{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZO4S5FHQJGN7PE7WLII5PEYXOA","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":"6e30bb6da2a4b6c9737e053ac371b0b0cf2ab85613f571b500a5d7a0228e84a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T09:55:31Z","title_canon_sha256":"77b1790fc72e65d87cfef6b500ece5e0d0aefaa522d8c83a16f27ec293af0e53"},"schema_version":"1.0","source":{"id":"2505.14148","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14148","created_at":"2026-07-05T11:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14148v1","created_at":"2026-07-05T11:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14148","created_at":"2026-07-05T11:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"ZO4S5FHQJGN7","created_at":"2026-07-05T11:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"ZO4S5FHQJGN7PE7W","created_at":"2026-07-05T11:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"ZO4S5FHQ","created_at":"2026-07-05T11:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:33b5151f00774362ff3e06b73b90e31766238aa2723ac50505528dc96b195374","target":"graph","created_at":"2026-07-05T11:05:56Z","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/2505.14148/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mathematical modeling is a cornerstone of scientific discovery and engineering practice, enabling the translation of real-world problems into formal systems across domains such as physics, biology, and economics. Unlike mathematical reasoning, which assumes a predefined formulation, modeling requires open-ended problem analysis, abstraction, and principled formalization. While Large Language Models (LLMs) have shown strong reasoning capabilities, they fall short in rigorous model construction, limiting their utility in real-world problem-solving. To this end, we formalize the task of LLM-power","authors_text":"Cancheng Liu, Fan Liu, Hao Liu, Tianrui Song, Xiaofeng Gao, Zherui Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T09:55:31Z","title":"MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14148","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:e881fd0233a9a8739ff573d2d10d4aa05e4c6333ae762deac0e95b7d54c76b7d","target":"record","created_at":"2026-07-05T11:05:56Z","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":"6e30bb6da2a4b6c9737e053ac371b0b0cf2ab85613f571b500a5d7a0228e84a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T09:55:31Z","title_canon_sha256":"77b1790fc72e65d87cfef6b500ece5e0d0aefaa522d8c83a16f27ec293af0e53"},"schema_version":"1.0","source":{"id":"2505.14148","kind":"arxiv","version":1}},"canonical_sha256":"cbb92e94f0499bf793f65a11d79317700a55f117a91adcb416cf8bcea40ee613","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbb92e94f0499bf793f65a11d79317700a55f117a91adcb416cf8bcea40ee613","first_computed_at":"2026-07-05T11:05:56.822050Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:56.822050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A0VwsN/KtZ6vuas/YO46kLzMz6aqPW0kpZ2r/k5ymje2wpl5lfbnRbsM9Z9X1vhrMiw2jAT/G8OauE9PSFtcDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:56.822477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14148","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e881fd0233a9a8739ff573d2d10d4aa05e4c6333ae762deac0e95b7d54c76b7d","sha256:33b5151f00774362ff3e06b73b90e31766238aa2723ac50505528dc96b195374"],"state_sha256":"05bdd0b879ef9320bfe3314303d552178a100d2b12e70b9a56aea1d388eb7024"}