4b8efa865106115a2fedf0a93ca28c6c214d8d483db21b1c67893c20e13","target":"graph","created_at":"2026-07-05T10:31:27Z","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/2503.01066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning has become a promising solution to refine large language models incrementally by leveraging user feedback. In particular, online continual learning - iteratively training the model with small batches of user feedback - has demonstrated notable performance improvements. However, the existing practice of separating training and serving processes forces the online trainer to recompute the intermediate results already done during serving. Such redundant computations can account for 30%-42% of total training time.\n  In this paper, we propose Alchemist, to the best of our knowledg","authors_text":"Beibin Li, Changho Hwang, Haryadi S. Gunawi, Yuhan Liu, Yuyang Huang","cross_cats":["cs.CL","cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-03T00:14:34Z","title":"Alchemist: Towards the Design of Efficient Online Continual Learning System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01066","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":"sha256:205a82ecae7e05308a5e19924b5ed2f97ced25bd70518c62dc9ac028244ad6a6","target":"record","created_at":"2026-07-05T10:31:27Z","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":"b8d4ef7d21204f91094739eccc554fd43b684b66d067c2c6ac2158ef1fd59784","cross_cats_sorted":["cs.CL","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-03T00:14:34Z","title_canon_sha256":"bb3d72ab885ccab83773257a9670c66d2383b5b4bd9b62399416b763de47d114"},"schema_version":"1.0","source":{"id":"2503.01066","kind":"arxiv","version":2}},"canonical_sha256":"841ad3416607539d719003a85d3cdf592d94e3c931aeec5819a43d1669c94091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"841ad3416607539d719003a85d3cdf592d94e3c931aeec5819a43d1669c94091","first_computed_at":"2026-07-05T10:31:27.140571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:27.140571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HWnlK25iCyj1aA2Ho9b+zTlDfvc24dyZPs5hWQ06bKvf4CiTviyyXHNxoYrLPvHrgCUD7qESTDVyoxLiXUanAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:27.141081Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.01066","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:205a82ecae7e05308a5e19924b5ed2f97ced25bd70518c62dc9ac028244ad6a6","sha256:f6d8a4b8efa865106115a2fedf0a93ca28c6c214d8d483db21b1c67893c20e13"],"state_sha256":"748a9de52bb738fb2dd7d1df0555918c3fa1b0d5e9b7f4e985a5c8a614548bc9"}