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A longer candidate (10.1007/s11704-024-40678-2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/s11704-024-40678-2","detected_arxiv_id":null,"ref_index":40,"audited_at":"2026-08-01T12:51:01.405314Z"},{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TBDATA.2025.3593370) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1109/TBDATA.2025.3593370","detected_arxiv_id":null,"ref_index":51,"audited_at":"2026-08-01T12:51:01.405314Z"},{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2023.acl-long.557) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.18653/v1/2023.acl-long.557","detected_arxiv_id":null,"ref_index":2023,"audited_at":"2026-08-01T12:51:01.405314Z"},{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s42256-024-00832-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1038/s42256-024-00832-8","detected_arxiv_id":null,"ref_index":4,"audited_at":"2026-08-01T12:51:01.405314Z"},{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41586-026-10652-y) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1038/s41586-026-10652-y","detected_arxiv_id":null,"ref_index":19,"audited_at":"2026-08-01T12:51:01.405314Z"},{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. 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A longer candidate (10.18653/v1/2023.acl-long.557) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge- Intensive Multi-Step Questions. InProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computa","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":2023,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/","reconstructed_doi":"10.18653/v1/2023.acl-long.557"},"severity":"advisory","ref_index":2023,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2023.acl-long.557","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"853e82739fb88d91fe222f39397243a30df87ebf654504d32dd6c62a7fa202eb","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":15836,"event_type":"pith.integrity.v1","payload_sha256":"68122aefb4cd8fdc111a828622714acdfe44ab2244bf905cf1a9c7a2ae7ffb73","signature_b64":"CGAQZ4abQxMzs9kSWkznWAxuS3V3AaVRMLDRfbrF7Wr/Rw83gs+7poHzdvBZ3vjNuln0OefvcLnGzjLoNmdjDQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-08-01T12:53:38.197812+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TBDATA.2025.3593370) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Jordan W. Suchow, Denghui Zhang, and Khaldoun Khashanah. 2025. FinMem: A Performance- Enhanced LLM Trading Agent With Layered Memory and Character Design. IEEE Transactions on Big D","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":51,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/tbdata.2025","reconstructed_doi":"10.1109/TBDATA.2025.3593370"},"severity":"advisory","ref_index":51,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TBDATA.2025.3593370","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8a8beb0d9c7f8a94281f2264e7c8a842e87b9cf192276e0f2f33d8729ddafdd3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":15835,"event_type":"pith.integrity.v1","payload_sha256":"a44bfa425da2eb1f2d82e4da64540720ba55874f00f717792e5535bf34a49886","signature_b64":"EtsTBucCd18BsnY8L8uYWEpWWJ3XAib7Go7Wee2F308Zq3jEWJzWm9/N4YBXvHRBlVLUWC6jeHflj3MbhW1UAQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-08-01T12:53:38.021513+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s11704-024-40678-2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, and Ji-Rong Wen. 2025. Tool Learning with Large Language Models: A Survey.Frontiers of Computer Science19, 8 (2025), 198343. doi:10.1007/s11704- 024-40678-","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":40,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s11704-","reconstructed_doi":"10.1007/s11704-024-40678-2"},"severity":"advisory","ref_index":40,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s11704-024-40678-2","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"36355a76b0a4805b61af2c738c5239d0bf9b50de199a2446a3455431c582c62f","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":15834,"event_type":"pith.integrity.v1","payload_sha256":"404b07e3b3be5259ec83fd274021ddc3bf577e435c078efa2ca58ee41a3aef26","signature_b64":"wHJpYljWeTkqaNKwSc15ew2bqWk0Ny+TpH6yGKOnaQp8t6gmzea3kAFAXJaQrJm9fBZV8fyysDav86hIrwgCAQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-08-01T12:53:37.801638+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.emnlp-main.1042) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long Le, Swaroop Mishra, Hos- sein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, and Hamid Palangi. 2025. PlanGEN: A Multi-Agent Frame- work for ","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":39,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2025.em","reconstructed_doi":"10.18653/v1/2025.emnlp-main.1042"},"severity":"advisory","ref_index":39,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2025.emnlp-main.1042","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"b4ec636db111b4fe079ea8cd3cd33aa5398bfc1628634c07ff5c9d98c7ed947a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":15833,"event_type":"pith.integrity.v1","payload_sha256":"e0ed4867ba26739cf8bf58f5b5760fd27e2f4eff14c96fc6b0256c8e005e705b","signature_b64":"MAx3L8rwAG8KmpFdDBgzInoVDMMFEb97wRlK3Y2E1DZEKlw8LzeSGv7kZDRbYJn+6h3wSCh2sOESf+QDsXc8AQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-08-01T12:53:37.626180+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41586-026-10652-y) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Ali E. Ghareeb, Benjamin Chang, Ludovico Mitchener, Angela Yiu, Cara- lyn J. Szostkiewicz, Dmytro Shved, Gavin J. Gyimesi, Jon M. Laurent, Saman- tha M. Wright, Muhammed T. Razzak, Andrew D. White, Silvia C. Finnemann, Michaela M. Hinks, an","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":19,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41586-","reconstructed_doi":"10.1038/s41586-026-10652-y"},"severity":"advisory","ref_index":19,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41586-026-10652-y","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"9b356bfa058d41f7de166ca56d5851b1a905b722a6c0342a24d4813ec7205f4a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":15832,"event_type":"pith.integrity.v1","payload_sha256":"8a72387d535fd427d2e7d5c80e719216afa113c25ddbd2522c1d059619d2721d","signature_b64":"rwkxYIV2XZlolUi6dZgE8YHr0/ET5TaiStzEodj/OKsUOzZN9ftptSHMof7wHI4vcgj5ycQU6BsqZpxjAzrlAw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-08-01T12:53:37.458279+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s42256-024-00832-8) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D. White, and Philippe Schwaller. 2024. Augmenting large language models with chemistry tools.Nature Machine Intelligence6 (2024), 525–535. doi:10.1038/s42256-024- 00832-8","arxiv_id":"2607.19336","detector":"doi_compliance","evidence":{"ref_index":4,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s42256-024-","reconstructed_doi":"10.1038/s42256-024-00832-8"},"severity":"advisory","ref_index":4,"audited_at":"2026-08-01T12:51:01.405314Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s42256-024-00832-8","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"25b43a2c3c93d0d520a57c39176c94cbcb93fbc1a80464cc709245ca48721644","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2607.19336/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}