Unverified50% confidenceSolutionExact time
The idea for solving the citation problem is to separate retrieval from generation, letting the model responsible for generation handle only the document content it has already been given, and delegating verbatim quotations to retrieval or string-matching scripts.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSourceCheck的核心理念是用引用的方式替代拷贝，让模型输出极简的元数据来描述引用了哪个文档的哪个段落，而非大段复述原文75% similarUnverifiedExtractive summarization directly selects verbatim content from the original text, ensuring that every concluding sentence can be traced back to the source document.70% similarUnverifiedFront Desk offers a second 'citation mode': when no model endpoint is configured, the entire component needs only one script tag, and after finding a matching entry it displays it verbatim or provides a phone contact, so it cannot fabricate content and each question costs nothing; after a model endpoint is configured, it runs the drafting and validation process, and automatically falls back to citation mode when validation fails.67% similarUnverifiedHaving the model generate skill files based on documentation it has actually read, then using /compact to compress the context, yields development references grounded in real documentation to reduce model errors.66% similarUnverifiedWhen referencing files with the @ symbol, the actual files are attached directly to the request, which is more efficient than having the model search for files itself, reducing tool calls and search operations.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1049794API
curl https://kongchang.com/api/v1/knowledge/claims/1049794MCP
get_claim(id=1049794)