{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KR3DIFFR224RN4VHSY4TVLEO3E","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":"8fc5c209b3d7ed85115e42eff434b8e3c4ab249d70273a6cd53a9c8598321a93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T08:57:06Z","title_canon_sha256":"28f56be2c568066d2f7898bb13c91922181ac01aaf6f0ba264ddaf4427333a24"},"schema_version":"1.0","source":{"id":"2605.31025","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31025","created_at":"2026-06-01T01:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31025v1","created_at":"2026-06-01T01:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31025","created_at":"2026-06-01T01:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"KR3DIFFR224R","created_at":"2026-06-01T01:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"KR3DIFFR224RN4VH","created_at":"2026-06-01T01:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"KR3DIFFR","created_at":"2026-06-01T01:03:31Z"}],"graph_snapshots":[{"event_id":"sha256:68f32437b7d24dca3037c97f17c28ef0b918f5c429422b044f8522fc1c2b0f4d","target":"graph","created_at":"2026-06-01T01:03:31Z","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/2605.31025/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In real-world deployment, LLMs are often adapted continually across tasks to keep LLMs up-to-date in production, where new fine-tuning should preserve previously learned skills. However, indiscriminately mixing tasks can dilute task specialization, while sequential fine-tuning (full-parameter or low rank adaptation) often causes catastrophic forgetting due to destructive overwriting. Replay-based continual tuning and maintaining separate task-specific adapters can mitigate forgetting, but introduce additional compute, storage, and management overhead. Recognizing the redundancy of LLM paramete","authors_text":"Di Liang, Fausto Giunchiglia, Ke Chen, Minlong Peng, Renchu Guan, Wei Pang, Xiaosong Han, Xiaoyue Feng, Xindi Dai, Yonghao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T08:57:06Z","title":"TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31025","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:cace9f621d6524b5601fe5bdb883f5a1496690a0ecccf3871fea547963d88f47","target":"record","created_at":"2026-06-01T01:03:31Z","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":"8fc5c209b3d7ed85115e42eff434b8e3c4ab249d70273a6cd53a9c8598321a93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-29T08:57:06Z","title_canon_sha256":"28f56be2c568066d2f7898bb13c91922181ac01aaf6f0ba264ddaf4427333a24"},"schema_version":"1.0","source":{"id":"2605.31025","kind":"arxiv","version":1}},"canonical_sha256":"54763414b1d6b916f2a796393aac8ed92fe6c83f118501c8357f88bb5b5615d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54763414b1d6b916f2a796393aac8ed92fe6c83f118501c8357f88bb5b5615d5","first_computed_at":"2026-06-01T01:03:31.400138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:31.400138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6xDjhw4Iltxcb6eX1/4py+Q9a8hKPvHAnRZJoH0MQPOmAlVQLq1k3Y8EmznrYvmRiHFp733nim0sFrxGeyx3Aw==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:31.401235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31025","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cace9f621d6524b5601fe5bdb883f5a1496690a0ecccf3871fea547963d88f47","sha256:68f32437b7d24dca3037c97f17c28ef0b918f5c429422b044f8522fc1c2b0f4d"],"state_sha256":"3c625daaff19046b493c8146cda9b95e9b762d7a27a1a77810bffc60dac98822"}