Paper Citation Record · LEDGER

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2602.11351.

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

pith.paper-citation-record.v1
2602.11351 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:13:30.397515Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy0
unresolved41
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cf34756-4688-4a94-a3f3-eb8df2a296f7 · outbound

This paper cites Consistently simulating human personas with multi-turn reinforcement learning.arXiv preprint arXiv:2511.00222,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Consistently simulating human personas with multi-turn reinforcement learning.arXiv preprint arXiv:2511.00222,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:24.996133Z

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Observation 925a5ce1-d2d7-4178-bfe5-2fb732e95e7c · outbound

This paper cites Reinforcement Learning for Long-Horizon Interactive LLM Agents.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Reinforcement Learning for Long-Horizon Interactive LLM Agents

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.232880Z

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Observation 5d47239c-cc22-4a5b-98c7-0fd887ce84b7 · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.386643Z

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Observation 2f6680bd-5aac-44f1-a237-74399e3fa718 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.542401Z

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Observation de66711d-3d1d-4196-a7cb-7a50aa09c23d · outbound

This paper cites Contextual Markov Decision Processes.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Contextual Markov Decision Processes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.745024Z

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Observation d3cd077b-4b50-4363-b7c5-5ba09127493d · outbound

This paper cites R., He, J., Yu, H., et al.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization R., He, J., Yu, H., et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.242813Z

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Observation ed6abef3-9eaa-4136-af20-fc317702da7d · outbound

This paper cites Quagmires in sft-rl post- training: When high sft scores mislead and what to use instead.arXiv preprint arXiv:2510.01624,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Quagmires in sft-rl post- training: When high sft scores mislead and what to use instead.arXiv preprint arXiv:2510.01624,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.329894Z

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Observation fdafd0cb-8359-4589-80fa-a54d0b1c4e9f · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.456107Z

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Observation 1dbddb93-2803-4ca7-88e5-63fe4e100703 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.575467Z

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Observation bd3124c4-1797-4d42-9b63-7bc0125cb811 · outbound

This paper cites A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.701496Z

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Observation f75ca2ed-f3e2-4825-8c23-754567efa4a3 · outbound

This paper cites A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.854490Z

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Observation 21967e0c-e5f6-42a9-a2a2-d93f2d683900 · outbound

This paper cites UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.015676Z

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Observation c097a627-c7e7-408b-87bf-6b323c113e63 · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.189438Z

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Observation ab94e218-f79c-409f-8062-ecaef6c54f67 · outbound

This paper cites HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.347739Z

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Observation a8a8e0be-0c63-4936-a4fb-ca7f1444b804 · outbound

This paper cites Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.574670Z

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Observation 97c2fc39-6466-4cf3-a527-32042fbe3344 · outbound

This paper cites BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.793264Z

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Observation 670737dc-3c3a-42ab-a041-0bf224cc8170 · outbound

This paper cites APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.863872Z

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Observation 1f86f967-51b6-442c-a056-e36475a4f012 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization ToolRL: Reward is All Tool Learning Needs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.985409Z

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Observation df72b7ae-2db8-4bda-985b-47de9f1a2166 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.112926Z

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Observation 2465e9b8-0ca7-4897-9838-026eacf3cd3d · outbound

This paper cites Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.211988Z

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Observation fbaf1417-b5da-400e-9a9f-40f7dd5c0742 · outbound

This paper cites Language Model Personalization via Reward Factorization.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Language Model Personalization via Reward Factorization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.352379Z

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Observation fc728a6f-6756-4464-bffe-ece9910977f7 · outbound

This paper cites Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.480694Z

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Observation d746fc4d-08f7-4f89-804f-0866a12d889f · outbound

This paper cites Training proactive and per- sonalized llm agents.arXiv preprint arXiv:2511.02208,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Training proactive and per- sonalized llm agents.arXiv preprint arXiv:2511.02208,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.610154Z

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Observation 0b738638-e145-4a6d-a552-07f26960a010 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Gemini: A Family of Highly Capable Multimodal Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.684575Z

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Observation 10028b63-61cd-4504-8a77-e75ff9eb10a6 · outbound

This paper cites En- hancing personalized multi-turn dialogue with curiosity reward.arXiv preprint arXiv:2504.03206,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization En- hancing personalized multi-turn dialogue with curiosity reward.arXiv preprint arXiv:2504.03206,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.984404Z

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Observation 9391ca7b-429b-4994-a220-a8f2c6f0f8b9 · outbound

This paper cites OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.080919Z

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Observation b279e7df-c54c-4fe5-a995-6298419c2e5b · outbound

This paper cites Boad: Discovering hierarchi- cal software engineering agents via bandit optimization.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Boad: Discovering hierarchi- cal software engineering agents via bandit optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.386885Z

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Observation 43f0cd01-802e-484c-b23a-15c30fe2faac · outbound

This paper cites Qwen3 Technical Report.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Qwen3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.423336Z

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Observation 3bd0f250-4516-44ba-9c1a-1f3650c12246 · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.528540Z

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Observation 23557dd4-11bf-41ca-905a-c1c1bfb8f343 · outbound

This paper cites Demysti- fying reinforcement learning in agentic reasoning.arXiv preprint arXiv:2510.11701,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Demysti- fying reinforcement learning in agentic reasoning.arXiv preprint arXiv:2510.11701,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.699949Z

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Observation 91f78ddb-4cbf-4659-9b2a-0d815ea1ca68 · outbound

This paper cites Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.838143Z

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Observation 10def8fe-8f92-4e75-af87-e71342188605 · outbound

This paper cites Teaching language models to evolve with users: Dynamic profile modeling for personalized alignment.arXiv preprint arXiv:2505.15456,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Teaching language models to evolve with users: Dynamic profile modeling for personalized alignment.arXiv preprint arXiv:2505.15456,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:30.021924Z

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Observation e3738c32-c27f-4543-aa82-ea31e4711187 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:30.206953Z

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Observation 9a4cb23e-93d5-4e7a-b7a3-f78585c61635 · outbound

This paper cites E., and Zhou, W.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization E., and Zhou, W

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:30.321333Z

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Observation 0f994dda-d6a8-42fd-964a-a8595da18906 · outbound

This paper cites Yes”, “No.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Yes”, “No

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:30.397515Z

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Observation 5a0a8997-cc09-4a0b-a013-6621dda5a016 · outbound

This paper cites GPT-4o System Card.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization GPT-4o System Card

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.873768Z

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Observation 11359bac-b2ad-4c72-8e1a-64e34cd6f14f · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:27.661295Z

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Observation 8ce43951-02aa-4c32-9da1-fd317ea5175d · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:28.882418Z

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Observation d3b8c592-c102-4c97-a2f1-41c7335db57c · outbound

This paper cites OpenAI o1 System Card.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization OpenAI o1 System Card

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:26.072593Z

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Observation f09582dc-a9eb-4fe9-9b35-23ec975f43e3 · outbound

This paper cites Behavior injection: Preparing language models for reinforcement learning.arXiv preprint arXiv:2505.18917,.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization Behavior injection: Preparing language models for reinforcement learning.arXiv preprint arXiv:2505.18917,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:25.140784Z

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Observation a279625d-8e07-44d8-a331-6aec4580110f · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-03T00:13:29.208730Z

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Pith citing papers

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