Paper Citation Record · LEDGER

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2509.07006.

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

pith.paper-citation-record.v1
2509.07006 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:53.128079Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:25:54.160882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:40:54.567829Z

Reference resolution

50 of 50 outbound references displayed

verified exact12
verified fuzzy10
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa249d92-4588-4500-9d48-7da9d67f5c93 · outbound

This paper cites an unresolved cited work.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.402666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee3b24b1-85f2-4f71-bce5-fd0b8c4bb81d · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.854837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd75a43-3384-41bf-93bc-c88949164e74 · outbound

This paper cites FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.861299Z

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Observation f4710fcb-8f86-43d5-9753-9eb79054e862 · outbound

This paper cites Modelling moral reasoning and ethical responsibility with logic programming.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Modelling moral reasoning and ethical responsibility with logic programming

Reference 4

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.379609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b074c3b-e88a-44b2-91a6-923c6b9fd60f · outbound

This paper cites When Should Algorithms Resign? A Proposal for AI Governance.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code When Should Algorithms Resign? A Proposal for AI Governance

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T16:26:54.288168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4634952b-d99c-49e9-8d58-be547e70cea8 · outbound

This paper cites an unresolved cited work.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.879008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ebfc6d-0a57-422b-afbf-31ccba477b2b · outbound

This paper cites Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Melnikov, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lior Nachman, Adrian Cheng, and Kush R.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Melnikov, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lior Nachman, Adrian Cheng, and Kush R

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.886800Z

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Observation 50a5a9e7-0dad-4833-a37d-1a24d3103977 · outbound

This paper cites Superintelligence: Paths, Dangers, Strategies.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Superintelligence: Paths, Dangers, Strategies

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.574130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76001f45-0b05-4cfa-b021-6319504e43cb · outbound

This paper cites Harms from Increasingly Agentic Algorithmic Systems.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Harms from Increasingly Agentic Algorithmic Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.904380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a3d0433-460d-48c7-a47f-6c05cfdda440 · outbound

This paper cites Confucian Ethics and AI: Towards Harmonious Human-Machine Interaction.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Confucian Ethics and AI: Towards Harmonious Human-Machine Interaction

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.360584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bf52532-aed5-4752-bc30-a077d466382c · outbound

This paper cites Deep reinforcement learning from human preferences.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Deep reinforcement learning from human preferences

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.914337Z

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Observation a5f7ced4-a4d3-4e3d-8c11-48759187c401 · outbound

This paper cites Achieving EU AI Act Compliance by Integrating Governance as Code (GaC) and Machine Learning Operations (MLOps).

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Achieving EU AI Act Compliance by Integrating Governance as Code (GaC) and Machine Learning Operations (MLOps)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.558537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53599dfe-1688-4d51-a0ba-da9f713a2a55 · outbound

This paper cites Collins, Ilia Sucholutsky, Umang Bhatt, Adrian Weller, Thomas L.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Collins, Ilia Sucholutsky, Umang Bhatt, Adrian Weller, Thomas L

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.924465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7549c6-f490-45e1-97b7-79b27da8778f · outbound

This paper cites Process Reinforcement through Implicit Rewards.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Process Reinforcement through Implicit Rewards

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.929255Z

Source-reported events for the cited work

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Observation 65cc20c8-df71-4118-a21b-3cfdb5aeeff8 · outbound

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

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.934071Z

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Observation 3d8c81c6-47db-424d-86f4-7710bdbcbe2b · outbound

This paper cites Dennis, Michael Fisher, Marija Slavkovik, and Matt P.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Dennis, Michael Fisher, Marija Slavkovik, and Matt P

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.938613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d01316c-08d5-4570-8588-65f276f0ff1c · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.943079Z

Source-reported events for the cited work

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Observation 81014b0b-6e4e-45c7-8b0e-1772d12fe360 · outbound

This paper cites Ubuntu and Artificial Intelligence: Towards an African Ethical Framework.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Ubuntu and Artificial Intelligence: Towards an African Ethical Framework

Reference 18

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.315826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8841a5c9-780d-42b7-8cbf-7897e6162dc7 · outbound

This paper cites Buddhist Ethics and AI: Compassion-Based Approaches to Artificial Intelligence.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Buddhist Ethics and AI: Compassion-Based Approaches to Artificial Intelligence

Reference 19

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.297447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85d26e96-f27d-4929-a946-9dcdd74c21c2 · outbound

This paper cites Buen Vivir: Today's Tomorrow.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Buen Vivir: Today's Tomorrow

Reference 20

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.279919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9a7e6de-b239-475b-8458-3a85bdabf65b · outbound

This paper cites Introduction to AI Safety, Ethics, and Society.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Introduction to AI Safety, Ethics, and Society

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.542396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 099095ce-d0ee-4835-ab59-06ea1161a122 · outbound

This paper cites Towards interactive evaluations for interaction harms in human-AI systems.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Towards interactive evaluations for interaction harms in human-AI systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.967518Z

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Observation 1a1e38cd-4044-4975-8536-8cc3de103757 · outbound

This paper cites Gordon, Caglar Gulcehre, Dongyeop Kang, Maarten Sap, Amy Zhang, and He He.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Gordon, Caglar Gulcehre, Dongyeop Kang, Maarten Sap, Amy Zhang, and He He

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.525122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58dca08c-85ea-4e18-abab-d3727fca59e7 · outbound

This paper cites High spin axion insulator.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code High spin axion insulator

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.978011Z

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Observation 38e519cd-c847-4145-9cf5-935b972e2d39 · outbound

This paper cites The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:52.982927Z

Source-reported events for the cited work

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Observation 4171fc9f-ad2e-4430-992e-a19bb54d166e · outbound

This paper cites Confucian Values in AI Development: A Framework for Ethical Technology.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Confucian Values in AI Development: A Framework for Ethical Technology

Reference 26

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.260399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4abdc95f-7c89-4e08-ad0a-8c235a3b69fd · outbound

This paper cites Topological eigenvalues braiding and quantum state transfer near a third-order exceptional point.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Topological eigenvalues braiding and quantum state transfer near a third-order exceptional point

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T16:26:53.879887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46604d68-be3d-4041-9bc1-a805f513d267 · outbound

This paper cites Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.000305Z

Source-reported events for the cited work

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Observation 28c0d855-d4d7-4bfe-8fdd-1f0195ece22c · outbound

This paper cites From Rationality to Relationality: Ubuntu as an Ethical and Human Rights Framework for Artificial Intelligence Governance.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code From Rationality to Relationality: Ubuntu as an Ethical and Human Rights Framework for Artificial Intelligence Governance

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.508883Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1bfe3e2-dd21-4ac2-b700-66b33ea006b1 · outbound

This paper cites Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.011677Z

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Observation 70fb6c68-b68f-47fc-983d-8a83dfe813fc · outbound

This paper cites The Ubuntu Way: Ensuring Ethical AI Integration in Health Research.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code The Ubuntu Way: Ensuring Ethical AI Integration in Health Research

Reference 31

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.233222Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94a99a66-1493-4e33-9421-1d4bb37eb2e0 · outbound

This paper cites Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies

Reference 32

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.215912Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c63e8aef-0dcc-4da3-961c-a44abc494cb2 · outbound

This paper cites Open Policy Agent Documentation.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Open Policy Agent Documentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.487672Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b076bd39-16dc-44db-bdb6-ef0622c5dca8 · outbound

This paper cites Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.467615Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36c42f60-7e48-42f9-aa52-f2607889018c · outbound

This paper cites GOPAL: Governance Open Policy Agent Library for AI System Evaluations.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code GOPAL: Governance Open Policy Agent Library for AI System Evaluations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.448176Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec199ffe-87f7-48e4-8e40-91968b938a93 · outbound

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

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.433327Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ce9153c-f6de-4247-aa07-34229d5929b4 · outbound

This paper cites an unresolved cited work.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:26:54.416667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 911f9df6-488b-4741-9d87-ff27681510b0 · outbound

This paper cites Re-imagining Algorithmic Fairness in India and Beyond.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Re-imagining Algorithmic Fairness in India and Beyond

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.058557Z

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Observation b385bd80-f7b8-4fa4-b8b0-6fac6d0bc5d7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Proximal Policy Optimization Algorithms

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.065616Z

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Observation 16c3ad40-dfa6-426e-9308-7e77f3e7b1b3 · outbound

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

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.070700Z

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Unavailable: canonical work link unavailable.

Observation 5c26cbf3-529f-47ab-b7f6-9b5d8f13278e · outbound

This paper cites Susiddha AI Project: Dharmic Frameworks for AI Development.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Susiddha AI Project: Dharmic Frameworks for AI Development

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.399547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 841b2c01-0a83-46dc-b905-ae5f810e6df9 · outbound

This paper cites Varshney.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Varshney

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.080891Z

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Observation 0a6ddb81-80ca-40fd-8781-4fe238aa8792 · outbound

This paper cites On the Fairness of Causal Algorithmic Recourse.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code On the Fairness of Causal Algorithmic Recourse

Reference 43

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.198823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 611d6fb4-3e7b-439f-927d-a8a3be294c7f · outbound

This paper cites Machine Ethics: Creating an Ethical Intelligent Agent.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Machine Ethics: Creating an Ethical Intelligent Agent

Reference 44

Resolution: verified exact; doi, observed 2026-08-15T16:26:53.181323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ef44ee1-9582-49a2-993b-acf1684f6fa5 · outbound

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

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.100627Z

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Unavailable: canonical work link unavailable.

Observation 6011e29e-71e3-440b-ae73-55888d3890eb · outbound

This paper cites UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:26:53.630010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e31dfc4c-6f6e-4ced-9795-9e5d86379c3f · outbound

This paper cites Chemotactic motility-induced phase separation.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Chemotactic motility-induced phase separation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.111340Z

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Unavailable: canonical work link unavailable.

Observation aeb34150-c008-4bce-a39f-c5c9f64e5118 · outbound

This paper cites Adaptive Group Policy Optimization: Towards Stable Training and Enhanced Performance.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Adaptive Group Policy Optimization: Towards Stable Training and Enhanced Performance

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.117357Z

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Observation 6e052142-40ff-4270-a482-cb3d6643cbe3 · outbound

This paper cites Debate Helps Weak-to-Strong Generalization.

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Debate Helps Weak-to-Strong Generalization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.123046Z

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Observation b6f0452f-7794-49f0-bcf7-1e02412030ed · outbound

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

ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Understanding R1-Zero-Like Training: A Critical Perspective

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.128079Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 36f0ab0e-b25a-4e32-bc3b-6acc883ef9f3 · inbound

An Automated Framework for Cybersecurity Policy Compliance Assessment Against Security Control Standards cites this paper.

An Automated Framework for Cybersecurity Policy Compliance Assessment Against Security Control Standards ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code

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