{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2XM5GHVWRP45OPXXHPQLFLIHGZ","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":"d34f601f2ce63df2205d8c05eb8919bf83e067d27a278ceb91dd238cdfd810b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-31T16:33:18Z","title_canon_sha256":"2f71dadc7fb60be05ce57a40a6a951215e2e748564c90e5e7a09aa01acc952cd"},"schema_version":"1.0","source":{"id":"2607.29601","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29601","created_at":"2026-08-03T01:40:08Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29601v1","created_at":"2026-08-03T01:40:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29601","created_at":"2026-08-03T01:40:08Z"},{"alias_kind":"pith_short_12","alias_value":"2XM5GHVWRP45","created_at":"2026-08-03T01:40:08Z"},{"alias_kind":"pith_short_16","alias_value":"2XM5GHVWRP45OPXX","created_at":"2026-08-03T01:40:08Z"},{"alias_kind":"pith_short_8","alias_value":"2XM5GHVW","created_at":"2026-08-03T01:40:08Z"}],"graph_snapshots":[{"event_id":"sha256:597f8a7081bb099938c0937e25671a6b38025ed77cba67c19e769aa45945a708","target":"graph","created_at":"2026-08-03T01:40:08Z","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/2607.29601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-Efficient Fine-Tuning (PEFT) commonly adapts large language models using a single shared Low-Rank Adapter (LoRA). This shared optimization space often suffers from interference when adapting heterogeneous task sequences, leading to poor transfer and catastrophic forgetting. Existing approaches mainly improve adapter expressiveness by increasing parameter capacity or composing multiple adapters, yet they still rely on a shared optimization path. In this paper, we propose an optimization-path organization framework for parameter-efficient fine-tuning of large language models, implement","authors_text":"Adam Sobey, Francisco Gomez Medina, Jiajia Tang, Sizhe Yuen, Yali Du","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-31T16:33:18Z","title":"The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29601","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":"sha256:489d790d1356458219495ee6bb820ce87cfb71637836011bb5c004ccbd50498e","target":"record","created_at":"2026-08-03T01:40:08Z","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":"d34f601f2ce63df2205d8c05eb8919bf83e067d27a278ceb91dd238cdfd810b5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-31T16:33:18Z","title_canon_sha256":"2f71dadc7fb60be05ce57a40a6a951215e2e748564c90e5e7a09aa01acc952cd"},"schema_version":"1.0","source":{"id":"2607.29601","kind":"arxiv","version":1}},"canonical_sha256":"d5d9d31eb68bf9d73ef73be0b2ad07366b40c52f852419c5dcf01f235bad0970","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5d9d31eb68bf9d73ef73be0b2ad07366b40c52f852419c5dcf01f235bad0970","first_computed_at":"2026-08-03T01:40:08.905712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:40:08.905712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cDZzezyWaRWCQjCUnTAHdr7eQUCs2fkt6qVyHUb0IEX3yTblczPUR16CV4PcvP7kWHljiCYJzjfpWyL6WaZWCQ==","signature_status":"signed_v1","signed_at":"2026-08-03T01:40:08.907646Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29601","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:489d790d1356458219495ee6bb820ce87cfb71637836011bb5c004ccbd50498e","sha256:597f8a7081bb099938c0937e25671a6b38025ed77cba67c19e769aa45945a708"],"state_sha256":"bc77d62d06a6d97203796eaa5445a02603440f48667455f031ed7ee559f958a9"}