Risk-aware Direct Preference Optimization under Nested Risk Measure | Paper Citation Record

Observation 266962d9-0de5-4335-907b-edde5bb7c2c1 · outbound

This paper cites Deep reinforcement learning from human preferences.

Risk-aware Direct Preference Optimization under Nested Risk Measure Deep reinforcement learning from human preferences

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:32.477197Z

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Observation 285f0b01-dcc3-4a49-b6fc-1ed7e24fb668 · outbound

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

Risk-aware Direct Preference Optimization under Nested Risk Measure Training language models to follow instructions with human feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:32.298990Z

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Observation 38a75ca1-948a-406c-81f7-5adadf20053f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Risk-aware Direct Preference Optimization under Nested Risk Measure Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 3

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Observation 3b4f0662-34d9-4000-b1e0-c93c88229940 · outbound

This paper cites Preference ranking optimization for human alignment.

Risk-aware Direct Preference Optimization under Nested Risk Measure Preference ranking optimization for human alignment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:32.168523Z

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Observation 56a70f41-33c8-4d05-b0b9-dac4aa0d49bd · outbound

This paper cites Direct preference optimization: your language model is secretly a reward model.

Risk-aware Direct Preference Optimization under Nested Risk Measure Direct preference optimization: your language model is secretly a reward model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.995327Z

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Observation 28c46a98-b358-433f-b7ed-3b179786fa5f · outbound

This paper cites Beyond reverse kl: Generalizing direct preference optimization with diverse divergence constraints.

Risk-aware Direct Preference Optimization under Nested Risk Measure Beyond reverse kl: Generalizing direct preference optimization with diverse divergence constraints

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.866830Z

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Observation 4694cf76-44d0-485d-b000-c4f32623e342 · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences.

Risk-aware Direct Preference Optimization under Nested Risk Measure A general theoretical paradigm to understand learning from human preferences

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.742338Z

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Observation 1acd4098-80ed-4623-bbf1-898a97b2c34f · outbound

This paper cites Robust Preference Optimization through Reward Model Distillation.

Risk-aware Direct Preference Optimization under Nested Risk Measure Robust Preference Optimization through Reward Model Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:19.345978Z

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Observation 6748e5cc-8e5e-46e6-8f2f-fd9d81909661 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Risk-aware Direct Preference Optimization under Nested Risk Measure SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:19.460292Z

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Observation 2e749cdd-98e1-442a-bcbc-3b0a56471f0e · outbound

This paper cites Token- level direct preference optimization.

Risk-aware Direct Preference Optimization under Nested Risk Measure Token- level direct preference optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.639826Z

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Observation 628382ae-80bc-4de9-9d04-301eec9e6575 · outbound

This paper cites Trust region policy optimization.

Risk-aware Direct Preference Optimization under Nested Risk Measure Trust region policy optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:19.714328Z

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Observation 41a12a3d-99c1-43a9-a0e0-857624ca58b5 · outbound

This paper cites Deep reinforcement learning: A brief survey.

Risk-aware Direct Preference Optimization under Nested Risk Measure Deep reinforcement learning: A brief survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:19.881577Z

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Observation f60c15d1-a973-4088-a52a-b246dcbf9a86 · outbound

This paper cites An introduction to deep reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure An introduction to deep reinforcement learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:20.030535Z

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Observation 019c4f99-7a71-4f5d-a89f-f18fe1d21e10 · outbound

This paper cites Robust risk-aware reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure Robust risk-aware reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.441474Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1b1f053-a824-4fc5-94cc-ebf63d3cfc0a · outbound

This paper cites Risk-averse policy optimization via risk-neutral policy optimization.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-averse policy optimization via risk-neutral policy optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.321843Z

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Observation 80b1104b-33e1-4da0-baa3-3799545f81f0 · outbound

This paper cites Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.198241Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61e19d94-d1c2-4b6f-996d-c09147e1a57b · outbound

This paper cites Risk-averse fine-tuning of large language models.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-averse fine-tuning of large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:31.091831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c2fec67-6fc3-4b51-8f77-c14aac02b2ad · outbound

This paper cites Model alignment as prospect theoretic optimization.

Risk-aware Direct Preference Optimization under Nested Risk Measure Model alignment as prospect theoretic optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.986076Z

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Observation 267f7619-4325-47a3-afdf-2820c0c843b5 · outbound

This paper cites Advances in prospect theory: Cumulative representation of uncertainty.

Risk-aware Direct Preference Optimization under Nested Risk Measure Advances in prospect theory: Cumulative representation of uncertainty

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.894237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8eb6289a-eb4e-4873-8a7c-3bcf57af824f · outbound

This paper cites Rank analysis of incomplete block designs: I.

Risk-aware Direct Preference Optimization under Nested Risk Measure Rank analysis of incomplete block designs: I

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:21.101329Z

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Observation 046ef407-7718-4744-9e95-3dce0d99a81c · outbound

This paper cites More risk-sensitive markov decision processes.

Risk-aware Direct Preference Optimization under Nested Risk Measure More risk-sensitive markov decision processes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.669560Z

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Observation 3408fba7-558e-4add-ac04-21632c2eb58d · outbound

This paper cites Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control.Artificial Intelligence, 311:103743, 2022.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control.Artificial Intelligence, 311:103743, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.518194Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 969f46a1-2a6a-4576-a4bc-d0fe256675c2 · outbound

This paper cites Thinking coherently.

Risk-aware Direct Preference Optimization under Nested Risk Measure Thinking coherently

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.345849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aad407c8-9b36-4909-b2f0-22888e191e79 · outbound

This paper cites Optimization of conditional value-at-risk.

Risk-aware Direct Preference Optimization under Nested Risk Measure Optimization of conditional value-at-risk

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.213248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5677c95c-c45a-4d81-be50-685ee6e45259 · outbound

This paper cites Risk-sensitive and robust decision- making: a cvar optimization approach.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-sensitive and robust decision- making: a cvar optimization approach

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:30.125316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27664587-af4a-4cd0-a591-f7eb4d4d4d58 · outbound

This paper cites Convex measures of risk and trading constraints.

Risk-aware Direct Preference Optimization under Nested Risk Measure Convex measures of risk and trading constraints

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:29.998074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e883111d-e3b5-471a-8f7c-9a8adbfd4799 · outbound

This paper cites Entropic risk optimization in discounted mdps.

Risk-aware Direct Preference Optimization under Nested Risk Measure Entropic risk optimization in discounted mdps

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:29.757999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5116fd70-e7fd-46bc-867a-ba14c3ef4064 · outbound

This paper cites Risk-sensitive reinforcement learning: Near-optimal risk-sample tradeoff in regret.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-sensitive reinforcement learning: Near-optimal risk-sample tradeoff in regret

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:29.466612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8f48a59-0ae5-4b6f-ab37-d8db67b42722 · outbound

This paper cites Provably efficient iterated cvar reinforcement learning with function approximation and human feedback.

Risk-aware Direct Preference Optimization under Nested Risk Measure Provably efficient iterated cvar reinforcement learning with function approximation and human feedback

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:29.226939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd7353c2-64ae-46b7-a2db-1cba3c3a5c81 · outbound

This paper cites Ra-pbrl: Provably efficient risk-aware preference-based reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure Ra-pbrl: Provably efficient risk-aware preference-based reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:28.987173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbc31907-6796-4714-a501-2f634b0f1df0 · outbound

This paper cites Entropic risk optimization in discounted mdps.

Risk-aware Direct Preference Optimization under Nested Risk Measure Entropic risk optimization in discounted mdps

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:28.709483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04727585-b3ef-4b86-8cdd-c5b37b83ca81 · outbound

This paper cites Learning word vectors for sentiment analysis.

Risk-aware Direct Preference Optimization under Nested Risk Measure Learning word vectors for sentiment analysis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:28.435952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4818b965-e2b0-4826-922e-1f8e6ca1a900 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Risk-aware Direct Preference Optimization under Nested Risk Measure Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.071225Z

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Observation 990f0832-084c-4bab-a0aa-4bfc1ec7618d · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Risk-aware Direct Preference Optimization under Nested Risk Measure Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.175187Z

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Observation afc58c1c-08da-478c-b814-543f0ef3790d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Risk-aware Direct Preference Optimization under Nested Risk Measure Proximal Policy Optimization Algorithms

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.269080Z

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Unavailable: canonical work link unavailable.

Observation edd5acce-2221-4fbe-98e5-61ef5cb0f7a9 · outbound

This paper cites Language models are unsupervised multitask learners.

Risk-aware Direct Preference Optimization under Nested Risk Measure Language models are unsupervised multitask learners

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.384512Z

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Observation 55b57b8d-0628-4271-910d-60cdb8250eb7 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

Risk-aware Direct Preference Optimization under Nested Risk Measure Pythia: A suite for analyzing large language models across training and scaling

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:28.157463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be60ffa7-ae5f-4129-a599-cc034230db8d · outbound

This paper cites Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment.

Risk-aware Direct Preference Optimization under Nested Risk Measure Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.576261Z

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Observation 2c902023-c0ca-42ef-9ffb-bd7900bc5260 · outbound

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

Risk-aware Direct Preference Optimization under Nested Risk Measure Safe rlhf: Safe reinforcement learning from human feedback

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:27.953097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c888fa5-67c1-4b57-a5eb-a607d4ba7166 · outbound

This paper cites Challenges and Future Directions of Data-Centric AI Alignment.

Risk-aware Direct Preference Optimization under Nested Risk Measure Challenges and Future Directions of Data-Centric AI Alignment

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.733585Z

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Unavailable: canonical work link unavailable.

Observation 9f732037-9151-42d8-9766-eab794e6bd58 · outbound

This paper cites Fine-grained human feedback gives better rewards for language model training.

Risk-aware Direct Preference Optimization under Nested Risk Measure Fine-grained human feedback gives better rewards for language model training

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:27.782998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 453b2863-17e6-4044-a57b-42e25ce55c33 · outbound

This paper cites Token-level Proximal Policy Optimization for Query Generation.

Risk-aware Direct Preference Optimization under Nested Risk Measure Token-level Proximal Policy Optimization for Query Generation

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:15:24.647583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 210d9d09-36b8-4659-8815-dbd3d517a8d3 · outbound

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

Risk-aware Direct Preference Optimization under Nested Risk Measure DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.914266Z

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Unavailable: canonical work link unavailable.

Observation f9ed9aca-f69c-4703-b401-a43c91b3fe3b · outbound

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

Risk-aware Direct Preference Optimization under Nested Risk Measure DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:22.964183Z

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Observation 27b7eca0-57dd-41bb-95bf-66977aa009c7 · outbound

This paper cites Rusu, Joel Veness, Marc G.

Risk-aware Direct Preference Optimization under Nested Risk Measure Rusu, Joel Veness, Marc G

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:23.064520Z

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Unavailable: canonical work link unavailable.

Observation 3d8eee37-33f2-4a77-85b6-1be95e1961b7 · outbound

This paper cites Reinforcement learning in robotic applications: a comprehensive survey.

Risk-aware Direct Preference Optimization under Nested Risk Measure Reinforcement learning in robotic applications: a comprehensive survey

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:23.142797Z

Source-reported events for the cited work

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Observation f0221ff5-480a-474c-bdda-4bbdfb0f7627 · outbound

This paper cites A review of safe reinforcement learning: Methods, theory and applications.

Risk-aware Direct Preference Optimization under Nested Risk Measure A review of safe reinforcement learning: Methods, theory and applications

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:27.602650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f82a1cbf-d09e-4721-af42-baa7dbf92d6b · outbound

This paper cites Risk-sensitive reinforcement learning with function approximation: A debiasing approach.

Risk-aware Direct Preference Optimization under Nested Risk Measure Risk-sensitive reinforcement learning with function approximation: A debiasing approach

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:27.480888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24df7347-0acc-4d65-a3b6-311d8275634b · outbound

This paper cites Regret bounds for risk- sensitive reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure Regret bounds for risk- sensitive reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:27.245057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f58e3802-5610-4ee6-9723-da7b420fa2a6 · outbound

This paper cites Near-minimax-optimal risk-sensitive reinforce- ment learning with cvar.

Risk-aware Direct Preference Optimization under Nested Risk Measure Near-minimax-optimal risk-sensitive reinforce- ment learning with cvar

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:26.980660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af5d9855-4ba9-46ce-b257-88718fb48075 · outbound

This paper cites Provably efficient risk-sensitive reinforcement learning: Iterated cvar and worst path.

Risk-aware Direct Preference Optimization under Nested Risk Measure Provably efficient risk-sensitive reinforcement learning: Iterated cvar and worst path

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:26.734868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70dc62a2-eda3-4005-b2a4-3df23f485650 · outbound

This paper cites Group robust preference optimization in reward-free rlhf.

Risk-aware Direct Preference Optimization under Nested Risk Measure Group robust preference optimization in reward-free rlhf

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:26.458476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3073a4cc-e426-48f6-bd5f-f2bedbe07e9e · outbound

This paper cites Preference learning of latent decision utilities with a human-like model of preferential choice.

Risk-aware Direct Preference Optimization under Nested Risk Measure Preference learning of latent decision utilities with a human-like model of preferential choice

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:26.197413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8f11223-2e07-44ab-b68a-84d7639b6110 · outbound

This paper cites Robust reinforcement learning.

Risk-aware Direct Preference Optimization under Nested Risk Measure Robust reinforcement learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:23.965754Z

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Observation c9c72cd9-3543-43cf-8eb5-39307002d122 · outbound

This paper cites Hamilton–jacobi reachability: Some recent theoretical advances and applications in unmanned airspace management.

Risk-aware Direct Preference Optimization under Nested Risk Measure Hamilton–jacobi reachability: Some recent theoretical advances and applications in unmanned airspace management

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.942242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c25ac1db-d5b9-4181-a928-fc07e0521b8a · outbound

This paper cites Coherent measures of risk.

Risk-aware Direct Preference Optimization under Nested Risk Measure Coherent measures of risk

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.638808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b01fe23-d627-4dd6-9598-e16e97fe3144 · outbound

This paper cites Equivalence notions and model minimization in markov decision processes.

Risk-aware Direct Preference Optimization under Nested Risk Measure Equivalence notions and model minimization in markov decision processes

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.411257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db018505-bb46-4dd5-8dd1-cfeeb1fe5048 · outbound

This paper cites Learning markov network structure with decision trees.

Risk-aware Direct Preference Optimization under Nested Risk Measure Learning markov network structure with decision trees

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.250218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 459a203a-5ae4-4887-83ed-acbff5a8a225 · outbound

This paper cites ∞X t=1 γt−1 R x, y<t , yt + γ Φµ ˜Vπ x, y<t+1 − ˜Vπ([x]) # =Eτ |π′.

Risk-aware Direct Preference Optimization under Nested Risk Measure ∞X t=1 γt−1 R x, y<t , yt + γ Φµ ˜Vπ x, y<t+1 − ˜Vπ([x]) # =Eτ |π′

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.040781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers