Paper Citation Record · LEDGER

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios

As of 6 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2607.14989.

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

pith.paper-citation-record.v1
2607.14989 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:36:15.896432Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:38:16.681296Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f92f1d4b-46d7-4c3f-81e9-094a084376a9 · outbound

This paper cites Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.686510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee70646b-4454-4e07-8009-a1e1c2d75d7b · outbound

This paper cites MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.692389Z

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Unavailable: canonical work link unavailable.

Observation 98ecf2b2-2b0c-4c1a-8cae-d008ec31a237 · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.697891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d89396-9c19-42f5-9f52-506cad14fab0 · outbound

This paper cites Workarena++: Towards compositional planning and reasoning-based common knowledge work tasks.Advances in Neural Information Processing Systems, 37:5996–6051, 2024.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Workarena++: Towards compositional planning and reasoning-based common knowledge work tasks.Advances in Neural Information Processing Systems, 37:5996–6051, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.703133Z

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Observation 92e1de46-1928-4ce4-ba49-12da0a77ca13 · outbound

This paper cites Acebench: Who wins the match point in tool usage?arXiv preprint arXiv:2501.12851, 2025.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Acebench: Who wins the match point in tool usage?arXiv preprint arXiv:2501.12851, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.708055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2222a21-b736-4cfe-8275-ce8d485c1f75 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.712554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ac0475-4325-4b21-8e75-df4f7b354e95 · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence, 2026.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Deepseek-v4: Towards highly efficient million-token context intelligence, 2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.717827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80d6b94-f83a-4286-9116-df602d194120 · outbound

This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.722166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfadd12e-87fa-42be-8641-d1fbb1574dde · outbound

This paper cites Gaia2: Benchmarking llm agents on dynamic and asynchronous environments.arXiv preprint arXiv:2602.11964, 2026.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Gaia2: Benchmarking llm agents on dynamic and asynchronous environments.arXiv preprint arXiv:2602.11964, 2026

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.726706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c345dfa9-7688-4b25-b7ca-c55a6fe11a38 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios GLM-5: from Vibe Coding to Agentic Engineering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.731165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ad8539-97f9-47ff-874d-8edd8998011c · outbound

This paper cites Vitabench: Benchmarking llm agents with versatile interactive tasks in real-world applications.arXiv preprint arXiv:2509.26490, 2025.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Vitabench: Benchmarking llm agents with versatile interactive tasks in real-world applications.arXiv preprint arXiv:2509.26490, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.736318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d532e613-26c8-4670-99cf-ee37c8d0485f · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In International Conference on Learning Representations, volume 2024, pages 54107–54157, 2024.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Swe-bench: Can language models resolve real-world github issues? In International Conference on Learning Representations, volume 2024, pages 54107–54157, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.740857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de01f234-0ee2-40bb-a02f-ae99aa420a8e · outbound

This paper cites The tool decathlon: Bench- marking language agents for diverse, realistic, and long-horizon task execution.arXiv preprint arXiv:2510.25726, 2025.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios The tool decathlon: Bench- marking language agents for diverse, realistic, and long-horizon task execution.arXiv preprint arXiv:2510.25726, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.745842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae5b7737-562e-4b11-abc5-8bf9457f9a66 · outbound

This paper cites Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai, 2025.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.750217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcec0a53-67d5-4c3d-bcb9-1ae873084715 · outbound

This paper cites Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.754402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d0ddb8-f4d3-4ac4-920f-1a718e7be0cb · outbound

This paper cites ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.758892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e6884d-83e8-4a3e-aa7c-f3d8bac50212 · outbound

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

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.763968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c13722e1-b478-40ba-a0d6-96a425633d9a · outbound

This paper cites The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.768484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146c6ecc-0f79-4997-83da-47bd6ce570af · outbound

This paper cites GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.772715Z

Source-reported events for the cited work

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Observation d90dc87d-f0b7-4e55-b017-cfc8530cc58c · outbound

This paper cites QwenClawBench: Real-user-distribution benchmark for openclaw agents, April.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios QwenClawBench: Real-user-distribution benchmark for openclaw agents, April

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.777037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d291883-7561-47ed-b00e-4e53a70b11b8 · outbound

This paper cites One-eval: An agentic system for automated and traceable llm evaluation.arXiv preprint arXiv:2603.09821, 2026.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios One-eval: An agentic system for automated and traceable llm evaluation.arXiv preprint arXiv:2603.09821, 2026

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.785663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a43c760-0979-454d-9dcb-148f7ee0153a · outbound

This paper cites URLhttps://arxiv.org/abs/2603.04370.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios URLhttps://arxiv.org/abs/2603.04370

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.789506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e55cf75c-035a-4b25-a140-5a352ebe7b0d · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Kimi K2.5: Visual Agentic Intelligence

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.794297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb12d6ba-b891-44d2-be04-6d568462a14a · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.Advances in Neural Information Processing Systems, 37:95266–95290, 2024.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.Advances in Neural Information Processing Systems, 37:95266–95290, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.799456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af412506-04f8-471c-97d8-06db166c7e8e · outbound

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

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.804245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380c0c35-124a-4edf-9d35-aae77bbfd9a5 · outbound

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

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.809267Z

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Unavailable: canonical work link unavailable.

Observation f7303418-7fa0-46ef-9090-43c43d571a79 · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.814013Z

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Unavailable: canonical work link unavailable.

Observation 6fe38867-3a50-4928-8cc1-323641177e9f · outbound

This paper cites Deepplanning: Bench- marking long-horizon agentic planning with verifiable constraints.arXiv preprint arXiv:2601.18137, 2026.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Deepplanning: Bench- marking long-horizon agentic planning with verifiable constraints.arXiv preprint arXiv:2601.18137, 2026

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.818900Z

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Unavailable: canonical work link unavailable.

Observation 532400e7-adb4-410f-acfd-6b22622c9a7c · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.824559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7099790e-86de-4bb8-89bc-b4636ce2f1e0 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.828684Z

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Unavailable: canonical work link unavailable.

Observation 72246456-5f0d-4556-9518-d2adf7b427e4 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.833186Z

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Unavailable: canonical work link unavailable.

Observation 67998d9a-8708-4d4e-b59d-12469d9c2195 · outbound

This paper cites This protocol evaluates not only task execution, but also clarification, constraint tracking, adaptation to user feedback, and state maintenance across multiple turns.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios This protocol evaluates not only task execution, but also clarification, constraint tracking, adaptation to user feedback, and state maintenance across multiple turns

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.837265Z

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Observation 714e253d-0a79-4272-8875-05d696ed5080 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.842384Z

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Observation 77acbd66-6a2b-476f-bf2d-f0b21dcb3264 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.846871Z

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Observation ef31ed00-4acd-458d-83e4-0b45f1df8868 · outbound

This paper cites 4.VerifyCodechecks the trajectory and final observation and returns a binary pass/fail result.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios 4.VerifyCodechecks the trajectory and final observation and returns a binary pass/fail result

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.852162Z

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Observation e7af32ea-81ca-4c1b-bc37-92a81124aa3d · outbound

This paper cites [...additional description omitted ...].

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios [...additional description omitted ...]

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.856453Z

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Observation fcd424a9-9c6d-47a2-8ee4-9f4dde5f68d8 · outbound

This paper cites [...additional tools omitted ...].

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios [...additional tools omitted ...]

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.860557Z

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Observation 10c3a754-e51a-4626-9ef3-498b001c9a3b · outbound

This paper cites Your goal is to complete the user’s request in an interactive environment by gradually calling the available tools step by step, and to proactively communicate with the user.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Your goal is to complete the user’s request in an interactive environment by gradually calling the available tools step by step, and to proactively communicate with the user

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.865246Z

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Observation 85bd7733-9245-40e0-89a5-575d6b867983 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.869397Z

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Unavailable: canonical work link unavailable.

Observation e457aacb-d23d-48fc-92db-2e1a7301f1e2 · outbound

This paper cites <Judge reason> The trajectory correctly resolvesLF-2024-PI-024, confirms Yunhe Foods / Lin Qiaoxue / He Shan, verifiesVER-004 as current, and flags the self-referentialLNK-003link.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios <Judge reason> The trajectory correctly resolvesLF-2024-PI-024, confirms Yunhe Foods / Lin Qiaoxue / He Shan, verifiesVER-004 as current, and flags the self-referentialLNK-003link

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.874308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b900804-95e7-4063-82de-3f3bce04cd52 · outbound

This paper cites store surveillance screenshots and incident timeline explanation.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios store surveillance screenshots and incident timeline explanation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.878606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008c583d-9452-4fa5-936d-392a1db75110 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.883109Z

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Observation 8db42b9d-0575-4d7e-9996-7269cca3ffab · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.887535Z

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Observation bd688285-357f-4f79-a60f-60a168ba8c39 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.892243Z

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Observation ecf144a3-b8d9-41c8-9c6e-b03b254a77ae · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.896432Z

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Observation 2861883a-b8c8-47d8-b643-7ac88668d0c4 · outbound

This paper cites an unresolved cited work.

OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T00:36:15.781239Z

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Pith citing papers

Observation 2bc7ea6a-b277-4acd-9cb3-21332b85d0d0 · inbound

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications cites this paper.

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:38:16.681296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.