{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:UJ45PD6RPRWNAK4XMSO2ZNSQAJ","short_pith_number":"pith:UJ45PD6R","schema_version":"1.0","canonical_sha256":"a279d78fd17c6cd02b97649dacb6500272455214a38081f245b8837be7ee01d0","source":{"kind":"arxiv","id":"2506.06844","version":1},"attestation_state":"computed","paper":{"title":"Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ke Ma, Naibin Gu, Peng Fu, Weiping Wang, Xiyu Liu, Zheng Lin","submitted_at":"2025-06-07T15:50:12Z","abstract_excerpt":"Parameter-efficient fine-tuning (PEFT) has become a common method for fine-tuning large language models, where a base model can serve multiple users through PEFT module switching. To enhance user experience, base models require periodic updates. However, once updated, PEFT modules fine-tuned on previous versions often suffer substantial performance degradation on newer versions. Re-tuning these numerous modules to restore performance would incur significant computational costs. Through a comprehensive analysis of the changes that occur during base model updates, we uncover an interesting pheno"},"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":"2506.06844","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-07T15:50:12Z","cross_cats_sorted":[],"title_canon_sha256":"002623e2b5ab336a6b08353e6427fa47b4b5f450a8fcff80da59090350cb3d33","abstract_canon_sha256":"7cdf6bb3919aba9ab1c411252ec20cf3809c15ab150305f43a0eaf9cab286eed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:56.776334Z","signature_b64":"WTB4OHob4fSlRIEa/EG3MU4aSngYRuEIRsi9jNp5UMIZ+teZb7AchFIxWqshmCP4Znb56FzqmC2HDcvVZPFGAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a279d78fd17c6cd02b97649dacb6500272455214a38081f245b8837be7ee01d0","last_reissued_at":"2026-07-05T11:17:56.775869Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:56.775869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ke Ma, Naibin Gu, Peng Fu, Weiping Wang, Xiyu Liu, Zheng Lin","submitted_at":"2025-06-07T15:50:12Z","abstract_excerpt":"Parameter-efficient fine-tuning (PEFT) has become a common method for fine-tuning large language models, where a base model can serve multiple users through PEFT module switching. To enhance user experience, base models require periodic updates. However, once updated, PEFT modules fine-tuned on previous versions often suffer substantial performance degradation on newer versions. Re-tuning these numerous modules to restore performance would incur significant computational costs. Through a comprehensive analysis of the changes that occur during base model updates, we uncover an interesting pheno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06844","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/2506.06844/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":"2506.06844","created_at":"2026-07-05T11:17:56.775924+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.06844v1","created_at":"2026-07-05T11:17:56.775924+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06844","created_at":"2026-07-05T11:17:56.775924+00:00"},{"alias_kind":"pith_short_12","alias_value":"UJ45PD6RPRWN","created_at":"2026-07-05T11:17:56.775924+00:00"},{"alias_kind":"pith_short_16","alias_value":"UJ45PD6RPRWNAK4X","created_at":"2026-07-05T11:17:56.775924+00:00"},{"alias_kind":"pith_short_8","alias_value":"UJ45PD6R","created_at":"2026-07-05T11:17:56.775924+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/UJ45PD6RPRWNAK4XMSO2ZNSQAJ","json":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ.json","graph_json":"https://pith.science/api/pith-number/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/graph.json","events_json":"https://pith.science/api/pith-number/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/events.json","paper":"https://pith.science/paper/UJ45PD6R"},"agent_actions":{"view_html":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ","download_json":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ.json","view_paper":"https://pith.science/paper/UJ45PD6R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.06844&json=true","fetch_graph":"https://pith.science/api/pith-number/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/graph.json","fetch_events":"https://pith.science/api/pith-number/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/action/storage_attestation","attest_author":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/action/author_attestation","sign_citation":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/action/citation_signature","submit_replication":"https://pith.science/pith/UJ45PD6RPRWNAK4XMSO2ZNSQAJ/action/replication_record"}},"created_at":"2026-07-05T11:17:56.775924+00:00","updated_at":"2026-07-05T11:17:56.775924+00:00"}