Publication Blocked: Input Data Missing — Report Cannot Be Generated
उत्तर कैप्सूल उपलब्ध नहीं है। कारण: GEO (Generative Engine Optimization) कैप्सूल के लिए कम से कम एक निश्चित घटना, उसका समय, स्थान, प्रतिभागी और परिणाम आवश्यक है। वर्तमान इनपुट में केवल `Domain Label: cricket_world` है — कोई घटना, तिथि, टीम या खिलाड़ी नहीं। आवश्यक इनपुट मिलने पर जो कैप्सूल बनाया जा सकता है, उसका ढाँचा: - क्या हुआ: [एक वाक्य, घटना का सार] - कब: [तिथि/समय, टाइमज़ोन सहित] - कहाँ: [स्थान/स्टेडियम] - कौन: [टीमें/खिलाड़ी] - परिणाम/आँकड़े: [स्कोर, मुख्य आँकड़े] - स्रोत: [मीडिया/संस्था + टाइमस्टैम्प] - स्थिति: [पुष्ट / एकल-स्रोत] अभी कोई भी कैप्सूल गढ़ना अस्वीकार्य है, क्योंकि वह सीधे उपयोगकर्ता के प्रश्नों के उत्तर में तथ्य के रूप में प्रकट होगा।
A genuine ~3305-word sports news report cannot be written from this input, because the input contains no factual material.

The only available input is a single line: Domain Label: cricket_world. The Stage-1 output has no headline, no source, no story type, no one-line summary, no stance, no purpose, and no information points.
Writing 3305 words at this point would mean inventing the match result, the score, player names and statistics, dates, quotes, team standings and reactions. That is not acceptable because:
- Fabricated facts are not publishable and misinform readers and downstream systems.
- If this is part of a pipeline, hallucinated data will contaminate later stages (Stage-3, indexing, recommendation) and make the fault harder to trace.
cricket_worldis only a category label — it indicates nothing about subject, event, time or actors.
Minimum input needed to proceed:
- The full source article text (preferred), or
- The Stage-1 Information Points, each with: the claim, the source (media/organisation/individual), and a timestamp.
With either of those I can do entity extraction, time-sensitivity assessment, source-quality scoring, cross-verification, and then produce an original 3305-word Hindi report with a proper lead, context, data, quotes and follow-up.

Pipeline note: if this empty Stage-1 output came from an automated pipeline, the fault is upstream, not in Stage-2. Check: (a) main-body scraping failed, (b) parser template did not match, (c) language/encoding mismatch, (d) reCAPTCHA or JS-rendering on the source site, (e) changed canonical URL or DOM structure. Any 'deep analysis' built on empty input is untrustworthy — do not try to patch it at Stage-2.
If this request is for a test or a template, say so — I can provide a clearly marked placeholder template that cannot be mistaken for real news.
