{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y7SBEASD34EDOHCTXHFDHACGMO","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":"c25a3e058b34273fdcf05f2ba08b8c1d9bb6dea6d7cd39643229104b27ad2a65","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-14T00:27:45Z","title_canon_sha256":"77dc0e942a589f3f3fbe7d50eb5b6580390f5fd64d6c2884e5daf693001fd086"},"schema_version":"1.0","source":{"id":"2504.09772","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09772","created_at":"2026-07-05T11:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09772v2","created_at":"2026-07-05T11:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09772","created_at":"2026-07-05T11:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"Y7SBEASD34ED","created_at":"2026-07-05T11:55:39Z"},{"alias_kind":"pith_short_16","alias_value":"Y7SBEASD34EDOHCT","created_at":"2026-07-05T11:55:39Z"},{"alias_kind":"pith_short_8","alias_value":"Y7SBEASD","created_at":"2026-07-05T11:55:39Z"}],"graph_snapshots":[{"event_id":"sha256:dac92be87eb1b0334677ed603c2b11e01a3c9a29f368a80f364417c0f7be459a","target":"graph","created_at":"2026-07-05T11:55:39Z","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/2504.09772/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) offer a promising path toward solving complex, real-world tasks that single-agent systems often struggle to manage. While recent advancements in test-time scaling (TTS) have significantly improved single-agent performance on challenging reasoning tasks, how to effectively scale collaboration and reasoning in MAS remains an open question. In this work, we introduce an adaptive multi-agent framework designed to enhance collaborative reasoning through both model-level training and system-level coordination. We construct M500, a high-","authors_text":"Can Jin, Dimitris N. Metaxas, Hongwu Peng, Qixin Zhang, Tong Che, Yujin Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-14T00:27:45Z","title":"Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09772","kind":"arxiv","version":2},"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":"sha256:5f5e436816becad6d016af5ae9c0a47c7d1aebdb2413417141061ab79a651d58","target":"record","created_at":"2026-07-05T11:55:39Z","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":"c25a3e058b34273fdcf05f2ba08b8c1d9bb6dea6d7cd39643229104b27ad2a65","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-14T00:27:45Z","title_canon_sha256":"77dc0e942a589f3f3fbe7d50eb5b6580390f5fd64d6c2884e5daf693001fd086"},"schema_version":"1.0","source":{"id":"2504.09772","kind":"arxiv","version":2}},"canonical_sha256":"c7e4120243df08371c53b9ca33804663a52fe78c4863e0dc08c08445c1c0f895","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7e4120243df08371c53b9ca33804663a52fe78c4863e0dc08c08445c1c0f895","first_computed_at":"2026-07-05T11:55:39.310258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:55:39.310258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/A2vm249bxlT5mWANelLPBDwQqJSID73ws3N4sriRZDTb+EIO/nBIsLtgyGfcUMpWMt5xBjoUlWDJzcB2d23AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:55:39.310755Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09772","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f5e436816becad6d016af5ae9c0a47c7d1aebdb2413417141061ab79a651d58","sha256:dac92be87eb1b0334677ed603c2b11e01a3c9a29f368a80f364417c0f7be459a"],"state_sha256":"f8b766921e62f99dedbb3f8f15fe0ed06a993ced7cf16d1cf68dd8e8dfbc45e0"}