Paper Citation Record · LEDGER

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

As of 24 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 4 inbound Pith citation observations for arXiv:2607.08964.

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

pith.paper-citation-record.v1
2607.08964 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:24:58.589243Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:42.307916Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:45:37.640056Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy0
unresolved53
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0569f4d8-6645-4ae2-b5ab-4736017cec53 · outbound

This paper cites Seed2.1 officially released: Advancing ai productivity.https://seed.bytedance.com/ en/blog/seed2-1-officially-released-advancing-ai-productivity , June 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Seed2.1 officially released: Advancing ai productivity.https://seed.bytedance.com/ en/blog/seed2-1-officially-released-advancing-ai-productivity , June 2026

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation b5c023ec-0e69-4e8d-86bf-e88e100d7df4 · outbound

This paper cites From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 2026

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 31194ba0-cc09-41eb-9c89-417fd17c9474 · outbound

This paper cites Frontierswe.Proximal Blog, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Frontierswe.Proximal Blog, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation d31106d5-346b-42ea-ac7e-719542066fa7 · outbound

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

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Deepseek-v4: Towards highly efficient million-token context intelligence, 2026

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 927fd05e-9172-4e17-b051-cc1c805660db · outbound

This paper cites SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 4c847665-069e-4e53-851d-0784c654d56b · outbound

This paper cites A survey on the optimization of large language model-based agents.ACM Computing Surveys, 58(9):1–37, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading A survey on the optimization of large language model-based agents.ACM Computing Surveys, 58(9):1–37, 2026

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation cb65927c-0edc-4c97-a62f-1606e7b108af · outbound

This paper cites Longcli-bench: A preliminary benchmark and study for long-horizon agentic programming in command-line interfaces.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Longcli-bench: A preliminary benchmark and study for long-horizon agentic programming in command-line interfaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 7b25a2df-14a7-466e-be8a-ef426b612a5c · outbound

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

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading GLM-5: from Vibe Coding to Agentic Engineering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation e0971fd6-8ab8-4f0a-a482-038306a8bbba · outbound

This paper cites Gemini 3.1 pro model card.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Gemini 3.1 pro model card

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 180398ef-19c8-4ff7-9422-72e04cf5c973 · outbound

This paper cites Harbor: A framework for evaluating and optimizing agents and models in container environments, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Harbor: A framework for evaluating and optimizing agents and models in container environments, 2026

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 30c5921e-b5b4-47d7-a874-be8d0e02f152 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 3872e800-85ec-4435-b412-7e69c6d8c6c0 · outbound

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

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pages 54107–54157, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 25b2214d-ef77-4038-8578-8bfebd0d98ce · outbound

This paper cites Process reward models that think.arXiv preprint arXiv:2504.16828, 2025.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Process reward models that think.arXiv preprint arXiv:2504.16828, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 2001b714-9771-4e11-8bad-590d8ac77e5b · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Measuring AI Ability to Complete Long Software Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 2548c8b6-fd4c-4d28-9ac2-86a0e99e9266 · outbound

This paper cites SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 3a164a77-f953-4015-a040-5be20571ce00 · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 95ec34b4-08e8-4285-8020-0ab013f33d5f · outbound

This paper cites COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 7dbc04af-f42b-4da0-9a56-d3636ac96432 · outbound

This paper cites Let’s verify step by step, 2023.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Let’s verify step by step, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 900bd040-4a4e-4c96-a02d-b377ac0e5c77 · outbound

This paper cites Cuarewardbench: A benchmark for evaluating reward models on computer-using agent.arXiv preprint arXiv:2510.18596, 2025.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Cuarewardbench: A benchmark for evaluating reward models on computer-using agent.arXiv preprint arXiv:2510.18596, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 0c9ae61e-4b22-4b12-af30-28b97b755bc4 · outbound

This paper cites Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 87cb8ece-e5c0-425e-be99-a295c3dd5883 · outbound

This paper cites KLong: Training LLM Agent for Extremely Long-horizon Tasks.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading KLong: Training LLM Agent for Extremely Long-horizon Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation be3d5d25-fb5f-45cc-bd74-e98c3ac0f5e9 · outbound

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

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

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Observation 163d28d8-f7b0-4600-a851-e2924fbe64e4 · outbound

This paper cites MiniMax Sparse Attention.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading MiniMax Sparse Attention

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation acb35c20-9cdc-4513-a18c-0ea0468925f0 · outbound

This paper cites Kimi k2.6: From code to creation, from one to many.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Kimi k2.6: From code to creation, from one to many

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 4d31dd8b-8611-4bd5-8533-96c993498dbf · outbound

This paper cites Kimi k2.7 code: Open-source 1t agentic coding model.https://kimik2ai.com/k2.7/, June 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Kimi k2.7 code: Open-source 1t agentic coding model.https://kimik2ai.com/k2.7/, June 2026

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 8f9cfab3-5c5a-4f62-b533-79f43c01a821 · outbound

This paper cites Swt-bench: Testing and validating real-world bug-fixes with code agents.Advances in Neural Information Processing Systems, 37:81857–81887, 2024.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Swt-bench: Testing and validating real-world bug-fixes with code agents.Advances in Neural Information Processing Systems, 37:81857–81887, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 4ecffd4e-2160-44cb-9433-1984c8ee78ee · outbound

This paper cites Codex.https://github.com/openai/codex, 2025.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Codex.https://github.com/openai/codex, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 5ec6e7fe-9482-4da2-be93-2cafcba960f0 · outbound

This paper cites OpenAI GPT-5 System Card.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading OpenAI GPT-5 System Card

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation c0613d6c-b724-4724-8a69-9299e6a5b7e2 · outbound

This paper cites Openclaw, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Openclaw, 2026

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation a4702ce7-9f1a-4b50-8dfb-edce1839c82c · outbound

This paper cites Rubriceval: A rubric-level meta-evaluation benchmark for llm judges in instruction following.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Rubriceval: A rubric-level meta-evaluation benchmark for llm judges in instruction following

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 88b24471-f688-44c8-93f9-39daa6385223 · outbound

This paper cites Qwen3.6.https://qwen.ai/blog?id=qwen3.6, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Qwen3.6.https://qwen.ai/blog?id=qwen3.6, 2026

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation da8b1671-2850-4085-8eab-72a766a0cae4 · outbound

This paper cites Qwen3.7.https://qwen.ai/blog?id=qwen3.7, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Qwen3.7.https://qwen.ai/blog?id=qwen3.7, 2026

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation f96bb0c3-74ac-4dc2-9d06-bc11f76acf17 · outbound

This paper cites Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 3d5252ba-4f12-481d-b7f8-31074f118c77 · outbound

This paper cites HCAST: Human-Calibrated Autonomy Software Tasks.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading HCAST: Human-Calibrated Autonomy Software Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation e2d7f8af-7b38-4604-a28a-1cef99f3bc26 · outbound

This paper cites The illusion of diminishing returns: Measuring long horizon execution in llms.arXiv preprint arXiv:2509.09677, 2025.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading The illusion of diminishing returns: Measuring long horizon execution in llms.arXiv preprint arXiv:2509.09677, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 68533192-2278-440d-9c0b-745446854a34 · outbound

This paper cites an unresolved cited work.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 7a8772a3-8bd0-4827-92a7-cef97d7c7614 · outbound

This paper cites Tencent hunyuan 3.https://hunyuan.tencent.com/, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Tencent hunyuan 3.https://hunyuan.tencent.com/, 2026

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation d4472a5d-1bcb-40fb-871f-bc4e1ab7c3ac · outbound

This paper cites ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading ARCO: Adaptive Rubrics with Co-Evolution for Multi-Step LLM-Based Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation 8721f60f-92bd-4315-a963-35e05dee8c87 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Solving math word problems with process- and outcome-based feedback

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

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Observation d1756103-768f-4219-ba83-ed2e05c1bf05 · outbound

This paper cites Apex-agents.arXiv preprint arXiv:2601.14242, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Apex-agents.arXiv preprint arXiv:2601.14242, 2026

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation cd4a1a6e-b61d-43c7-a38b-b5a543a3243b · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, et al.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, et al

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Observation e871df6f-0e68-4356-90d0-259d43c9e111 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation 39cdc564-835b-49bd-bba2-3e2838575ae9 · outbound

This paper cites The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation c4e9e2a6-d05e-4c08-b8cf-89f4e4b97842 · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation a7ec3062-52d4-475b-8b0b-fd0b3c58bc27 · outbound

This paper cites Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation 5e61e23f-8b40-43fa-a326-f7db9dd3d788 · outbound

This paper cites Grok.https://x.ai/, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Grok.https://x.ai/, 2026

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

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Unavailable: canonical work link unavailable.

Observation 7e932d43-c268-409b-bfe0-ab8638842967 · outbound

This paper cites Grok 4.5.https://x.ai/, 2026.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Grok 4.5.https://x.ai/, 2026

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0273930-b891-47d7-9cce-d9a27083e5ec · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fdd5fb5-5e47-4ca5-af01-524a96a24968 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3afeb1-d4eb-4dbd-85be-d2e879f716e7 · outbound

This paper cites Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d4ddb4-5b6b-4cca-a130-6451205cf9a5 · outbound

This paper cites Self-Rewarding Language Models.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Self-Rewarding Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb734a2-0497-4a60-b6ea-57d236373dc9 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623, 2023.

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623, 2023

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9825a558-4f43-4a83-b100-3ac4e4893cf0 · outbound

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

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-14T15:24:58.589243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 08769bb1-e34f-4a66-b9a0-2e02d1661f6e · inbound

Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance cites this paper.

Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:30:30.340852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b89008-24a9-40b4-bcdf-70106faf04c8 · inbound

Recursive Synthesis for Long-Horizon Terminal Tasks cites this paper.

Recursive Synthesis for Long-Horizon Terminal Tasks Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T12:35:01.407591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7153a8a-2cb8-43a7-a39e-afe35ad7ade3 · inbound

Recursive Synthesis for Long-Horizon Terminal Tasks cites this paper.

Recursive Synthesis for Long-Horizon Terminal Tasks Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.307916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc54f7c-ae67-4ca5-b881-0e330d5adf76 · inbound

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks cites this paper.

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

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:45:37.646242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.