CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks | Paper Citation Record

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This paper cites arXiv preprint arXiv:2602.07274 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.07274 , year=

Reference 1

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This paper cites arXiv preprint arXiv:2602.21193 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.21193 , year=

Reference 2

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This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 3

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2601.16443 , year=

Reference 4

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Observation d1e2c3b2-ad83-44e0-930a-836368b60153 · outbound

This paper cites Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments

Reference 5

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2603.05344 , year=

Reference 6

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This paper cites A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

Reference 7

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.10999 , year=

Reference 8

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Observation afa97961-4274-4634-8ed3-75e8e0ef0d0b · outbound

This paper cites TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

Reference 9

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Observation cfe25758-e2da-43ad-9487-1f75c18a07ba · outbound

This paper cites Terminal-World: Scaling Terminal-Agent Environments via Agent Skills.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Terminal-World: Scaling Terminal-Agent Environments via Agent Skills

Reference 10

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Observation d0c7463a-2d8d-4a65-bd1b-d58af57a38ff · outbound

This paper cites Toward Scalable Terminal Task Synthesis via Skill Graphs.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Toward Scalable Terminal Task Synthesis via Skill Graphs

Reference 11

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This paper cites Tmax: A simple recipe for terminal agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Tmax: A simple recipe for terminal agents

Reference 12

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Observation 2f02c65c-b372-4589-b1c8-d4c6430c2c5b · outbound

This paper cites CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents

Reference 13

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This paper cites BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

Reference 14

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This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 15

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks 2026 , month = jan, howpublished =

Reference 16

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This paper cites arXiv preprint arXiv:2606.19348 , year=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2606.19348 , year=

Reference 17

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This paper cites doi:10.5281/zenodo.20953922 , url =.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks doi:10.5281/zenodo.20953922 , url =

Reference 18

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks 2025 , eprint=

Reference 19

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks GLM-5: from Vibe Coding to Agentic Engineering

Reference 20

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

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Kimi K2.5: Visual Agentic Intelligence

Reference 21

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This paper cites International Conference on Learning Representations , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 22

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Reference 23

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Unresolved cited work

Reference 24

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This paper cites Advances in Neural Information Processing Systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in Neural Information Processing Systems , volume=

Reference 25

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 26

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This paper cites Dynabench: Rethinking Benchmarking in NLP.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Dynabench: Rethinking Benchmarking in NLP

Reference 27

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This paper cites Advances in neural information processing systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in neural information processing systems , volume=

Reference 28

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This paper cites Advances in neural information processing systems , volume=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in neural information processing systems , volume=

Reference 29

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks NeurIPS 2022 Foundation Models for Decision Making Workshop , year=

Reference 30

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Reference 31

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Expanding the Capability Frontier of

Reference 32

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 33

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Advances in Neural Information Processing Systems , volume=

Reference 34

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Transactions on Machine Learning Research , year=

Reference 35

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks International Conference on Learning Representations , volume=

Reference 36

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Computer Environments Elicit General Agentic Intelligence in LLMs

Reference 37

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 38

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This paper cites TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents

Reference 39

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This paper cites Toward Autonomous Long-Horizon Engineering for ML Research.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Toward Autonomous Long-Horizon Engineering for ML Research

Reference 40

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This paper cites Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 41

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Observation 07c4cc93-02ca-4dce-b1df-3ebeccb6d82f · outbound

This paper cites ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents

Reference 42

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This paper cites NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs

Reference 43

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This paper cites What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Reference 44

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Reference 45

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This paper cites What Makes Interaction Trajectories Effective for Training Terminal Agents?.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks What Makes Interaction Trajectories Effective for Training Terminal Agents?

Reference 46

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Immersion in the

Reference 47

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Observation 273c9ffc-a1f5-45b9-a04c-d2dc56e829cd · outbound

This paper cites DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch

Reference 48

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.03411 , year=

Reference 49

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks arXiv preprint arXiv:2602.03419 , year=

Reference 50

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This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=.

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=

Reference 51

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CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks SETA: Scaling Environments for Terminal Agents

Reference 52

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Reference 53

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