{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BYAGVOMRUXNQIY5YPUKV5KHFT3","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":"ea26bc6d26e0542f1a30164c5abacf08125ea8e7e4abc98352bde620bd6e1b3a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-26T15:32:33Z","title_canon_sha256":"9a034a828e036d7accd91b0eb1eadb3665a221e1ac2b220b5441eaf1cfbaa7de"},"schema_version":"1.0","source":{"id":"2606.28187","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28187","created_at":"2026-06-29T01:15:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28187v1","created_at":"2026-06-29T01:15:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28187","created_at":"2026-06-29T01:15:08Z"},{"alias_kind":"pith_short_12","alias_value":"BYAGVOMRUXNQ","created_at":"2026-06-29T01:15:08Z"},{"alias_kind":"pith_short_16","alias_value":"BYAGVOMRUXNQIY5Y","created_at":"2026-06-29T01:15:08Z"},{"alias_kind":"pith_short_8","alias_value":"BYAGVOMR","created_at":"2026-06-29T01:15:08Z"}],"graph_snapshots":[{"event_id":"sha256:07d7d4c3cf89e6438a1a3171cfd7f45f2d3ca67d9c408a1f8601f4adae00a769","target":"graph","created_at":"2026-06-29T01:15:08Z","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/2606.28187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-agent systems (MAS) built on large language models (LLMs) provide a promising framework for solving complex tasks through role specialization and structured interaction. However, their performance is often limited by miscoordination and, more fundamentally, the lack of fine-grained credit assignment across agents. Existing approaches typically rely on coarse-grained feedback, making it difficult to identify which agents or interaction steps are responsible for errors. We propose Gradient-Based Connections (GBC), an approach for fine-grained attribution and optimization of multi-agent sys","authors_text":"Abdulrahman AlRabah, Dilek Hakkani-T\\\"ur, Gokhan Tur, Xiaocheng Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-26T15:32:33Z","title":"GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28187","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:c6abbdb1db116bdf278ce21bf20f238f2aa84a090d6c87a763e58068718d41c3","target":"record","created_at":"2026-06-29T01:15:08Z","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":"ea26bc6d26e0542f1a30164c5abacf08125ea8e7e4abc98352bde620bd6e1b3a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-26T15:32:33Z","title_canon_sha256":"9a034a828e036d7accd91b0eb1eadb3665a221e1ac2b220b5441eaf1cfbaa7de"},"schema_version":"1.0","source":{"id":"2606.28187","kind":"arxiv","version":1}},"canonical_sha256":"0e006ab991a5db0463b87d155ea8e59ef2d9429fef14df112bdd140535e01525","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e006ab991a5db0463b87d155ea8e59ef2d9429fef14df112bdd140535e01525","first_computed_at":"2026-06-29T01:15:08.714948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:15:08.714948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gFNmg7MmfvLFFIx4IuXU1bhpcyQ1Rr2ionl/wD/uMxhaQa8jnWWb46vTmX23J/G1VYrPfvXLgL9eQTsU2AHVBg==","signature_status":"signed_v1","signed_at":"2026-06-29T01:15:08.715361Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28187","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6abbdb1db116bdf278ce21bf20f238f2aa84a090d6c87a763e58068718d41c3","sha256:07d7d4c3cf89e6438a1a3171cfd7f45f2d3ca67d9c408a1f8601f4adae00a769"],"state_sha256":"fce62bf68de5a89460377598b44d46b375e0e349624792c29c4fc333dcca2c10"}