{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BADZKZSVOQJCTADX6BHAELMJCK","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":"1e504c35466fbeaefdcd3a4c411f361158daca67a5b7f5e9ff42cf2a80ae8091","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-03T14:15:33Z","title_canon_sha256":"8f451e69489db6aa22ed9d7cc46c68fcd690cd434493b03b65e7832ca2176db3"},"schema_version":"1.0","source":{"id":"2502.01378","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01378","created_at":"2026-07-05T10:08:46Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01378v1","created_at":"2026-07-05T10:08:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01378","created_at":"2026-07-05T10:08:46Z"},{"alias_kind":"pith_short_12","alias_value":"BADZKZSVOQJC","created_at":"2026-07-05T10:08:46Z"},{"alias_kind":"pith_short_16","alias_value":"BADZKZSVOQJCTADX","created_at":"2026-07-05T10:08:46Z"},{"alias_kind":"pith_short_8","alias_value":"BADZKZSV","created_at":"2026-07-05T10:08:46Z"}],"graph_snapshots":[{"event_id":"sha256:dd019d187eebcdd3da9c68ca3565c212f76d3cd6bdaad532275af20d1e238946","target":"graph","created_at":"2026-07-05T10:08:46Z","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/2502.01378/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) demonstrate exceptional performance across various tasks but demand substantial computational resources even for fine-tuning computation. Although Low-Rank Adaptation (LoRA) significantly alleviates memory consumption during fine-tuning, its impact on computational cost reduction is limited. This paper identifies the computation of activation gradients as the primary bottleneck in LoRA's backward propagation and introduces the Computation-Efficient LoRA (CE-LoRA) algorithm, which enhances computational efficiency while preserving memory efficiency. CE-LoRA leverage","authors_text":"Binhang Yuan, Guanduo Chen, Kun Yuan, Yipeng Hu, Yutong He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-03T14:15:33Z","title":"CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01378","kind":"arxiv","version":1},"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":"sha256:19726765c855262f016b947b96c0f24cf4953db00929825823408c64b9b97db8","target":"record","created_at":"2026-07-05T10:08:46Z","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":"1e504c35466fbeaefdcd3a4c411f361158daca67a5b7f5e9ff42cf2a80ae8091","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-03T14:15:33Z","title_canon_sha256":"8f451e69489db6aa22ed9d7cc46c68fcd690cd434493b03b65e7832ca2176db3"},"schema_version":"1.0","source":{"id":"2502.01378","kind":"arxiv","version":1}},"canonical_sha256":"08079566557412298077f04e022d891287a2df78d6cf2521b9a4a9d95f654a4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08079566557412298077f04e022d891287a2df78d6cf2521b9a4a9d95f654a4a","first_computed_at":"2026-07-05T10:08:46.492437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:46.492437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5PFim987ICjuDcWl5aba0vYE5DAdoPC+zIgOl/t57Wcs0l9Xe7ladPIYUUzVdwWN46+Yn5+GamYzEmXbEDjAAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:46.492909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.01378","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19726765c855262f016b947b96c0f24cf4953db00929825823408c64b9b97db8","sha256:dd019d187eebcdd3da9c68ca3565c212f76d3cd6bdaad532275af20d1e238946"],"state_sha256":"5f03373414a653a731f85916c3769d5b0c89012210c6089aa8a63fa700651ec8"}