Paper Citation Record · LEDGER

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

As of 18 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 11 inbound Pith citation observations for arXiv:2506.07468.

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

pith.paper-citation-record.v1
2506.07468 v4

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:58.270264Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:37:16.854295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.626705Z

Reference resolution

87 of 87 outbound references displayed

verified exact0
verified fuzzy17
unresolved70
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d261ee4-5244-4b40-9872-858655a6dbdf · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

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Observation 11699782-5518-422b-a26d-43cb5a3b2d4f · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback, 2022 a.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Training a helpful and harmless assistant with reinforcement learning from human feedback, 2022 a

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.839478Z

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Observation 276d90cd-b58e-4a68-9377-9ae5c08dc941 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 3

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Observation cf27c3fe-c28b-4318-809e-1aff70e2ef3d · outbound

This paper cites Safety-tuned LL a MA s: Lessons from improving the safety of large language models that follow instructions.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Safety-tuned LL a MA s: Lessons from improving the safety of large language models that follow instructions

Reference 4

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Observation 238d1b8e-68dc-460b-a349-73820b167a38 · outbound

This paper cites Explore, establish, exploit: Red teaming language models from scratch, 2023.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Explore, establish, exploit: Red teaming language models from scratch, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.854313Z

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Observation bd4d2d05-6319-4083-a92a-ae9082dbd620 · outbound

This paper cites Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

Reference 6

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Observation e9f41345-bd26-4ffa-ba8e-c90e1c5864d1 · outbound

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

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.864889Z

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Observation f3a95e10-5b87-43bc-8a9e-6e6fe8e47765 · outbound

This paper cites Self-playing Adversarial Language Game Enhances LLM Reasoning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Self-playing Adversarial Language Game Enhances LLM Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.869806Z

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Observation 736cc6d9-6aba-4426-8e5f-cc9747cf4850 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.874726Z

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Observation ec01d375-b3e0-4d45-9f75-b2c8ae63ffbb · outbound

This paper cites Or-bench: An over-refusal benchmark for large language models, 2024.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Or-bench: An over-refusal benchmark for large language models, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.879647Z

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Observation 80d2ced1-f453-47ee-84d7-3cd18e1ccd69 · outbound

This paper cites Safe rlhf: Safe reinforcement learning from human feedback, 2023.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Safe rlhf: Safe reinforcement learning from human feedback, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.884214Z

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Observation 31038389-1278-4256-9c39-f2b57d92a12a · outbound

This paper cites Safe rlhf: Safe reinforcement learning from human feedback.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Safe rlhf: Safe reinforcement learning from human feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.888900Z

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Observation 25554758-1d74-4ad9-9ddf-13007b966ef8 · outbound

This paper cites Duoguard: A two-player rl-driven framework for multilingual llm guardrails, 2025.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Duoguard: A two-player rl-driven framework for multilingual llm guardrails, 2025

Reference 13

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Observation 9ff7b10b-9387-4878-8504-4fd80aff043d · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Qlora: Efficient finetuning of quantized llms

Reference 14

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Observation a5c22db3-0a74-4d65-bb86-117c9fd7719e · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models RLHF Workflow: From Reward Modeling to Online RLHF

Reference 15

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Observation bbe488b0-2f52-4006-8f78-4dd7352411af · outbound

This paper cites Google’s gemini tops apple’s app store, snagging lead spot from chatgpt.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Google’s gemini tops apple’s app store, snagging lead spot from chatgpt

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.582649Z

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Observation 7a3b73d6-2d97-483a-91cb-3a0eaf190491 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models KTO: Model Alignment as Prospect Theoretic Optimization

Reference 17

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Observation 001aecab-5aa4-466b-a62a-e2ca9896332f · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:57.917162Z

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Observation 7e55409a-7862-43c4-a474-62ce901c1d23 · outbound

This paper cites Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned, 2022 b.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned, 2022 b

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.568608Z

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Observation 627da4da-6f88-49d2-a020-11ff4cd4daf7 · outbound

This paper cites The language model evaluation harness, 07 2024.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models The language model evaluation harness, 07 2024

Reference 20

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Observation b5b39e20-9c79-4cd0-a001-af7ac9eb3b26 · outbound

This paper cites OLMES: A Standard for Language Model Evaluations.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models OLMES: A Standard for Language Model Evaluations

Reference 21

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Observation b8bf5e3e-c1d6-42f1-9ee3-0344a4c82260 · outbound

This paper cites Elon musk's ai chatbot, grok, started calling itself 'mechahitler'.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Elon musk's ai chatbot, grok, started calling itself 'mechahitler'

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.553774Z

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Observation 612acdc7-9ce5-4332-9223-b0c6a5c688af · outbound

This paper cites WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Reference 24

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Observation 911dc80a-16f0-44d0-91ff-8f92c15b148e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Measuring Massive Multitask Language Understanding

Reference 25

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Observation 8e9e53ba-eaf1-4794-8499-e0c016149cf6 · outbound

This paper cites Curiosity-driven Red-teaming for Large Language Models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Curiosity-driven Red-teaming for Large Language Models

Reference 26

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Observation 8c906f45-c952-4d92-92d0-cca9c9943bc3 · outbound

This paper cites Scaling Trends in Language Model Robustness.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Scaling Trends in Language Model Robustness

Reference 27

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Observation c832e925-7b0f-4213-a087-17c664d4a33e · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 28

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Observation 400b3502-a835-44db-b926-b07dbdb40fa6 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 29

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Observation 6135fdf7-8acb-41c6-9e3d-450ef74083c6 · outbound

This paper cites Llama guard: Llm-based input-output safeguard for human-ai conversations, 2023.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Llama guard: Llm-based input-output safeguard for human-ai conversations, 2023

Reference 30

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Observation c8c0d244-4ce6-4ab2-9651-e07ad646e999 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 31

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Observation 1d4631da-3dbf-4b81-a8e2-0ebaa6f6f048 · outbound

This paper cites Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.529827Z

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Observation 3283b948-1bed-4db5-863a-4b3704b0b63e · outbound

This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 33

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Observation 68d765d4-6336-4559-a5e8-5a5249849e36 · outbound

This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Beavertails: Towards improved safety alignment of llm via a human-preference dataset

Reference 34

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Observation d7939376-e6bb-4e6a-8b88-1260bd1d7db8 · outbound

This paper cites Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models

Reference 35

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Observation ac29a75d-8bcc-4624-9b9f-dc96c0929b45 · outbound

This paper cites Predicting vs.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Predicting vs

Reference 36

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Observation 72fc32e3-f478-45f8-be3d-41168b4fac42 · outbound

This paper cites Deepinception: Hypnotize large language model to be jailbreaker, 2024 b.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Deepinception: Hypnotize large language model to be jailbreaker, 2024 b

Reference 37

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Observation 4d5ff083-06ec-4d68-84e3-62399fafd648 · outbound

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Hashimoto

Reference 38

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Observation 11df9874-f606-47d4-b944-f2b6b3ae4a03 · outbound

This paper cites MARFT: Multi-Agent Reinforcement Fine-Tuning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models MARFT: Multi-Agent Reinforcement Fine-Tuning

Reference 39

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Truthfulqa: Measuring how models mimic human falsehoods

Reference 40

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This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 41

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This paper cites Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 42

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Observation 9c929570-bff5-4ab6-a133-54b36f7a951f · outbound

This paper cites Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.442470Z

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Observation 12d4ecb8-0176-444b-a1e8-50d3080f3aae · outbound

This paper cites Harmbench: A standardized evaluation framework for automated red teaming and robust refusal, 2024.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Harmbench: A standardized evaluation framework for automated red teaming and robust refusal, 2024

Reference 44

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Observation 1c4ffa3c-d4dd-43d9-893d-b34d50776a08 · outbound

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Tree of attacks: Jailbreaking black-box llms automatically, 2024

Reference 45

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Confronting Reward Model Overoptimization with Constrained RLHF

Reference 46

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This paper cites Equilibrium points in n-person games.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Equilibrium points in n-person games

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.408665Z

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Observation 78b3e19f-3ea4-4b0a-9287-eeace28b5644 · outbound

This paper cites DAN (do anything now): A jailbreaking prompt technique, 2023.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models DAN (do anything now): A jailbreaking prompt technique, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.394055Z

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Observation f2b8332c-8bab-4803-a17e-9ec09b2f0463 · outbound

This paper cites Training language models to follow instructions with human feedback.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Training language models to follow instructions with human feedback

Reference 49

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Observation 799ca465-aabf-48c9-b93f-b6cff9914bb4 · outbound

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Tinyzero

Reference 50

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Observation 59f1180e-7ae6-4f72-bc1d-b3c437690746 · outbound

This paper cites MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning

Reference 51

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This paper cites Red Teaming Language Models with Language Models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Red Teaming Language Models with Language Models

Reference 53

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Observation 39c0e848-ed86-4518-8e3b-27ff5d32088a · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.088585Z

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Observation 318aa9e8-b1de-4ad9-8dc2-597ff52aa0f6 · outbound

This paper cites X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents

Reference 56

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Observation 697dfc84-876c-4ae9-aa38-08e04f0e13de · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.103356Z

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Observation e3652854-611a-4c51-a4c3-ef6bb6ab6981 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.108249Z

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Observation 23558116-2263-46ae-ac37-811de7a087f4 · outbound

This paper cites XST est: A test suite for identifying exaggerated safety behaviours in large language models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models XST est: A test suite for identifying exaggerated safety behaviours in large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.370355Z

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Observation 195be6b8-681c-42b3-8ed0-dd4c458f7a3a · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.117338Z

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Observation 6ed57130-317f-43e1-add1-ca4c61bd1a67 · outbound

This paper cites Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.121890Z

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Observation 4705f74b-db8f-4a4e-be1d-db187af308b8 · outbound

This paper cites Google’s Gemini headaches spur \ 90 billion selloff.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Google’s Gemini headaches spur \ 90 billion selloff

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.356514Z

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Observation 6931b790-1272-4a6a-b1e2-5de808fc569b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Proximal Policy Optimization Algorithms

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.131236Z

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Observation e3d0b708-cbd7-48dd-bed7-1385abed1db6 · outbound

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

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.140834Z

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Observation 01fccca1-03f1-4526-a286-11d1c5afe604 · outbound

This paper cites Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.145271Z

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Observation 248627d4-afb2-4c48-9b89-2d01ce445424 · outbound

This paper cites Ai effect openai’s chatgpt to hit 700 million weekly users, up 4x from last year.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Ai effect openai’s chatgpt to hit 700 million weekly users, up 4x from last year

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.342595Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e2400ad-0e2c-4929-8496-50220b099551 · outbound

This paper cites A strongreject for empty jailbreaks.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models A strongreject for empty jailbreaks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.328396Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 351222e8-1589-4ce1-9833-6a0d19e4e170 · outbound

This paper cites Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.159431Z

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Observation eb2ab06e-0633-4105-852f-39b1eeade8a3 · outbound

This paper cites Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.164616Z

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Observation 599bad6f-02f6-4358-84ad-e21cd6c4f3af · outbound

This paper cites RSPO: Regularized Self-Play Alignment of Large Language Models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models RSPO: Regularized Self-Play Alignment of Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.169779Z

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Observation 674068a5-93ff-481c-b563-d1921219dbd9 · outbound

This paper cites Theory of games and economic behavior, 2nd rev.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Theory of games and economic behavior, 2nd rev

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.174758Z

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Observation fc19154d-e67d-478e-ae7f-bfe09d439d4e · outbound

This paper cites Interpretable preferences via multi-objective reward modeling and mixture-of-experts.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Interpretable preferences via multi-objective reward modeling and mixture-of-experts

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.179620Z

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Observation ca722a10-4741-4f16-b0d7-6c0ed56a0c7f · outbound

This paper cites Co-evolving llm coder and unit tester via reinforcement learning, 2025 a.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Co-evolving llm coder and unit tester via reinforcement learning, 2025 a

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.184490Z

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Observation a39d22f1-4ff5-4198-b742-58d1984e87cb · outbound

This paper cites HelpSteer2-Preference: Complementing Ratings with Preferences.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models HelpSteer2-Preference: Complementing Ratings with Preferences

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.189073Z

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Observation 7c84cc59-ee22-4a02-a768-fd7b8743d59b · outbound

This paper cites HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.194293Z

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Observation af33fe80-2280-4136-bebb-dc81c7ca64fa · outbound

This paper cites Jailbroken: How does llm safety training fail?, 2023.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Jailbroken: How does llm safety training fail?, 2023

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.199448Z

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Observation 31f83caf-473a-4dc5-a0cf-c022c626e965 · outbound

This paper cites Self-Play Preference Optimization for Language Model Alignment.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Self-Play Preference Optimization for Language Model Alignment

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.204232Z

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Observation 9c4d8962-1812-4646-a31b-5e688df9cacb · outbound

This paper cites Efficient adversarial training in llms with continuous attacks.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Efficient adversarial training in llms with continuous attacks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.286695Z

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Observation 2c59671d-2dda-47a3-bf6b-0e3e0383f23e · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.214209Z

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Observation d49a9bb5-c74c-41b5-b597-caccd9fa8c15 · outbound

This paper cites Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.219409Z

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Observation 32bd10b1-7c45-47e1-9654-29027edc5667 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.224328Z

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Observation d2e0e32b-b44f-4354-b195-4c694489609b · outbound

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

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.229345Z

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Observation 9c6c182b-8b7f-4fc7-a72f-4e7fedd0fdec · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Instruction-Following Evaluation for Large Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.234241Z

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Observation 7448d546-462a-47b6-bb0a-3b9a27ab379e · outbound

This paper cites Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.239660Z

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Observation b1d1767a-6470-4c2a-ad17-378a7eb6ddf8 · outbound

This paper cites Texygen: A benchmarking platform for text generation models.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Texygen: A benchmarking platform for text generation models

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:59.271124Z

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Observation f110a48a-0d01-4560-85db-ea063ccf73b7 · outbound

This paper cites Improving alignment and robustness with circuit breakers, 2024.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Improving alignment and robustness with circuit breakers, 2024

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.249861Z

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Observation 0ea31367-5761-4aa2-b07d-6cd0959ea725 · outbound

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models write newline

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.254350Z

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Observation 88cd25d4-adc9-4c6d-9bba-ecef568fbe62 · outbound

This paper cites @esa (Ref.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models @esa (Ref

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.259905Z

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Observation dd5c7f15-ce84-4a1d-b87b-f2c170afa4cc · outbound

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Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.265418Z

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Observation 16a43cf8-2d79-487b-a5c6-23a335ddea32 · outbound

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

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:58.270264Z

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Pith citing papers

Observation af2a7c98-a995-49b3-b87c-53ff752c7b78 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:33.282186Z

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Observation 0122cf54-546d-493c-bbdb-139728a28dcf · inbound

Learning in Structured Stackelberg Games cites this paper.

Learning in Structured Stackelberg Games Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:47.218133Z

Source-reported events for the cited work

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Observation 87fb0fde-85a3-444f-bd59-22107d08e435 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:07.051052Z

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Observation 3ce5c752-b121-4c84-817f-6ad9d19affd0 · inbound

Safety Alignment of LMs via Non-cooperative Games cites this paper.

Safety Alignment of LMs via Non-cooperative Games Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 27

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Observation 5cf49950-f877-4f14-98ac-021460384fb4 · inbound

ProbeLLM: Automating Principled Diagnosis of LLM Failures cites this paper.

ProbeLLM: Automating Principled Diagnosis of LLM Failures Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T23:43:07.037472Z

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Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:47.218133Z

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Observation 971b4905-a101-4658-8b8c-00ce6d42e8fd · inbound

Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment cites this paper.

Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:47.218133Z

Source-reported events for the cited work

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Observation 34ccd0d5-654f-4dd5-aff8-f4f4b8adbc6e · inbound

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The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:47.218133Z

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Observation b6e96ab9-4f73-44ad-865a-c8da413936cf · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:47.218133Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2d594ef-34e0-4153-be32-593cc41954b0 · inbound

Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.

Addressing Over-Refusal in LLMs with Competing Rewards Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:47.218133Z

Source-reported events for the cited work

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Observation 26dabc8e-f355-4d52-bde7-a64608f341c9 · inbound

Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs cites this paper.

Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:16.854295Z

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