Check BibTeX entries for completeness, DOI resolution, broken links. Verify required fields per entry type (article, book, inproceedings), resolve and validate DOIs via CrossRef API, check URL accessibility, flag duplicate entries, missing abstracts, inconsistent formatting. Use when preparing manuscript bibliography for journal submission, auditing shared .bib file before project milestone, after merging bibliographies from multiple sources, when citations render incorrect, or as CI check on...
Scanned 9/3/2026
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---
name: validate-references
locale: caveman
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, broken links.
Verify required fields per entry type (article, book, inproceedings), resolve
and validate DOIs via CrossRef API, check URL accessibility, flag
duplicate entries, missing abstracts, inconsistent formatting. Use when
preparing manuscript bibliography for journal submission, auditing shared
.bib file before project milestone, after merging bibliographies from
multiple sources, when citations render incorrect, or as 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
---
# Validate References
Check BibTeX bibliography entries for completeness, accuracy, consistency.
Skill covers verifying required fields per entry type, resolving DOIs via
CrossRef API, checking URL accessibility, detecting duplicate entries,
producing structured validation report flagging issues by severity.
Ensures .bib files publication-ready before rendering.
## When Use
- Preparing manuscript bibliography for journal submission
- Auditing shared .bib file for quality before project milestone
- After merging bibliographies from multiple sources
- Citations render incorrect, need diagnose .bib issues
- As CI check on .bib files in version-controlled projects
## Inputs
- **Required**: Path to .bib file
- **Optional**: Validation level (`basic`, `standard`, `strict`; default: `standard`)
- **Optional**: Whether to check DOI resolution online (default: `TRUE`)
- **Optional**: Whether to check URL accessibility (default: `TRUE`)
- **Optional**: Output report path (default: prints to console)
- **Optional**: CrossRef API email for polite pool (recommended for large files)
## Steps
### Step 1: Install and Load Required Packages
```r
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)
```
**Got:** All packages load without errors.
**If err:** httr2 unavailable? Install with `install.packages("httr2")`.
For systems without curl headers: `sudo apt install libcurl4-openssl-dev`.
### Step 2: Parse and Inventory Bibliography
```r
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]]))
}
```
**Got:** Summary of entry types (article, book, inproceedings, etc.) and total count matching number of `@type{` blocks in file.
**If err:** Parsing errors indicate malformed BibTeX. Check unmatched braces, missing commas between fields, or invalid UTF-8 characters.
### Step 3: Validate Required Fields per Entry Type
```r
# 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)))
```
**Got:** List of issues where required fields missing. Zero issues for well-maintained bibliography.
**If err:** Step runs locally and shouldn't fail. If it does, check .bib file parsed correctly in Step 2.
### Step 4: Resolve and Validate DOIs
```r
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)))
```
**Got:** Each DOI resolves successful (HTTP 200 from CrossRef). Entries without DOIs flagged as informational.
**If err:** Network errors or rate limiting produce warnings rather than hard failures. Set `email` parameter for higher rate limits from CrossRef polite pool.
### Step 5: Check URL Accessibility
```r
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)))
```
**Got:** All URLs return HTTP 200 (or 301/302 redirects). Broken links flagged.
**If err:** Some servers block HEAD requests. Retry with GET for failed HEAD checks. Timeout errors common for slow academic servers.
### Step 6: Detect Duplicate Entries
```r
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]]$title, 1, 60))
)
}
}
seen <- c(seen, as.character(i))
}
issues
}
dup_issues <- detect_duplicates(bib)
message(sprintf("Duplicate detection: %d issues found", length(dup_issues)))
```
**Got:** Zero duplicates for clean bibliography. Any detected duplicates flagged with specific entry keys involved.
### Step 7: Generate Validation Report
```r
generate_report <- function(all_issues, bib, output_file = NULL) {
errors <- Filter(function(x) x$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")
```
**Got:** Structured markdown report listing all issues grouped by severity.
## Check
- [ ] All entries have required fields for their type (no errors in field check)
- [ ] All DOIs resolve to valid CrossRef records
- [ ] No duplicate DOIs exist in bibliography
- [ ] All URLs accessible (HTTP 200 or redirect)
- [ ] Validation report generated without R errors
- [ ] Zero errors in report for publication-ready bibliography
## Pitfalls
- **DOI format inconsistency**: DOIs may appear as `10.1234/...`, `https://doi.org/10.1234/...`, or `doi:10.1234/...`. Normalize before comparing
- **CrossRef rate limiting**: Unauthenticated requests limited to ~50/second. Always use `email` parameter to join polite pool for higher limits
- **Transient URL failures**: Academic servers occasionally timeout. Retry failed URLs once before flagging as broken
- **Entry type variations**: BibLaTeX uses `@online` where BibTeX uses `@misc`. Validator should handle both
- **False positive duplicates**: Entries like "Introduction" or "Methods" as titles trigger fuzzy matching. Review flagged duplicates manual
- **Missing DOIs for older works**: Pre-2000 publications often lack DOIs. Flag as informational, not errors
## See Also
- `manage-bibliography` - fix issues found by this validator (dedup, add fields)
- `format-citations` - format validated entries into styled citations
- `../reporting/format-apa-report` - APA reports need complete, validated references
- `../r-packages/write-vignette` - vignettes with citations need valid .bib entries
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