Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.21468/scipost-physlectnotes.5) 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
J. Hauschild and F. Pollmann, Efficient numerical sim- ulations with tensor networks: Tensor network python (tenpy), SciPost Physics Lecture Notes 10.21468/scipost- physlectnotes.5 (2018)
Evidence payload
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"reconstructed_doi": "10.21468/scipost-physlectnotes.5",
"ref_index": 67,
"resolved_title": null,
"verdict_class": "incontrovertible"
}