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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:cec926c079acd2a6cc14c6ff0228c44d0f4cc2453903021e634ba5df337ac31b

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=sha256:27f790ec238349aa51b388600ef9a81f456636d71af494cca54a6022a91ab85d

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=sha256:06cb26b3c16b2c817ad7a47af074b4a64b7fb27d43a4cb5dcacee711fbb7b049

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:f90b714e325bb7a4300713a3b5b5dadeb9ec71d0fc5070d61dd778d87ea6d91b

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:fae8b5609c72531a816bb02371c41b03490afa5ed54529485de0f54a6ed1ca4a

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:e30a0d9b41d098428f66d848df5fd636caaa0987d5f93d73cbf1bbfffd433cff

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=sha256:0e0b4cb4670200cbae3e2b6b667ec56b800322c301b51d01a9dcce61e577796f

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=sha256:9cfb1b85ed8f5f2cfdef7056212dcfc97f506c7334e8ee751915111b4fb0d2f4

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=sha256:3beae6f108836d063edb2eb2cbb00878c7c9377389585532a81c607f4cddb4ce

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=sha256:923bd9086f237606d3f19cf66ee369d4a57b2fce3e8d283fa6aaa6f5c2d7388b

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=sha256:57e6ce891c4f8369896d89af21f704f4eec766c47df7feae3cd12389ced76550

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=sha256:5a603226ea858d396eddc0e0e91316b340cd92cc97567071b3726d5a9eac891b

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=sha256:5d1382aee78782c167bfe3a96e8e4b94fb464ce74cda5941781dc29598a08db5

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:cc53d619a09ff1e578012b896b08c4f269091782fc089a847f7007e7ff90d888

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=sha256:8c6d0041fd732975b05dafc1cd6a86ba715d407fb442644aec34185f76f6f705

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:e0e1c6988a92dc9990acab5a887b57ea9ab7781701ed12e3b86bff03fb7f3fb4

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:e2812420998ff4d7d1387ca64e0682a35829bac3affc56745141520ac9c3209d

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:b1bb6419c5b4c48ef34cfca40a4f6a22fcd9c9a2b7211059cd5be40e344f1903

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=sha256:2aa93dbd37e153440521a0b58fae52f921b810a072380dd1462473f2f6a4023a

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=sha256:48feb8d4206edb6a2a55246765f1107f08f99cafe96e514f9b1e6e5829336373

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=sha256:7bbbacbab094c97ba825e41a651de931e312bb1f1f77dffbaf7f98ace8613c72

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=sha256:1872d2122fcf028a7a9b661a73f29784c20090c3bad061c3060e3186233b9e53

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:a3ad4d9496fa336e0c2e4b0c67f09935f5ee3c599494cd3f9926be44e1aeb3ba

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=sha256:2a048117986daf2ca3955a7fa6049f98bcf3704dd442ed5e62a7fe7800a79fca

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=sha256:21c60679b3cc8e042e32e2f361fce52333655bc93bcf26106db8dc86d9e5e5ba

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:d1a03131ab48ab3f22df519e4d0e8811ee4158fa0b7a3cb1b918c1c429a5d3d2

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=sha256:08010c8448c8f99870eccd9d6c73c4bb940ce5f3be5e537cfe142f4be3e1cfa9

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=sha256:48c7b59a65589f704284f4e5d27c0d60ad8af7c4d25c4162659f92c30692b5e8

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=sha256:5a8a1113c60bf61ac41148339152d14c5a71c1ca03c22de41859c18f4d7594d0

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=sha256:499211cecdfe3e90849d47962a2db8b7cbbfcc89d147388185e66acfe61c80e4

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=sha256:5b96d16b12b3f94f5fc8c486e7099d6c38b51806d9b41aeb7de0265c757ef859

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:ea2f3aa29cb66da80dcf75495358d7ae8a2aca70208cfe41ba19ba6123a76fde

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=sha256:9eebc5c383a5c28090c4267ec6a0136fc1f55075d6d40e099d1af20588c86edb

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=sha256:02c546a64d954f51bba1827032fce9dd433de412b71bd60be6891db77142c927

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=sha256:89e1b56608069632d46ed347c2e20e5ff0c4b51763acc6f2539c652f82229122

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=sha256:46c76e63c5588db7548b8314f38761d408be4c4aff606c73f5eed5f51983cd29

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=sha256:2bdaec544dd6c7bb5064c68da2b82a34cfe10b8f1598279275ee0275ec9c8376

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=sha256:4fcee31cb66286bac52f7a0623a46bde9cdcdd5b507110ab9ae5ff5c0b006f3b

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=sha256:64410ba5818b58d9045a1add008ae2799adc00bcef11b55791df5c1915f03105

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=sha256:2368311948296c30705f5f2901d7ca31bbcfa390bbd4b0afe65a4fa7e0a496b4

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=sha256:1d71d55a40fe5e6864fb7faf7488b450281bee9a94c895af9dfe0e5b25a9f9e4

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:cbe11f42b43b131c7e9a981fe6357e440043c7dc74629312837d2d5c99576bdb

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=sha256:36d34aadc122e224bb45cfc26501f3d58f7812c3e09f50a1b8a1d56a1b5a970f

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=sha256:3742e96efcfdd2c3c8ca6749429572debbd26140dfd5720d4c061cd87235d1d3

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=sha256:94b6b75abb6efb77628993842414b905ba4ff10c7bc11075940845f7feda657e

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=sha256:353d1432e9dcd4529ad804d9dab86f826ef3caa9f1d9e2fb482729df189fa35b

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=sha256:8284db3002160dd60aa8b857bbf8111adcfabb89b47c0c5eab2fe1c8e6a56ce4

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:accdb54e02e451502941dd7e707a8628c29c7d77ff2abf7fabf84db40863ece3

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:c6073b15062e60574649a6d5ffa232b62504ced6b9f2299946dcdc394fe4c1a8

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=sha256:43b23b77844bbbc0e690c7667ab38d742ffbfeb597cf9d7052b4c52c1240636c

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:fdb1c7d7c52cfbce333bf8c45f910206c431b75d76469a55657007639d559934

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=sha256:7d5246d3de64fc8c5232e8f603bc30731b704b3aa581fbdb3499dc274d7bac17

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=sha256:7636168cdc9d8502f275497b02515b17f4b09ea086c5510e6a1e4ae762a133fb

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=sha256:0cde0621b9a5524fe98bd60af3c9b7847df6572eb24dd331332ccf08b4f614b7

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=sha256:0be085d33d5371ad69b5890d80159d2232e396aa4f69504cdc4b1af4094692da

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=sha256:945f17794ccb5dde055edf95eb8bdb07be77a17a845d2e36f85fd9762e51abc6

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=sha256:2ddfbfb9180482eb2223e771430bf993e282271d92c1426de35db40de4a1ad5e

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=sha256:5a1bbe8c743edbcb9307e11c743b10b50409360b8e7e49e7fcde773f1a7f94b8

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=sha256:5e5a87ca1a95999821fdc5a0039fc9129cb3fb6de4e311b26cbe169588b09401

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=sha256:11dff8546e31d93407cdbc04019d68182ecaf366903c340e52675fc27de58d0a

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=sha256:436ba6ce6e84fbdb16ca6f4de1528a1cac86670fd9c73f971e8fc13e3b0c8e0d

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:d625fe7a1a5d61c23db359f41cbafea607c1bd53626719fb88407f867c0dbe3b

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=sha256:4657ee4314f654782ac84a8a98b2423c2ec85c87efad3111b9c15023c7127c3d

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:ec17cc753d51e649416a109f6f41a611a30e04d9ebd0258d9ade79bb786291ea

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=sha256:6d544327ee152eaf5ca934b63f66cc64b8bb2a0b7b7eec65cfa2e32b2a600c47

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:a9e3ec278a4465dac4fa85cfe9d84d5abc2da5fa5a9654c1116441c0fcbfbd9d

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=sha256:9cccd48114de95c61c7c5f1466b2c3892c0aa4d92f18ec061724e7a0317e72bc

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:bcc6820b466361927833c2f67dc61814698b211e4726a4c35b055a75cbf323cd

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:faa413163045d832fa8ab734fb365cf1d873b48008b6caf8c988f64851ed5f44

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=sha256:6a00082104174b5666df6f613b5d37c2060e42c25daebbbb9f28207668c75fe7

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=sha256:788c5bdf9cbf321a222603040ea9aa57cd6bb9e0c5a793c02391b04fe88cf145

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:d07fe8a3bcd149c16542736be39e0ed799072b6e80227de8a113c60ce29d1a36

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=sha256:8ebd1bd7d12902dcbd450b7f20e0ed5b0e03dbc4a5b121983330642086c258e2

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=sha256:6a5c138483a01a8c5d874c5259ef91d1efac3e785d511823acaccf6fb2b97c05

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=sha256:5b206db3c3b5822fcca55c129982a99744d06ba76dcfd1149fdac23b5c040946

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:a4f49d0c0a170fd4eb67579d501a4d7feed2b42f4e31d320937c6f392f8e1296

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:ccee82d05658fedc94ae6e55f3dd8955b24b779d896af277e0630fe0805baf56

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=sha256:65c38c84b6449f93e47e396c146777555757975e45461dc72bb7756e59346421

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:ce35622cac17329ac134b88ea8edd6002d9e2bea4abaa87f991097f8f8565776

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=sha256:41604c243914f6f97f844a3330c0fcace95043ace3773b3311e16b8bd70976a9

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=sha256:78830ce128f939d5af59b0e51bf4c05749edd07f2e6fbcdba0b08c3f3dc38c00

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:e1fe0d09a6ea65b1edd9cbfda69321d4534fcd219c6e3610d39872c3f0c4900f

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:c1b7993d2ec979609dbf9acb3b94c2d7afb073c37350a00d0200dc2823792e0c

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=sha256:3070ae62a30dbe5f6c4f41a03c7263411fb726d199d5cd305b00647c3703fa3d

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=sha256:74d36e0705d610e29ae517de5b12dafd26e80a007cf5f7ad3a9a5343f5d89639

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:ed45b2a347300bb82a21522aca382c14d503aea7e8a9b22799146d2b0997af3e

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=sha256:8fbcd1c74b101ae35b07bda0e35d41d25040e61d4076f29ddc0c896178dc6b6d

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=sha256:24f391540626c16ffeed5edf49c269db9628c4e759c62a16632894d9734964ab

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:f58074da8bbbecef6cb2d465b68297a988fe1cf94725bbdda72eb542fe2fef82

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:d2bebd3f06d2b9fac583eeb2ce78622b7bc91603711843fdc2f4dc07e83143b9

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:c8db76d2b823f9aeffa3b4d101b76ab9ac74d32207c9d310bff8b0172b60c018

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=sha256:4ee7750eb13ef2cc87b2172f1339ffe4850cd605aaea736e882f4772df102b34

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=sha256:31ce6557f137ef632404918db15fa0c8aff3e2ae5f31fd6810e6eb8396653adf

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=sha256:24e3e5d3d6563ac9e32a8ac4d2c1dda3ce347853d86c857abcc880604f9eb7cd

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=sha256:2d5dd36b531d79fe9a4560cabc105e9f216488a10143a34e114a186446e960ab

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:d9bfe5b9457efaa0852c879d9f5dabcbcbf2c9af45345ac3f15c8f5d85ff4705

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=sha256:1dcc988c137114f196d5296481eca2f49a442049223b0645db734e24b3350b55

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=sha256:791b8cea69637c342e900581f4c535b7e659cd91dcff5159a793375a941c2ab1

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:b2eddc8ef09e29f44d8783f99cb7f6f164b969d0a5dd34e75681544275b87b1e

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:b347f5e429f1b277f70588cca78956c9858e09ba8b92f62d1b4ea46577c90fa5

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=sha256:2bb873949fce95cf28f4f91af23056402beb5aae53781151fa11605be5024985

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:ac68a9de3844155435ff331bf4a9c944d050ff8a0d3e311dc3c7e73e0e3a6fb6