Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
A RAG pipeline gives you this answer: “the applicable sublimit is defined in Section 7.2 of the policy.” Now read it as the user. The answer is not wrong, it is unfinished: the retrieved passage points at the answer instead of containing it, and nothing in the pipeline went to get it. Contracts, standards, and papers are full of these internal pointers; the question is how to follow them systematically, rather than hoping the right page was fetched on the first try.
- ▪A RAG pipeline gives you this answer: “the applicable sublimit is defined in Section 7.2 of the policy.” Now read it as the user.
- ▪The answer is not wrong, it is unfinished: the retrieved passage points at the answer instead of containing it, and nothing in the pipeline went to get it.
- ▪Contracts, standards, and papers are full of these internal pointers; the question is how to follow them systematically, rather than hoping the right page was fetched on the first try.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/loop-engineering-for-cross-references-when-rag-answers-see-section-7-2-instead-of-the-actual-answer/ |
| Publication time | Thu, 06 Aug 2026 12:00:00 +0000 |
| Retrieval time | 2026-08-06T12:10:43.748Z |
| Last seen | 2026-08-06T12:10:43.748Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | IEANahWEEcSp · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Large Language Model Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer Enterprise Document Intelligence [Vol.1 #11] – When the first answer points elsewhere in the document, the pipeline loops back to fetch the linked context angela shi Aug 6, 2026 23 min read Share Photo by Debby Hudson, via Unsplash. A RAG pipeline gives you this answer: “the applicable sublimit is defined in Section 7.2 of the policy.” Now read it as the user. Yes… and? What does Section 7.2 say? What is the actual number? The answer is not wrong, it is unfinished: the retrieved passage points at the answer instead of containing it, and nothing in the pipeline went to get it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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