{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Y7SBEASD34EDOHCTXHFDHACGMO","short_pith_number":"pith:Y7SBEASD","canonical_record":{"source":{"id":"2504.09772","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-14T00:27:45Z","cross_cats_sorted":[],"title_canon_sha256":"77dc0e942a589f3f3fbe7d50eb5b6580390f5fd64d6c2884e5daf693001fd086","abstract_canon_sha256":"c25a3e058b34273fdcf05f2ba08b8c1d9bb6dea6d7cd39643229104b27ad2a65"},"schema_version":"1.0"},"canonical_sha256":"c7e4120243df08371c53b9ca33804663a52fe78c4863e0dc08c08445c1c0f895","source":{"kind":"arxiv","id":"2504.09772","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Y7SBEASD34EDOHCTXHFDHACGMO","target":"record","payload":{"canonical_record":{"source":{"id":"2504.09772","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-14T00:27:45Z","cross_cats_sorted":[],"title_canon_sha256":"77dc0e942a589f3f3fbe7d50eb5b6580390f5fd64d6c2884e5daf693001fd086","abstract_canon_sha256":"c25a3e058b34273fdcf05f2ba08b8c1d9bb6dea6d7cd39643229104b27ad2a65"},"schema_version":"1.0"},"canonical_sha256":"c7e4120243df08371c53b9ca33804663a52fe78c4863e0dc08c08445c1c0f895","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:39.310755Z","signature_b64":"/A2vm249bxlT5mWANelLPBDwQqJSID73ws3N4sriRZDTb+EIO/nBIsLtgyGfcUMpWMt5xBjoUlWDJzcB2d23AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c7e4120243df08371c53b9ca33804663a52fe78c4863e0dc08c08445c1c0f895","last_reissued_at":"2026-07-05T11:55:39.310258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:39.310258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.09772","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FO0I+xKmMDGgGo0p437iYcfXjyTRc53iGjUJtRonI3eJaT9+W3Vnm0qKZjzxgIyBPSng87uVxoo64i3AoKd3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:28:25.380914Z"},"content_sha256":"5f5e436816becad6d016af5ae9c0a47c7d1aebdb2413417141061ab79a651d58","schema_version":"1.0","event_id":"sha256:5f5e436816becad6d016af5ae9c0a47c7d1aebdb2413417141061ab79a651d58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Y7SBEASD34EDOHCTXHFDHACGMO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Can Jin, Dimitris N. Metaxas, Hongwu Peng, Qixin Zhang, Tong Che, Yujin Tang","submitted_at":"2025-04-14T00:27:45Z","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-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09772","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.09772/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SwAeSXe2skFvneDPWEf/A5R5pMU9lE+ikFWkDU+goSuhxqN2H8hyfrzcM0tl+g8yr9FaoOU1hHgPHTEl4nujBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:28:25.381329Z"},"content_sha256":"dac92be87eb1b0334677ed603c2b11e01a3c9a29f368a80f364417c0f7be459a","schema_version":"1.0","event_id":"sha256:dac92be87eb1b0334677ed603c2b11e01a3c9a29f368a80f364417c0f7be459a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y7SBEASD34EDOHCTXHFDHACGMO/bundle.json","state_url":"https://pith.science/pith/Y7SBEASD34EDOHCTXHFDHACGMO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y7SBEASD34EDOHCTXHFDHACGMO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T05:28:25Z","links":{"resolver":"https://pith.science/pith/Y7SBEASD34EDOHCTXHFDHACGMO","bundle":"https://pith.science/pith/Y7SBEASD34EDOHCTXHFDHACGMO/bundle.json","state":"https://pith.science/pith/Y7SBEASD34EDOHCTXHFDHACGMO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y7SBEASD34EDOHCTXHFDHACGMO/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zyE9TYN+iDoQGiz116v6pDhw74S4wrUZEm1hoxyaXyu8w5bOoGR05cO6lipfIkyy/Z0CalAl89Kb4rfLGbFPDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:28:25.383474Z","bundle_sha256":"31b721a74e69fb9ae8472c66c100e37909b3ab9e9f7d548b5753eaa98c5bb671"}}