Citation Sources and Provenance for Personal Care Products Financial Report Analysis

Data sources for personal care products financial reports include annual and semi-annual public financial documents from listed personal care

What the data for this category looks like

Data sources for personal care products financial reports include annual and semi-annual public financial documents from listed personal care enterprises. They also include offline distribution and sales data from third-party retail monitoring institutions, plus sales details from official brand stores on mainstream e-commerce platforms. Quarterly financial reports are synchronized every 3 months. Retail and e-commerce data updates every 1 to 2 weeks. Most documents include segmented category revenue breakdowns, channel sales proportions, and SKU detail lists. Fields cover SKU unique identifiers, per-customer consumption amounts, and inventory turnover days. Common units are Chinese yuan, pieces, and days.

Constraints for the Citation Sources and Provenance Workflow

Mixed multi-source data retrieval requires clear source classification tags for every cited snippet. This avoids confusion between official financial report data and third-party retail or e-commerce data. Different data sources have varying update cycles. The provenance workflow must configure cache validity periods separated by data source. This prevents citing expired historical data. SKU detail documents have high field complexity. Provenance must accurately bind fields to their positions in the original document. This avoids mismatches between cited content and source documents. Single documents contain many SKU entries. The range of provenance display must be limited to prevent information overload in responses.

How to Set Configurations

Configuration ItemRecommended ValueRationale
recall_top_kTop 8–12 entriesPersonal care financial reports have many SKU details. This range covers core data entries while avoiding redundancy
source_tag_enableEnabledDistinguishes financial report announcements, retail monitoring, and e-commerce detail sources. It adapts to multi-source data provenance requirements
origin_link_appendDomain hosting the original documentAdds original web links. This resolves poor traffic issues when jumping to local copies directly
cache_expire_secondsFinancial report data: 86400 seconds, retail data: 604800 secondsMatches update cycles of different data sources. It avoids citing expired content
field_precision_matchEnabledAccurately matches detailed information such as SKU codes and revenue fields. It adapts to the fine-grained requirements of personal care data
max_source_display5 entriesLimits the number of provenance displays per response. It optimizes reading experience

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are influenced by material formats, data volumes, and business rules. Specific cases require individual analysis. Testing on local samples prior to final configuration is recommended.

Three Common Configuration Mistakes

  • Phenomenon: Responses do not include external links to original documents, only local document identifiers. Cause: The origin_link_append parameter was not configured, and the original web address was not associated. This makes it impossible to jump to the original data source page.
  • Phenomenon: An error indicating missing parameters is triggered when calling the variable reference function. Target knowledge base documents cannot be selected accurately. Cause: The configuration rules for variable_reference_param were not clarified, and the document identifier field bound to the variable was not filled out as required.
  • Phenomenon: The number of provenance sources displayed in the response exceeds expectations, leading to information overload. Cause: The max_source_display parameter was not configured, and the number of provenance displays per response was not limited.

How to Verify Successful Configuration

  • Initiate a financial analysis query that includes SKU details. Verify that each cited snippet in the response includes a source classification tag and original web address.
  • Check system retrieval logs. Confirm that the number of retrieved documents matches the preset value of recall_top_k, and only includes documents matching the query fields.
  • Test the variable reference function. Confirm that target knowledge base documents can be accurately selected by binding fields such as SKU codes or financial report periods.
  • Wait for the end of the corresponding data source's update cycle. Verify that the cited content has been synchronized with the latest financial report data or retail monitoring information.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.