diff --git a/extras/UpdatePhenotypes.R b/extras/UpdatePhenotypes.R
index 60ccb866..90c833f1 100644
--- a/extras/UpdatePhenotypes.R
+++ b/extras/UpdatePhenotypes.R
@@ -371,7 +371,7 @@ for (i in (1:nrow(cohortRecord))) {
   ))
 
   parsed <-
-    PrivateScripts::parseCohortDefinitionSpecifications(cohortDefinition = cohortJson |>
+    CirceComparator::parseCohortDefinitionSpecifications(cohortDefinition = cohortJson |>
       RJSONIO::fromJSON(digits = 23))
   if (nrow(parsed) > 0) {
     cohortRecordAugmented[[i]] <- cohortRecordUnit |>
diff --git a/extras/VP Cipher Mapping.R b/extras/VP Cipher Mapping.R
new file mode 100644
index 00000000..3e26ada3
--- /dev/null
+++ b/extras/VP Cipher Mapping.R	
@@ -0,0 +1,135 @@
+#connection
+cdmSource <-
+  OhdsiHelpers::getCdmSource(cdmSources = cdmSources, database = "truven_ccae")
+connectionDetails <-
+  OhdsiHelpers::createConnectionDetails(cdmSources = cdmSources, database = "truven_ccae")
+connection <-
+  DatabaseConnector::connect(connectionDetails = connectionDetails)
+
+phenotypeLog <- PhenotypeLibrary::getPhenotypeLog() |>
+  dplyr::filter(nchar(ohdsiForumPost) > 10) |>
+  dplyr::filter(stringr::str_detect(string = .data$contributors, pattern = "Gowtham")) |>
+  dplyr::arrange(dplyr::desc(cohortId)) |>
+  dplyr::mutate(rn = dplyr::row_number()) |>
+  dplyr::filter(rn <= 5) |>
+  dplyr::select(-rn) |>
+  dplyr::arrange(cohortId)
+
+conceptSetLog <-
+  PhenotypeLibrary::getPlConceptDefinitionSet(cohortIds = phenotypeLog$cohortId)
+
+uniqueConceptSetIds <- conceptSetLog |>
+  dplyr::select(uniqueConceptSetId,
+                conceptSetExpression) |>
+  dplyr::distinct()
+
+
+sourceCodes <- c()
+
+for (i in (1:nrow(uniqueConceptSetIds))) {
+  uniqueConceptSetId <- uniqueConceptSetIds[i, ]
+  
+  conceptSetExpression <-
+    uniqueConceptSetId$conceptSetExpression |>
+    RJSONIO::fromJSON(digits = 23)
+  
+  resolvedConceptSets <-
+    ConceptSetDiagnostics::resolveConceptSetExpression(
+      conceptSetExpression = conceptSetExpression,
+      connection = connection,
+      vocabularyDatabaseSchema = cdmSource$vocabDatabaseSchemaFinal
+    ) |>
+    dplyr::mutate(uniqueConceptSetId = uniqueConceptSetId$uniqueConceptSetId)
+  
+  mappedSource <-
+    ConceptSetDiagnostics::getMappedSourceConcepts(
+      conceptIds = resolvedConceptSets$conceptId |> unique(),
+      connection = connection,
+      vocabularyDatabaseSchema = cdmSource$vocabDatabaseSchemaFinal
+    ) |>
+    dplyr::mutate(uniqueConceptSetId = uniqueConceptSetId$uniqueConceptSetId)
+  
+  sourceCodes <- dplyr::bind_rows(
+    resolvedConceptSets |>
+      dplyr::mutate(type = 'resolvedConceptSets'),
+    mappedSource |>
+      dplyr::mutate(type = 'mappedSource')
+  )
+}
+
+
+
+sourceCodes <- dplyr::bind_rows(sourceCodes)
+
+sourceCodesInEntryEvent <-
+  sourceCodes |>
+  dplyr::filter(type == "mappedSource") |>
+  dplyr::filter(vocabularyId %in% c("ICD10CM", "ICD9CM", "ICD9Proc", "ICD10Proc")) |>
+  dplyr::inner_join(
+    conceptSetLog |>
+      dplyr::filter(conceptSetUsedInEntryEvent == 1) |>
+      dplyr::select(cohortId,
+                    uniqueConceptSetId) |>
+      dplyr::distinct()
+  ) |>
+  dplyr::select(cohortId,
+                vocabularyId,
+                conceptCode) |>
+  dplyr::arrange(cohortId,
+                 vocabularyId,
+                 conceptCode) |>
+  dplyr::mutate(
+    conceptCode = paste0("'", conceptCode, "'"),
+    vocabularyId = paste0("cipher", vocabularyId)
+  ) |>
+  dplyr::group_by(cohortId,
+                  vocabularyId) |>
+  dplyr::summarise(code = paste0(conceptCode, collapse = ", ")) |>
+  dplyr::ungroup() |>
+  tidyr::pivot_wider(id_cols = cohortId,
+                     names_from = vocabularyId,
+                     values_from = code)
+
+
+
+vaCipherMapping <- phenotypeLog |>
+  dplyr::mutate(
+    cipherOhdsiPhenotypeLibraryVersion = addedVersion,
+    cipherOhdsiCohortId = cohortId,
+    cipherCategory = domainsInEntryEvents,
+    cipherFullName = cohortNameLong,
+    cipherKeyWords = hashTag,
+    cipherClassification = dplyr::if_else(
+      condition = stringr::str_detect(string = domainsInEntryEvents,
+                                      pattern = 'Condition'),
+      true = 'Disease',
+      false = 'Other'
+    ),
+    cipherDiseaseDomain = "",
+    # cannot systematically map because not controlled vocabulary
+    cipherAuthor = contributors,
+    cipherContact = contributorOrcIds,
+    cipherPublication = ohdsiForumPost,
+    cipherLink = ohdsiForumPost,
+    cipherAcknowledgement = ohdsiForumPost,
+    cipherVaDeveloped = 'No',
+    cipherDataSources = 'OMOP (Observational Medical Outcomes Partnership)',
+    cipherOtherSource = '',
+    cipherAlgorithmPurpose = 'Research',
+    cipherContext = 'Research',
+    cipherOtherDescription = '',
+    cipherPhenotypeUse = 'Primary Outcome/Exposure',
+    cipherPhenotypeDescription = logicDescription,
+    cipherPopulationDescription = ohdsiForumPost,
+    cipherDateAlgorithmWasCreated = addedDate,
+    cipherDataUsedStart = censorWindowStartDate,
+    cipherDataUsedEnd = censorWindowEndDate,
+    cipherMethodUsed = 'Rules-Based',
+    cipherAlgorithmDesc = logicDescription
+  ) |>
+  dplyr::left_join(sourceCodesInEntryEvent,
+                   by = "cohortId") |>
+  dplyr::select(dplyr::all_of(dplyr::starts_with("cipher")))
+
+
+readr::write_excel_csv(x = vaCipherMapping, file = "vaCipherMapping.csv")