{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T13:34:59Z","timestamp":1785418499722,"version":"3.56.0"},"reference-count":63,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T00:00:00Z","timestamp":1784851200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61202479"],"award-info":[{"award-number":["61202479"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"award":["61202479"],"award-info":[{"award-number":["61202479"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the rapid development of intelligent sensing systems, digital monitoring platforms, and multisource data acquisition technologies, accurate identification of operational states and potential risks from heterogeneous sensing signals has become an important research issue in artificial intelligence-driven sensing. Existing studies have primarily focused on either textual information understanding or behavioral data analysis, with limited attention paid to jointly modeling the consistency between textual declarations and executed behaviors. As a result, many potential risks that have not yet manifested as significant anomalies but already involve execution deviations are difficult to detect in a timely manner. To address this issue, a language\u2013behavior consistency sensing framework for multisource sensing signals is proposed. Textual sensing signals and behavioral sensing signals are mapped into a shared state logic space, and intelligent perception and quantitative analysis of deviations between textual states and executed states are achieved through a textual state logic extraction module, an observed behavioral state modeling module, and a language\u2013behavior consistency measurement module. Systematic experiments were conducted on a multisource sensing dataset containing public declaration texts, operation reports, behavioral logs, resource allocation records, and state-response information. The results show that the proposed method achieved the best performance in the baseline comparison experiment, with a language\u2013behavior consistency score (LCS) of 0.742, an AUC of 0.846, an F1-score of 0.811, a Precision of 0.802, and an explanation consistency score (ECS) of 0.821, clearly outperforming advanced methods such as FinBERT, LSTM, Multimodal Transformer, and the Contrastive Multimodal Model. These results demonstrate that language\u2013behavior consistency sensing can effectively fuse multisource sensing information and improve complex system state identification, anomaly early warning, and risk perception, providing an interpretable artificial intelligence-driven sensing framework with the potential to support industrial operation and maintenance, intelligent manufacturing, digital infrastructure management, and other intelligent monitoring scenarios.<\/jats:p>","DOI":"10.3390\/s26154708","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T10:38:41Z","timestamp":1784889521000},"page":"4708","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multisource Sensor Fusion and Large Language Model Integration for Explainable State Perception and Anomaly Awareness"],"prefix":"10.3390","volume":"26","author":[{"given":"Bocheng","family":"Zhou","sequence":"first","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"},{"name":"National School of Development, Peking University, Beijing 100871, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinze","family":"Xie","sequence":"additional","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiantian","family":"Chen","sequence":"additional","affiliation":[{"name":"National School of Development, Peking University, Beijing 100871, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingyan","family":"Ning","sequence":"additional","affiliation":[{"name":"National School of Development, Peking University, Beijing 100871, China"},{"name":"Beijing Forestry University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingwen","family":"Cao","sequence":"additional","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"},{"name":"National School of Development, Peking University, Beijing 100871, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yansong","family":"Dong","sequence":"additional","affiliation":[{"name":"National School of Development, Peking University, Beijing 100871, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manzhou","family":"Li","sequence":"additional","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"},{"name":"National School of Development, Peking University, Beijing 100871, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,7,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Al Amosh, H. (2025). The Power of Words: How CEO Speech Length and Frequency Shape ESG Transparency. Int. J. Bus. Commun., 23294884251361462.","DOI":"10.1177\/23294884251361462"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Bogataya, I., Evstafyeva, E., Lavrov, D., Korsakova, E., Mukhanova, N., and Solyannikova, S. (2022). Disclosure of information in risk reporting in the context of the sustainable development concept. Sustainability, 14.","DOI":"10.3390\/su14042300"},{"key":"ref_3","unstructured":"Sasso, A. (2024). Interpreter Agency Within the Economy of Language Services: Towards a New Paradigm for Community Interpreters. [Master\u2019s Thesis, Royal Roads University (Canada)]."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e00536","DOI":"10.1016\/j.jbvi.2025.e00536","article-title":"Decoding regulatory institutions: The stability-flexibility perceptions model for entrepreneurs and regulators","volume":"23","author":"Peralta","year":"2025","journal-title":"J. Bus. Ventur. Insights"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Alm, J., and Kasper, M. (2023). Using behavioural economics to understand tax compliance. Econ. Political Stud., 11.","DOI":"10.1080\/20954816.2022.2117676"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Yu, Q. (2025, May 04). Cycles of Power: Tools, Language, and the Limits of Institutional Ethics. Available online: https:\/\/ssrn.com\/abstract=5401245.","DOI":"10.2139\/ssrn.5401245"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1145\/3802053","article-title":"EPSC: Testing Database Management Systems via Equivalent Prepared Statement Construction","volume":"4","author":"Zhang","year":"2026","journal-title":"Proc. ACM Manag. Data"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1186\/s13561-025-00657-0","article-title":"Behavioural insights in the underuse of cardiac resynchronisation therapy in heart failure: A pilot survey on incentive perceptions among referring cardiologists","volume":"15","author":"Arbelo","year":"2025","journal-title":"Health Econ. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1838","DOI":"10.1037\/xge0001607","article-title":"Exploring variability in risk taking with large language models","volume":"153","author":"Bhatia","year":"2024","journal-title":"J. Exp. Psychol. Gen."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1111\/emre.12573","article-title":"Fast and high-quality decision-making: The role of behavioral integration","volume":"20","author":"Shepherd","year":"2023","journal-title":"Eur. Manag. Rev."},{"key":"ref_11","first-page":"1","article-title":"Robustness Guided Evaluation of Medical Vision Language Models for Adversarial Radiology Decision Support in Chest Imaging Workflows","volume":"16","author":"Ahmed","year":"2026","journal-title":"Int. Rev. Emerg. Sci. Knowl. Front. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1177\/00220027221116289","article-title":"Democratic peace and covert military force: An experimental test","volume":"67","author":"Carnegie","year":"2023","journal-title":"J. Confl. Resolut."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5917","DOI":"10.1007\/s40747-024-01446-8","article-title":"A survey on social network\u2019s anomalous behavior detection","volume":"10","author":"Xing","year":"2024","journal-title":"Complex Intell. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1257\/jep.20231365","article-title":"Text as Data in Economic Analysis","volume":"39","author":"Hassan","year":"2025","journal-title":"J. Econ. Perspect."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"32280","DOI":"10.1109\/ACCESS.2022.3160172","article-title":"A study of the application of weight distributing method combining sentiment dictionary and TF-IDF for text sentiment analysis","volume":"10","author":"Liu","year":"2022","journal-title":"IEEE Access"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"10727","DOI":"10.1287\/mnsc.2020.01180","article-title":"Textual factors: A scalable, interpretable, and data-driven approach to analyzing unstructured information","volume":"71","author":"Cong","year":"2025","journal-title":"Manag. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4279","DOI":"10.1287\/mnsc.2021.4052","article-title":"Consistency as a means to comparability: Theory and evidence","volume":"68","author":"Fang","year":"2022","journal-title":"Manag. Sci."},{"key":"ref_18","first-page":"42","article-title":"Interdisciplinary integration of economics and linguistics: Corpus-based vocabulary modelling for Financial English","volume":"47","author":"Zatserkovnyi","year":"2025","journal-title":"Teach. Lang. High. Educ. Establ. Present Stage Intersubject Relat."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/s11219-025-09722-7","article-title":"Comparative analysis of text mining and clustering techniques for assessing functional dependency between manual test cases","volume":"33","author":"Tahvili","year":"2025","journal-title":"Softw. Qual. J."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1080\/19312458.2024.2324789","article-title":"Automatically finding actors in texts: A performance review of multilingual named entity recognition tools","volume":"18","author":"Balluff","year":"2024","journal-title":"Commun. Methods Meas."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Subrahmanyam, S. (2025). Behavioral Analysis for Threat Detection. Handbook of AI-Driven Threat Detection and Prevention, CRC Press.","DOI":"10.1201\/9781003521020-6"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/EMJB-04-2021-0056","article-title":"The financial leverage\u2013financial performance relationship in the emerging market of Turkey: The role of financial distress risk and currency crisis","volume":"18","author":"Kalash","year":"2023","journal-title":"EuroMed J. Bus."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5069","DOI":"10.1109\/ACCESS.2023.3234974","article-title":"A review of abnormal behavior detection in activities of daily living","volume":"11","author":"Tay","year":"2023","journal-title":"IEEE Access"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s10614-021-10093-x","article-title":"Deviation-based model risk measures","volume":"59","author":"Berkhouch","year":"2022","journal-title":"Comput. Econ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1037\/bul0000429","article-title":"Committed (dis) honesty: A systematic meta-analytic review of the divergent effects of social commitment to individuals or honesty oaths on dishonest behavior","volume":"150","author":"Zickfeld","year":"2024","journal-title":"Psychol. Bull."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Wagner, L. (2026, March 07). The Endogeneity of Liquidity Risk in Leveraged Fixed-Income Systems. Available online: https:\/\/www.amazon.com\/Endogeneity-Liquidity-Leveraged-Fixed-Income-Systems\/dp\/B0GZNQ6MYC.","DOI":"10.2139\/ssrn.6719218"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/s10664-026-10858-8","article-title":"An evaluation study of large language models for addressing code quality issues","volume":"31","author":"Patcas","year":"2026","journal-title":"Empir. Softw. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1257\/jel.20241733","article-title":"Deep learning for economists","volume":"63","author":"Dell","year":"2025","journal-title":"J. Econ. Lit."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1146\/annurev-linguistics-031120-122924","article-title":"Semantic structure in deep learning","volume":"8","author":"Pavlick","year":"2022","journal-title":"Annu. Rev. Linguist."},{"key":"ref_30","unstructured":"Schmidt, T., Lange, K.R., Reccius, M., M\u00fcller, H., Roos, M., and Jentsch, C. (2025). Identifying economic narratives in large text corpora\u2014An integrated approach using Large Language Models. arXiv."},{"key":"ref_31","first-page":"52","article-title":"Language and Economics: The Linguistic Representation of Economic Consciousness Transformation","volume":"11","author":"Piyazbayeva","year":"2025","journal-title":"Eurasian J. Appl. Linguist."},{"key":"ref_32","unstructured":"Hamdan, K.Q.K. (2025). Extending Beneish\u2019s Model for Detecting Earnings Management: An Empirical Investigation of the Role of Corporate Governance, Earnings Quality, and Foreign Ownership. [Ph.D. Thesis, AAUP]."},{"key":"ref_33","first-page":"520","article-title":"Deep learning for economic transformation: A parametric review","volume":"35","author":"Tariq","year":"2024","journal-title":"Indones. J. Electr. Eng. Comput. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S1053837221000535","article-title":"The birth of homo \u0153conomicus: The methodological debate on the economic agent from JS Mill to V. Pareto","volume":"45","author":"Bee","year":"2023","journal-title":"J. Hist. Econ. Thought"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"6443","DOI":"10.1007\/s13132-025-02764-z","article-title":"How startups can decode shifting consumer preferences in the digital era: Leveraging behavioral insights for agile business model innovation","volume":"17","author":"Samara","year":"2026","journal-title":"J. Knowl. Econ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1044\/2023_LSHSS-22-00141","article-title":"A critical analysis of standardized testing in speech and language therapy","volume":"54","author":"Nair","year":"2023","journal-title":"Lang. Speech Hear. Serv. Sch."},{"key":"ref_37","first-page":"63469","article-title":"Twinmarket: A scalable behavioral and social simulation for financial markets","volume":"38","author":"Yang","year":"2026","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1146\/annurev-financial-012820-032249","article-title":"Textual Analysis in Finance","volume":"12","author":"Loughran","year":"2020","journal-title":"Annu. Rev. Financ. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1093\/qje\/qjw024","article-title":"Measuring Economic Policy Uncertainty","volume":"131","author":"Baker","year":"2016","journal-title":"Q. J. Econ."},{"key":"ref_40","unstructured":"Hartley, E. (2025). Narratives to Numbers: Large Language Models and Economic Policy Uncertainty. arXiv."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1007\/s00181-024-02620-0","article-title":"The power of news data in forecasting tail risk: Evidence from China","volume":"67","author":"Ma","year":"2024","journal-title":"Empir. Econ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Matera, G. (2025). Corporate Earnings Calls and Analyst Beliefs. arXiv.","DOI":"10.2139\/ssrn.5763085"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1111\/fmii.12181","article-title":"Sentimental Sustainability: Does What Companies Say Tell More Than What Companies Do?","volume":"32","author":"Ignatov","year":"2023","journal-title":"Financ. Mark. Inst. Instrum."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1257\/jel.20181020","article-title":"Text as Data","volume":"57","author":"Gentzkow","year":"2019","journal-title":"J. Econ. Lit."},{"key":"ref_45","unstructured":"Garcia, D., Hu, X., and Rohrer, M. (2022). The Colour of Finance Words, Social Science Research Network. Technical Report 3630898."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1111\/1911-3846.12832","article-title":"FinBERT\u2014A Large Language Model for Extracting Information from Financial Text","volume":"40","author":"Huang","year":"2023","journal-title":"Contemp. Account. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"100652","DOI":"10.1016\/j.jbef.2022.100652","article-title":"Journal of Behavioral and Experimental Finance: A bibliometric overview","volume":"34","author":"Kumar","year":"2022","journal-title":"J. Behav. Exp. Financ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"114728","DOI":"10.1016\/j.jbusres.2024.114728","article-title":"Climate Change and Shareholder Value: Evidence from Textual Analysis and Trump\u2019s Unexpected Victory","volume":"180","author":"Chatjuthamard","year":"2024","journal-title":"J. Bus. Res."},{"key":"ref_49","unstructured":"Chen, Y., Zhao, C., Xu, Y., Nie, C., and Zhang, Y. (2025). Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review. arXiv."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"103948","DOI":"10.1016\/j.jfineco.2024.103948","article-title":"Broken Promises, Competition, and Capital Allocation in the Mutual Fund Industry","volume":"162","author":"Abis","year":"2024","journal-title":"J. Financ. Econ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1145\/3688801","article-title":"CrossFormer: Cross-Modal Representation Learning via Heterogeneous Graph Transformer","volume":"20","author":"Liang","year":"2024","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"22290","DOI":"10.1609\/aaai.v39i21.34384","article-title":"BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning","volume":"Volume 39","author":"Zareapoor","year":"2025","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"17153","DOI":"10.1109\/JIOT.2025.3538938","article-title":"DeepILS: Towards Accurate Domain Invariant AIoT-enabled Inertial Localization System","volume":"12","author":"Tariq","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Li, Z., Wan, G., Chen, K., Chen, Y., Zhao, Y., Torr, P., Ye, G., Yin, Z., and Chai, H. (2026). Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation. arXiv.","DOI":"10.18653\/v1\/2026.findings-acl.2006"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Biancotti, C., Camassa, C., Coletta, A., Giudice, O., and Glielmo, A. (2025). Chat Bankman-Fried: An Exploration of LLM Alignment in Finance. arXiv.","DOI":"10.2139\/ssrn.5269057"},{"key":"ref_56","unstructured":"Araci, D. (2019). Finbert: Financial sentiment analysis with pre-trained language models. arXiv."},{"key":"ref_57","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Chen, T., and Guestrin, C. (2016). Xgboost: A scalable tree boosting system. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM.","DOI":"10.1145\/2939672.2939785"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"ref_60","first-page":"16","article-title":"An approach to verifying completeness and consistency in a rule-based expert system","volume":"3","author":"Suwa","year":"1982","journal-title":"AI Mag."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., and Zhou, Z.H. (2008). Isolation forest. Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, IEEE.","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Tsai, Y.H.H., Bai, S., Liang, P.P., Kolter, J.Z., Morency, L.P., and Salakhutdinov, R. (2019). Multimodal transformer for unaligned multimodal language sequences. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics.","DOI":"10.18653\/v1\/P19-1656"},{"key":"ref_63","unstructured":"Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., and Clark, J. (2021). Learning transferable visual models from natural language supervision. Proceedings of the International Conference on Machine Learning; PmLR, ML Research Press."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/15\/4708\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T10:44:03Z","timestamp":1784889843000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/15\/4708"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,24]]},"references-count":63,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["s26154708"],"URL":"https:\/\/doi.org\/10.3390\/s26154708","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,24]]}}}