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Paper Citation Record · LEDGER

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

As of 17 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 5 inbound Pith citation observations for arXiv:2509.09734.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.09734 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:09:59.965344Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:55:44.614190Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

97 of 97 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved76
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f04dbfa6-bd77-4fa5-a37a-4a79c0534a81 · outbound

This paper cites GPT-4 Technical Report.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-15T16:09:59.575503Z digest=sha256:7a74ca4467921fa83cef06aeb1b604480627ff3c562eec4574c172dd759186ac

Observation 1c176bf0-9594-424c-85a3-f87a194761ba · outbound

This paper cites Introducing computer use, a new claude 3.5 sonnet, and claude 3.5 haiku.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Introducing computer use, a new claude 3.5 sonnet, and claude 3.5 haiku

Reference 2

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source=pdf_text observed=2026-08-15T16:09:59.579805Z digest=sha256:e73dc0ae3435fe27344d4529a637ed25f43b4b01eaecf9678ec7e5db6f901563

Observation d86f00c7-2f53-4b4f-98f1-81525ec2864f · outbound

This paper cites Claude 3.7 sonnet anthropic.https://www.anthropic.com/claude/sonnet, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Claude 3.7 sonnet anthropic.https://www.anthropic.com/claude/sonnet, 2025

Reference 3

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source=pdf_text observed=2026-08-15T16:09:59.583800Z digest=sha256:cf7223dbf56874d804a8caa15a23872cdc1c78af02ad418f517b3df484db8d05

Observation 13fd310f-916e-492d-8eb7-c9e0726846d5 · outbound

This paper cites Introducing the model context protocol anthropic.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Introducing the model context protocol anthropic

Reference 4

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source=pdf_text observed=2026-08-15T16:09:59.588628Z digest=sha256:49633103bfedf1cc11a8b3315217f93c4464bc586f5b0d6e4a0258015e308710

Observation 168e0b27-54d9-4bf3-9214-81fc55a441e2 · outbound

This paper cites chatmcp/mcprouter: api router for mcp servers.https://github.com/chatmcp/mcprouter, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools chatmcp/mcprouter: api router for mcp servers.https://github.com/chatmcp/mcprouter, 2025

Reference 5

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source=pdf_text observed=2026-08-15T16:09:59.592747Z digest=sha256:94eb7d303765152d5d034c9bd91f6f185cce8e8b3098fa32ea656f5589a38cae

Observation 879c22a6-6d85-44f4-94b4-f24bbb89cca9 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

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source=pdf_text observed=2026-08-15T16:09:59.597405Z digest=sha256:5cb9b13b5dcd1ee17d6f2bf01dc753128d52f6f65df2dd9a24cd09e8b7b86794

Observation 0d707125-de91-4dd9-ab94-c8e7357ff80c · outbound

This paper cites Deepseek-v3 technical report, 2024.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Deepseek-v3 technical report, 2024

Reference 7

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source=pdf_text observed=2026-08-15T16:09:59.601414Z digest=sha256:7a8eaf37c82cd3883b2a257ce265ea3fcf0ad7814ddd84e060f7aa56d7a6c384

Observation a69e02be-1b26-40b3-a1a4-625b84f0f6d9 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 8

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source=pdf_text observed=2026-08-15T16:09:59.605512Z digest=sha256:52140e8da18ce63a2b0830c5674afa38522adc85c595dee949d3bc0d922e8836

Observation 4868df1c-a4c8-4185-9104-61bdfeb4cd00 · outbound

This paper cites Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models.arXiv preprint arXiv:2505.16700, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models.arXiv preprint arXiv:2505.16700, 2025

Reference 9

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source=pdf_text observed=2026-08-15T16:09:59.608363Z digest=sha256:f4890a679ba80b038d2de0d1105aac6e882c912291e61be91465b0ee0c764ef4

Observation 47ac5a24-933a-4641-a266-90082df9a8ae · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 10

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source=pdf_text observed=2026-08-15T16:09:59.612031Z digest=sha256:2dd11c2160a0bd6e673fc9318b39b8b3e441221c74325c79b5e17c4b36f75df5

Observation b7f07f99-ff07-4187-b9aa-fb238c678cfe · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools MetaGPT: Meta programming for a multi-agent collaborative framework

Reference 11

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source=pdf_text observed=2026-08-15T16:09:59.615822Z digest=sha256:ad46b9431c36dcc3ada03088a4ccc31b4897704186be355f6c048f8514dcbe63

Observation b6663164-3117-4521-a806-277fa4e005d3 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 12

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source=pdf_text observed=2026-08-15T16:09:59.619700Z digest=sha256:051f7fd0a3d7a3cbb8a61461a6db0b04768f1159d64a9e0a5a2009dbc4335b7c

Observation 06a0485c-5b00-4639-8864-5c4b1bd3625a · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Towards Reasoning in Large Language Models: A Survey

Reference 13

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source=pdf_text observed=2026-08-15T16:09:59.623636Z digest=sha256:ea89667022756ae9939d8228853d37a7d11c98d0e34beb6cf35f3bf28b82aae4

Observation 07521cd2-d296-4137-989a-a8f50c0fc1f5 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Understanding the planning of LLM agents: A survey

Reference 14

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source=pdf_text observed=2026-08-15T16:09:59.627932Z digest=sha256:54a693a8733ab92bd138afba96aacd12d475a7b52a78230191cd8fd5b8474f3e

Observation 6bcab3ce-d232-43fd-9c9f-8e146d990f11 · outbound

This paper cites Api-bank: A comprehensive benchmark for tool-augmented llms, 2023.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Api-bank: A comprehensive benchmark for tool-augmented llms, 2023

Reference 15

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source=pdf_text observed=2026-08-15T16:09:59.631917Z digest=sha256:12ff70caf8ce275e4fd8314b7bcfc83f358236092a7871df1da7c3f570677402

Observation d062aab7-dc66-429e-9918-2665bfa91a1c · outbound

This paper cites Large Language Model-Based Agents for Software Engineering: A Survey.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Large Language Model-Based Agents for Software Engineering: A Survey

Reference 16

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source=pdf_text observed=2026-08-15T16:09:59.635780Z digest=sha256:9e547f44eefa846e2b6d81358505d0e11a052f952d3328510d6f9503327c821f

Observation b57c8d05-524a-4962-90ca-703cb0946f1a · outbound

This paper cites MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Reference 17

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source=pdf_text observed=2026-08-15T16:09:59.639299Z digest=sha256:2b12b6bdb7b931c3bb7332c661d3e351b1a62d68533c184335036727f02a1f81

Observation 0e22d4aa-a2ec-4a60-b40b-c55e0199e61d · outbound

This paper cites Evaluation Report on MCP Servers.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Evaluation Report on MCP Servers

Reference 18

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source=pdf_text observed=2026-08-15T16:09:59.643148Z digest=sha256:1daaa03638e89995b46e0c5bd0633cf1c09611e3c3992dd4bb3c9a679a6ce969

Observation 0e4953a0-bd75-46eb-bedd-8f58f5056c7e · outbound

This paper cites ScreenAgent: A Vision Language Model-driven Computer Control Agent.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools ScreenAgent: A Vision Language Model-driven Computer Control Agent

Reference 19

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source=pdf_text observed=2026-08-15T16:09:59.648057Z digest=sha256:9c37574a17b0d6c94659cb2e5b0b0dbba1c870158fbcb4340d9f6eb0b5a5eec6

Observation f1533033-293f-4d9e-b5e3-81f3a4df788f · outbound

This paper cites Hello gpt-4o | openai.https://openai.com/index/hello-gpt-4o/, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Hello gpt-4o | openai.https://openai.com/index/hello-gpt-4o/, 2025

Reference 20

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source=pdf_text observed=2026-08-15T16:09:59.652027Z digest=sha256:3ada9204817a848b5e6454a059bad73a05ea42ae3a2e8f7052a515528040d5d4

Observation 7a2132bd-0960-4387-99d3-732c6b30046a · outbound

This paper cites Openai o3-mini | openai.https://openai.com/index/openai-o3-mini/, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Openai o3-mini | openai.https://openai.com/index/openai-o3-mini/, 2025

Reference 21

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source=pdf_text observed=2026-08-15T16:09:59.655974Z digest=sha256:b9b7d207971fbaa698f70c248fb49fe32ddc5af796999f682d66e96458afceed

Observation 205ea629-1552-464c-be80-0b4bf5ab1ad1 · outbound

This paper cites Llm rankings | openrouter.https://openrouter.ai/rankings?view=month, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Llm rankings | openrouter.https://openrouter.ai/rankings?view=month, 2025

Reference 22

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source=pdf_text observed=2026-08-15T16:09:59.659667Z digest=sha256:d54a83e4d6db9186d9f088c0609bca133ae8d43a581b94e3afb93073c6d50fc5

Observation b23ac9c7-101b-4720-9d94-62a6f025607f · outbound

This paper cites WebCanvas: Benchmarking Web Agents in Online Environments.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools WebCanvas: Benchmarking Web Agents in Online Environments

Reference 23

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source=pdf_text observed=2026-08-15T16:09:59.663790Z digest=sha256:8ff1d463e02df03b011c6282997e199dde7749081ff134ac05ff275474eed96b

Observation cf9b569d-ad23-46f3-ba78-3c0be6bb8eee · outbound

This paper cites Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024

Reference 24

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source=pdf_text observed=2026-08-15T16:09:59.668957Z digest=sha256:722fe44dc9da7a42a04f75fbbabc25de9219560a9ade210598507c3242614369

Observation b6f77a3c-da88-4678-9a86-5ab38b87d8c1 · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023

Reference 25

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source=pdf_text observed=2026-08-15T16:09:59.671862Z digest=sha256:6e7c14c1e5245bceb8573b819ea5e8917c9b3d550e93a2b1cddd4c9ea975d373

Observation 8fb6bc00-b3df-4228-93fc-aed0701492c5 · outbound

This paper cites Language agents: Foundations, prospects, and risks.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Language agents: Foundations, prospects, and risks

Reference 26

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source=pdf_text observed=2026-08-15T16:09:59.674685Z digest=sha256:0b9f1a11c01478d0a1d648ba21907a0ca8117ecee9f3be5bec679c6cd824dd26

Observation 07f89f4e-6fc2-4cdb-a061-2977d0d97121 · outbound

This paper cites Cognitive architectures for language agents.Transactions on Machine Learning Research, 2023.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Cognitive architectures for language agents.Transactions on Machine Learning Research, 2023

Reference 27

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source=pdf_text observed=2026-08-15T16:09:59.678632Z digest=sha256:3ee29134ea0c9124899313837d490a958d5360bc49e9164292222e472876f373

Observation c28884ec-3641-494b-b103-79fdd299ada3 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Kimi K2: Open Agentic Intelligence

Reference 28

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source=pdf_text observed=2026-08-15T16:09:59.682902Z digest=sha256:fc910187d97fdbdde6f12fc97a9eaa18639df46abbcba955c9a81ed3397ac209

Observation 6fc6353a-0c45-4e43-9e29-6a556f706414 · outbound

This paper cites Qwen3 technical report, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Qwen3 technical report, 2025

Reference 29

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source=pdf_text observed=2026-08-15T16:09:59.687387Z digest=sha256:eb0065b25c3a1d952ebfbeda8167d6540a0ffcbcd04a6cde59ad5adb2c1b040a

Observation f96705e4-3d83-40c3-877e-48ac8aba597f · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024

Reference 30

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source=pdf_text observed=2026-08-15T16:09:59.690716Z digest=sha256:dba1bfdd7a272c7a28520bda176bbd74972c6db0df49ba5f7ef8b2a2bfd18d93

Observation 14b090d7-c4c3-426b-8210-f1e21ef8ae1c · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023

Reference 31

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source=pdf_text observed=2026-08-15T16:09:59.694872Z digest=sha256:5fdbc36e303149b3a9e34300963b07487c1cac1098de0117d19dde55616f3b90

Observation 044d3413-1474-4962-abc7-413accfe3377 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094, 2024.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094, 2024

Reference 32

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source=pdf_text observed=2026-08-15T16:09:59.698092Z digest=sha256:127731e4cf8aaa5339993dc68463976d8ec16203bdb1618fee6781e31da70e40

Observation 30ad9d7a-68b4-4ef4-9ef4-1fcb6118cc0d · outbound

This paper cites An illusion of progress? assessing the current state of web agents.arXiv preprint arXiv:2504.01382, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools An illusion of progress? assessing the current state of web agents.arXiv preprint arXiv:2504.01382, 2025

Reference 33

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source=pdf_text observed=2026-08-15T16:09:59.701522Z digest=sha256:b32522a5ae67510c5419ca497a5579ee8e4f901e1bdfb291f9aeac146d37a277

Observation 47498be3-a365-4029-9a3e-7b47fdecd2a5 · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Patil, Ion Stoica, and Joseph E

Reference 34

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raw_fallback, observed 2026-08-15T16:10:00.865496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.705683Z digest=sha256:d24929dabf86bc2e8ab86505c1342aa7b43d1a33792783f9d51b2294796d2ee0

Observation 62bb34c7-8896-46fb-b289-a2fea6208e5c · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 35

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no resolver link, observed 2026-08-15T16:09:59.709630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:09:59.709630Z digest=sha256:b94f09d9dcffd3d730cdf6fc7561cc772ac320cd2892be64dfb9ec19d140078d

Observation f8d13c9c-1275-4834-8797-61d36ac0433e · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T16:09:59.714886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:09:59.714886Z digest=sha256:7984756eaa313c978b563d823f8a7fbacd0642664f3b58f81f258bb8a0561f5e

Observation c0642870-3162-40f6-973f-62484b96e688 · outbound

This paper cites Large Language Model-Brained GUI Agents: A Survey.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Large Language Model-Brained GUI Agents: A Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T16:09:59.718887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:09:59.718887Z digest=sha256:6e77f5046b68731de75ad3fb3f79439ff14de42787f4cb8f4813ce32453ced85

Observation 37da5206-ca5d-4fd5-a2cd-18bf17786bef · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:09:59.722052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:09:59.722052Z digest=sha256:758effbbf5d1468e3e6b36983d9c3c02722f4200b88bcc9f6eb7366b802e6a92

Observation d4982fd5-e71f-4645-9f2b-453ae62a5819 · outbound

This paper cites Complexfuncbench: Exploring multi-step and constrained function calling under long-context scenario, 2025.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Complexfuncbench: Exploring multi-step and constrained function calling under long-context scenario, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.844547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.725222Z digest=sha256:15e10f9d711ca540b354fbf1a0d2de390e96a32b5504de75a8800eece37f7f41

Observation 063cfff0-3a05-4f1d-8618-a3f802bab087 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T16:09:59.729245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:09:59.729245Z digest=sha256:430f05b1f95b184c0dc630bc114ba4b36da7739a5f46da6503ffa085b8d562db

Observation 5d63803d-fe75-4be9-b0bc-702cebfdbc14 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.834958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.732808Z digest=sha256:d7c33cb57404740192b331af97bd95df88f06efaac085d50c7db05beda376353

Observation 50ead5b2-c716-43c4-8504-8bd1f0e6f188 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.815240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.739668Z digest=sha256:7582b04b1f83c144082550b347f44073d6936280cbe412e8f7bccdc3e2e1c402

Observation f5c7a093-9bbb-4acf-8f77-4f14248ce584 · outbound

This paper cites this weekend.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools this weekend

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.804961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.743339Z digest=sha256:c54fe2a48081cedf9775d851d65347c3dc081a11011e2e8b56164dcdf96012a6

Observation 0872d06d-f242-441f-8d5a-7492a3e83ad5 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.795014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.746948Z digest=sha256:f66aa21c5696f59a6215988ff49d8f0f895bd72f413ed942ac628f9cb3143a3c

Observation 5f60a7dc-3ab1-485f-9421-1160cac72b58 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.785292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.750875Z digest=sha256:e27e7485c827b72909974a494ed0c3fb55da4bb6ad4bbadf4065b4a11244485a

Observation 417c3555-9d27-4221-a08c-a629b8caff02 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.775369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.755547Z digest=sha256:f2cc40d07903a4b725739a035073e9f2a9211ba43a119340fffb55f24f900dc5

Observation d1b3d1ca-c724-4e2c-8680-6c976401d345 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.765669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.759952Z digest=sha256:e33487521b82fc37d0329477b34f2363250516d06d5a79c38fe381511a0a63fb

Observation 55b850f5-ea9a-430d-aa06-ca4b086e4429 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.755150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.764247Z digest=sha256:ea54b2c06fc4c6ef88e46b4d91dd9d05313ae544573a9a9d0fc805844be5c5cc

Observation 58542e5c-d3b3-4f89-98b9-788b22e529fe · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.744955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.768616Z digest=sha256:8fc98e4758bfdc2c8ef8f42f0519091dadc10f70da1cad948c92eac5ce636d27

Observation 4240e96b-e641-428f-b72a-0cb0fe4d9d21 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.734739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.771695Z digest=sha256:016c7e297767bb39915f95b54f76cdae5f5e33d0a83e1e7500b6024237f6fb47

Observation 89bf7a33-d3d8-40a8-b2bb-40449aab706a · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.725461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.775130Z digest=sha256:95b7b51a679a88ebdf7df1ff67b33a36a907b49a24329a3c80aab43ff354adb6

Observation b77ee098-db42-4074-a3f0-327b8376719e · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.710547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.779420Z digest=sha256:5b59331902b0213b3575098040749fb86b689450c2daa95407e9aec0018e2589

Observation ece40590-03c0-47a4-b3fa-432c743b8615 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.700614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.783120Z digest=sha256:99c86ddc81e9d0312ebd03ab565244789f27b5094984a163792f82f28ab5d06b

Observation a6c449b7-9933-47c4-a29b-d0b96ba0c29b · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.690565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.787685Z digest=sha256:69e766d991d2792c31e11a8aebbe0b4158bb34a01e59a6a85c270fb62e48b6e1

Observation 5c7c3dc5-a122-4fb3-af84-35aec7076c99 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.678315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.792288Z digest=sha256:977668802f20077b75132cc2fc125af3b151e1266ee5dbb319cef65956ce6b6b

Observation 7e5d1bab-289c-4e38-b10b-0e3077876a7e · outbound

This paper cites Contextual Component Generation System Prompt You are a Realistic MCP Server Tool Scenario Designer.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Contextual Component Generation System Prompt You are a Realistic MCP Server Tool Scenario Designer

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.668751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.796437Z digest=sha256:c03952e55f8d42e5d44ad0f6bb60a81c8ce24acbe9d110408d19b5ff71438dc8

Observation c697fc60-be5d-42fd-a47d-018c3d214872 · outbound

This paper cites Explain why these tools are necessary and sufficient.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Explain why these tools are necessary and sufficient

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.658691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.799863Z digest=sha256:8e97e86f344e1055cb86fcfc8a72e562ded17f98057999994ab4c45e005a56b7

Observation abd66cc0-994c-4349-b839-d97ee7fe5178 · outbound

This paper cites </user_profile>.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools </user_profile>

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.648996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.803218Z digest=sha256:7f0cb0253bc067aa5de1bcfe3326004efc00a7433abc854d6c17317c9180bb5b

Observation ed6153d1-d3f3-4303-b612-f4f45a947cca · outbound

This paper cites </scenario>.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools </scenario>

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.639882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.806551Z digest=sha256:73bee7067ce100524b0a2404f7b73f121240d203f0801e85edbc5a3aa832069e

Observation 985203c1-be12-4404-bb49-fe827d4242b4 · outbound

This paper cites </objective> Parameter Sourcing Requirements All tool parameters must come from:.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools </objective> Parameter Sourcing Requirements All tool parameters must come from:

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.629853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.809854Z digest=sha256:1b4095c16a748c5e8ab71ee7d467627abdf5b24f65a555319b50151dcf8e14c6

Observation da2982c8-d296-49f4-83c4-816f00e39d0b · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.619600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.814043Z digest=sha256:a00c2a9adf92da971f788addbfad369e32f9996044bd5b9110cefcd76f8479fc

Observation b707530b-fdb7-4c48-aea1-bbde2172ee01 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.826281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.818146Z digest=sha256:6624183099e7f1a547499d6f02d299d99c2db04cf989d4d1f6f6eb53f1d213ec

Observation 6516e0c3-8ae9-4065-b601-88e630b6ceaa · outbound

This paper cites All necessary information must be available in the initial request or derived from tool usage.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools All necessary information must be available in the initial request or derived from tool usage

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.608870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.821334Z digest=sha256:07cc5af8d087f2ce50a8d3ea95d57ca7e6d24feca59ca171d751afd0201a072d

Observation 2557775e-36cc-4a04-97d8-784974b4c29b · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.597445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.824797Z digest=sha256:9c945e9daf1ca20768a707bf04df10375300effce27a24035b838482650ac608

Observation 1bb2157d-dfaf-464c-90c0-50b8e6f87b0d · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.586246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.828077Z digest=sha256:2752ffa2c36cbfc5ffb18cf55b441a3e37aeb727311539fa0582afda65e34c0d

Observation 657a37d3-6f32-4958-8e1a-3ee772e0cf2f · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.577060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.830910Z digest=sha256:8499224ea0ff34c501b07ae3f7f257cb76f4d20599d74274ad061aba11f59344

Observation 83c73c7c-e788-4558-a8d5-ef4a9ad8a69f · outbound

This paper cites 18 ReAcT Assistant Prompt You are an advanced AI assistant with access to Model Context Protocol (MCP) servers.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools 18 ReAcT Assistant Prompt You are an advanced AI assistant with access to Model Context Protocol (MCP) servers

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.566663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.834090Z digest=sha256:4ac09dd2ef927f0036b1a8c2718b43f08df6bb0040928fa6e10c6707bda6b9e2

Observation 229d5c6e-0714-427d-949d-7cb44f0453a1 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.532847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.844340Z digest=sha256:d6628141cc85e747d62af3a727aa85b5f8bb62e8e3148c4448f8d03cf84009fd

Observation 1d356728-faec-46e2-8d6a-2ee761e6afa7 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.457398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.870421Z digest=sha256:9bf95b8a9e4f9f3dbd8b99f3c51aee93df047b8eaac23bca729a4f6044cbe548

Observation 5cd8c327-a81c-4e8d-b2be-4d1b440e7ff7 · outbound

This paper cites Use tools strategically but don’t overcomplicate simple requests that can be answered directly.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Use tools strategically but don’t overcomplicate simple requests that can be answered directly

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.435982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.876280Z digest=sha256:8222ef386f22c159f0e69f5aa066b35b0642cddc1fabae395ba411ad627e640b

Observation 4043924b-b56e-4208-b72c-077fad4a032e · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.425198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.878985Z digest=sha256:10dd139989c4013a4ae3decd64c3d3a1d1d48f4757d606a944e1577b929a2ebd

Observation e1829e18-510d-4851-bdaa-c7c0d8b168f0 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.414636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.881951Z digest=sha256:560d99c6cadfe7091ece0b8efbbc8c230c188fd7b520fda85ae5ee7e48355052

Observation a83a8bf4-61af-4858-b53f-3c8fee1578d6 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.404351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.884910Z digest=sha256:d03dd6236110da14a7b7566bd81c9d27301a786f5bd987e615d915ba67df6ee5

Observation a1663766-b26c-43c2-bbc6-329752d2741d · outbound

This paper cites calculate.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools calculate

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.395335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.888074Z digest=sha256:2a08dc4f5e835bcdf9f9ea5335df51f90fa7467306b3ae01a9e84064510416ec

Observation a89b75c7-6712-4809-867a-fe0623828ba6 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.385190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.891084Z digest=sha256:28924af4080185b8d077275d5944f7f17ba353451701ee5320c6b1b8d2c80f6c

Observation 70dc9e5c-e84f-4938-8385-896eb8c5b574 · outbound

This paper cites name": "selected_tool_name.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools name": "selected_tool_name

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.375172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.894774Z digest=sha256:ee45ce581a4c16a2054119da959693421bf504666e31b0bf5e566939934df4ef

Observation 6b993c42-c56e-4c77-a97a-ccdac8625a57 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.554806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.898845Z digest=sha256:000f61de15d1c780ddf133d22f94271a942c5c89c508288034b5019aa55c5038

Observation 97ab0760-1241-4af9-9c9f-26a9a314982d · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.544081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.901865Z digest=sha256:c2eef577fce587ff2f1dec25dfd79586f092e985776ffed0a1a08e30fa684599

Observation e0fb5e69-d851-460a-aa9a-b6ecb96aa77f · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.365791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.905292Z digest=sha256:841e699d2f3053e71e414aa1e8771f994b596c53780f75f5f4aeb1848aac21ee

Observation c30e4b07-e76a-45ff-9b89-249153480e2a · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.522858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.908836Z digest=sha256:d939f967ced95bf8da584a2151f438c69a8329d683b31bdbcb4253bbc701f5b3

Observation cf0e8efc-d0b2-4d7f-a7a2-c0daed721ae5 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.510747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.911505Z digest=sha256:7d8a470c874eb800cb4b3e996a076c0b671d51f56c2fae8f1b28950fd15192d6

Observation 10e81301-20ef-4921-8e66-420614433afc · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.499240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.914609Z digest=sha256:100fbed0af0fc6a217be16a1067159a83d76c5c7789fb6abea632cb6ab9f3dd4

Observation ebd9e01b-b608-48c8-8200-8ca908dad167 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.490476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.917497Z digest=sha256:212011ab403c3ef1def9d91ecfacda2170c631b21ac7934c9f5ad25171e02ba2

Observation da615eed-1126-4ee7-bc81-ed4c88104657 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.480993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.920809Z digest=sha256:e380610e292a0d36c49021d8142c3f70c0206420b0c3d116827beedbd0cf350d

Observation 7acaa1f0-89ab-458c-be71-7ed9df5c4008 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.470719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.923510Z digest=sha256:0b44285ae6d9ddc4d1625802c05f18374e0022ded9591e2004b6346bd321824c

Observation 6c08c922-68d2-4611-8db4-4fa37716a2b6 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.355565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.926469Z digest=sha256:dca6aa2364c375bf76eaad598e081bb1de5f59365c20a47894ef80cfe425f891

Observation 83bc4bf8-18b4-42ea-ba74-8b8cfc6e65fb · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.447203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.929765Z digest=sha256:5bcf7bf7264b853624ec94d0936da955a5454e0fed6291a2b06122563aacb0f4

Observation 22ba905f-b340-4c0d-9088-a5b4825eb36b · outbound

This paper cites Use tools strategically but don’t overcomplicate simple requests that can be answered directly.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Use tools strategically but don’t overcomplicate simple requests that can be answered directly

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.344957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.933367Z digest=sha256:0272b8b34d1101e0e8e01ffedbcbafecb223d3261bb76a9ccf628370ad7cb27f

Observation 2b55d9f9-b424-4265-a1ab-a285d7e48451 · outbound

This paper cites typically,.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools typically,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.333928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.937178Z digest=sha256:970bdc578f6a2456908b62e89a7fd1eea79d23a81b2323f653ff20e673779f83

Observation 29e93816-391c-42a4-8d64-4db7d28a3d90 · outbound

This paper cites proof" or.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools proof" or

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.323241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.940243Z digest=sha256:242404df8b4d1d6a4abfbc5eb3f0f3f6b6c787e8421cdde5473058afbd4ab11a

Observation fea0b363-9c63-4e45-877e-6b34cb413f67 · outbound

This paper cites Verification details.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Verification details

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.311853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.943340Z digest=sha256:af3bd80f2865be91427a7522c3788e42c4012c5426e3c294e257cc1f4df3d839

Observation 5d597700-554b-4119-abdf-bab294d4c826 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 102

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.300334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.947012Z digest=sha256:ec634cca1224167cca0c5d7948069728f7b85c6e15b8b1991c5917ca958f9b32

Observation 87ac6600-c55e-4873-ae41-d263e5e79900 · outbound

This paper cites an unresolved cited work.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:10:00.289757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.950392Z digest=sha256:9d12de56c7c01e43d620708813850b5cf802325900cac7b9ad34f0d19a5bab11

Observation 096281c7-054f-47e6-94ae-0470684d2cd1 · outbound

This paper cites Lacks verification details about data source.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Lacks verification details about data source

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.278836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.954473Z digest=sha256:cfd4a9599005c55b358b6821a56d4703eb2c1df7c12824bd5a5c93b4fef3f005

Observation 77a03be7-8536-4173-93a7-86b25ce8b96e · outbound

This paper cites • Process explanations • Formatting differences 5.Decide: • External data + Core need met = PASS • Knowledge only = FAIL.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools • Process explanations • Formatting differences 5.Decide: • External data + Core need met = PASS • Knowledge only = FAIL

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.269044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.957941Z digest=sha256:f09cf7dbe9231ea40bb07abf6909a67ef0e0b96753ca5f20c03ec4ef4cc28e86

Observation 2e1e93ba-941f-4c01-b977-d593ba76da6e · outbound

This paper cites Is there specific external data that helps the user?.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools Is there specific external data that helps the user?

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.256273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.961419Z digest=sha256:950d2643f09e8210810cb5f287619d829147ffe5a5ad400a12659e2711a99d5f

Observation 6f305a3b-9d9f-43e6-a629-a1a386f1f675 · outbound

This paper cites nice-to-have.

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools nice-to-have

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:10:00.243841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T16:09:59.965344Z digest=sha256:a3cee64a83c71f667ee3e5c825128eecb1be74b2a2de3f936b8f20f1d0ebf1d9

Pith citing papers

Observation 46516960-3898-4c92-b35a-c2d1002de80c · inbound

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible cites this paper.

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:00:40.667290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T05:59:32.583411Z digest=sha256:f2f4e824cbdb5e8f06833368cee249bb3adb99ed7f96a357d6d834c9bfaf5e4f

Observation 56e8193a-3f1c-40d5-9304-72274f6d06f6 · inbound

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy cites this paper.

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-04T05:55:44.614190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:55:44.614190Z digest=sha256:67333708fa7d3563f7bf340450b08a1c5b6e540706025f7a1466a11663428c26

Observation 76a02012-7f93-47c7-853e-a62f37ecebef · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Reference 18

Resolution
verified exact
orphan_title_repair, observed 2026-05-13T17:16:34.273960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:95156cb3aa545fe234e85efc374be12c933e6aab08c2d7723504ce34cc69a33c

Observation 8143449b-8b9b-4f30-a53f-ec024858b5a8 · inbound

MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security cites this paper.

MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:10:46.718657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:10:50.283791Z digest=sha256:05a7e59c728c02ed83efb8699457fdcce92ba602243d67918d3e22268a4af306

Observation f53f3936-eac1-4b42-9000-d6c08880459e · inbound

Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM System cites this paper.

Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM System MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:48:33.931507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T02:44:01.980796Z digest=sha256:7ccc1e2ea5cf0a2a28f7d7dfc06a91b70420b8e9bd3170592134f3048551886f