Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.26434/chemrxiv-2025-nw9lt10.26434/chemrxiv-2025-nw9lt.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
doi: 10.26434/chemrxiv-2025-nw9lt10.26434/chemrxiv-2025-nw9lt. URL https://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-nw9lthttps://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-nw9lt. Xujian Wang, Haocheng Tang, Xiongwu Wu, Bernard Brooks, Junmei Wang, and Wan- Lu Li. Redefining computational enzymology with multiscale machine learning/molecular mechanics metadynamics: Deciphering catalytic mechanism and stereoselectivity in diels–alderases.ChemRxiv, 2025(1002), 2025b. doi: 10.26434/chemrxiv-2025-x2k6j10.26434/chemrxiv-2025-x2k6j. URL https://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-x2k6jhttps://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-x2k6j. Peter Eastman, Pavan Kumar Behara, David L. Dotson, Raimondas Galvelis, John E. Herr, Josh T. Hor- ton, Yuezhi Mao, John D. Chodera, Benjamin P. Pritchard, Yuanqing Wang, Gianni De Fabritiis, and Thomas E. Markland. Spice, a dataset of drug-like molecules and peptides for training machine learning potentials.Scientific Data, 10(1), 1
Evidence payload
{
"printed_excerpt": "doi: 10.26434/chemrxiv-2025-nw9lt10.26434/chemrxiv-2025-nw9lt. URL https://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-nw9lthttps://chemrxiv.org/doi/abs/10.26434/chemrxiv-2025-nw9lt. Xujian Wang, Haocheng Tang, Xiongwu Wu, Bernard Brooks, J",
"reconstructed_doi": "10.26434/chemrxiv-2025-nw9lt10.26434/chemrxiv-2025-nw9lt.URL",
"ref_index": 19,
"resolved_title": null,
"verdict_class": "incontrovertible"
}