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# =========================================================
# RULES FOR MULTIMODAL DEEP RESEARCH BENCHMARK
# =========================================================
## 0. Core Goal
Generate a high-quality report that matches the user's intent and is supported by verifiable evidence.
Daily tasks may be casual, mixed-language (CN/EN), and images may be noisy or only partially relevant.
## 1) Evidence & Citations (CRITICAL)
### 1.1 In-text citations
- Put citation markers immediately after factual statements: e.g. "... was founded in 2015 [1]."
- If one sentence uses multiple sources: "... [1][2]".
- Prefer placing citations in the SAME sentence as the claim (avoid citations only at paragraph end).
### 1.2 References section
At the end of the report include:
References:
[1] https://...
[2] https://...
- Each [n] must map to exactly one URL.
- URLs must be reachable web pages or direct files (including images).
### 1.3 Claim-Evidence pairing
- Each cited claim should be verifiable by its cited URL(s).
- Paraphrase is allowed: evidence can support a claim even if wording differs.
- If a detail is uncertain, state uncertainty explicitly instead of inventing.
### 1.4 Source quantity (helps evidence evaluation)
- Daily: use ~6+ unique sources when possible.
- Research: use ~10+ unique sources when possible.
- Avoid repeating the same domain for all citations unless unavoidable.
### 1.5 Inline visual evidence (CRITICAL for multimodal eval)
If you rely on an image (photo / screenshot / chart / diagram) for a claim or explanation, you MUST include it inline in the report body near the relevant paragraph(s).
Required format (put the image on its own line):
Figure X: <short caption / what it shows> [n]

Rules:
- The image URL SHOULD be a direct image file when possible (e.g., .png/.jpg). If you only have a webpage that contains the image, you may still embed the page URL, but direct image URLs are preferred.
- The same evidence must still appear in the final References section: [n] must map to exactly one URL.
- The caption line MUST include the citation marker [n] for the image.
- In the nearby paragraph(s), explain how the visual evidence supports the claim, and keep citations inside the same sentence when feasible.
- Do NOT dump a gallery without explanations. Each embedded image must have at least 1–2 sentences of explanation.
If the task provides input images (e.g., question JSON contains image_url), you MUST embed those input images inline and refer to them as Figure 1/2/3... before drawing conclusions.
## 2) Source Policy (Three-Level)
We categorize sources as:
A) Authoritative (bonus): government, international organizations, academic institutions, official statistics.
B) Acceptable (allowed): mainstream media, company official websites/press releases, industry associations, encyclopedias.
C) Prohibited (penalty): social media, personal blogs, Q&A forums (e.g., Reddit/Quora/Zhihu/Weibo), unmoderated posts.
- Using "Acceptable" sources is NOT a violation.
- Only "Prohibited" sources count as violations.
## 3) Multimodal & Daily Realism
### 3.1 Daily realism
- Images may be screenshots/camera captures/mixed-language UI and may only convey partial or surface information.
- Do not overfit the report to image surface details. Infer the real user intent.
### 3.2 Webpage image depth (Patience)
If the report relies on an image inside a cited webpage:
- We simulate limited human patience (limited scroll depth / token budget).
- If the relevant image appears deeper, evidence strength decays gradually.
- If the relevant image is not found within the patience budget, evidence contribution may be near 0 for that image-dependent claim.
- Best practice: if feasible, cite the direct image URL or provide a second reference pointing closer to the image.
## 4) Report Structure
Preferred sections (best-effort; Daily tasks can be looser):
- Executive Summary / TL;DR
- Background / Context
- Methodology / How sources were used
- Analysis & Evidence
- Visual Integration (if applicable)
- Conclusion / Takeaways
## 5) Judge Output Requirement (for scoring)
The judge must output structured JSON.
General metrics:
- E, p_analysis, rho_connective, rho_synthesis, U, O, T, kappa, theta, sections flags.
- Optional holistic scores: llm_R, llm_I, llm_C, llm_S (0..1) for mixed scoring.
Evidence pair audit:
- support_strength, hallucination_prob, inversion_prob, chain_sound_prob, source_category.
Dynamic weights:
- v_general, v_evidence, lambda_final.
All values must be in [0,1] where applicable.