{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AYAUAYJAS2BKZJDULBHISUOKK6","short_pith_number":"pith:AYAUAYJA","canonical_record":{"source":{"id":"2607.04394","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T16:37:40Z","cross_cats_sorted":["cs.SC"],"title_canon_sha256":"7d887999ef0fa431ba5cf7f9ed80210075cb60a1a54e1113abb203119b3b564f","abstract_canon_sha256":"7ad8a20f03e10fa44577661b969484055ac880cf8fa2f27423cbf9b56e987dde"},"schema_version":"1.0"},"canonical_sha256":"06014061209682aca474584e8951ca57b5741878b465c5f3fcd03ebc7718cebe","source":{"kind":"arxiv","id":"2607.04394","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04394","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04394v1","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04394","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"AYAUAYJAS2BK","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"AYAUAYJAS2BKZJDU","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"AYAUAYJA","created_at":"2026-07-07T02:19:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AYAUAYJAS2BKZJDULBHISUOKK6","target":"record","payload":{"canonical_record":{"source":{"id":"2607.04394","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T16:37:40Z","cross_cats_sorted":["cs.SC"],"title_canon_sha256":"7d887999ef0fa431ba5cf7f9ed80210075cb60a1a54e1113abb203119b3b564f","abstract_canon_sha256":"7ad8a20f03e10fa44577661b969484055ac880cf8fa2f27423cbf9b56e987dde"},"schema_version":"1.0"},"canonical_sha256":"06014061209682aca474584e8951ca57b5741878b465c5f3fcd03ebc7718cebe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:19:16.392824Z","signature_b64":"xWAIEyumDKc2apjxuhTXQmEBoUaDZ3osI4y2xE18m1JT2T+zUvCd0fV6QTyy4p4+bQQYo9JD4RXlSg253kXeDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06014061209682aca474584e8951ca57b5741878b465c5f3fcd03ebc7718cebe","last_reissued_at":"2026-07-07T02:19:16.392271Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:19:16.392271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.04394","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PHwSUJ2ZktSU5IanQjdl8gRyF90Dt0a7Sa/bS7WYVySFwpmujQOS7yKngOSYyNbq0verKBtiYby9XCImf7zCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:35:20.284888Z"},"content_sha256":"2284067fe568dacc690ce50113da55ef40909f99dc2494f811ae7515acffdafd","schema_version":"1.0","event_id":"sha256:2284067fe568dacc690ce50113da55ef40909f99dc2494f811ae7515acffdafd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AYAUAYJAS2BKZJDULBHISUOKK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MechMath Agent Team: LLM Driven Agents for Mathematical Research","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SC"],"primary_cat":"cs.AI","authors_text":"Dakai Guo, Jiaqi Wang, Junqi Liu, Lihong Zhi, Ruichen Qiu, Ruyong Feng, Xiao-Shan Gao, Yichuan Cao","submitted_at":"2026-07-05T16:37:40Z","abstract_excerpt":"AI reasoning has become a central focus in contemporary artificial intelligence, largely driven by the success of large language models. However, mathematical research, which is characterized by non-linear derivation paths, rigorous logical requirements, and protracted exploration cycles, poses severe challenges for existing reasoning systems. To overcome these limitations, we present the MechMath Agent Team (MMAT), which is a large language model driven agent designed to serve as a co-pilot throughout the full cycle of mathematical research. We design a tripartite Harness Architecture that de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04394","kind":"arxiv","version":1},"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/2607.04394/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":"2026-07-07T02:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HtXK7M8bgeIRYQCCR4y2iMT1fQDsiXcfp0B9Wu/MXWkZuMxvbqvqpiNvomPYMSgOkxIE6MMxnb8zy6JLiIRkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:35:20.285392Z"},"content_sha256":"5896831af7e90d4d1978398751afc89e0e816b0c222ca1733ffccf842c914289","schema_version":"1.0","event_id":"sha256:5896831af7e90d4d1978398751afc89e0e816b0c222ca1733ffccf842c914289"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AYAUAYJAS2BKZJDULBHISUOKK6/bundle.json","state_url":"https://pith.science/pith/AYAUAYJAS2BKZJDULBHISUOKK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AYAUAYJAS2BKZJDULBHISUOKK6/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":"2026-08-03T17:35:20Z","links":{"resolver":"https://pith.science/pith/AYAUAYJAS2BKZJDULBHISUOKK6","bundle":"https://pith.science/pith/AYAUAYJAS2BKZJDULBHISUOKK6/bundle.json","state":"https://pith.science/pith/AYAUAYJAS2BKZJDULBHISUOKK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AYAUAYJAS2BKZJDULBHISUOKK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AYAUAYJAS2BKZJDULBHISUOKK6","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":"7ad8a20f03e10fa44577661b969484055ac880cf8fa2f27423cbf9b56e987dde","cross_cats_sorted":["cs.SC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T16:37:40Z","title_canon_sha256":"7d887999ef0fa431ba5cf7f9ed80210075cb60a1a54e1113abb203119b3b564f"},"schema_version":"1.0","source":{"id":"2607.04394","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04394","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04394v1","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04394","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"AYAUAYJAS2BK","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"AYAUAYJAS2BKZJDU","created_at":"2026-07-07T02:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"AYAUAYJA","created_at":"2026-07-07T02:19:16Z"}],"graph_snapshots":[{"event_id":"sha256:5896831af7e90d4d1978398751afc89e0e816b0c222ca1733ffccf842c914289","target":"graph","created_at":"2026-07-07T02:19:16Z","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/2607.04394/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI reasoning has become a central focus in contemporary artificial intelligence, largely driven by the success of large language models. However, mathematical research, which is characterized by non-linear derivation paths, rigorous logical requirements, and protracted exploration cycles, poses severe challenges for existing reasoning systems. To overcome these limitations, we present the MechMath Agent Team (MMAT), which is a large language model driven agent designed to serve as a co-pilot throughout the full cycle of mathematical research. We design a tripartite Harness Architecture that de","authors_text":"Dakai Guo, Jiaqi Wang, Junqi Liu, Lihong Zhi, Ruichen Qiu, Ruyong Feng, Xiao-Shan Gao, Yichuan Cao","cross_cats":["cs.SC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T16:37:40Z","title":"MechMath Agent Team: LLM Driven Agents for Mathematical Research"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04394","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":"sha256:2284067fe568dacc690ce50113da55ef40909f99dc2494f811ae7515acffdafd","target":"record","created_at":"2026-07-07T02:19:16Z","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":"7ad8a20f03e10fa44577661b969484055ac880cf8fa2f27423cbf9b56e987dde","cross_cats_sorted":["cs.SC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T16:37:40Z","title_canon_sha256":"7d887999ef0fa431ba5cf7f9ed80210075cb60a1a54e1113abb203119b3b564f"},"schema_version":"1.0","source":{"id":"2607.04394","kind":"arxiv","version":1}},"canonical_sha256":"06014061209682aca474584e8951ca57b5741878b465c5f3fcd03ebc7718cebe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06014061209682aca474584e8951ca57b5741878b465c5f3fcd03ebc7718cebe","first_computed_at":"2026-07-07T02:19:16.392271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:19:16.392271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xWAIEyumDKc2apjxuhTXQmEBoUaDZ3osI4y2xE18m1JT2T+zUvCd0fV6QTyy4p4+bQQYo9JD4RXlSg253kXeDg==","signature_status":"signed_v1","signed_at":"2026-07-07T02:19:16.392824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04394","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2284067fe568dacc690ce50113da55ef40909f99dc2494f811ae7515acffdafd","sha256:5896831af7e90d4d1978398751afc89e0e816b0c222ca1733ffccf842c914289"],"state_sha256":"21736ecaaee98b2eef56ef3da0d664825dcbee599aad09aa0b32f2e114d456e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gNzksqnm+QKvgMiuSPmssrT8ZF6ypsPtZD3dNFKa8xpToRqHrqw0AJsQGUNcI5ysfCetktObM8YRJrLzcmm+AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:35:20.290900Z","bundle_sha256":"5eb231de306c86c616d5fb5b5de16413313f364bbe8d099245075fedbb1cac15"}}