---

name: validate-references locale: wenyan source_locale: en source_commit: 82c77053 fence_basis_commit: 82c77053 translator: "Julius Brussee homage — caveman" translation_date: "2026-05-03" description: > Check BibTeX entries for completeness, DOI resolution, and broken links. Verify required fields per entry type (article, book, inproceedings), resolve and validate DOIs via the CrossRef API, check URL accessibility, and flag duplicate entries, missing abstracts, and inconsistent formatting. Use when preparing a manuscript bibliography for journal submission, auditing a shared .bib file before a project milestone, after merging bibliographies from multiple sources, when citations render incorrectly, or as a CI check on version-controlled .bib files. license: MIT allowed-tools: Read Write Edit Bash Grep Glob metadata: author: Philipp Thoss version: "1.0" domain: citations complexity: intermediate language: R tags: citations, validation, doi, bibtex, quality

驗參考

察 BibTeX 之目以求全、準、一。此術涵：依目類驗必域、經 CrossRef API 解 DOI、察 URL 之達、識重目、並出依嚴重分疾之結構驗報。確 .bib 文於渲前已備可發。

用時

• 為刊呈備稿之參考
• 計里碑前審共 .bib 文之質
• 合多源之參考之後
• 引現訛而需診 .bib 之疾
• 為版控項目中 .bib 文之 CI 察

入

• 必要：.bib 文之徑
• 可選：驗層（basic、standard、strict；默：standard）
• 可選：是否在線察 DOI 解（默：TRUE）
• 可選：是否察 URL 之達（默：TRUE）
• 可選：出報之徑（默：印於控）
• 可選：CrossRef API 之郵以入禮池（大文宜）

法

第一步：裝載諸需包

required_packages <- c("RefManageR", "httr2", "curl")
missing <- required_packages[!vapply(required_packages, requireNamespace,
                                     logical(1), quietly = TRUE)]
if (length(missing) > 0) install.packages(missing)

library(RefManageR)

得：諸包載而無訛。

敗則：httr2 不可得者，以 install.packages("httr2") 裝。無 curl 頭之系統：sudo apt install libcurl4-openssl-dev。

第二步：析而盤點

bib <- RefManageR::ReadBib("references.bib", check = FALSE)
message(sprintf("Loaded %d entries from references.bib", length(bib)))

# Inventory entry types
entry_types <- vapply(bib, function(x) tolower(attr(x, "bibtype")), character(1))
type_counts <- sort(table(entry_types), decreasing = TRUE)
message("Entry types:")
for (type in names(type_counts)) {
  message(sprintf("  %s: %d", type, type_counts[[type]]))
}

得：諸目類之結（article、book、inproceedings 等）與總計合 @type{ 塊之數。

敗則：析訛示 BibTeX 形劣。察括不配、域間缺逗、或 UTF-8 字無效。

第三步：依目類驗必域

# BibTeX required fields by entry type
required_fields <- list(
  article       = c("author", "title", "journal", "year"),
  book          = c("author", "title", "publisher", "year"),
  inproceedings = c("author", "title", "booktitle", "year"),
  incollection  = c("author", "title", "booktitle", "publisher", "year"),
  phdthesis     = c("author", "title", "school", "year"),
  mastersthesis = c("author", "title", "school", "year"),
  techreport    = c("author", "title", "institution", "year"),
  misc          = c("author", "title", "year"),
  unpublished   = c("author", "title", "note")
)

validate_fields <- function(bib) {
  issues <- list()
  for (i in seq_along(bib)) {
    key <- names(bib)[i]
    entry_type <- tolower(attr(bib[[i]], "bibtype"))
    req <- required_fields[[entry_type]]
    if (is.null(req)) {
      issues[[length(issues) + 1]] <- list(
        key = key, severity = "warning",
        message = sprintf("Unknown entry type: %s", entry_type)
      )
      next
    }
    for (field in req) {
      value <- bib[[i]][[field]]
      if (is.null(value) || !nzchar(trimws(as.character(value)))) {
        issues[[length(issues) + 1]] <- list(
          key = key, severity = "error",
          message = sprintf("Missing required field: %s (type: %s)", field, entry_type)
        )
      }
    }
  }
  issues
}

field_issues <- validate_fields(bib)
message(sprintf("Field validation: %d issues found", length(field_issues)))

得：必域缺者之疾列。良護之參考為零疾。

敗則：此步本地行而宜不敗。若敗，驗第二步 .bib 之析正。

第四步：解而驗 DOI

validate_dois <- function(bib, email = NULL) {
  issues <- list()

  # Set polite API headers
  headers <- list(`User-Agent` = "R-bibliography-validator/1.0")
  if (!is.null(email)) {
    headers[["mailto"]] <- email
  }

  for (i in seq_along(bib)) {
    key <- names(bib)[i]
    doi <- bib[[i]]$doi
    if (is.null(doi) || !nzchar(doi)) {
      issues[[length(issues) + 1]] <- list(
        key = key, severity = "info",
        message = "No DOI present"
      )
      next
    }

    # Normalize DOI
    doi <- gsub("^https?://doi\\.org/", "", doi)
    doi <- gsub("^doi:", "", doi, ignore.case = TRUE)
    doi <- trimws(doi)

    # Resolve via CrossRef
    tryCatch({
      resp <- httr2::request(sprintf("https://api.crossref.org/works/%s", doi)) |>
        httr2::req_headers(!!!headers) |>
        httr2::req_timeout(10) |>
        httr2::req_perform()

      if (httr2::resp_status(resp) != 200) {
        issues[[length(issues) + 1]] <- list(
          key = key, severity = "error",
          message = sprintf("DOI does not resolve: %s (HTTP %d)", doi,
                            httr2::resp_status(resp))
        )
      }
    }, error = function(e) {
      issues[[length(issues) + 1]] <<- list(
        key = key, severity = "warning",
        message = sprintf("DOI check failed for %s: %s", doi, e$message)
      )
    })

    Sys.sleep(0.5)  # Rate limiting
  }
  issues
}

# Only run online checks if requested
doi_issues <- validate_dois(bib, email = "your.email@example.com")
message(sprintf("DOI validation: %d issues found", length(doi_issues)))

得：每 DOI 解成（CrossRef 之 HTTP 200）。無 DOI 之目標為信。

敗則：網訛或限頻生警而非硬敗。設 email 參以入 CrossRef 禮池得高限。

第五步：察 URL 之達

validate_urls <- function(bib) {
  issues <- list()

  for (i in seq_along(bib)) {
    key <- names(bib)[i]
    url <- bib[[i]]$url

    if (is.null(url) || !nzchar(url)) next

    tryCatch({
      resp <- httr2::request(url) |>
        httr2::req_method("HEAD") |>
        httr2::req_timeout(10) |>
        httr2::req_error(is_error = function(resp) FALSE) |>
        httr2::req_perform()

      status <- httr2::resp_status(resp)
      if (status >= 400) {
        issues[[length(issues) + 1]] <- list(
          key = key, severity = "warning",
          message = sprintf("URL returned HTTP %d: %s", status, url)
        )
      }
    }, error = function(e) {
      issues[[length(issues) + 1]] <<- list(
        key = key, severity = "warning",
        message = sprintf("URL unreachable: %s (%s)", url, e$message)
      )
    })

    Sys.sleep(0.3)
  }
  issues
}

url_issues <- validate_urls(bib)
message(sprintf("URL validation: %d issues found", length(url_issues)))

得：諸 URL 返 HTTP 200（或 301/302 重導）。斷連標之。

敗則：諸服阻 HEAD 請。HEAD 敗者以 GET 重試。慢學服超時為常。

第六步：察重目

detect_duplicates <- function(bib) {
  issues <- list()

  # Check for duplicate DOIs
  dois <- vapply(bib, function(x) {
    d <- x$doi
    if (is.null(d)) NA_character_ else tolower(trimws(d))
  }, character(1))

  doi_table <- table(dois[!is.na(dois)])
  dup_dois <- names(doi_table[doi_table > 1])
  for (d in dup_dois) {
    keys <- names(bib)[which(dois == d)]
    issues[[length(issues) + 1]] <- list(
      key = paste(keys, collapse = ", "), severity = "error",
      message = sprintf("Duplicate DOI %s in entries: %s", d,
                        paste(keys, collapse = ", "))
    )
  }

  # Check for duplicate titles (fuzzy)
  titles <- vapply(bib, function(x) {
    t <- x$title
    if (is.null(t)) NA_character_ else tolower(gsub("[^a-z0-9 ]", "", tolower(t)))
  }, character(1))

  seen <- character(0)
  for (i in seq_along(titles)) {
    if (is.na(titles[i])) next
    for (j in seen) {
      if (identical(titles[i], titles[as.integer(j)])) {
        issues[[length(issues) + 1]] <- list(
          key = sprintf("%s, %s", names(bib)[as.integer(j)], names(bib)[i]),
          severity = "warning",
          message = sprintf("Possible duplicate titles: '%s'",
                            substr(bib[[i]]$title, 1, 60))
        )
      }
    }
    seen <- c(seen, as.character(i))
  }

  issues
}

dup_issues <- detect_duplicates(bib)
message(sprintf("Duplicate detection: %d issues found", length(dup_issues)))

得：清參考為零重。所察重者標其涉之目鍵。

第七步：生驗報

generate_report <- function(all_issues, bib, output_file = NULL) {
  errors   <- Filter(function(x) x$severity == "error", all_issues)
  warnings <- Filter(function(x) x$severity == "warning", all_issues)
  infos    <- Filter(function(x) x$severity == "info", all_issues)

  lines <- c(
    "# Bibliography Validation Report",
    "",
    sprintf("**File**: references.bib"),
    sprintf("**Entries**: %d", length(bib)),
    sprintf("**Date**: %s", Sys.Date()),
    "",
    sprintf("## Summary: %d errors, %d warnings, %d info",
            length(errors), length(warnings), length(infos)),
    ""
  )

  if (length(errors) > 0) {
    lines <- c(lines, "## Errors", "")
    for (issue in errors) {
      lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
    }
    lines <- c(lines, "")
  }

  if (length(warnings) > 0) {
    lines <- c(lines, "## Warnings", "")
    for (issue in warnings) {
      lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
    }
    lines <- c(lines, "")
  }

  report_text <- paste(lines, collapse = "\n")

  if (!is.null(output_file)) {
    writeLines(report_text, output_file)
    message(sprintf("Report written to %s", output_file))
  }

  cat(report_text)
  invisible(all_issues)
}

all_issues <- c(field_issues, doi_issues, url_issues, dup_issues)
generate_report(all_issues, bib, output_file = "validation-report.md")

得：結構 markdown 報，依嚴重列諸疾。

驗

• 諸目皆有其類之必域（域察無訛）
• 諸 DOI 皆解為有效 CrossRef 錄
• 參考中無重 DOI
• 諸 URL 可達（HTTP 200 或重導）
• 驗報生而無 R 訛
• 為可發之參考者，報中零訛

陷

• DOI 形不一：DOI 或為 10.1234/...、https://doi.org/10.1234/...、或 doi:10.1234/...。較前先範化
• CrossRef 限頻：未證請限約 50/秒。常用 email 參入禮池得高限
• URL 暫敗：學服偶超時。失之 URL 標斷前重試一次
• 目類變：BibLaTeX 用 @online，BibTeX 用 @misc。驗者宜處兩種
• 假重：「Introduction」「Methods」之題觸模糊配。手察所標重
• 舊作無 DOI：2000 年前之發常無 DOI。標為信非訛

參

• manage-bibliography - 修此驗者所發之疾（去重、補域）
• format-citations - 已驗之目格式為樣引
• ../reporting/format-apa-report - APA 報需全、已驗之參考
• ../r-packages/write-vignette - 含引之 vignette 需有效 .bib 之目