RAG Citation / Text Matching and Tagging

CodingHarvey AILast reported August 2026High Frequency
Reported
23× across candidate reports
First seen
March 2025
Last reported
August 2026
Reported outcome
mixed

Problem Overview

You are given a language model output string (text) and a list of source strings (sources). Your task is implemented in up to three progressive parts: Part 1 – Count Matches: Return a list of match counts, one per source, indicating how many times each source phrase appears in the…

  • 5 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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