Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T05:31:55.864438Z
Paper Citation Record · LEDGER
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 74 inbound Pith citation observations for arXiv:2601.05242.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:57:53.701026Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
46 of 46 outbound references displayed
- verified exact28
- verified fuzzy14
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 6db48e9a-15f4-4c36-8b2f-f582bbe38f7d · outbound
This paper cites Learn to Reason Efficiently with Adaptive Length-based Reward Shaping.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:55.906712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 98645355-1915-40ff-b637-5116521dd9aa · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.913738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e9050e69-1f99-44df-aa7c-b1d83dad6a32 · outbound
This paper cites Rule based rewards for language model safety.Advances in Neural Information Processing Systems, 37:108877–108901.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Rule based rewards for language model safety.Advances in Neural Information Processing Systems, 37:108877–108901
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.106902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 06a78541-2ff2-4350-bb66-443d8c281e9d · outbound
This paper cites Grpo-care: Consistency- aware reinforcement learning for multimodal reasoning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Grpo-care: Consistency- aware reinforcement learning for multimodal reasoning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.111856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a391917-9599-4436-b4e9-948ba9e4c19c · outbound
This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.042488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ed488f19-4333-4581-beb7-800f1b83b99a · outbound
This paper cites Genderalign: An alignment dataset for mitigating gender bias in large language models.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Genderalign: An alignment dataset for mitigating gender bias in large language models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.122088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38b085b1-8e2d-4d99-81c2-5aa958f76739 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.049954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6f3fef15-f1c2-41a8-b637-901c74538654 · outbound
This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.056480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9b95cd5d-4473-4670-aa64-826cd34163cc · outbound
This paper cites Proximal Policy Optimization Algorithms.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Proximal Policy Optimization Algorithms
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.062395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df9af16d-d487-48f9-928b-8c01186f69a1 · outbound
This paper cites ToolRL: Reward is All Tool Learning Needs.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization ToolRL: Reward is All Tool Learning Needs
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.068850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2409a2b5-9084-43ab-b4ce-af93af0edb0f · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Understanding R1-Zero-Like Training: A Critical Perspective
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.074559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e80133ac-8ee3-4a92-8171-df8c1e65c19a · outbound
This paper cites ToolACE: Winning the Points of LLM Function Calling.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization ToolACE: Winning the Points of LLM Function Calling
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.080671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 242b7515-f9f1-49ed-94c7-38bfeb578881 · outbound
This paper cites Hammer: Robust function-calling for on-device language models via function masking.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Hammer: Robust function-calling for on-device language models via function masking
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.088678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 04c557e9-7884-4102-bb50-8ebe3fb154e0 · outbound
This paper cites xlam: A family of large action models to empower ai agent systems.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization xlam: A family of large action models to empower ai agent systems
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.165210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cdd56d70-f0f5-4d42-9f29-4cf4218f59ef · outbound
This paper cites Qwen2.5 technical report.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Qwen2.5 technical report
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.170294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f57370dc-2a75-47a3-b204-03f02f21e24b · outbound
This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization HybridFlow: A Flexible and Efficient RLHF Framework
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.094169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a920fd8-6ceb-4f85-b353-2bf3c7d5806f · outbound
This paper cites The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.179757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2f7704fc-3149-410a-81a8-a48fdef83944 · outbound
This paper cites Qwen3 Technical Report.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Qwen3 Technical Report
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.100665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 033c03fb-2b0d-44ca-8f17-a6b1bf6c59f0 · outbound
This paper cites an unresolved cited work.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:31:56.189029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9f051c1a-1581-4354-82fb-04c0e28b1265 · outbound
This paper cites American invitational mathematics examination - aime.In American Invitational Mathematics Examination - AIME 2024.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization American invitational mathematics examination - aime.In American Invitational Mathematics Examination - AIME 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.116947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 09c8627f-0971-4f0c-a6fe-bfe27007e94d · outbound
This paper cites American invitational mathematics examination - amc.In American Invitational Mathematics Examination - AMC.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization American invitational mathematics examination - amc.In American Invitational Mathematics Examination - AMC
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.126711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f407a6ab-91ef-4afc-89ac-98017634d462 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Measuring Mathematical Problem Solving With the MATH Dataset
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.920604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 03b2a86f-642e-497c-84f0-780900f95b91 · outbound
This paper cites Solving quantitative reasoning problems with language models.Advances in neural information processing systems, 35:3843–3857.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Solving quantitative reasoning problems with language models.Advances in neural information processing systems, 35:3843–3857
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.140030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f8d4a327-e825-4350-965a-d96811a0614f · outbound
This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.928839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a8543c89-6cde-49c1-98c4-33b94bd3428b · outbound
This paper cites Process Reinforcement through Implicit Rewards.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Process Reinforcement through Implicit Rewards
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.936117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 51b9b410-57c9-4054-84c8-d173c5f2972f · outbound
This paper cites Measuring Coding Challenge Competence With APPS.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Measuring Coding Challenge Competence With APPS
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.942554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42a6f5dd-d969-4846-8c27-afdf53712567 · outbound
This paper cites Competition-level code generation with alphacode.Science, 378(6624):1092–1097.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Competition-level code generation with alphacode.Science, 378(6624):1092–1097
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.160213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69f1b680-8e02-4369-9eeb-fa7e214222ba · outbound
This paper cites TACO: Topics in Algorithmic COde generation dataset.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization TACO: Topics in Algorithmic COde generation dataset
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:55.949971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a2a8774-33e8-46c5-bcb4-130998ac44ad · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.957074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e188b9f-9df5-4567-8c83-33dd08db7df0 · outbound
This paper cites Group Sequence Policy Optimization.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Group Sequence Policy Optimization
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.963435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ece9e33-3cad-40c4-86b3-079318eeae4d · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.970172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 639e8c14-3980-4fb4-a234-08fec123b9f1 · outbound
This paper cites Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:55.977831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d2b32c19-8c2a-4eef-8563-03b99e8c74bd · outbound
This paper cites DLER: Doing length penalty right – incentivizing more intelligence per token via reinforcement learning.arXiv preprint arXiv:2510.15110.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DLER: Doing length penalty right – incentivizing more intelligence per token via reinforcement learning.arXiv preprint arXiv:2510.15110
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:55.984403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a6cb3e7-3953-4541-a511-8a7a39c5ae88 · outbound
This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Safe RLHF: Safe Reinforcement Learning from Human Feedback
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:55.991381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1368f7b9-ca5c-4869-9a8a-610a1ad1915c · outbound
This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:55.998279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f004d14b-2ee9-4297-aab5-2fd59480b0cd · outbound
This paper cites Alarm: Align language models via hierarchical rewards modeling.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Alarm: Align language models via hierarchical rewards modeling
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.134533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e40f7de6-08a5-470b-ae19-82c9688f6ad7 · outbound
This paper cites an unresolved cited work.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T05:31:56.144847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2fe4f056-f9d2-4b09-aae9-940072415879 · outbound
This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.006812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df8e3d1b-6163-434b-bc98-6f5aefa008f6 · outbound
This paper cites Training language models to reason efficiently.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Training language models to reason efficiently
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.014140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 623a3f8b-50b5-4736-ba2f-d0a0329aa0fd · outbound
This paper cites Shorterbetter: Guiding reasoning models to find optimal inference length for efficient reasoning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Shorterbetter: Guiding reasoning models to find optimal inference length for efficient reasoning
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.021874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ff693d59-b172-4e5b-a32a-fe37107681d4 · outbound
This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:19:22.325854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 56fffa5f-907e-49f8-a5be-9506a292801d · outbound
This paper cites Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.036833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4462bb69-b228-49e2-b8ed-655ed551cd64 · outbound
This paper cites name”: “Tool name.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization name”: “Tool name
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.155044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation edbdaf2a-ca9b-4571-96ce-326e1a5fd59f · outbound
This paper cites Provide at least one of <tool_call> or <response>.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Provide at least one of <tool_call> or <response>
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.174769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d4725689-072e-429a-96c7-dd007c65aacb · outbound
This paper cites name” field and a “parameters.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization name” field and a “parameters
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T05:31:56.184654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f5d41f42-55fa-4189-8c08-eec6f960f937 · outbound
This paper cites an unresolved cited work.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Unresolved cited work
Reference 49
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-15T05:31:56.150053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 756b415a-fac6-475c-a928-5c0b93d09dbc · inbound
Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework cites this paper.
Real-Time Hardware-Free HIFU Interference Suppression via Teacher-Student Diffusion Framework GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:30:58.223702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ae3d4ec-5dae-4916-b904-92d217142dcb · inbound
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T03:12:22.352863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b765e8bd-e92c-4454-a086-c2147b294638 · inbound
Spatiotemporal Continual Learning for Mobile Edge UAV Networks: Mitigating Catastrophic Forgetting cites this paper.
Spatiotemporal Continual Learning for Mobile Edge UAV Networks: Mitigating Catastrophic Forgetting GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:40:48.910497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e380dba4-12c8-41f6-94d7-c2c62ee88766 · inbound
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:17:27.504798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2decc221-ac9f-49fc-b4dc-8aa7d8a64757 · inbound
SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems cites this paper.
SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:10:40.676299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ae12815-035b-41c9-8bc9-ecd39067c914 · inbound
SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search cites this paper.
SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:34:59.197748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ab570eb-3ded-4986-8413-b22c95dddac7 · inbound
TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration cites this paper.
TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:50:50.552104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cad6fa33-eb62-42db-ae54-8afd890265f4 · inbound
HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving cites this paper.
HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T12:58:58.057084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31c6e195-efff-4d38-8380-3ebe6d7ef01d · inbound
Target Policy Optimization cites this paper.
Target Policy Optimization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91013a7c-3150-4123-b73f-20a5cc6ad4ec · inbound
EasyVideoR1: Easier RL for Video Understanding cites this paper.
EasyVideoR1: Easier RL for Video Understanding GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 419c69a7-8e32-4422-a630-cdcfce22a5d6 · inbound
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models cites this paper.
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6d3afc50-cc49-44d5-8f5c-60079f14a76b · inbound
LASER: Learning Active Sensing for Continuum Field Reconstruction cites this paper.
LASER: Learning Active Sensing for Continuum Field Reconstruction GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0e7e998a-d4b1-4d97-904a-c8028c083c3b · inbound
LASER: Learning Active Sensing for Continuum Field Reconstruction cites this paper.
LASER: Learning Active Sensing for Continuum Field Reconstruction GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T08:30:53.002288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a73cf345-a0b9-4e67-b8c3-fe8e89420450 · inbound
AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards cites this paper.
AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c290574-c2b5-4415-823e-fc33590f1616 · inbound
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0df11c5-c6e9-48c4-98c3-9f707f9547c9 · inbound
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:26:14.136231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecf9a142-5195-43a7-a4b7-01ca095de9e6 · inbound
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9fd3a95b-8c5f-49cf-ada2-17da193727e2 · inbound
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T08:19:52.648398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a42b4f71-db54-4435-bbf6-d31c03f57ee6 · inbound
Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis cites this paper.
Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e828cad4-e01a-4dd7-871a-04f5f38d6f66 · inbound
RVPO: Risk-Sensitive Alignment via Variance Regularization cites this paper.
RVPO: Risk-Sensitive Alignment via Variance Regularization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 314fdb32-8343-4a63-9f61-48325ea1d40e · inbound
Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients cites this paper.
Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c3a0b8f1-76a3-4943-8dda-e27bc9f73d8d · inbound
Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.
Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dec8714c-c459-440e-af63-b17846014260 · inbound
Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair cites this paper.
Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b86a72f0-c157-48e4-b015-4bf978b8cf12 · inbound
BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning cites this paper.
BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 579ec141-6ada-49da-ac25-7be3f7e63d2f · inbound
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models cites this paper.
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation afd2f9c9-da37-4372-ab6b-b9f41bd8a7ce · inbound
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading cites this paper.
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a8795d1d-3643-44ca-b74a-161beaf87c63 · inbound
PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning cites this paper.
PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2532e26e-3f01-4db6-909d-58dce24a829a · inbound
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging cites this paper.
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7649c6d4-b12b-4472-934c-3e8720022b87 · inbound
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization cites this paper.
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1f25d252-ab46-4924-a118-18dae3533de2 · inbound
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:31:56.190613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 332a722f-8f81-487c-af95-163ff3f03bbd · inbound
Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target cites this paper.
Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 18
- Resolution
- malformed identifier
- local_arxiv, observed 2026-05-20T14:18:21.446022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8410e56d-cc67-4eb0-a5a7-d1f1bbebb74f · inbound
Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR cites this paper.
Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T05:03:03.550716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fd05c426-13db-4602-8a4c-27135cbc2e9f · inbound
REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak cites this paper.
REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T06:19:41.937876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eb2202f9-567a-4391-9d3d-71bbc11e88df · inbound
DepthAgent: Towards Better Universal Depth Estimation via Sample-wise Expert Selection cites this paper.
DepthAgent: Towards Better Universal Depth Estimation via Sample-wise Expert Selection GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:30:19.865498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aa991f04-88ca-42f9-ad4f-2b0934d6c9e5 · inbound
Harmony in Diversity: Multi-domain Contrastive Policy Optimization for Large Reasoning Models cites this paper.
Harmony in Diversity: Multi-domain Contrastive Policy Optimization for Large Reasoning Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:24:00.427611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9a425fd3-0c6f-422f-8a3e-f3c3e99c8355 · inbound
CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents cites this paper.
CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T21:53:59.318824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d750f5b7-4775-485f-8675-09b1042e36e7 · inbound
APE: Agentic Prompt Enhancer for Image Generation and Editing cites this paper.
APE: Agentic Prompt Enhancer for Image Generation and Editing GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:02:46.693518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c430fc96-1c4a-42ce-980c-145aa79a3982 · inbound
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T19:02:34.057899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4c25ea9a-6e08-40ba-a01c-ad13555f3673 · inbound
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills cites this paper.
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T19:47:19.966898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation acf14a0f-0a73-4baa-aec8-9768f1748718 · inbound
ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning cites this paper.
ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 34
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T21:07:23.875133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d2e61737-9652-43b1-a6b3-f07670e7865f · inbound
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO cites this paper.
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T05:27:39.778455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ee104ebc-bcec-4998-a31f-4cc87155e90e · inbound
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO cites this paper.
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:54:45.594653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 776c23a1-4bd0-4ab8-8a5f-c5953a6d375d · inbound
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models cites this paper.
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T03:57:38.713059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 43be9fb9-a16a-4356-afee-f3671210174d · inbound
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models cites this paper.
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T10:54:36.275829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 063e3d13-47bb-489c-9bf6-cfbafbad0576 · inbound
Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models cites this paper.
Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T13:20:57.362956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad7b8ad7-8902-4870-9053-e2d5accc0660 · inbound
DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models cites this paper.
DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T18:28:48.894727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0aa6f82d-6ef2-4736-9625-bb22cdbf692e · inbound
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T20:48:56.134917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b381c90d-44ed-4f2d-874d-647402c74b37 · inbound
ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL cites this paper.
ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:19:13.532151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e87097d-e921-4943-94b8-b5255ecbeeea · inbound
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T06:29:37.817747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0bbf67cd-b306-4aec-8879-54cb24cae39b · inbound
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T23:19:02.328520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86d15dec-f82c-43a5-9b4d-b8afaf7f053c · inbound
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 120
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:09:40.651987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c6844963-29d2-4bb7-b6cb-c8d0b251f8e9 · inbound
Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale cites this paper.
Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:20:07.231762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 50c3f134-735c-4433-a934-a630ec25c35a · inbound
Scaling Multi-Reference Image Generation with Dynamic Reward Optimization cites this paper.
Scaling Multi-Reference Image Generation with Dynamic Reward Optimization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T13:39:50.262046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b4df026d-1a6d-4169-b402-ea447b561c76 · inbound
Qwen-Image-2.0-RL Technical Report cites this paper.
Qwen-Image-2.0-RL Technical Report GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T19:06:02.841539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 22060474-f3aa-4c8a-af79-5bb78a40b770 · inbound
Which Tokens Matter? Adaptive Token Selection for RLVR with the Relative Surprisal Index cites this paper.
Which Tokens Matter? Adaptive Token Selection for RLVR with the Relative Surprisal Index GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:25:42.399885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c8456204-8654-4122-b66c-c2548f31fcae · inbound
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist cites this paper.
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:45:42.054069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 03ca1633-f4ab-4994-81b7-0608bac1dbe4 · inbound
Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning cites this paper.
Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T13:26:58.475026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c52bfc50-600d-4071-9ee1-3ce319ec6ee1 · inbound
World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments cites this paper.
World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T20:18:55.849272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 067ffb3f-8381-4700-9906-be33b54cbd13 · inbound
TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B cites this paper.
TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T15:18:32.915329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e5e5603-4bdb-422c-b1c4-72f21a964894 · inbound
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment cites this paper.
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T03:14:31.674801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 11334e03-e355-4ae6-924e-e86d06c2c4c8 · inbound
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence cites this paper.
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:05:55.271067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8049c65-21f1-4c5a-878c-252c59991c2f · inbound
Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering cites this paper.
Summary of DCASE 2026 Task 5: Audio-Dependent Question Answering GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:37:32.540554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e26078-28c1-476d-81af-d8a08b4a3e21 · inbound
The Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and The Channel, Not the Content, Decides What Works cites this paper.
The Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and The Channel, Not the Content, Decides What Works GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:01:22.671613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf67799-577a-4114-afb6-2495a684fd25 · inbound
Test-Time Scaling via Error Localization cites this paper.
Test-Time Scaling via Error Localization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:28:17.804777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b357547-316a-48f5-a73c-4ec5b56ddc10 · inbound
CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization cites this paper.
CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:52:02.477551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8b4066c-9a62-4e75-9310-a28ca5601676 · inbound
HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models cites this paper.
HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:11:20.934737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4465a515-2790-4087-a521-d354a93bb977 · inbound
A Formalism-Aware Reward Loop for Handwritten UML-to-PlantUML Generation cites this paper.
A Formalism-Aware Reward Loop for Handwritten UML-to-PlantUML Generation GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:58:06.400280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91e8983d-011f-4b77-9d09-18d24677f944 · inbound
Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL cites this paper.
Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:57:57.281195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bc3d340-d0ad-46f6-886e-05ad422f23b4 · inbound
SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation cites this paper.
SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:57:53.701026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b293e87d-f5db-43d3-bbab-abb4f9fe0c65 · inbound
Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence cites this paper.
Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:04:21.686902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6883944a-b635-4ce0-836c-bbb1f219f393 · inbound
Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipulation cites this paper.
Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipulation GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:38:21.946354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c6746d9-388b-4d77-992a-e3c437860635 · inbound
SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning cites this paper.
SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:24:49.633399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16f86c57-e7c9-4d71-9c00-ed02c5ebba99 · inbound
Conversational Orchestration for Organic 6G cites this paper.
Conversational Orchestration for Organic 6G GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:51:39.915223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bd78f97-a4eb-41da-9db7-a23278644693 · inbound
FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding cites this paper.
FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:56:48.463595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.