Recursive Synthesis for Long-Horizon Terminal Tasks | Paper Citation Record

Observation 2c55a005-f53c-41af-9399-07bc16e79674 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 1

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Observation cc009994-88ed-4ecc-a905-caf4036be692 · outbound

This paper cites From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 59(2):71, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks From language to action: a review of large language models as autonomous agents and tool users.Artificial Intelligence Review, 59(2):71, 2026

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.205783Z

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Observation c066ae0e-bc57-4ff3-aed8-7ecd0ca42297 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

Reference 3

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Observation ca381ec2-be0c-43ea-b4b6-9c1dc7e459f4 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Deepseek-v4: Towards highly efficient million-token context intelligence, 2026

Reference 4

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Observation e8773e98-d477-4409-8177-b0cbf8e77159 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.219865Z

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Observation ece9f214-21da-413c-9b3f-cca0038d441a · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks 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 2026-08-10T04:31:42.229987Z

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Observation 02958a10-5eec-4e62-bb12-700c6f03f4f8 · outbound

This paper cites Webevolver: Enhancing web agent self-improvement with coevolving world model, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Webevolver: Enhancing web agent self-improvement with coevolving world model, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.235096Z

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Observation 519c3faf-88e6-48c4-b822-0a5cd6aafcb0 · outbound

This paper cites Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.240540Z

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Observation da1389af-5b0b-4b91-a521-13a206c5f770 · outbound

This paper cites Goodman, and Dimitris Papailiopoulos.

Recursive Synthesis for Long-Horizon Terminal Tasks Goodman, and Dimitris Papailiopoulos

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.245725Z

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Observation 38c43c10-76d8-4944-a4ac-2008a002dcd2 · outbound

This paper cites Fung, Kun Wang, Linfeng Zhang, and Jing Shao.

Recursive Synthesis for Long-Horizon Terminal Tasks Fung, Kun Wang, Linfeng Zhang, and Jing Shao

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.251091Z

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Observation 058f5f6d-de76-4f57-a9f3-1ff24167cb79 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Harbor: A framework for evaluating and optimizing agents and models in container environments, 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.256207Z

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Observation 0c011a89-1d84-4c4f-a929-1004c4d00d30 · outbound

This paper cites Visplay: Self-evolving vision- language models from images.arXiv preprint arXiv:2511.15661, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Visplay: Self-evolving vision- language models from images.arXiv preprint arXiv:2511.15661, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.261371Z

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Observation 279bdab0-2545-41de-9661-391b212a544c · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Recursive Synthesis for Long-Horizon Terminal Tasks V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.267254Z

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Observation 9f09bbf1-b829-468d-8b58-ccef9812db78 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.272425Z

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Observation 980e2828-2027-4b9d-9ede-2409b9a64523 · outbound

This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Recursive Synthesis for Long-Horizon Terminal Tasks R-Zero: Self-Evolving Reasoning LLM from Zero Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.277436Z

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Observation 5e5a5258-b1e8-426c-af3f-f80180277d49 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Tmax: A simple recipe for terminal agents

Reference 16

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Observation 8a982089-4b48-4c2d-a930-36a4bc7519ed · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In B.

Recursive Synthesis for Long-Horizon Terminal Tasks Swe-bench: Can language models resolve real-world github issues? In B

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.287847Z

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Observation c420c1cd-2424-48a8-a8cb-450a34019688 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Measuring AI Ability to Complete Long Software Tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.292532Z

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Observation a93c6b79-9a91-47ad-92e9-51b95a060e07 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.297797Z

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Observation 87fed20f-49a3-40d9-a5ed-170c1aa510dc · outbound

This paper cites Mm-zero: Self-evolving multi-model vision language models from zero data.

Recursive Synthesis for Long-Horizon Terminal Tasks Mm-zero: Self-evolving multi-model vision language models from zero data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.303134Z

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

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

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

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Observation ad8ecfa1-9d76-47b1-8f7a-1e18342d8f31 · outbound

This paper cites Agentbench: Evaluating llms as agents,.

Recursive Synthesis for Long-Horizon Terminal Tasks Agentbench: Evaluating llms as agents,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.312944Z

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Observation b5d80f03-231d-4799-bc6b-3bbc01459d0a · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.323224Z

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Observation 7c59bf90-7f5f-4bd6-80e7-fdf8f2d5be8b · outbound

This paper cites GAIA: a benchmark for General AI Assistants.

Recursive Synthesis for Long-Horizon Terminal Tasks GAIA: a benchmark for General AI Assistants

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.328466Z

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Observation 4c7fddd2-8fe6-45af-9766-99f5ba6450d0 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

Recursive Synthesis for Long-Horizon Terminal Tasks Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.333215Z

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Observation 139b3560-c933-4e93-be79-c6425a309336 · outbound

This paper cites LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.338092Z

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Observation 8ce09874-75c1-4713-a03b-1e778d41974c · outbound

This paper cites On data engineering for scaling llm terminal capabilities, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks On data engineering for scaling llm terminal capabilities, 2026

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.343067Z

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Observation 4576b5c3-1f36-49ca-87d9-7a8bfed8dd8c · outbound

This paper cites Self-Consistency Preference Optimization.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Consistency Preference Optimization

Reference 28

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Observation 06241151-acaf-4b38-a633-b9714166a332 · outbound

This paper cites OpenThoughts-Agent: Data Recipes for Agentic Models.

Recursive Synthesis for Long-Horizon Terminal Tasks OpenThoughts-Agent: Data Recipes for Agentic Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.352345Z

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Observation 97cd79c3-62d2-44d2-a140-7c90a5b7297b · outbound

This paper cites SETA: Scaling Environments for Terminal Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks SETA: Scaling Environments for Terminal Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.357503Z

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Observation 5e6c19ce-8f43-4cca-8b91-8acaebf75c24 · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.362344Z

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Observation 9432fcd3-e530-4853-9994-ca49eb34f008 · outbound

This paper cites EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.

Recursive Synthesis for Long-Horizon Terminal Tasks EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.367497Z

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Observation fab00cfb-2459-4dc3-8a39-e02ce3c2452f · outbound

This paper cites Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training, 2026

Reference 33

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Observation a65429c2-26ff-4332-b948-55c6b262903b · outbound

This paper cites Apex-agents, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Apex-agents, 2026

Reference 34

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Observation c7160357-9eab-4a28-85f3-08052524b7de · outbound

This paper cites Swe-bench++: A framework for the scalable generation of software engineering benchmarks from open-source repositories, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Swe-bench++: A framework for the scalable generation of software engineering benchmarks from open-source repositories, 2025

Reference 35

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Observation d2675e82-42ac-4715-863c-e29d6779cf27 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 36

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Observation bd8c7d9c-18f7-4539-b280-8efba6b1dd1b · outbound

This paper cites Llms as scalable, general-purpose simulators for evolving digital agent training,.

Recursive Synthesis for Long-Horizon Terminal Tasks Llms as scalable, general-purpose simulators for evolving digital agent training,

Reference 37

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Observation 400cdf8d-c200-4232-aea8-6de31f2d7c6f · outbound

This paper cites BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution.

Recursive Synthesis for Long-Horizon Terminal Tasks BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

Reference 38

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Observation 3ba2c9d8-f5da-4272-9bee-6ea986b02c5d · outbound

This paper cites Autowebworld: Synthesizing infinite verifiable web environments via finite state machines, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Autowebworld: Synthesizing infinite verifiable web environments via finite state machines, 2026

Reference 39

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Observation 2143ad3e-68bd-463b-9232-9cfdd3918a94 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 40

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Observation 0264a25d-0340-46d0-9891-b4ec19854952 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 41

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Observation 1a80a65a-4c44-4aa1-9e0f-cf996fe686d1 · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

Recursive Synthesis for Long-Horizon Terminal Tasks Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.424641Z

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Observation 1d12c67d-550d-4363-9203-3319f3df0423 · outbound

This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning, 2025.

Recursive Synthesis for Long-Horizon Terminal Tasks Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning, 2025

Reference 43

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Observation f6255282-f7c5-4d0e-81ab-808a88146d53 · outbound

This paper cites Self-Rewarding Language Models.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-Rewarding Language Models

Reference 44

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Observation d1612d17-73d9-4e80-953d-8ad5a4349f09 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Recursive Synthesis for Long-Horizon Terminal Tasks Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 45

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Observation 1adc4344-4235-4b67-801a-8a9221c003d1 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 46

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Observation 2c808672-be58-4cfc-8581-9cf6198aab35 · outbound

This paper cites RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments.

Recursive Synthesis for Long-Horizon Terminal Tasks RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 47

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Observation a7587ab7-336b-4ecd-b06a-76443eb3beac · outbound

This paper cites InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training.

Recursive Synthesis for Long-Horizon Terminal Tasks InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Reference 48

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Observation 08008107-2ddc-496b-8e85-47d96bdfa2f7 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Recursive Synthesis for Long-Horizon Terminal Tasks Star: Bootstrapping reasoning with reasoning

Reference 49

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Observation bd89ff8a-1f3a-422a-b373-646e6f8aa4f9 · outbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 50

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Observation b9d8b878-78cb-47e4-a45d-23315cc76705 · outbound

This paper cites Self-challenging lan- guage model agents.

Recursive Synthesis for Long-Horizon Terminal Tasks Self-challenging lan- guage model agents

Reference 51

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Observation b29bf9eb-cca8-4173-aaf8-6f5e40e66aa5 · outbound

This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.

Recursive Synthesis for Long-Horizon Terminal Tasks Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 52

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Observation 50609824-da2b-4b92-bd00-fcba9302a8c0 · outbound

This paper cites fix this bug.

Recursive Synthesis for Long-Horizon Terminal Tasks fix this bug

Reference 53

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Observation 9ae4e2a8-d413-41fb-b937-1c001b43e38a · outbound

This paper cites Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents, 2026.

Recursive Synthesis for Long-Horizon Terminal Tasks Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents, 2026

Reference 55

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Observation ce65b537-6426-425e-81f8-da613cf18540 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 57

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Observation 259bf17d-f05d-4c84-a27d-5ac7ee43eeb0 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 58

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Observation e1fc817d-399f-4a03-9ca6-cb7a5d2ff195 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

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Observation 0e70ae8d-d722-42d8-b74e-652d68808fda · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

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Observation d4a88b8c-e23e-4c8e-8ca4-242c7208e0f1 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

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Observation 77cbee23-7beb-46a5-b016-52329dd344fa · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 62

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Observation d61cf710-108b-42d7-91f4-d12726907a26 · outbound

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Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.509707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808cb6b4-977c-4996-b054-890e0f1e9caf · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.514108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec1ec39-5047-47bb-b08c-c1df439774c3 · outbound

This paper cites until tests pass.

Recursive Synthesis for Long-Horizon Terminal Tasks until tests pass

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.518629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd35cf37-3464-4fee-8031-72035d0f9e12 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Recursive Synthesis for Long-Horizon Terminal Tasks AgentBench: Evaluating LLMs as Agents

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.318028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d61a84-c49b-4b3b-a3cc-5a85435146fb · outbound

This paper cites an unresolved cited work.

Recursive Synthesis for Long-Horizon Terminal Tasks Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.224784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers