Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T03:37:07.841385Z
Paper Citation Record · LEDGER
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 100 inbound Pith citation observations for arXiv:2601.11868.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:17:13.420563Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
20 of 20 outbound references displayed
- verified exact1
- verified fuzzy5
- unresolved8
- parse uncertain0
- malformed identifier2
- metadata mismatch4
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation ba6d4cc9-f1fd-4bd6-8dcc-cb5f6381aad1 · outbound
This paper cites TextArena.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces TextArena
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.016661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd9c0420-6168-4263-b307-9dde5ac8dbb6 · outbound
This paper cites VisualWebArena: Evaluating multimodal agents on realistic visual web tasks.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces VisualWebArena: Evaluating multimodal agents on realistic visual web tasks
Reference 2
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T03:37:07.976590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b485e30e-fadf-47a8-bb07-efe7236bdf3b · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces gpt-oss-120b & gpt-oss-20b Model Card
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T03:37:08.005699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33ee05cc-1213-40ed-b33c-c6a79eff3c2c · outbound
This paper cites K., Krupke, D., Kidger, P., Sajed, T., Stellato, B., Park, J., et al.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces K., Krupke, D., Kidger, P., Sajed, T., Stellato, B., Park, J., et al
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:07.967629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66ecafb5-6e96-4e31-a056-9461b2744708 · outbound
This paper cites Establishing Best Practices for Building Rigorous Agentic Benchmarks.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Establishing Best Practices for Building Rigorous Agentic Benchmarks
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:07.992049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95239b1d-5d3b-44fe-8c52-63b01aefd6d2 · outbound
This paper cites 18 APPENDIXTABLE OFCONTENTS A Detailed Results 21 A.1 Comprehensive Results.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces 18 APPENDIXTABLE OFCONTENTS A Detailed Results 21 A.1 Comprehensive Results
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T03:37:08.114457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b7a596a1-1c32-4bbe-8ce8-93c5f9ed1886 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.134349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e3bb58bb-4a28-4859-8580-3b1f89c34848 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.142535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5f12f90b-f0f7-4a08-a6f0-9400bed77132 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.146944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1ea20868-973d-44d0-b83f-5744ccd0f5de · outbound
This paper cites outcome".
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces outcome"
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T03:37:08.028130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 704a83f3-364a-48de-bd1a-fee2d68af6f1 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.035125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18234bb5-8c76-4752-91b3-3aa121ccce72 · outbound
This paper cites Independent inspection of the released tasks con- firmed that they are well-specified and largely free of ambiguity or underspecification.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Independent inspection of the released tasks con- firmed that they are well-specified and largely free of ambiguity or underspecification
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T03:37:08.042998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 69736d52-131f-43c6-8a5e-72c1743023fe · outbound
This paper cites held-out.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces held-out
Reference 13
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T03:37:08.049443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8420948f-997f-420e-8658-33e85060d913 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.055164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79ae3ee4-b721-4884-a081-76231d0e48a3 · outbound
This paper cites We’re looking for indications that running the command has failed - carefully analyse the outputs to determine this.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces We’re looking for indications that running the command has failed - carefully analyse the outputs to determine this
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T03:37:08.061385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b78106c3-ece6-4f01-8d47-5bb24889ec82 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.068234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df70fb1f-1c80-445d-b7c3-83b63bab7be6 · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.074051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60003a15-e549-4f65-bdbe-2021236c8a53 · outbound
This paper cites You are about to hand off your work to another agent. Please summarize what you’ve done so far.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces You are about to hand off your work to another agent. Please summarize what you’ve done so far
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T03:37:08.088349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c92b3ab6-065e-40ca-9339-c9cd25485b5a · outbound
This paper cites an unresolved cited work.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T03:37:08.101181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75a8499d-5053-419f-8936-085fa367be89 · outbound
This paper cites Results: X Y Z.
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Results: X Y Z
Reference 20
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T03:37:08.109352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation bc2c7d59-08bb-43f3-8808-9fbaa0217091 · inbound
SERA: Soft-Verified Efficient Repository Agents cites this paper.
SERA: Soft-Verified Efficient Repository Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:17:13.420563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cadcd68-2d55-4d6e-ac8d-6a4aa8a99808 · inbound
Kimi K2.5: Visual Agentic Intelligence cites this paper.
Kimi K2.5: Visual Agentic Intelligence Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d070eb9-7a96-4dbd-8588-290400dabc58 · inbound
Agent-Diff: Benchmarking LLM Agents on Enterprise API Tasks via Code Execution with State-Diff-Based Evaluation cites this paper.
Agent-Diff: Benchmarking LLM Agents on Enterprise API Tasks via Code Execution with State-Diff-Based Evaluation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T03:07:11.985780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c2502f82-f2f0-4f31-bce7-5ad70f6b8715 · inbound
VeRO: A Harness for Agents to Optimize Agents cites this paper.
VeRO: A Harness for Agents to Optimize Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:06:30.926621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f66d6e5-9cbe-41ef-9b2e-302297c6924d · inbound
VeRO: A Harness for Agents to Optimize Agents cites this paper.
VeRO: A Harness for Agents to Optimize Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:45:12.321842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e43ae4b7-e82f-472f-af09-1d853d86e373 · inbound
Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development cites this paper.
Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:00:10.128726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c361e55c-5065-4bb8-bfcb-60f76da75665 · inbound
Effective Strategies for Asynchronous Software Engineering Agents cites this paper.
Effective Strategies for Asynchronous Software Engineering Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T20:49:09.477849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b1f0e6-6b95-4ac1-a3fe-226c9e4e69ea · inbound
SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks cites this paper.
SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T00:18:21.683940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9e2e6ae-129b-440b-8428-c68864acdeec · inbound
Meta-Harness: End-to-End Optimization of Model Harnesses cites this paper.
Meta-Harness: End-to-End Optimization of Model Harnesses Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T16:15:58.227250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60c625e6-06e4-4417-aa07-988588164588 · inbound
Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills cites this paper.
Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T09:29:51.204678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b16f0811-0ba8-4acc-89f3-22f44b099f5d · inbound
TRACE: Capability-Targeted Agentic Training cites this paper.
TRACE: Capability-Targeted Agentic Training Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2c22284f-4079-4a85-aa42-a9581bc39753 · inbound
AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments cites this paper.
AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a383907e-af74-40bd-9195-d767b431b951 · inbound
Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents cites this paper.
Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9d40e8b6-cfd2-4416-a969-90a908bbc508 · inbound
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios cites this paper.
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4818b396-6ccc-4d60-9eec-fce92bdba149 · inbound
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios cites this paper.
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:42:14.837132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecd9eaa4-0a65-46c0-a623-229feafe242a · inbound
How Much Heavy Lifting Can an Agent Harness Do?: Measuring the LLM's Residual Role in a Planning Agent cites this paper.
How Much Heavy Lifting Can an Agent Harness Do?: Measuring the LLM's Residual Role in a Planning Agent Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 01afe455-1add-420e-9124-63c932f63770 · inbound
Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets cites this paper.
Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:58:14.109358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f81e0b6f-b431-4ec2-808e-eeb124a87ee5 · inbound
COMPOSITE-Stem cites this paper.
COMPOSITE-Stem Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T06:41:52.868766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1cb947c-175e-4db4-9988-9380e13e9586 · inbound
OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation cites this paper.
OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:20:57.808333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 31d7448c-c4a4-4761-b50f-089bd20710e4 · inbound
From Context to Rules: Toward Unified Detection Rule Generation cites this paper.
From Context to Rules: Toward Unified Detection Rule Generation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:55:59.987338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 24ac4b31-03b1-4834-8f89-731d838722dc · inbound
From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python cites this paper.
From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:46:08.268286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b4eb09ff-74d5-4d1f-a6e4-066780d33ace · inbound
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization cites this paper.
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T09:05:57.732149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b070afe-5685-4a0c-87fd-f39ebfa076c0 · inbound
Towards Long-horizon Agentic Multimodal Search cites this paper.
Towards Long-horizon Agentic Multimodal Search Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:06:00.175925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 342b5f46-0949-417f-b797-6b2d68b7ad42 · inbound
Exploration and Exploitation Errors Are Measurable for Language Model Agents cites this paper.
Exploration and Exploitation Errors Are Measurable for Language Model Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:21:02.382824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ce1cea9c-d44b-491e-86d8-291b39ac4e5b · inbound
Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy cites this paper.
Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6db8f4c-b25d-40c8-9fc5-d247cdfbb397 · inbound
HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks cites this paper.
HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e22b2236-bded-4744-b39e-beffc944a32f · inbound
KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving cites this paper.
KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ebf058fe-d98b-4a30-a5a3-ba495e4e3a9a · inbound
BranchBench: Aligning Database Branching with Agentic Demands cites this paper.
BranchBench: Aligning Database Branching with Agentic Demands Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 222dc975-e5bb-4afa-974d-e8eea22f129d · inbound
SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents cites this paper.
SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3620eee-499e-42a7-a8df-cab7d7b76c02 · inbound
Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories cites this paper.
Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73a253dd-f2fd-451e-b667-631dd09377f5 · inbound
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4525fe0-769f-415d-9c41-d2dbc0339314 · inbound
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents cites this paper.
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T21:11:10.854057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8c5651dc-ed4c-4bbb-8999-66f412d579d6 · inbound
Toward Scalable Terminal Task Synthesis via Skill Graphs cites this paper.
Toward Scalable Terminal Task Synthesis via Skill Graphs Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T23:51:16.809578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96afacb2-6ed8-4f57-a9e4-1b1a3d06d911 · inbound
Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses cites this paper.
Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:46:45.190352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a92fa150-3bf8-4f25-b86a-c31343bdc321 · inbound
Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses cites this paper.
Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T23:53:51.714728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0fac8e12-f199-403e-8617-2cb5f533c068 · inbound
MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems cites this paper.
MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f684907-36ef-4aff-a4df-fb2158e37a91 · inbound
Heterogeneous Scientific Foundation Model Collaboration cites this paper.
Heterogeneous Scientific Foundation Model Collaboration Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 107
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b7cf7a6-cd43-4d3a-949f-0897f251da6e · inbound
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design cites this paper.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T10:36:30.975678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9546a39b-4954-431b-9a4a-4abc9fc99d66 · inbound
Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes cites this paper.
Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T10:31:28.618912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6bdf56a8-1aed-4386-ae4d-fb2556d38d18 · inbound
LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.
LLM-Oriented Information Retrieval: A Denoising-First Perspective Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 126
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:01:19.839855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c02537c-702a-425d-9fc1-fb4fe28c57a1 · inbound
LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.
LLM-Oriented Information Retrieval: A Denoising-First Perspective Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 129
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T00:19:16.648530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 961c9605-9309-40bd-9df3-2f434e68e2d8 · inbound
BUILD-AND-FIND: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases cites this paper.
BUILD-AND-FIND: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T20:26:12.626586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6c3523ec-d2b4-49d8-baf1-3470940b2b51 · inbound
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors cites this paper.
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:16:10.832441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ebd8258-2635-42b0-acfa-36a76a63ddb0 · inbound
TeamBench: Evaluating Agent Coordination under Enforced Role Separation cites this paper.
TeamBench: Evaluating Agent Coordination under Enforced Role Separation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:00:55.485805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb9829ac-ef4d-47a2-961c-d4ea2a3aded4 · inbound
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 61cd7e8a-a615-4554-b1d0-b48146f8d843 · inbound
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:49:29.207918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation decc0cb2-5d3a-4d38-bb4c-c0ce013a4088 · inbound
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:18:43.017866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aebe349-74e9-4a5e-8932-3b0870b4ed46 · inbound
Learning CLI Agents with Structured Action Credit under Selective Observation cites this paper.
Learning CLI Agents with Structured Action Credit under Selective Observation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:37:08.148477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9460b06a-2718-4a8d-824e-c7412ab0b561 · inbound
SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution cites this paper.
SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:36:58.326900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dcafdf38-1693-42ab-86cf-5468dfba4fc0 · inbound
MDGYM: Benchmarking AI Agents on Molecular Simulations cites this paper.
MDGYM: Benchmarking AI Agents on Molecular Simulations Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T03:16:18.565184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df52b1ab-c41e-4b5a-a125-ec598d19c1a2 · inbound
LLM Agents Already Know When to Call Tools -- Even Without Reasoning cites this paper.
LLM Agents Already Know When to Call Tools -- Even Without Reasoning Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T02:46:19.060948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2f9c64f-d445-40d5-a80f-22e192a3ff2b · inbound
LLM Agents Already Know When to Call Tools -- Even Without Reasoning cites this paper.
LLM Agents Already Know When to Call Tools -- Even Without Reasoning Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:56:25.965009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3f32258-9907-456a-953e-b8350f686e5c · inbound
Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values cites this paper.
Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 83
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:31:21.357721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e730d03d-012e-46db-ba61-4682e42e3a8a · inbound
Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability cites this paper.
Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T04:41:21.856981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bf81f40f-85c9-4ef1-b7a0-a9afd75ccfb4 · inbound
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation cites this paper.
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T07:11:23.964559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ff4237c-23a0-432b-b0dc-b69a0e5b4df1 · inbound
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:16:31.018863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fca59e70-5b37-42a0-81e0-55231c125552 · inbound
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T22:25:06.838406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 51e3bf8a-4d6a-40bd-827e-3b03fabf1c24 · inbound
MMTB: Evaluating Terminal Agents on Multimedia-File Tasks cites this paper.
MMTB: Evaluating Terminal Agents on Multimedia-File Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T01:07:00.481516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5c385cf-7725-43df-88d9-56073daa5181 · inbound
gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy cites this paper.
gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T02:17:06.452705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c32812f1-7fb8-42ee-940e-4ce580779882 · inbound
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack cites this paper.
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T20:32:56.949393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 503b79ae-787f-49fa-83da-4f68cb2e5327 · inbound
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation cites this paper.
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T18:52:35.464751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15c81c16-6fee-4891-adf5-99f8d6bc80d6 · inbound
PREPING: Building Agent Memory without Tasks cites this paper.
PREPING: Building Agent Memory without Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T06:15:06.120258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 309e8e6a-3dae-44f3-8ced-fbfd0fda3b69 · inbound
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction cites this paper.
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T06:05:06.740995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4fc34411-3e50-43d2-ba18-160b02c5230f · inbound
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T04:49:44.564961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aed8048e-41c0-4af3-892a-79f4cf2aa89d · inbound
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:15:04.197628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78cfac98-5e6c-4228-a650-34cfaf220276 · inbound
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T05:09:45.015967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ea8b4e0-dd3e-471f-9a61-85c3ec0be6e3 · inbound
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:23:43.298529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e219b491-3529-4255-91c5-73f8bd914e35 · inbound
Do Coding Agents Understand Least-Privilege Authorization? cites this paper.
Do Coding Agents Understand Least-Privilege Authorization? Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:37:40.123294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f93dc2e-a6e9-43c4-845e-e4d0be8ab33a · inbound
Orchard: An Open-Source Agentic Modeling Framework cites this paper.
Orchard: An Open-Source Agentic Modeling Framework Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T09:51:21.271005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 88082ec2-1c15-4900-a813-9175ecfadaf6 · inbound
Orchard: An Open-Source Agentic Modeling Framework cites this paper.
Orchard: An Open-Source Agentic Modeling Framework Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:05:15.131258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27abc1ab-56ef-4fc6-9416-469e0595125f · inbound
The Scaling Laws of Skills in LLM Agent Systems cites this paper.
The Scaling Laws of Skills in LLM Agent Systems Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.642484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a69b9c14-c1b8-4e96-acff-34dcef2fff66 · inbound
R2V Agent: Teaching SLMs When to Ask for Help cites this paper.
R2V Agent: Teaching SLMs When to Ask for Help Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T20:28:59.778484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75a26867-59a5-44f7-9907-2686bbfb54e2 · inbound
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? cites this paper.
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T17:48:48.854593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 715c29b0-5284-465f-88ec-2763e48ffdd8 · inbound
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench cites this paper.
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T15:33:25.519246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45f591ad-0cee-4f48-871a-0c59c6c30f26 · inbound
Responsible Agentic AI Requires Explicit Provenance cites this paper.
Responsible Agentic AI Requires Explicit Provenance Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T14:13:21.291811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 532443f7-28e3-4935-ac72-dc09c9cf633a · inbound
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games cites this paper.
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T12:28:17.276478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93d737d9-6e7b-42b8-aaeb-c649ceb56585 · inbound
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games cites this paper.
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:45:23.215403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ce1150a4-67d4-4813-9d06-6f50130693db · inbound
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution cites this paper.
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:43:15.124799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e97fe467-d648-43b5-b617-064f30d817af · inbound
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models cites this paper.
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T05:53:04.302217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cc47777-f3ce-4c2a-acd6-9db4470922e5 · inbound
Open-World Evaluations for Measuring Frontier AI Capabilities cites this paper.
Open-World Evaluations for Measuring Frontier AI Capabilities Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T06:39:43.684865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c3805acd-f5f9-4626-8013-2009cb555e79 · inbound
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale cites this paper.
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:59:45.555982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9603e92f-7fe6-420b-985b-9c7047c38e74 · inbound
Terminal-World: Scaling Terminal-Agent Environments via Agent Skills cites this paper.
Terminal-World: Scaling Terminal-Agent Environments via Agent Skills Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T04:54:35.887170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0548592f-515c-49c2-a65e-efb64215ce0e · inbound
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents cites this paper.
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T04:23:57.572966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c573288-681b-4aeb-a22e-3feb1f2a2278 · inbound
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents cites this paper.
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T09:51:21.850352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68cb9568-1160-4b29-bea1-9285dd28addd · inbound
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents cites this paper.
Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T17:34:57.670499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ee85988-18d5-4098-a1f8-a56ac7e999f1 · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T05:51:07.764040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de70236e-354d-44c0-a4b1-0b1eeace607b · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:06:42.930484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 12e2610c-841b-4ae3-a2c5-0ffe5acb0b16 · inbound
Stop Comparing LLM Agents Without Disclosing the Harness cites this paper.
Stop Comparing LLM Agents Without Disclosing the Harness Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T13:25:45.853016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6e275ad-ec3e-4325-90da-d6c1b7f0fded · inbound
EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions cites this paper.
EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T16:24:53.896074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 841dbef7-3a3c-43cb-ab9a-74663fcee331 · inbound
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills cites this paper.
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:24:55.867127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation deefa0d1-ddb4-4fb0-8e1c-bc03ee987e64 · inbound
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations cites this paper.
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T13:14:40.626642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 28ff39d4-3f31-448f-8496-ced88e58a6ae · inbound
Heimdall: Formally Verified Automated Migration of Legacy eBPF Programs to Rust cites this paper.
Heimdall: Formally Verified Automated Migration of Legacy eBPF Programs to Rust Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 40
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T22:04:00.140390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a338a80-4f3c-4d43-95ad-779cfd6205db · inbound
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI cites this paper.
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T21:33:59.178143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe3a6ea6-693b-4610-a129-dfce44b43809 · inbound
Agentic AI Workload Characteristics cites this paper.
Agentic AI Workload Characteristics Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T20:13:58.843019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e274befe-b446-46bb-b4a5-9234ca378836 · inbound
Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems cites this paper.
Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T15:33:32.776969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bbb67e4c-f862-46d1-a376-9406eedf60ca · inbound
LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents cites this paper.
LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T07:33:13.901903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54a1d8d7-304f-474f-b75a-e6fb64032235 · inbound
TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories cites this paper.
TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T19:36:08.589449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0b672bc-4ad4-429b-8d7d-b5e3125865f7 · inbound
Stateful Online Monitoring Catches Distributed Agent Attacks cites this paper.
Stateful Online Monitoring Catches Distributed Agent Attacks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T19:56:11.080961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1ef4e1d-6e4b-4cb0-b36a-03adb6528df3 · inbound
ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use cites this paper.
ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:16:00.188334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1404f36a-9048-437a-aee0-5f5b65eb72eb · inbound
Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.
Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T18:42:29.432773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.