{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HMMKZB3PHF7GZJQK2RMC473R7U","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":"ecbb6408c3779933b98a3145fe0174c524813777aad399a469a3d3f5d1cac4b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-11T17:15:45Z","title_canon_sha256":"6bc4be55927d432aadff133f3eb8763b866cba7710764dfb9c1b57d2d6d2ea9f"},"schema_version":"1.0","source":{"id":"2509.09629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.09629","created_at":"2026-07-05T12:09:39Z"},{"alias_kind":"arxiv_version","alias_value":"2509.09629v1","created_at":"2026-07-05T12:09:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.09629","created_at":"2026-07-05T12:09:39Z"},{"alias_kind":"pith_short_12","alias_value":"HMMKZB3PHF7G","created_at":"2026-07-05T12:09:39Z"},{"alias_kind":"pith_short_16","alias_value":"HMMKZB3PHF7GZJQK","created_at":"2026-07-05T12:09:39Z"},{"alias_kind":"pith_short_8","alias_value":"HMMKZB3P","created_at":"2026-07-05T12:09:39Z"}],"graph_snapshots":[{"event_id":"sha256:0ea939d30641e51d73c1c09de072ffb7f86bc1f390a04c6cf9e81f4d392a73bf","target":"graph","created_at":"2026-07-05T12:09:39Z","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/2509.09629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advancement of large language models (LLMs) has enabled the construction of multi-agent systems to solve complex tasks by dividing responsibilities among specialized agents, such as a planning agent for subgoal generation and a grounding agent for executing tool-use actions. Most existing methods typically fine-tune these agents independently, leading to capability gaps among them with poor coordination. To address this, we propose MOAT, a Multi-Agent Joint Alignment Tuning framework that improves agents collaboration through iterative alignment. MOAT alternates between two key stages: (1)","authors_text":"Lingjie Wang, Minghang Zhu, Pengjie Ren, Shiguang Wu, Zhaochun Ren, Zhengliang Shi, Zhiwei Xu, Zhumin Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-11T17:15:45Z","title":"Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.09629","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":"sha256:16943b35e15aa65c8517bba737b619880df3e6d5ed428fb29b7d3d7d295c85cb","target":"record","created_at":"2026-07-05T12:09:39Z","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":"ecbb6408c3779933b98a3145fe0174c524813777aad399a469a3d3f5d1cac4b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-11T17:15:45Z","title_canon_sha256":"6bc4be55927d432aadff133f3eb8763b866cba7710764dfb9c1b57d2d6d2ea9f"},"schema_version":"1.0","source":{"id":"2509.09629","kind":"arxiv","version":1}},"canonical_sha256":"3b18ac876f397e6ca60ad4582e7f71fd3a06f46f9a61f011fe954d1066bd2af0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b18ac876f397e6ca60ad4582e7f71fd3a06f46f9a61f011fe954d1066bd2af0","first_computed_at":"2026-07-05T12:09:39.875196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:39.875196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p6qtStgi+Jm6+FJCjhu1MK5muZL9O9vFU9g2a8oS2OVs6nTxjZsePbnFbZEa0Cl3WOYCtJ73ma76EWcAkNMEDg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:39.875746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.09629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16943b35e15aa65c8517bba737b619880df3e6d5ed428fb29b7d3d7d295c85cb","sha256:0ea939d30641e51d73c1c09de072ffb7f86bc1f390a04c6cf9e81f4d392a73bf"],"state_sha256":"2a3fad73227a23d538814e8ed3775684a629ab23086960c70107001335fb1819"}