Kabaddi Report Withheld: Upstream Extraction Returned Empty

This report cannot be published because the Stage-1 analysis it would be built on is entirely empty. The only available signal is 'domain: kabaddi' — meaning the upstream system considered the source material related to kabaddi, and nothing more. Title, publisher, publication date, one-sentence summary, list of information points, entities (players, teams, organisers), time sensitivity and source-quality assessment are all blank. Any concrete detail written on this basis would be guesswork: which match, which team, which player, which date, what statistic, whose quote. That is not acceptable in journalism. Therefore this report contains no match result, no player name and no quotation — because none of it is verified. There are four plausible technical causes for the empty output: (1) upstream crawling failed and the input text was empty or contained only navigation/template markup; (2) the content extractor classified the entire body as noise — common on JavaScript-rendered pages, paywalls and PDFs; (3) the classifier emitted the 'kabaddi' label first, but the extraction stage exited with an exception and the result was written back as empty defaults; (4) schema conversion in the structured output dropped fields — for example, an invalid JSON response from the LLM was silently reset to defaults. Completing the report requires one of the following: the full body text of the original article (most direct), or the raw Stage-1 JSON or logs (to determine whether the failure occurred in extraction or in the schema), or at minimum verifiable metadata — title, publisher, publication time and URL — on which source quality and time sensitivity can be assessed, with explicit note of which conclusions remain out of reach. One engineering recommendation: empty results like this should not be persisted as a valid structure. Add an assertion at the Stage-1 exit — information_points.length > 0 && summary != "" — otherwise flag the state as extraction_failed and retain a snapshot of the raw input. Data that 'looks normal but is empty inside' is more dangerous than a direct error, because downstream consumers keep ingesting it silently.