conversations listlengths 3 3 | thinking stringlengths 177 43.2k | metadata stringlengths 202 1.72k | format_bonus float64 1 1 | citation_format_reward float64 1 1 | citation_paper_reward float64 0.7 1 | citation_metrics stringlengths 262 324 | format_analysis stringclasses 0
values | gpt54_generation stringlengths 54 1.84k ⌀ |
|---|---|---|---|---|---|---|---|---|
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking to extract the "Web & Desktop Community Integrations" list from the Ollama GitHub page. The search results provide this list directly in snippet S_DgXnmx5.
Let me verify what information is available:
- The snippet clearly shows the "Web & Desktop Community Integrations" section with all items lis... | {"sample_id": "traj31_turn0", "traj_idx": 31, "turn_index": 0, "tool_name": "browse_webpage", "tool_query": "https://github.com/ollama/ollama", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_DgXnmx5">The Ollama GitHub page’s “Web & Desktop Community Integrations” section includes a long list starting with Open WebUI and continuing through projects such as SwiftChat, Enchanted, LibreChat, AnythingLLM, Lobe Chat, BrainSoup, Harbor, and PyGPT, with the snippet ending at a truncated “Al... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for a specific dual enrollment statistic about how many students were added in the last year from the EducationDynamics "Key Findings" page.
Looking at the raw tool output, I can see the relevant information in the snippet. The text states that "Dual Enrollment programs have seen a significant inc... | {"sample_id": "traj105_turn1", "traj_idx": 105, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.educationdynamics.com/key-findings-2025-landscape-report/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_QPfFoAN>EducationDynamics reports that dual enrollment programs added over 100,000 students in the last year</snippet>, and <snippet id=S_QPfFoAN>this represented growth of more than 10%</snippet>. <snippet id=S_QPfFoAN>The increase accounted for nearly 28.1% of the overall rise in undergraduate ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for a specific dispute rate reported by Robert K. Merton for simultaneous discoveries in the 17th century, as stated in Wikipedia's "Academic publishing" article.
Let me look at the snippets provided:
1. S_xtVhZmB - From "Academic publishing" Wikipedia page, it mentions "simultaneous discovery in... | {"sample_id": "traj0_turn0", "traj_idx": 0, "turn_index": 0, "tool_name": "google_search", "tool_query": "Wikipedia Academic publishing Merton dispute rate simultaneous discoveries 17th century", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.914286 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8571428571428571, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8571428571428571, "citation_paper_reward": 0.9142857142857143, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_xtVhZmB">The provided Wikipedia “Academic publishing” search snippet says that simultaneous discoveries in the 17th century ended in dispute, but the exact 17th-century percentage is truncated and not visible in the snippet</snippet>. <snippet id="S_xtVhZmB">The same snippet does show that the d... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about which well-known universities and cities H3C's Intelligent Technology Institute (智能技术研修院) partnered with in 2018 to run intelligent technology talent training classes.
Looking at the search results, I found a relevant snippet:
- <snippet id="S_bfcfcqj"> mentions: "新华三人才研学中心"智... | {"sample_id": "traj21_turn0", "traj_idx": 21, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u65b0\u534e\u4e09 \u667a\u80fd\u6280\u672f\u7814\u4fee\u9662 2018 \u9ad8\u6821 \u57ce\u5e02 \u667a\u80fd\u6280\u672f \u4eba\u624d \u57f9\u8bad\u73ed", "refiner_mode": "answer_only", "stop_reason": "stop", "accep... | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_bfcfcqj">新华三集团“智能技术研修院”介绍显示，其在2018年前后曾携手清华大学、浙江大学等名校，以及杭州市、贵阳市等大数据名城，开设智能技术人才培训班</snippet>。<snippet id="S_bfcfcqj">因此，已明确提到的知名高校是清华大学和浙江大学，对应城市是杭州市和贵阳市</snippet>。<snippet id="S_nJaWNpo">另有新华三页面提到，2018年暑期其人才研学中心推出了“校企合作教师培训”计划</snippet>，但<snippet id="S_nJaWNpo">该片段未补充更多具体高校或城市名单</snippet>。
</answ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about the "智能技术研修院" (Intelligent Technology Academy), specifically wanting to verify the year 2018 and extract the exact names of universities and cities it partnered with.
Looking at the search result snippet S_6FicwEB:
- It confirms 2018 as the founding year: "2018年，新华三人才研学中心"智能技... | {"sample_id": "traj21_turn1", "traj_idx": 21, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.h3c.com/cn/Training/Intellectual_Technology/Introduce/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_6FicwEB>新华三人才研学中心“智能技术研修院”于2018年正式成立</snippet>，<snippet id=S_6FicwEB>并与清华大学、浙江大学等知名高校合作</snippet>；<snippet id=S_6FicwEB>同时还在杭州市、贵阳市等大数据名城开设了智能技术人才培训班</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to know which iPhone models are supported by the newest iOS version. The agent is looking for an official Apple list.
Looking at the snippets:
- Snippet S_bm2GEQc mentions "iPhone models compatible with iOS 18 - Apple Support" and says it's compatible with "Three..." (appears cut off)
- Snippet S_2DpW2M... | {"sample_id": "traj75_turn0", "traj_idx": 75, "turn_index": 0, "tool_name": "google_search", "tool_query": "iOS 18 compatible devices site:apple.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_bm2GEQc,S_2DpW2M0>Yes—Apple provides an official list of iPhone models compatible with iOS 18 on both an Apple Support page and the iOS 18 page on apple.com</snippet>. <snippet id=S_bm2GEQc>The Apple Support guide states that iOS 18.6 is compatible with listed iPhone models</snippet>. <snippet id... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for step-by-step instructions to switch Edge from Bing to Google for macOS, specifically for:
(a) address bar searches
(b) new tab behavior
(c) homepage/startup pages
They need authoritative Microsoft support page citations. The query was about changing the default search engine in Microsoft Edge ... | {"sample_id": "traj32_turn0", "traj_idx": 32, "turn_index": 0, "tool_name": "google_search", "tool_query": "Change default search engine Microsoft Edge macOS address bar and search site:support.microsoft.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_pJURrej">Microsoft’s “Change your default search engine in Microsoft Edge” support article says to open Settings and more > Settings > Privacy, search, and services > Search and connected services > Address bar and search.</snippet> <snippet id="S_pJURrej">That “Address bar and searc... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for instructions on how to change the home page/startup page in Microsoft Edge on macOS, and potentially information about the "Search on new tabs uses address bar" setting. The agent wants authoritative Microsoft support information.
Looking at the search results:
- S_994cP1E: About making Edge the... | {"sample_id": "traj32_turn1", "traj_idx": 32, "turn_index": 1, "tool_name": "google_search", "tool_query": "Change home page Microsoft Edge macOS site:support.microsoft.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_qH1SWZg">Microsoft Support says you can set your home page in Edge by going to Settings and more > Settings > Start, home, and new tab page</snippet>. <snippet id="S_64T5qBB">It also notes that most Edge tools and options are under Settings and more > Settings, including settings such as your br... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking for per-department counts of "面上" (General Program) applications from the 2023 NSFC centralized submission period at Jinan University, specifically to identify which department had the most applications and the count.
Looking at the raw tool output from the webpage browse, I have clear information:... | {"sample_id": "traj111_turn1", "traj_idx": 111, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://xxxy.jnu.edu.cn/2023/0322/c27547a740207/page.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_hDeT6kK">暨南大学信息科学技术学院在2023年国家自然科学基金集中受理期共申报68项，其中面上项目34项</snippet>。<snippet id="S_hDeT6kK">各单位面上项目申报数包括：网络空间安全系8项、数学系7项、电子工程系6项、计算机科学系6项、新能源技术研究院4项</snippet>。<snippet id="S_hDeT6kK">其中面上项目申报数量最多的是网络空间安全系，共8项</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for the per-department breakdown of NSFC (National Natural Science Foundation) projects from a college webpage. They previously found that the Cybersecurity department tops with 8 "面上" projects, but now they want to browse the page without summarizer to capture the raw Chinese content and exact num... | {"sample_id": "traj111_turn2", "traj_idx": 111, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://xxxy.jnu.edu.cn/2023/0322/c27547a740207/page.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_QFqJFmg">This college news page states that the 2023 National Natural Science Foundation application work concluded with 68 total submissions, 4 more than the previous year.</snippet> <snippet id="S_QFqJFmg">Its category breakdown was 2 distinguished young scholars, 1 key project, 6 joint fund k... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking about the years when Michael Colin Cowdrey played cricket for Oxford University. Let me examine the snippets to find this information.
From the snippets:
- S_tTCfbQI (CricketArchive): Lists "Oxford University (Main FC: 1952-1954)"
- S_6ufw6a3 (Find a Grave): States "played for Oxford University fro... | {"sample_id": "traj5_turn0", "traj_idx": 5, "turn_index": 0, "tool_name": "google_search", "tool_query": "Michael Colin Cowdrey Oxford University cricket years", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.733333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5555555555555556, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5555555555555556, "citation_paper_reward": 0.7333333333333334, "citation_claim_count": 9.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_yGvl252">Michael Colin Cowdrey attended Brasenose College, Oxford</snippet>, and <snippet id="S_KOmLC3n,S_tTCfbQI">he represented Oxford University in first-class cricket from 1952 to 1954</snippet>. <snippet id="S_tTCfbQI">CricketArchive lists his Oxford University career as “Main FC: 1952-1954... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for explicit confirmation that Contest is in France from a geospatial database (GeoNames), as well as additional supporting sources. They've already searched and received some results.
Let me analyze what snippets are relevant:
- S_GB8c9Ub: GeoNames entry for Mayenne, France - mentions GeoNames da... | {"sample_id": "traj126_turn2", "traj_idx": 126, "turn_index": 2, "tool_name": "google_search", "tool_query": "GeoNames Contest Mayenne", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_KLzRctW">Contest, Mayenne is a commune in the Mayenne department in north-western France</snippet>. <snippet id="S_ELJbb4h">A separate source for Contest explicitly lists its country as France and gives the INSEE municipality code 53074</snippet>. <snippet id="S_JlqOMna">Another listing also ide... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to analyze the search results for "Wikidata Contest Mayenne" and write a concise paragraph answering the agent's query about finding the Wikidata entry for Contest (the commune in Mayenne, France) to explicitly identify the country.
Looking at the snippets:
- S_PReE6oO mentions "Église Saint-Martin d... | {"sample_id": "traj126_turn3", "traj_idx": 126, "turn_index": 3, "tool_name": "google_search", "tool_query": "Wikidata Contest Mayenne", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_PReE6oO">This search did not return the Wikidata item for the commune of Contest itself; the only Wikidata hit shown is “Église Saint-Martin de Contest.”</snippet> <snippet id="S_PReE6oO">That result describes the church as “located in Mayenne, in France.”</snippet> <snippet id="S_EaNhkol,S_2AKV... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking for causal evidence on the economic effects of the Trump-era Section 301 and Section 232 tariffs (2018-2019), specifically looking for welfare, prices, employment, and sectoral impacts. They want me to search for Fajgelbaum et al.'s paper "The Return to Protectionism" and other empirical studies to ... | {"sample_id": "traj25_turn0", "traj_idx": 25, "turn_index": 0, "tool_name": "snippet_search", "tool_query": "\"The Return to Protectionism\" Fajgelbaum tariffs welfare employment prices 2019 2020", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.9 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8333333333333334, "citation_paper_reward": 0.9, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_uXLDjGU">Fajgelbaum et al.’s analysis of the 2018 Trump tariffs covers the main tariff waves, including January tariffs on solar panels and washing machines, March tariffs on steel and aluminum, and later 25 percent tariffs on large volumes of Chinese imports beginning in July 2018.</snippet> <s... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about DDR6 status, timeline, and vendors. Let me analyze the snippets to extract relevant information.
Key information from snippets:
1. S_o7SKEgq: JEDEC finalized DDR6 draft specification in late 2024, LPDDR6 in Q2 2025, 2026 launch, 2027 expansion
2. S_rFZdsMU: DDR6 expected to l... | {"sample_id": "traj4_turn0", "traj_idx": 4, "turn_index": 0, "tool_name": "google_search", "tool_query": "DDR6 JEDEC status timeline vendor", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.866667 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.75, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.7777777777777777, "citation_paper_reward": 0.8666666666666666, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_Nagytxb">JEDEC’s official main-memory page says DDR6 is still in development within the JC-42 Committee for Solid State Memories</snippet>. <snippet id="S_jaLVIsT">JEDEC has already released the JESD209-6 LPDDR6 standard</snippet>, while <snippet id="S_UbbefO9">a July 22, 2024 JEDEC press releas... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query based on the search results. The agent was looking for:
1. PCIe 7.0 official status from PCI-SIG
2. Key goals/timeline
3. Vendor activity (though this search result focuses on PCI-SIG announcements)
From the search results, I can extract:
- PCIe 7.0 specification status (m... | {"sample_id": "traj4_turn1", "traj_idx": 4, "turn_index": 1, "tool_name": "google_search", "tool_query": "PCIe 7.0 site:pcisig.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.742857 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5714285714285714, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5714285714285714, "citation_paper_reward": 0.7428571428571429, "citation_claim_count": 7.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_vjuw6rx,S_CEFBvRo">PCI-SIG says the PCIe 7.0 specification is now available to members, with Version 0.9 described as a final draft for member review</snippet>. <snippet id="S_f9xWV91,S_QXJ5dTN">Its headline goal is 128 GT/s, doubling PCIe 6.0’s data rate, and PCIe 7.0 uses PAM4 signaling to rea... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer a query based on the provided search result. The agent's reasoning indicates they are looking for information about Flume's Coachella AR cockatoo, specifically to confirm the year (2022) and context.
I need to write a short paragraph (3-6 sentences) that directly answers the query using inf... | {"sample_id": "traj50_turn0", "traj_idx": 50, "turn_index": 0, "tool_name": "browse_webpage", "tool_query": "https://time.com/6168688/coachella-enters-the-metaverse/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_zYahbm1>Flume 的 Coachella 直播发生在 2022 年 4 月 21 日，并在演出中加入了增强现实元素，包括巨大的澳洲鹦鹉和迷幻视觉效果。</snippet> <snippet id=S_zYahbm1>这次合作被描述为 Coachella 音乐节直播中首次整合 AR 技术，且这些 AR 画面仅供线上观众观看。</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking me to verify the author of "Visst katten har djuren själ!" by browsing the Swedish Wikipedia page. The raw tool output contains a snippet with information about the book and its author.
Looking at the snippet:
- Snippet id: S_QTxymD1
- It clearly states the author is Margit Sandemo
- Published in 1... | {"sample_id": "traj94_turn1", "traj_idx": 94, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://sv.wikipedia.org/wiki/Visst_katten_har_djuren_sj%C3%A4l!", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_QTxymD1>Author of “Visst katten har djuren själ!” is Margit Sandemo.</snippet> <snippet id=S_QTxymD1>The Swedish Wikipedia page describes the book as a 1994 collection of stories about encounters between humans and animals, published by Boknöje AB.</snippet> <snippet id=S_QTxymD1>It also notes th... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to write a concise answer (3-6 sentences) using the provided search snippets. I need to extract information about Nvidia's Q2 FY2026 press release, specifically focusing on gross margin, guidance, and buyback information.
Let me analyze the snippets:
1. S_zSlt060: States $14.7 billion remaining unde... | {"sample_id": "traj86_turn1", "traj_idx": 86, "turn_index": 1, "tool_name": "google_search", "tool_query": "NVIDIA Q2 FY2026 press release gross margin guidance buyback", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_OP2WwC3">NVIDIA’s Q2 FY2026 revenue was reported at $46.7 billion, with $41.1 billion coming from data center sales and Blackwell cited as a major driver</snippet>. <snippet id="S_tfakv2z,S_mGOdXNu">Quarterly gross margin was about 72.4% on a GAAP basis and 72.7% on a non-GAAP basis</snippet>, a... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for the latest AI startup fundraises, specifically focusing on September 2025 based on their agent reasoning. I need to extract the key fundraising information from the snippets provided and present it in a concise answer with inline citations.
Let me identify the key fundraising announcements from ... | {"sample_id": "traj113_turn0", "traj_idx": 113, "turn_index": 0, "tool_name": "google_search", "tool_query": "latest AI startup raises funding September 2025", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.925 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8125, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.875, "citation_paper_reward": 0.925, "citation_claim_count": 8.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
Among the most recent AI startup fundraises surfaced in September 2025, <snippet id="S_4N86Hvy,S_ZQJG3fS">Groq announced on Sept. 17 that it raised $750 million at a $6.9 billion post-money valuation</snippet>. <snippet id="S_OCr7IS3">Axios also reported that generative AI startup ProRata.ai raised a $40 milli... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query based on the search results. The agent is looking for specific details about Groq's funding round from the TechCrunch article.
From the raw tool output (snippet S_ALeiWan), I can extract the following key information:
- Groq raised $750 million in funding
- Post-money valu... | {"sample_id": "traj113_turn1", "traj_idx": 113, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://techcrunch.com/2025/09/17/nvidia-ai-chip-challenger-groq-raises-even-more-than-expected-hits-6-9b-valuation/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_ALeiWan">TechCrunch reports that Groq raised $750 million in fresh funding at a post-money valuation of $6.9 billion</snippet>. <snippet id="S_ALeiWan">The round was led by investment firm Disruptive</snippet>, and <snippet id="S_ALeiWan">additional backing came from BlackRock, Neuberger Berman,... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to find the latest AI startup fundraises based on the agent's reasoning. The agent has already searched for and retrieved a Reuters article about Groq's funding round.
From the tool output snippet S_ZUrmJ20, I can extract:
1. Groq raised $750 million
2. Valuation increased to $6.9 billion (more than ... | {"sample_id": "traj113_turn2", "traj_idx": 113, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://www.reuters.com/business/groq-more-than-doubles-valuation-69-billion-investors-bet-ai-chips-2025-09-17/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_ZUrmJ20>Groq is one of the latest AI startup fundraises reported here, raising $750 million and more than doubling its valuation to $6.9 billion in just over a year</snippet>. <snippet id=S_ZUrmJ20>The round was led by Disruptive and included BlackRock, Deutsche Telekom Capital Partners, and othe... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for Grand Coulee Dam's lifetime cumulative electrical energy generation data from the Bureau of Reclamation. However, looking at the raw search results, I cannot see actual lifetime generation figures in these snippets. Most snippets mention missing data or just describe what the dam is without pro... | {"sample_id": "traj116_turn2", "traj_idx": 116, "turn_index": 2, "tool_name": "google_search", "tool_query": "Grand Coulee lifetime generation cumulative since operation Bureau of Reclamation TWh", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_Mwhy9Dt,S_bShUXI1,S_DUmWxuE">The search results retrieved for Grand Coulee Dam do not provide a lifetime cumulative electricity-generation total in their snippets, including the Bureau of Reclamation fact sheet and plant page.</snippet> <snippet id="S_8K3mOWN,S_NCIWD9I">Based on these snippets a... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about the long seasons/climate of Westeros. I need to use the provided search snippets to answer this query.
Looking at the snippets:
1. S_2ZXX00U - Mentions "Great Summer" and how smallfolk believe long summer means longer winter
2. S_8PV6wdk - Mentions Westeros's climate shifts f... | {"sample_id": "traj85_turn3", "traj_idx": 85, "turn_index": 3, "tool_name": "google_search", "tool_query": "A Wiki of Ice and Fire seasons Westeros long summers winters", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.828571 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.7142857142857143, "citation_avg_claim_precision": 0.8571428571428571, "citation_avg_claim_f1": 0.7142857142857143, "citation_paper_reward": 0.8285714285714285, "citation_claim_count": 7.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.... | null | <answer>
<snippet id="S_8PV6wdk">Westeros has a highly varied climate, ranging from arid desert conditions in the far south to cold, harsh winters in the north and even icy wasteland beyond in the Lands of Always Winter</snippet>. <snippet id="S_vofW5sy">At the beginning of A Song of Ice and Fire, the continent is in a... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about 9/11 using the raw search results provided. The agent is looking for NIST findings on WTC 1/2 and WTC 7, specifically about collapse causes and whether explosives were ruled out.
Looking at the snippets provided:
- S_MLIZ27o: Links to FAQs for NIST WTC 7 Investigatio... | {"sample_id": "traj23_turn1", "traj_idx": 23, "turn_index": 1, "tool_name": "google_search", "tool_query": "NIST WTC 7 report explosives free fall FAQ", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_MLIZ27o,S_uIeCmF5">NIST has official FAQ pages for both WTC 7 and the Twin Towers that are directly relevant to questions about collapse causes and alternate theories</snippet>. <snippet id="S_MLIZ27o">The WTC 7 FAQ is organized around “Fires,” “The Collapse,” “The Investigation,” “Recommendatio... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent wants me to extract explicit conclusions from the NIST WTC 7 FAQ page regarding collapse causes and statements about explosives/free-fall.
Looking at the raw tool output, I have one snippet (S_65SlJUD) from the NIST WTC 7 investigation FAQ page that contains exactly what the agent needs:
1. WTC 7 collapse w... | {"sample_id": "traj23_turn2", "traj_idx": 23, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://www.nist.gov/world-trade-center-investigation/study-faqs/wtc-7-investigation", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.88 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8, "citation_paper_reward": 0.88, "citation_claim_count": 5.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_65SlJUD>NIST determined that WTC 7 collapsed primarily because uncontrolled fires ignited by debris from WTC 1 caused thermal expansion of steel beams and girders, leading to failure of Column 79 and a progressive collapse.</snippet> <snippet id=S_65SlJUD>NIST also found no evidence that explosiv... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about the function of Egyptian pyramids based on the Britannica search results. The agent is looking for an authoritative definition stating pyramids were used as royal tombs.
Looking at the search snippets:
- S_UueJdq6: "The pyramids of Giza were royal tombs built for thr... | {"sample_id": "traj99_turn0", "traj_idx": 99, "turn_index": 0, "tool_name": "google_search", "tool_query": "Egyptian pyramids used for tombs Britannica", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_UueJdq6,S_CRAs7qe>Britannica states that Egyptian pyramids, including the Pyramids of Giza, were royal tombs built for pharaohs</snippet>. <snippet id=S_aQwSua2>It also explains that the pyramid developed from the mastaba, an Egyptian tomb form known from the beginning of the dynastic era</snippe... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent wants to compile all match dates, cities, and stadiums for the 2025 British & Irish Lions tour, including the pre-tour match vs Argentina in Dublin. The search results show that the official site confirms there are three Test matches in Brisbane, Melbourne, and Sydney, plus a warm-up match in Dublin. However,... | {"sample_id": "traj110_turn1", "traj_idx": 110, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.lionstour.com/fixtures/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.9 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.9166666666666666, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.8333333333333334, "citation_paper_reward": 0.9, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_crcKFip>The official fixtures page confirms that the 2025 British & Irish Lions tour to Australia will feature three Test matches and six pre-Test matches</snippet>. <snippet id=S_crcKFip>The Test matches are listed for Brisbane, Melbourne, and Sydney, and the schedule also includes a warm-up mat... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants information about the 2025 British & Irish Lions tour to Australia, including:
1. Dates and locations for all matches (including warm-ups)
2. Squad and coaches announcement dates
3. Captain or favorite information
The tool output provides some fixture information from ESPN, but I notice this snippet sho... | {"sample_id": "traj110_turn2", "traj_idx": 110, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://www.espn.com/rugby/story/_/id/42226971/british-irish-lions-2025-australia-tour-fixtures-results", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.55, "citation_avg_claim_precision": 0.9, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 10.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_mFwOiKa">ESPN’s fixtures/results page lists the 2025 British & Irish Lions tour matches as Argentina on June 20, Western Force on June 28, Queensland Reds on July 2, NSW Waratahs on July 5, ACT Brumbies on July 9, Australia & New Zealand Invitational on July 12, the 1st Test vs Australia on July... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for detailed fixture information including dates, venues (city + stadium) for the 2025 British & Irish Lions tour to Australia, plus captain/coach/squad announcements.
The tool output shows that the official Lions rugby page (https://www.lionsrugby.com/en/matches/mens-team/results/2025) does NOT p... | {"sample_id": "traj110_turn3", "traj_idx": 110, "turn_index": 3, "tool_name": "browse_webpage", "tool_query": "https://www.lionsrugby.com/en/matches/mens-team/results/2025", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_oqfCnZc">The Lions’ official 2025 men’s results page does not provide specific details for the tour fixtures, including dates, opponents, cities, or stadiums.</snippet> <snippet id="S_oqfCnZc">It only indicates that there are 2025 men’s-team results and offers month filters for June, July, and A... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants alternatives to Docling for document processing. I need to first understand what Docling is (its capabilities and scope) based on the search results, then I can provide alternatives.
From the snippets provided, I can see that:
1. Docling is an open-source library (GitHub: docling-project/docling)
2. It ... | {"sample_id": "traj63_turn0", "traj_idx": 63, "turn_index": 0, "tool_name": "google_search", "tool_query": "docling github pdf parsing", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.971429 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.9285714285714286, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.9523809523809523, "citation_paper_reward": 0.9714285714285714, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_mqRV5kU,S_S6pMGwH,S_mIg6jX0>Docling is the main open-source package from the Docling project, designed to simplify document processing and parse diverse formats, including advanced PDF understanding</snippet>. <snippet id=S_mqRV5kU,S_S6pMGwH>Its official GitHub and project pages describe it as pr... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer a query about Docling based on the search results. The agent is researching what Docling does so they can find alternatives to it.
From the single snippet (S_QNl7Z99), I need to extract information about:
1. What Docling does (document processing tool)
2. What formats it supports (PDF, DOCX... | {"sample_id": "traj63_turn1", "traj_idx": 63, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://github.com/docling-project/docling", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_QNl7Z99>Docling is a document processing tool for converting and understanding multiple input types, including PDF, DOCX, PPTX, XLSX, HTML, audio files, and images</snippet>. <snippet id=S_QNl7Z99>Its capabilities include advanced PDF understanding, extensive OCR support, audio processing with AS... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about Unstructured as an alternative to Docling for document parsing. They want to understand its capabilities, inputs, and strengths. I need to synthesize the information from the search snippets into a concise paragraph with inline citations.
Let me identify the key claims I can ... | {"sample_id": "traj63_turn2", "traj_idx": 63, "turn_index": 2, "tool_name": "google_search", "tool_query": "unstructured io document parsing GitHub", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6428571428571429, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666667, "citation_paper_reward": 0.8, "citation_claim_count": 7.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_mT4hefl,S_4qR9vFk">Unstructured is an open-source ETL/document-processing project for transforming complex documents into clean, structured data or formats for language-model workflows</snippet>. <snippet id="S_mT4hefl">Its GitHub repository says the easiest way to parse a document is with the `... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about GROBID as an alternative to Docling. I need to summarize what GROBID is based on the search snippets provided.
From the snippets, I can see:
1. GROBID is a machine learning library for extracting, parsing and re-structuring raw documents like PDF into structured XML/TEI encod... | {"sample_id": "traj63_turn5", "traj_idx": 63, "turn_index": 5, "tool_name": "google_search", "tool_query": "GROBID official site bibliographic extraction PDF", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_fhVerRV">GROBID is a machine-learning library for extracting, parsing, and restructuring raw documents such as PDFs into structured XML/TEI-encoded documents</snippet>. <snippet id="S_dosE6gF">Its documentation highlights header extraction and parsing from article PDFs, covering bibliographic in... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking me to verify if the film "Blinded" (2004) was recognized at the Celtic Film and Television Festival and the British Independent Film Awards. I need to use the raw search results to confirm this.
Looking at the snippets:
1. Snippet 16034 (Wikipedia): States the film won the Jury Award at the Celtic... | {"sample_id": "traj48_turn1", "traj_idx": 48, "turn_index": 1, "tool_name": "google_search", "tool_query": "Blinded (2004) Celtic Film and Television Festival British Independent Film Awards Eleanor Yule", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=16034,15547>Blinded (2004) was written and directed by Eleanor Yule</snippet>, and <snippet id=16034>it stars Samantha Bond and Phyllida Law</snippet>. <snippet id=16034,15547>The film won the Jury Award at the 2004 Celtic Film & Television Festival</snippet>, and <snippet id=16034,15547>it was nom... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to analyze the raw search results to answer the agent's query about Eleanor Yule's filmography, specifically regarding:
1. Whether she created a series of films with a member of a renowned British comedy group (Monty Python)
2. Whether she produced work for a UK public broadcaster (BBC/Channel 4)
Let... | {"sample_id": "traj48_turn2", "traj_idx": 48, "turn_index": 2, "tool_name": "google_search", "tool_query": "Eleanor Yule series of films with member of Monty Python BBC Channel 4", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.925 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.875, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.875, "citation_paper_reward": 0.925, "citation_claim_count": 8.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=20279>The available results show that Eleanor Yule directed Michael Palin of Monty Python in the 2015 documentary “Michael Palin’s Quest for Artemisia.”</snippet> <snippet id=20279,40108>However, the snippets do not provide evidence that Yule made a series of films with Palin or any other member of... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about Eleanor Yule's work with Michael Palin, specifically regarding a series of documentaries and which broadcaster (BBC or Channel 4) was involved.
Looking at the search results:
1. Snippet 86056 mentions "Michael Palin's Quest for Artemisia - BBC Four" but notes it doesn't confi... | {"sample_id": "traj48_turn3", "traj_idx": 48, "turn_index": 3, "tool_name": "google_search", "tool_query": "Eleanor Yule Michael Palin documentaries BBC Channel 4 series", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.775 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.625, "citation_avg_claim_precision": 0.875, "citation_avg_claim_f1": 0.625, "citation_paper_reward": 0.775, "citation_claim_count": 8.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=29986>Eleanor Yule wrote and directed a BBC documentary featuring Michael Palin titled “Michael Palin’s Quest for Artemisia”</snippet>. <snippet id=86056,29986>The film was broadcast by the BBC and follows Palin as he traces the life and work of Artemisia Gentileschi in Italy</snippet>. <snippet id... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Okay, the user wants me to answer the agent's query using the raw search results with inline citations. The agent's reasoning says they need to find the release date of the Nature Podcast episode mentioned in the article. They already opened the Nature article page, and the tool call provided a snippet.
Looking at the... | {"sample_id": "traj95_turn1", "traj_idx": 95, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.nature.com/articles/d41586-024-04237-w", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_cihkmQW>The Nature article says the “Nature Podcast” episode titled “Science in 2025: what to expect this year” is set to be released on 01 January 2025.</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for confirmation that Kawahigashi Station in Fukushima is operated by JR East. They want a non-Wikipedia confirmation to supplement their Wikipedia findings.
Let me analyze the snippets:
- S_YXr1VRg: Wikipedia page explicitly states "operated by the East Japan Railway Company (JR East)" - this i... | {"sample_id": "traj55_turn1", "traj_idx": 55, "turn_index": 1, "tool_name": "google_search", "tool_query": "Kawahigashi Station JR East Fukushima", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.733333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5555555555555556, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5555555555555556, "citation_paper_reward": 0.7333333333333334, "citation_claim_count": 9.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_YXr1VRg">Kawahigashi Station (Fukushima) is a railway station in the city of Sukagawa, Fukushima, Japan, operated by the East Japan Railway Company (JR East)</snippet>. <snippet id="S_9D0GXIX">A timetable listing for “Kawahigashi(Fukushima)” shows it on the JR Suigun Line with service toward Asa... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants information about process mapping software, specifically focusing on:
1. Cost/pricing
2. Features
3. Mobile app availability
Let me look at the search results to see what information I can extract:
From the snippets:
- S_545zGb5: Lists top 10 process mapping tools in 2024 including Qntrl, Zoho Creator,... | {"sample_id": "traj61_turn0", "traj_idx": 61, "turn_index": 0, "tool_name": "google_search", "tool_query": "best process mapping software 2024 pricing mobile app", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.911111 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8518518518518517, "citation_paper_reward": 0.9111111111111111, "citation_claim_count": 9.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_545zGb5,S_24LVXZU,S_wWygdQ9,S_wbNHA1i>These broad comparison results frame process mapping software as a mix of general diagramming tools and business-process platforms, repeatedly naming products such as Lucidchart, Microsoft Visio, Camunda, Qntrl, Zoho Creator, Kissflow, monday.com, GitMind, Gl... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for Microsoft Visio pricing and mobile availability information based on the search results. I need to extract specific pricing information and check for mobile app information from the snippets provided.
Let me analyze the snippets:
1. S_kzXpn2 - Microsoft compare page for Visio plans
2. S_ZZymdR9... | {"sample_id": "traj61_turn2", "traj_idx": 61, "turn_index": 2, "tool_name": "google_search", "tool_query": "Microsoft Visio pricing Plan 1 Plan 2 official site mobile app iOS Android", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5833333333333334, "citation_avg_claim_precision": 0.9166666666666666, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 12.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_kzXpnx2">Microsoft’s official Visio comparison page says it lets you compare Visio in Microsoft 365, Visio Plan 1, and Visio Plan 2</snippet>. <snippet id="S_kxMq3sx,S_8TQ4tbq">The available snippets show Visio Plan 1 priced at $5/user/month with an annual subscription, and describe it as includ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for longitudinal evidence about whether movies are getting longer and if long films perform well at the box office over time. They want to know if long films underperform or have grown as a share of top-grossers.
Let me look at the relevant snippets:
1. S_KP1IcmD - Shows top 50 highest-grossing m... | {"sample_id": "traj66_turn2", "traj_idx": 66, "turn_index": 2, "tool_name": "google_search", "tool_query": "are movies getting longer runtime trend analysis box office mojo variety economist share of films over 150 minutes top grossing", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 6.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_lN4yV5Y,S_ryJNyPw">The analyses surfaced here broadly agree that movies have been getting somewhat longer over time, and that the trend is especially strong among more popular films.</snippet> <snippet id="S_KP1IcmD">One runtime study says the top 50 highest-grossing movies of each year average ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to help decide between pulling Shion (Extra Style) and the Nilya+Jilya set in Another Eden, based on Altema ratings (both rated 99) and other factors. However, I notice that the tool output provided doesn't contain the actual information needed - these are just YouTube videos and wiki pages with t... | {"sample_id": "traj96_turn0", "traj_idx": 96, "turn_index": 0, "tool_name": "google_search", "tool_query": "Another Eden Shion Extra Style Altema", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.890909 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8181818181818182, "citation_avg_claim_precision": 0.9090909090909091, "citation_avg_claim_f1": 0.8181818181818182, "citation_paper_reward": 0.8909090909090909, "citation_claim_count": 11.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1... | null | <answer>
<snippet id=S_ChoxP2q,S_8WxZDog,S_qiWaQBS,S_f37fgjl,S_1PXfp3r>This search did not surface a direct Altema page for Shion Extra Style; instead it returned YouTube guides, the unofficial wiki’s tier-list hub, and a pull-advice video.</snippet> <snippet id=S_8WxZDog>One result describes Shion Extra Style as “good... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to know which month in 2024 the first publication about "计算机科学与技术学院（大数据学院）2024-2025秋季学期研究生专业课课表" appeared.
I need to look at the search results to find the date of the publication.
Snippet S_0bR7htz shows:
- Title: 计算机科学与技术学院（大数据学院）2024-2025秋季学期研究生 ...
- Text includes: "发布时间：2024-09-20" (Publish Date: ... | {"sample_id": "traj6_turn0", "traj_idx": 6, "turn_index": 0, "tool_name": "google_search", "tool_query": "\"\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u5b66\u9662\uff08\u5927\u6570\u636e\u5b66\u9662\uff09\" 2024-2025 \u79cb\u5b63 \u7814\u7a76\u751f \u4e13\u4e1a\u8bfe \u8bfe\u8868", "refiner_mode": "answer_only", ... | 1 | 1 | 0.85 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.75, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.75, "citation_paper_reward": 0.85, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_0bR7htz">题为“计算机科学与技术学院（大数据学院）2024-2025秋季学期研究生专业课课表”的通知页面显示发布时间为2024-09-20</snippet>，因此<snippet id="S_0bR7htz,S_yF6nLhB">该信息在2024年首次发布的月份是9月</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer based on search results about Andrea di Alessandro's birthplace. The agent believes he was born in Brescia and is looking for Italian-language confirmation of "nato a Brescia" (born in Brescia).
Let me examine the snippets for relevant information:
1. S_ocepVyQ - This is about a differ... | {"sample_id": "traj114_turn6", "traj_idx": 114, "turn_index": 6, "tool_name": "google_search", "tool_query": "\"Andrea di Alessandro\" nato a Brescia", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.74 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.55, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5666666666666667, "citation_paper_reward": 0.74, "citation_claim_count": 10.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_pplOUJ3">An Italian reference identifies him as “ANDREA (di Alessandro) di Brescia”</snippet>, and <snippet id="S_xNyTRIl,S_mcSed7q">other sources likewise call him “Andrea di Alessandro Bresciano” or “Andrea di Alessandro bresciano”</snippet>. <snippet id="S_UURG8Yc">A further result reports hi... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to find the year when Associate Professor Zhu Cui completed her master's degree.
I need to look at the search results provided in the raw tool output.
Snippet S_BP4aUVA: Official faculty profile from BJUT CS website.
Text: "2006年毕业于日本筑波大学计算机科学专业，获工学博士学位；1999年毕业于北京航空航天大学机械电子工程学院，..."
It mentions 1999 as ... | {"sample_id": "traj3_turn0", "traj_idx": 3, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66 \u8ba1\u7b97\u673a\u5b66\u9662 \u7af9\u7fe0 \u7b80\u4ecb", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer><snippet id="S_BP4aUVA,S_zhYHa5A">北京工业大学计算机学院副教授竹翠于1999年毕业于北京航空航天大学机械电子工程学院，取得机械电子工程硕士学位</snippet>。</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for the year Zhu Cui completed her master's degree. Based on the agent's reasoning and the search result, I need to extract this information from the webpage content.
Looking at the raw tool output:
- Snippet id "S_a7BwCeB" contains the relevant information
- It states: "She earned her master's degr... | {"sample_id": "traj3_turn1", "traj_idx": 3, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://cs.bjut.edu.cn/info/1509/3619.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_a7BwCeB>Zhu Cui earned her master’s degree in Mechanical and Electronic Engineering from Beihang University in 1999</snippet>.
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about optimal mechanism design for unit-demand buyers, specifically related to:
1. Cai-Daskalakis-Weinberg reduction to welfare/virtual VCG
2. Optimal mechanisms for unit-demand settings
3. Sequential posted pricing (SPM) guarantees for heterogeneous unit-demand
Looking at the sear... | {"sample_id": "traj101_turn1", "traj_idx": 101, "turn_index": 1, "tool_name": "snippet_search", "tool_query": "unit-demand optimal mechanism reduction to welfare virtual VCG Cai Daskalakis Weinberg", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_K8XJzIH">In multidimensional settings, Hartline et al. (2011) provides a black-box reduction for welfare maximization</snippet>. <snippet id="S_K8XJzIH">For unit-demand buyers, a sequential posted pricing mechanism achieves at least 1/6.75 of the optimal revenue</snippet>. <snippet id="S_K8XJzIH... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for specific results about revenue-optimal mechanisms for selling heterogeneous items to unit-demand agents. They want:
1. Approximation guarantees for unit-demand with multiple buyers (especially Chawla et al. style results)
2. Constants for item pricing/entry-fee mechanisms for unit-demand
3. Str... | {"sample_id": "traj101_turn2", "traj_idx": 101, "turn_index": 2, "tool_name": "snippet_search", "tool_query": "sequential posted pricing unit-demand bidders heterogeneous items approximation Chawla", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_bAehTte,S_xoygu0g">Chawla et al. showed that for unit-demand bidders, posted-price mechanisms give a constant-factor approximation to the revenue of the optimal Bayesian incentive compatible mechanism, and they extended this to an O(1) approximation for multiple unit-demand bidders via sequentia... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for confirmation from Wikipedia about the 2016 Spanish Grand Prix and wants to verify Max Verstappen's win. I need to check the search results to see if they confirm the winner.
Looking at the snippets from the 2016 Spanish Grand Prix Wikipedia search:
- S_ySIrebI: Says it was the fifth round of 2... | {"sample_id": "traj88_turn2", "traj_idx": 88, "turn_index": 2, "tool_name": "google_search", "tool_query": "2016 Spanish Grand Prix Wikipedia", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_ySIrebI>The Wikipedia result for the 2016 Spanish Grand Prix identifies it as the fifth round of the 2016 FIA Formula One World Championship and the forty-sixth running of the Spanish Grand Prix as a world championship event</snippet>. <snippet id=S_HjwxgWG>The related 2016 Formula One World Cham... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for confirmation of the 2016 Spanish Grand Prix winner, specifically Max Verstappen. They want to cross-verify with a Reuters search.
Looking at the snippets:
- S_IWjAHw6: States Verstappen took his first win in Spain in 2016 at age 18 years and 228 days, becoming youngest ever race winner
- S_dVV... | {"sample_id": "traj88_turn3", "traj_idx": 88, "turn_index": 3, "tool_name": "google_search", "tool_query": "Reuters 2016 Spanish Grand Prix Verstappen youngest winner", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_IWjAHw6,S_dVVw4wU,S_xz3X1MV,S_Xt8bwou">The 2016 Spanish Grand Prix was won by Max Verstappen.</snippet> <snippet id="S_IWjAHw6,S_dVVw4wU,S_xz3X1MV,S_Xt8bwou">Those reports also note that the win made Verstappen the youngest Formula One race winner, achieved at age 18.</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for the count of associate department heads (副系主任) for two departments within Shenzhen University's College of Computer Science and Software Engineering:
1. Artificial Intelligence Department (人工智能系)
2. Computer Science and Technology Department (计算机科学与技术系)
From the search results, I can find info... | {"sample_id": "traj97_turn0", "traj_idx": 97, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u6df1\u5733\u5927\u5b66 \u8ba1\u7b97\u673a\u4e0e\u8f6f\u4ef6\u5b66\u9662 \u4eba\u5de5\u667a\u80fd\u7cfb \u526f\u7cfb\u4e3b\u4efb", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": ... | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.625, "citation_avg_claim_precision": 0.75, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer><snippet id="S_tXoaTrm">深圳大学计算机与软件学院“教学系”官方页面显示，人工智能系主任为王熙照，副系主任为吴惠思、冯禹洪、王旭、戴涛，因此人工智能系共有4名副系主任</snippet>。<snippet id="S_2gPOSDa">王旭的个人主页也写明其职务包含“人工智能系副主任”</snippet>。<snippet id="S_L8TlwRY">学院教师页面还注明戴涛为“人工智能系副系主任”</snippet>，<snippet id="S_tXoaTrm,S_2gPOSDa,S_L8TlwRY">可作为上述4人名单的交叉印证</snippet>。</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about the deputy heads (副系主任) of 人工智能系 (AI Department) and 计算机科学与技术系 (Computer Science and Technology Department) on the official "教学系" page of Shenzhen University's College of Computer Science and Software Engineering.
From the raw tool output, I have one snippet (S_XRuoUXu) that ... | {"sample_id": "traj97_turn1", "traj_idx": 97, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://csse.szu.edu.cn/pages/organization/departments", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_XRuoUXu>On the 深圳大学计算机与软件学院“教学系”页面，计算机科学与技术系的副系主任为邹永攀、高灿、刘刚、赵阳，共4人</snippet>。<snippet id=S_XRuoUXu>该页面未提供人工智能系副系主任的信息</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for GitHub "app ideas" lists to start compiling a comprehensive list of hypothetical app/website/platform ideas. They're specifically looking at the florinpop17/app-ideas repository.
Let me analyze what information is available in the snippets:
1. S_zyNc3M7: florinpop17/app-ideas is a GitHub re... | {"sample_id": "traj80_turn0", "traj_idx": 80, "turn_index": 0, "tool_name": "google_search", "tool_query": "GitHub \"app ideas\" list florinpop17", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.727273 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5454545454545454, "citation_avg_claim_precision": 0.9090909090909091, "citation_avg_claim_f1": 0.5454545454545454, "citation_paper_reward": 0.7272727272727273, "citation_claim_count": 11.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1... | null | <answer>
<snippet id="S_zyNc3M7,S_nSTImY8,S_rVaoptv,S_J83MYUe">A strong match is the GitHub repository florinpop17/app-ideas, which is described as “a collection of application ideas” meant to help improve coding skills.</snippet> <snippet id="S_tS57vvu">A related writeup by the same author presents it as “80+ applicat... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for the "karan/Projects" GitHub repository which is a classic GitHub repository with many programming project ideas. The search results confirm this repository exists and contains practical project lists.
From the snippets, I can extract:
1. The repository is at github.com/karan/Projects
2. It con... | {"sample_id": "traj80_turn1", "traj_idx": 80, "turn_index": 1, "tool_name": "google_search", "tool_query": "GitHub karan Projects list", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.775 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.625, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.625, "citation_paper_reward": 0.775, "citation_claim_count": 8.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_3cmDlG6">The primary repository is GitHub’s karan/Projects, described as “a list of practical projects that anyone can solve in any programming language.”</snippet> <snippet id="S_3cmDlG6">The repo says the projects are divided into multiple categories.</snippet> <snippet id="S_8gVlwVQ">GitHub’s... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for concrete application ideas from the florinpop17/app-ideas GitHub repository. I need to summarize what the search results tell us about this repository and whether we can get specific itemized ideas from it.
Looking at the snippets:
- S_NgvdfPT: Shows it's a GitHub repository with application i... | {"sample_id": "traj80_turn3", "traj_idx": 80, "turn_index": 3, "tool_name": "google_search", "tool_query": "site:github.com florinpop17 app-ideas", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.82 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.7, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.7, "citation_paper_reward": 0.8200000000000001, "citation_claim_count": 10.0, "citation_uncited_claim_count": 6.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_NgvdfPT,S_RJa8EbO">The repository you want is GitHub’s florinpop17/app-ideas, described as “A Collection of application ideas which can be used to improve your coding skills.”</snippet> <snippet id="S_RJa8EbO">The search results also indicate it is a popular repo, showing about 85.2k stars and 9... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Okay, let me start by understanding what the agent is looking for. They want a broad list of hypothetical software ideas from various sources. The current step is to browse Paul Graham's "Frighteningly Ambitious Startup Ideas" page. The raw tool output gives some key points from that page.
First, I need to extract the... | {"sample_id": "traj80_turn7", "traj_idx": 80, "turn_index": 7, "tool_name": "browse_webpage", "tool_query": "https://www.paulgraham.com/ambitious.html", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 12.0, "citation_uncited_claim_count": 6.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_da3pPnh">Paul Graham’s “Frighteningly Ambitious Startup Ideas” explicitly proposes several high-level software and technology directions, including a new search engine for hackers focused on speed and simplicity</snippet>, <snippet id="S_da3pPnh">a system to replace email with a protocol that wo... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* **Task:** Answer the agent's query using the raw search results with inline citations.
* **Input:** Agent's reasoning (looking for USD fee for MRS discounted membership for professionals in low-income economies per World Bank) + Tool Call (browse_webpage on ... | {"sample_id": "traj54_turn1", "traj_idx": 54, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.mrs.org/docs/default-source/about-mrs-society-info-/2024-developingcountries_5x8.pdf?sfvrsn=72620d09_0", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer><snippet id=S_o1Zr8Je>The discounted MRS Professional membership fee for individuals from low-income economies, as classified by the World Bank, is $32.</snippet></answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* **Goal:** Provide actionable strategies for residents in Black communities in Pittsburgh to collaborate with local universities (Pitt, CMU), tech companies, and healthcare systems.
* **Specific Focus:** Evidence-backed examples of successful collaborations, ... | {"sample_id": "traj8_turn0", "traj_idx": 8, "turn_index": 0, "tool_name": "google_search", "tool_query": "University of Pittsburgh Community Engagement Center Homewood Hill District programs residents", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.833333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.7222222222222222, "citation_paper_reward": 0.8333333333333333, "citation_claim_count": 6.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_GMCDvzu,S_ylkKd0U">The University of Pittsburgh’s Community Engagement Centers in Homewood and the Hill District are designed as community-facing spaces that connect residents with Pitt and local partners, with the Homewood CEC described as a welcoming space open to both the community and the un... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer their query based on the raw search results provided. However, looking at the snippets, none of them actually contain information about a specific novel that matches their description.
Let me analyze each snippet:
1. Snippet 69746 - This explicitly states there's no searchable content ... | {"sample_id": "traj68_turn0", "traj_idx": 68, "turn_index": 0, "tool_name": "google_search", "tool_query": "MI6 ISI infiltrate militant novel British publisher terrorist plot mountainous region", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=69746>The available search results do not identify a specific novel matching an MI6/ISI collaboration to infiltrate a militant group tied to a terrorist plot in a mountainous region</snippet>. <snippet id=92547>One result discusses Stella Rimington’s Secret Asset, but it is described as an MI5-focu... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* Task: Answer the agent's query using raw search results with inline citations.
* Input: Agent's reasoning (looking for synopsis of "The Agent Runner" involving MI6-ISI/Pakistan infiltration and British imprint confirmation) + Raw Tool Output (3 snippets).
... | {"sample_id": "traj68_turn2", "traj_idx": 68, "turn_index": 2, "tool_name": "google_search", "tool_query": "Simon Conway The Agent Runner MI6 ISI Pakistan Hodder Stoughton synopsis", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="17944">Simon Conway’s The Agent Runner was published by the British imprint Hodder & Stoughton</snippet>. <snippet id="17944,51893">The novel centers on Edward Henry Malik, a British-Muslim MI6 handler/agent-runner whose asset “Nightingale” was placed inside Pakistan’s ISI to monitor Al Qaeda/Tali... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for evidence that "The Afghan" by Frederick Forsyth has mountainous-region settings, specifically Tora Bora/Hindu Kush/Afghanistan mountains. The search query was specifically about this, and the raw tool output contains three snippets that all confirm this detail.
Let me review the snippets:
1. ... | {"sample_id": "traj68_turn5", "traj_idx": 68, "turn_index": 5, "tool_name": "google_search", "tool_query": "\"The Afghan\" Frederick Forsyth Tora Bora Hindu Kush mountains setting", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=63526,60288,30417>Frederick Forsyth’s The Afghan is set largely in Afghanistan’s rugged Hindu Kush mountains, with the Tora Bora cave complex serving as a central location where fugitives hide and major action unfolds</snippet>. <snippet id=60288,30417>The novel uses remote mountains, cave networks... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for sources that show the plot's code name "al-Isra" leads to analysis of Quran/hadith and mentions religious law/sin in connection to a committee or analysis in "The Afghan" by Frederick Forsyth.
Looking at the search results:
- Snippet 37321 mentions "al-Isra" (Quranic reference) in Frederick Fo... | {"sample_id": "traj68_turn6", "traj_idx": 68, "turn_index": 6, "tool_name": "google_search", "tool_query": "\"The Afghan\" Forsyth al-Isra committee Quran hadith analysis review MI6", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.88 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8, "citation_paper_reward": 0.88, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="37321">The available evidence indicates that Frederick Forsyth’s The Afghan centers on MI6/CIA efforts to stop a planned al-Qaeda attack code-named “al-Isra,” which the snippet identifies as a Quranic reference</snippet>. <snippet id="37321">In the novel, SIS recruits Mike Martin to impersonate Gu... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* Input: Agent's reasoning (wants global growth rate for 2025-26 from a specific World Bank blog URL), Tool Call (browse_webpage on that URL), Raw Tool Output (one snippet, S_4pDRwak).
* Task: Write a short paragraph (3-6 sentences) answering the query using t... | {"sample_id": "traj115_turn2", "traj_idx": 115, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://blogs.worldbank.org/en/developmenttalk/the-global-economy-in-five-charts--the-outlook-for-2025-26", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8888888888888888, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 9.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer><snippet id=S_4pDRwak>The World Bank blog states that the global growth rate is forecast to stabilize at 2.7 percent in 2025–26</snippet>.</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to confirm the player level at which the "Pet Techniques" (宠物要诀) feature automatically unlocks in the mobile game "New Smiling Proud Wanderer" (新笑傲江湖). They have already seen a claim of level 74 from search results but want to verify it by browsing the official game website directly.
I have received a s... | {"sample_id": "traj51_turn2", "traj_idx": 51, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://xxa.wanmei.com/yxzl/xtgn/20191208/221083.shtml", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.742857 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5714285714285714, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5714285714285714, "citation_paper_reward": 0.7428571428571429, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_JWFSUBr">《新笑傲江湖》手游官网“宠物玩法”页面写明，玩家达到74级后会自动开启“宠物要诀”功能</snippet>。<snippet id="S_JWFSUBr">同一页面还列出宠物相关功能的开启等级：14级开启宠物系统，43级自动开启宠物驯养和宠物传功，100级自动开启宠物洗髓</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for a Haitian-born bishop who:
1. Is a Montfort Missionary (Company of Mary/S.M.M.)
2. Began religious training in Litchfield, Connecticut
3. Possibly served in or is associated with Cap-Haïtien
4. Led a diocese in a Caribbean port city
5. Has South American connection
The search results show:
1... | {"sample_id": "traj44_turn1", "traj_idx": 44, "turn_index": 1, "tool_name": "google_search", "tool_query": "Haitian Montfort Missionary bishop Litchfield Connecticut Cap-Haitien", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.828571 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8571428571428571, "citation_avg_claim_precision": 0.8571428571428571, "citation_avg_claim_f1": 0.7142857142857143, "citation_paper_reward": 0.8285714285714285, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.... | null | <answer>
<snippet id=51324>The Company of Mary (Montfort Missionaries) has a U.S. Province with a retreat house and Marian shrine in Litchfield, Connecticut</snippet>. <snippet id=51324>The same source says the Montfortians in Haiti serve parishes in the dioceses of Port-de-Paix, Port-au-Prince, and Gonaïves and also w... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for biographical information about François Gayot, specifically checking for New England training or South American assignments. Looking at the search results, I can see biographical details but there's no mention of New England training or South American assignments in any of the snippets.
Let ... | {"sample_id": "traj44_turn3", "traj_idx": 44, "turn_index": 3, "tool_name": "google_search", "tool_query": "Francois Gayot SMM Cap-Haitien biography", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.9 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8333333333333334, "citation_paper_reward": 0.9, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=47179,60649,32927>François Gayot, S.M.M., was a Haitian Catholic prelate born on 17 July 1927 in Saint-Louis-du-Nord and ordained a priest on 7 February 1954.</snippet> <snippet id=47179,32927>He was appointed Bishop of Cap-Haïtien on 22 November 1974 and consecrated on 2 February 1975.</snippet> <... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for information about "François Gayot Litchfield Connecticut Montfort" to find evidence of New England training (possibly in Litchfield, CT) and collaboration with fellow order members. However, the search results provided show that the search returned irrelevant information about Fran Drescher a... | {"sample_id": "traj44_turn4", "traj_idx": 44, "turn_index": 4, "tool_name": "google_search", "tool_query": "Fran\u0000cois Gayot Litchfield Connecticut Montfort", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.88 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8, "citation_paper_reward": 0.88, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=29373,40347>The search results do not provide any relevant evidence about François Gayot, Litchfield, Connecticut, or Montfort training.</snippet> <snippet id=29373>The main returned result is about Fran Drescher and explicitly notes a mismatch with the query.</snippet> <snippet id=40347,97045>Anot... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about collaboration between Pierre-Antoine Paulo and Bishop François Colimon, specifically during the coadjutor period. Let me analyze the snippets to see what information they provide about this collaboration.
Snippet 39255 shows that:
- Paulo was named Coadjutor Bishop of Port-de... | {"sample_id": "traj44_turn7", "traj_idx": 44, "turn_index": 7, "tool_name": "google_search", "tool_query": "Pierre-Antoine Paulo coadjutor Bishop Fran\u0000d0ois Colimon collaboration Port-de-Paix OMI SMM", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.88 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8, "citation_paper_reward": 0.88, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=39255>Pierre-Antoine Paulo, OMI, was named Coadjutor Bishop of Port-de-Paix on 7 July 2001 and succeeded Bishop François Colímon, S.M.M., as bishop on 1 March 2008</snippet>. <snippet id=39255>At Paulo’s episcopal consecration on 14 October 2001, Bishop François Colímon, S.M.M., served as one of th... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* Goal: Identify Sandra Shenge's affiliation as listed specifically on page 1 of "Academic journals – News, Research and Analysis – The Conversation."
* Input: Agent's reasoning (search query) and Raw Tool Output (5 search snippets).
* Task: Write a shor... | {"sample_id": "traj79_turn0", "traj_idx": 79, "turn_index": 0, "tool_name": "google_search", "tool_query": "Sandra Shenge site:theconversation.com Academic journals \"News, Research and Analysis\"", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_CiWZhA1">On page 1 of The Conversation’s “Academic journals – News, Research and Analysis” topic page, Sandra Shenge is listed with the affiliation “Aegis Trust.”</snippet> <snippet id="S_CiWZhA1">The page snippet shows the byline text “… University of London, and Sandra Shenge, Aegis Trust.”</s... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | Thinking Process:
1. **Analyze the Request:**
* Input: Agent's reasoning (looking for Sandra Shenge's affiliation on The Conversation's "academic-journals" topic page), Tool Call (browse_webpage), Raw Tool Output (one snippet).
* Task: Write a short paragraph (3-6 sentences) directly answering the query u... | {"sample_id": "traj79_turn1", "traj_idx": 79, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://theconversation.com/topics/academic-journals-2704", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_pkvXHe1>The browsed The Conversation topic page on “academic journals” does not contain information about Sandra Shenge’s affiliation</snippet>, and <snippet id=S_pkvXHe1>it does not mention Sandra Shenge specifically, instead focusing on topics such as peer review and challenges in scholarly pub... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to know the official policy from Shandong University of Finance and Economics (山东财经大学) regarding PhD admissions via the "application-assessment" (申请-考核) method, specifically about the opportunity arrangement for the "project establishment" (课题项目立项) category.
I need to look at the raw search results prov... | {"sample_id": "traj102_turn0", "traj_idx": 102, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u5c71\u4e1c\u8d22\u7ecf\u5927\u5b66 \u535a\u58eb \u7533\u8bf7-\u8003\u6838 \u5b9e\u65bd\u529e\u6cd5 \u8bfe\u9898\u9879\u76ee\u7acb\u9879 \u62db\u751f\u673a\u4f1a \u5b89\u6392", "refiner_mode": "answer_only", "... | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_fi4nxdq">山东财经大学在《博士研究生招生“申请-考核”实施办法（试行）》中明确规定，博士研究生可通过“申请-考核”选拔方式招生。</snippet> <snippet id="S_fi4nxdq">其中，对“课题项目立项招生”这一类别，政策写明“仅在当年或下一年安排一次‘申请-考核’招生机会”。</snippet> <snippet id="S_fi4nxdq">同一条款还显示，该方式下可“招收1名博士研究生”，说明课题项目立项类机会按单次、单名额安排。</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to find the exact clause from Shandong University of Finance and Economics' official "申请-考核" (Application-Assessment) implementation method about how opportunities are arranged for the "课题项目立项" (Project Establishment) admissions category.
The agent's query was specifically searching for the exact phrase... | {"sample_id": "traj102_turn2", "traj_idx": 102, "turn_index": 2, "tool_name": "google_search", "tool_query": "\"\u4ee5\u8bfe\u9898\u9879\u76ee\u7acb\u9879\u62db\u751f\u7684\u4ec5\u5728\u5f53\u5e74\u6216\u4e0b\u4e00\u5e74\u5b89\u6392\u4e00\u6b21\"\u7533\u8bf7-\u8003\u6838\"\u62db\u751f\u673a\u4f1a\"", "refiner_mode": "a... | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 0.6666666666666666, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_pmMOVJe>山东财经大学官网《博士研究生招生“申请-考核”实施办法（试行）》写明： “以课题项目立项招生的仅在当年或下一年安排一次‘申请-考核’招生机会”</snippet>。<snippet id=S_pmMOVJe>该句出现在有关博士研究生招生“申请-考核”选拔方式的说明中，用于限定“课题项目立项招生”这一类别的招生机会安排</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is searching for information about "Boring, Tennessee" to understand what this place is. I need to read through the snippets and create a concise answer about this location.
From the snippets:
1. Snippet 58221: Boring is an unincorporated community in southern Sullivan County, Tennessee, located off Tennesse... | {"sample_id": "traj30_turn4", "traj_idx": 30, "turn_index": 4, "tool_name": "google_search", "tool_query": "Boring, Tennessee", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="58221">Boring is an unincorporated community in southern Sullivan County, Tennessee, located off Tennessee State Route 75 southeast of Kingsport at 36.45694°N, 82.41944°W</snippet>. <snippet id="58221">A post office operated there from 1881 to 1903, and the name likely comes from a Boring family l... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for notable people with the surname "Boring". I have three search results that contain information about notable individuals with this surname.
Let me identify the key information from each snippet:
Snippet 36634:
- Mel Boring (b.1939), American children's non-fiction author
- William Alciphron B... | {"sample_id": "traj30_turn7", "traj_idx": 30, "turn_index": 7, "tool_name": "google_search", "tool_query": "Boring (surname) notable people", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8888888888888888, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 9.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=36634,72440>Notable people with the surname Boring include Edwin G. Boring (1886–1968), an influential American experimental psychologist; Wayne Boring (1905–1987), an American comic-book artist known for Superman; and William Alciphron Boring (1859–1937), an American architect.</snippet> <snippet ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's search query about "earth-boring dung beetle Geotrupidae" using the provided search snippets. I need to write a concise paragraph (3-6 sentences) with inline citations for each factual claim.
Let me extract the key information from the snippets:
1. Geotrupidae are earth-boring d... | {"sample_id": "traj30_turn8", "traj_idx": 30, "turn_index": 8, "tool_name": "google_search", "tool_query": "earth-boring dung beetle Geotrupidae", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=59213,42913,60643>Geotrupidae are the earth-boring dung beetles, also called dor beetles, a scarabaeoid beetle family with about 600 species worldwide.</snippet> <snippet id=59213,42913,60643>They are burrowing beetles whose adults dig brood burrows beneath dung, decaying vegetation, fungi, or othe... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about funding amounts for "金种子" (Golden Seed) projects at South China Normal University (SCNU), using the provided search snippet.
The agent's reasoning indicates they were looking for funding amounts for "金种子" by category, specifically on the cs.scnu.edu.cn implementation... | {"sample_id": "traj29_turn1", "traj_idx": 29, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "http://cs.scnu.edu.cn/a/20161108/2763.html", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.9 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8333333333333334, "citation_paper_reward": 0.9, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_Q40VqQ3">华南师范大学“挑战杯”金种子培育项目面向全日制本科生和研究生，资助创新研究项目。</snippet><snippet id="S_Q40VqQ3">资助额度按类别至少为：自然科学类学术论文项目 6000 元、社会科学类调查报告项目 3000 元。</snippet><snippet id="S_Q40VqQ3">项目研究周期一般不超过 1 年，可个人或团队申报，团队最多 6 人，且须至少有 1 名具有高级职称的指导教师。</snippet><snippet id="S_Q40VqQ3">经费按学校年度预算安排拨付，并须专款专用于与研究相关的支出。</snippet>
... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | 好的，我需要回答用户的问题，也就是关于2024年9月中国科大哪位教授团队获得IEEE Cluster 2024最佳论文奖，以及同期一项建筑命名致敬了哪位已故科学家。现在用户已经检索了第一个信息，通过打开新闻链接得到了孙广中教授团队的获奖信息。现在需要确认具体的教授名字，根据提供的片段，标题和内容都明确提到孙广中教授团队获得最佳论文奖。所以第一部分的问题解决了。
接下来，用户需要第二个信息，关于同时期的建筑命名致敬已故科学家。但当前的工具输出只提供了第一个问题的答案，第二个问题需要进一步检索。不过根据用户的指令，他们希望我根据现有的工具输出来回答，可能他们还没有进行第二部分的检索，或者希望结合已有信息。不过根据任务要求，我需要直接回... | {"sample_id": "traj35_turn1", "traj_idx": 35, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://news.ustc.edu.cn/info/1055/89098.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 2.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_qb1cSA9">2024年9月中国科大获得IEEE Cluster 2024最佳论文奖的是计算机科学与技术学院孙广中教授团队</snippet>。<snippet id="S_qb1cSA9">该论文的通讯作者是孙经纬特任副研究员</snippet>。<snippet id="S_qb1cSA9">新闻还指出，第一作者罗极羽、第二作者闫韬和第三作者徐庆国三位研究生均由孙广中教授和孙经纬特任副研究员共同指导</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer the agent's query about the anthology film "Stories of Lost Souls" based on the search results provided. The agent wants confirmation about:
1. The anthology title
2. Directors including Mark Palansky and Deborra-Lee Furness
3. Cast including Joanna Lumley and Billy Boyd
4. Distribution ... | {"sample_id": "traj231_turn0", "traj_idx": 231, "turn_index": 0, "tool_name": "google_search", "tool_query": "Stories of Lost Souls cast directors Joanna Lumley Billy Boyd Palansky Furness", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5416666666666666, "citation_avg_claim_precision": 0.9166666666666666, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 12.0, "citation_uncited_claim_count": 5.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=20350>“Stories of Lost Souls” is a 2005 anthology film made up of eight short segments</snippet>. <snippet id=20350>Its directors include Mark Palansky, who directed “The Same,” and Deborra-Lee Furness, who directed “Standing Room Only”</snippet>. <snippet id=20350,74583>Joanna Lumley and Billy Boy... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is trying to confirm the full name of a research center at Chang'an University (长安大学). They want to browse the university's research platform page to find the exact full name of the center.
The tool output shows a snippet from the official website (https://www.chd.edu.cn/kxyj/kypt.htm) which contains the tex... | {"sample_id": "traj138_turn1", "traj_idx": 138, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.chd.edu.cn/kxyj/kypt.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_RrayZmx">长安大学官网“科研平台”页面列出的该平台全称为“陕西省车联网与智能汽车测试技术工程研究中心”</snippet>。<snippet id="S_RrayZmx">这表明其正式名称中包含“陕西省”前缀，且完整表述为“车联网与智能汽车测试技术工程研究中心”</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer a query about South Korea's stance under President Yoon vs his predecessor, based on an EIU Global Outlook document. I have the search result from the browse_webpage tool.
Looking at the snippet provided:
- <snippet id="S_IA0Owx5"> contains the relevant information: "South Korea's Presi... | {"sample_id": "traj132_turn1", "traj_idx": 132, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.eiu.com/n/global-outlook-looking-ahead-to-2025/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_IA0Owx5>In EIU’s “Global Outlook: looking ahead to 2025,” South Korea’s President Yoon Suk Yeol is described as having “shown a reduced inclination towards diplomatic engagement with North Korea compared to his predecessor, Moon Jae-in.”</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking about the likely release timing of DeepSeek's second reasoning model "DeepSeek R2." I need to find what the search snippets say about release dates, timelines, or official announcements.
Looking at the snippets:
1. S_XKt5qa8 - Mentions DeepSeek-R2 was initially scheduled for release in May 2025, w... | {"sample_id": "traj152_turn0", "traj_idx": 152, "turn_index": 0, "tool_name": "google_search", "tool_query": "deepseek r2 release date \"DeepSeek R2\" announcement", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_DCSfUw4,S_OHWgZ4s,S_jcp1fof">DeepSeek-R2 does not appear to have an official release date yet: reports say DeepSeek denied speculation about an August launch window, and other coverage states the company still had not announced a definitive date</snippet>. <snippet id="S_3ZJCwHg">One report cite... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for information about the revised 2024 oil demand growth figure from the IEA OMR – February 2025 report. Let me analyze the snippets:
1. Snippet S_MtW6FDR (IEA Oil Market Report - February 2025): States "Global oil demand growth is projected to average 1.1 mb/d in 2025, up from 870 kb/d in 2024." Th... | {"sample_id": "traj217_turn0", "traj_idx": 217, "turn_index": 0, "tool_name": "google_search", "tool_query": "Reuters IEA Oil Market Report February 2025 revised 2024 demand growth 870 kb/d", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_MtW6FDR">The IEA’s February 2025 Oil Market Report says global oil demand growth in 2024 was 870 kb/d</snippet>. <snippet id="S_MtW6FDR">That same report projects 2025 demand growth at 1.1 mb/d, up from 870 kb/d in 2024</snippet>. <snippet id="S_lNr3mBz">The Reuters result provided does not conf... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer a query based on the agent's reasoning. The agent wanted to find out how many economies are covered in the Ai Group CET "Future of Jobs Report 2025".
Looking at the tool output, there is a snippet that directly answers this question:
<snippet id="S_pDH81DN">
Title: https://cet.aigroup.... | {"sample_id": "traj165_turn1", "traj_idx": 165, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://cet.aigroup.com.au/news/reports-submissions/2025/future-of-jobs-report-2025/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer><snippet id=S_pDH81DN>The Future of Jobs Report 2025 covers 55 economies worldwide</snippet>.</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about what short-term interest rate range the Fed maintained at its first 2025 meeting, based on the Vanguard article.
From the raw tool output, I have:
<snippet id="S_6p1Toxb">Federal Reserve policymakers left their target for short-term interest rates unchanged, in a ran... | {"sample_id": "traj168_turn1", "traj_idx": 168, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://corporate.vanguard.com/content/corporatesite/us/en/corp/articles/investment-economic-outlook-feb-2025.html", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_6p1Toxb>At its first meeting of 2025, Federal Reserve policymakers left their target for short-term interest rates unchanged at a range of 4.25%–4.5%.</snippet>
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for solutions to lagging phones after updating to Xiaomi HyperOS 2. They want authoritative and recent sources with specific fixes.
Looking at the search results, I have 5 snippets, but none of them contain actual solutions or step-by-step fixes. They're mostly complaint posts and forum discussion... | {"sample_id": "traj211_turn0", "traj_idx": 211, "turn_index": 0, "tool_name": "google_search", "tool_query": "HyperOS 2 lagging", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 9.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_vX1q0fN,S_gQL5JEe,S_fiQ6uOR,S_B9FffJm">Search results suggest that lag after updating to HyperOS 2 is a common user-reported issue, with complaints including stutter, reduced responsiveness, and worse multitasking.</snippet> <snippet id="S_vX1q0fN">One Reddit report says restarting the phone tem... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for information about UnifyApps' Series A funding on October 20, 2024, including the funding amount and newly appointed CRO. However, I need to check the snippets for the actual date of the press release.
Looking at the snippets:
- Snippet S_qM4NeQP: TechCrunch article dated 2024/11/08 (November 8... | {"sample_id": "traj135_turn0", "traj_idx": 135, "turn_index": 0, "tool_name": "google_search", "tool_query": "UnifyApps Series A October 20 2024", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5625, "citation_avg_claim_precision": 0.75, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 8.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_qM4NeQP,S_PkSru61,S_1WZWRhb,S_KAB4DaG">The available search results consistently show that UnifyApps’ Series A round was $20 million, led by ICONIQ Growth.</snippet> <snippet id="S_qM4NeQP">TechCrunch reports this as a $20 million Series A raised in November 2024, noting it came less than six mo... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking for the number of countries whose programmes were submitted to the INPUT 2023 International Selection Conference held Jan 30–Feb 5, 2023.
From the raw tool output, I have:
<snippet id="S_OdP6MPp">
Title: https://www.input-tv.org/news/d39k4rsuk7mwl4vy2856fndmmfg3nv-mn3zp-hdwyh
URL: https://www.input... | {"sample_id": "traj140_turn1", "traj_idx": 140, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.input-tv.org/news/d39k4rsuk7mwl4vy2856fndmmfg3nv-mn3zp-hdwyh", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_OdP6MPp">The INPUT 2023 International Selection Conference in Berlin was scheduled for January 30 to February 5, 2023</snippet>, and <snippet id="S_OdP6MPp">over 180 programmes were submitted from 29 countries</snippet>. <snippet id="S_OdP6MPp">Therefore, the number of countries whose programmes... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about whether Dostoevsky could have had thoughts on Nabokov, and to find Nabokov's views on Dostoevsky with citations. The agent's current query in step 1 is about establishing the chronological impossibility (Dostoevsky's death vs. Nabokov's birth).
From the raw tool outp... | {"sample_id": "traj226_turn0", "traj_idx": 226, "turn_index": 0, "tool_name": "google_search", "tool_query": "Dostoevsky death 1881 Britannica Nabokov born 1899 Britannica", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_iOh6rUS,S_iHc1yAj">Britannica states that Fyodor Dostoyevsky died on February 9, 1881</snippet>, while <snippet id="S_acxhvAo">Britannica states that Vladimir Nabokov was born on April 22, 1899</snippet>. <snippet id="S_iOh6rUS,S_acxhvAo">Because Dostoyevsky died 18 years before Nabokov was born... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for information about Nabokov's views on Dostoevsky, particularly looking for verbatim quotes or reputable summaries from sources like the Paris Review, Strong Opinions, and similar primary sources.
Let me analyze the snippets I have:
1. S_FIl4yZB - New York Times article with a direct quote callin... | {"sample_id": "traj226_turn1", "traj_idx": 226, "turn_index": 1, "tool_name": "google_search", "tool_query": "Nabokov on Dostoevsky Paris Review interview Strong Opinions", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_FIl4yZB,S_YXVXQY9,S_DCfHLDR">The search results show that Nabokov’s view of Dostoevsky was sharply negative.</snippet> <snippet id="S_FIl4yZB">In a New York Times Magazine piece titled “Nabokov on Dostoyevsky,” Nabokov is quoted as saying, “Dostoyevsky is not a great writer, but a rather mediocr... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query based on the raw search results provided. The agent is trying to identify a historical administrative unit (Kaluga Governorate) that contained Kozelsk, Mosalsk, and Kaluga as subdivisions, and that reported a small number of native speakers of a language closely related to ... | {"sample_id": "traj155_turn0", "traj_idx": 155, "turn_index": 0, "tool_name": "google_search", "tool_query": "Kaluga Governorate uyezds Kozelsk Mosalsk Kaluzhsky 1897 census language Belarusian", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.914286 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8571428571428571, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8571428571428571, "citation_paper_reward": 0.9142857142857143, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=71221,44034>The historical administrative unit was Kaluga Governorate of the Russian Empire, which in 1897 included the uyezds of Kozelsky (Kozelsk), Mosalsky (Mosalsk), and Kaluzhsky (Kaluga)</snippet>. <snippet id=71221,44034>In the 1897 census, Kaluga Governorate had a population of 1,132,843 an... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to identify the specific PS5 audio technology that the PULSE 3D wireless headset and PS VR2 headset both support, based on the search results provided.
Looking at the search results, I can see multiple mentions of "Tempest 3D AudioTech" in relation to the PULSE 3D wireless headset. However, I not... | {"sample_id": "traj153_turn0", "traj_idx": 153, "turn_index": 0, "tool_name": "google_search", "tool_query": "site:playstation.com PULSE 3D Tempest 3D AudioTech", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.625, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_4paDsot">The official PlayStation page says the PULSE 3D wireless headset is specifically tuned to deliver PS5 3D audio and is powered by Tempest 3D AudioTech</snippet>. <snippet id="S_57wwCxm,S_3YViO9R">PlayStation Blog also says the PULSE 3D headset was designed to take full advantage of the c... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to provide a concise paragraph answering their query about assigning permissions to an Exchange calendar using PowerShell, based on the raw search results provided. I need to use inline citations with the snippet IDs provided.
Let me analyze what information is available in the snippets:
1. S_ecY9Jj... | {"sample_id": "traj199_turn0", "traj_idx": 199, "turn_index": 0, "tool_name": "google_search", "tool_query": "Add-MailboxFolderPermission calendar Exchange Online Microsoft Learn", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_ecY9JjF">The Microsoft Learn page you want is “Add-MailboxFolderPermission (ExchangePowerShell),” which documents the cmdlet used to add folder-level permissions for users in mailboxes</snippet>. <snippet id="S_ecY9JjF">It is the authoritative Exchange PowerShell reference for adding permissions... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for authoritative guidance on adding calendar permissions in Exchange using PowerShell, specifically requesting examples and calendar-specific details from the Add-MailboxFolderPermission documentation.
I need to write a concise answer using the information from the provided snippet, with inline c... | {"sample_id": "traj199_turn1", "traj_idx": 199, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://learn.microsoft.com/en-us/powershell/module/exchangepowershell/add-mailboxfolderpermission?view=exchange-ps", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 5.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_SEvcN0D">The Microsoft Learn page for Add-MailboxFolderPermission says the cmdlet adds folder-level permissions and, for calendars, uses folder identities like "ayla@contoso.com:\Calendar"</snippet>. <snippet id="S_SEvcN0D">It documents calendar access roles including Owner, Editor, Availability... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to find information about Get-MailboxFolderPermission cmdlet from the provided search results. Looking at the snippet, I can extract key information about:
1. What the cmdlet does (view folder-level permissions in mailboxes)
2. Identity path syntax format (MailboxID:\ParentFolder[\SubFolder])
3. Examp... | {"sample_id": "traj199_turn2", "traj_idx": 199, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://learn.microsoft.com/en-us/powershell/module/exchangepowershell/get-mailboxfolderpermission?view=exchange-ps", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.775 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.625, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.625, "citation_paper_reward": 0.775, "citation_claim_count": 8.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_hKvq4uP">The Get-MailboxFolderPermission cmdlet is used to view folder-level permissions in mailboxes.</snippet> <snippet id="S_hKvq4uP">Its Identity syntax is MailboxID:\ParentFolder[\SubFolder], with examples such as "john@contoso.com:\Calendar" and "john@contoso.com:\Marketing\Reports."</snip... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for Zhang Shiwen's current position at Hunan University of Science and Technology's School of Computer Science and Engineering. The agent's search query was "湖南科技大学 计算机科学与工程学院 张世文 职务 招生宣传 2024 图灵大会".
Looking at the search results:
- S_Y3DVOze mentions a news article about teachers and students fro... | {"sample_id": "traj160_turn0", "traj_idx": 160, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u6e56\u5357\u79d1\u6280\u5927\u5b66 \u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662 \u5f20\u4e16\u6587 \u804c\u52a1 \u62db\u751f\u5ba3\u4f20 2024 \u56fe\u7075\u5927\u4f1a", "refiner_mode": "answer... | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 0.875, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 8.0, "citation_uncited_claim_count": 6.0, "citation_score_applicable": 1.0} | null | <answer><snippet id="S_Y3DVOze">当前检索结果中，湖南科技大学计算机科学与工程学院官网仅显示一则题为“我院师生参加2024 ACM中国图灵大会”的新闻页面</snippet>，<snippet id="S_Y3DVOze">但该摘要未提供张世文的职务信息</snippet>。<snippet id="S_ZtyKBnp">另一个相关官方来源是《湖南科技大学年鉴（2023）》，其摘要说明年鉴包含“机构设置、干部名单”等内容</snippet>，<snippet id="S_ZtyKBnp">但现有摘要同样没有出现张世文在计算机科学与工程学院的现任职务</snippet>。<snippet id="S_Y3... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for Zhang Shiwen's position/title at Hunan University of Science and Technology.
Let me analyze the raw tool output:
- Snippet ID: S_SlMXACN
- URL: https://computer.hnust.edu.cn/xyxw/5f34304d19b24c1fa3f0e4819fc2c689.htm
- Text: "Zhang Shiwen is mentioned as the Deputy Dean (副院长) of the School of C... | {"sample_id": "traj160_turn1", "traj_idx": 160, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://computer.hnust.edu.cn/xyxw/5f34304d19b24c1fa3f0e4819fc2c689.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_SlMXACN>张世文是湖南科技大学计算机科学与工程学院副院长</snippet>，<snippet id=S_SlMXACN>他作为学院师生代表之一参加了2024年7月5日至7日在长沙举行的2024 ACM中国图灵大会</snippet>。
</answer> |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for a detailed match report of the 2010 FIFA World Cup Final between Spain and Netherlands. I need to extract information from the snippets to provide a concise answer about this match.
From the snippets, I can gather:
- The match was played on July 11, 2010, at Soccer City, Johannesburg
- The fin... | {"sample_id": "traj222_turn0", "traj_idx": 222, "turn_index": 0, "tool_name": "google_search", "tool_query": "2010 World Cup Final Spain vs Netherlands match report FIFA", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8888888888888888, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 9.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_rvl26mB">The 2010 FIFA World Cup final between the Netherlands and Spain was played at Soccer City in Johannesburg on Sunday, 11 July 2010</snippet>. <snippet id="S_k4uWyPt,S_8e8URCX">Spain won 1–0 after extra time</snippet>, and <snippet id="S_k4uWyPt">Andres Iniesta scored the dramatic late ex... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to answer based on the agent's reasoning and the search results they provided. The agent is researching Spain vs Netherlands matches, specifically starting with the 2010 World Cup Final.
From the raw tool output, I have one snippet (S_glfPG0u) that contains detailed information about the 2010 Wor... | {"sample_id": "traj222_turn1", "traj_idx": 222, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "http://news.bbc.co.uk/sport2/hi/football/world_cup_2010/matches/match_64", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 8.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_glfPG0u">Spain beat the Netherlands 1–0 in the 2010 FIFA World Cup final, with Andrés Iniesta scoring the winner in the 116th minute</snippet>. <snippet id="S_glfPG0u">The match was exceptionally ill-tempered, featuring 14 yellow cards, and Dutch defender John Heitinga was sent off in the 109th ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking me to confirm information about Scott Kelby's Worldwide Photo Walk being the "world's largest social photography event" and that it is an in-person event. I need to analyze the snippets to find evidence supporting these claims.
Looking at the snippets:
- S_l8yq7ln: Title says "World's Largest Photo... | {"sample_id": "traj174_turn0", "traj_idx": 174, "turn_index": 0, "tool_name": "google_search", "tool_query": "Scott Kelby Worldwide Photo Walk largest social photography event in-person", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 9.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_l8yq7ln,S_CipGD0b">Scott Kelby’s Worldwide Photo Walk is explicitly billed as “the world’s largest social photography event.”</snippet> <snippet id="S_isT0IaK">The event is in-person: the official FAQ describes it as a social photography event where photographers get together, usually in a downt... |
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