Paper Citation Record · LEDGER

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2607.05458.

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

pith.paper-citation-record.v1
2607.05458 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T17:59:28.201166Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:10:33.975463Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy0
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0664bf45-a77b-44b0-ba9e-f7d28663e9d4 · outbound

This paper cites AgentBench: Evaluating.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning AgentBench: Evaluating

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation d85fda4f-3fb2-4a33-a705-3b4376e299de · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation f8c08bd2-c78e-414a-95aa-8a6f9e3245ce · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning AFlow: Automating Agentic Workflow Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation cd97c3a0-7275-4ffe-8e6e-69d66e708e9d · outbound

This paper cites Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation db988c2e-77fd-4071-a898-22e0db6a142b · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 79fd85ee-e8f0-4d04-9d82-25d92345f025 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 7391420d-66ef-4463-99d9-4665a979af72 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 7eb3cbbc-378a-42f3-9e15-2c484d1e2dc3 · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning GAIA: a benchmark for General AI Assistants

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation b30ec862-e2b3-4a2c-abb2-dcb3f2c35cf9 · outbound

This paper cites and Yang, John and Wettig, Alexander and Yao, Shunyu and Pei, Kexin and Press, Ofir and Narasimhan, Karthik , booktitle =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning and Yang, John and Wettig, Alexander and Yao, Shunyu and Pei, Kexin and Press, Ofir and Narasimhan, Karthik , booktitle =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation dac36de7-4b10-44f4-8340-15af432625a9 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation d9dd8f26-f589-4edb-b453-8644e5853a87 · outbound

This paper cites 2024 , eprint=.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning 2024 , eprint=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 16311f42-fe58-4cca-b588-7264ef1e10bc · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 965b7abe-e470-4f3f-8c51-caaa2b0c4a0e · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 1dd99511-4e5b-4599-80e8-8e3b8c21116d · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 579d0376-ad82-489b-8841-3056180fa992 · outbound

This paper cites and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , journal =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , journal =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 69b2e575-6ffb-4b0f-8c7d-6413bcb540d8 · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations , year=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation be06200b-c01b-4495-9329-a5a3241a9d1e · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 374d94e8-e629-4f0e-9d54-e2c0482f5b50 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 6fd18a8a-d4ea-4131-a9f3-42ddf78a99d3 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 3c84888e-4a4e-48b1-8e9b-a84521382fc5 · outbound

This paper cites and Tan, Shangyin and Soylu, Dilara and Ziems, Noah and Khare, Rishi and Opsahl-Ong, Krista and Singhvi, Arnav and Shandilya, Herumb and Ryan, Michael J.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning and Tan, Shangyin and Soylu, Dilara and Ziems, Noah and Khare, Rishi and Opsahl-Ong, Krista and Singhvi, Arnav and Shandilya, Herumb and Ryan, Michael J

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 2db7ddec-8599-40e7-ac24-c7caa78640a6 · outbound

This paper cites Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation b7ccc6a2-8e8a-46d2-aab5-f391477ae2aa · outbound

This paper cites 2026 , eprint=.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning 2026 , eprint=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 7ab18ca7-1297-4e8f-854f-8d1349979ba1 · outbound

This paper cites 2023 , eprint=.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning 2023 , eprint=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 263ab113-d5b8-4670-a433-a8eaf0c9c612 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation e74298f1-c114-47f4-8ceb-5fb670473c2b · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Machine Learning (ICML) , year =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 85f8103a-5f56-47ae-9b28-2507652597d0 · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation d24bdd2d-8fd5-4080-914e-0ce71f54ae7d · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 07a8c811-b25a-4fb1-92cf-14ebfed10e9a · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 5d034320-5f84-4b5f-8d2f-670dbfff140c · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 2902dd34-2650-4591-be05-c170f2cd5e50 · outbound

This paper cites Offline Reinforcement Learning with Implicit.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Offline Reinforcement Learning with Implicit

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 40c34489-5da4-4485-9e9f-a95d7b932e25 · outbound

This paper cites , booktitle =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning , booktitle =

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 6714bb8d-e124-4347-85bc-8973152a9fa2 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics (AISTATS) , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Artificial Intelligence and Statistics (AISTATS) , year =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 0e286e28-7c73-4dac-9ec3-482c70ed8a2e · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations , year=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 68445256-30dd-40f5-84fb-ea640b39c02e · outbound

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

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning International Conference on Learning Representations , year=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation d5864aca-8b9a-43d9-a6b2-c4df8ce89a47 · outbound

This paper cites 2024 , eprint=.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning 2024 , eprint=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 23cad747-53fd-4180-890e-d236b2445f05 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation d0487d67-c7c4-4579-9746-ab5413ffe7d2 · outbound

This paper cites Process vs.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Process vs

Reference 37

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Observation 1764b52f-8495-41a5-b98f-04678a925e76 · outbound

This paper cites arXiv preprint arXiv:2510.25694 , year =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning arXiv preprint arXiv:2510.25694 , year =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 731e91b7-33f9-4833-ad9c-e5baf3fd2c9e · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 4b19d764-e7c5-46cf-9491-d5b0cc7e16e2 · outbound

This paper cites Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories

Reference 40

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Observation 494390d9-45b7-4740-8962-c85c1d0279c5 · outbound

This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning and Salakhutdinov, Ruslan and Manning, Christopher D

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 2541c560-0321-466b-b738-c607d3cc6b80 · outbound

This paper cites an unresolved cited work.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Observation 3dd3a443-0263-44d1-812a-a60676cb0b03 · outbound

This paper cites Proceedings of the 16th International Conference on Machine Learning (ICML) , pages =.

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Proceedings of the 16th International Conference on Machine Learning (ICML) , pages =

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T17:59:28.201166Z

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Pith citing papers

Observation b92da23f-7233-4967-8ac6-620726359d9d · inbound

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories cites this paper.

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:10:33.975463Z

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