{"paper":{"title":"Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CE","cs.LG"],"primary_cat":"cs.CL","authors_text":"Aoran Wang, Ben Fei, Bowen Zhou, Bozitao Zhong, Chen Tang, Encheng Su, Fang Wu, Hongxia Hao, Jiabei Xiao, Jiaheng Liu, Jianyu Wu, Jielan Li, Jinouwen Zhang, Jun Yao, Lei Bai, Liang Hong, Lintao Wang, Mingyue Zheng, Pan Tan, Pengze Li, Phil Torr, Shixiang Tang, Wanli Ouyang, Xiangyu Yue, Xinzhu Ma, Yan Lu, Yizhou Wang, Yuqi Shi, Zhangyang Gao","submitted_at":"2026-07-08T17:59:59Z","abstract_excerpt":"Structure-property relationships are foundational to biology, chemistry and materials science, where function, reactivity and physical response emerge from spatial, chemical and periodic organization. Mechanistically explaining these relationships requires interpreting structural evidence through scientific principles and physical constraints, from stereochemistry and bonding to symmetry, energetics and periodic order. However, applying artificial intelligence to this process presents a joint challenge of representation and reasoning: models must preserve domain-native structural information w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07708","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/2607.07708/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"}