Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:34:16.916502Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.28077.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T18:34:16.916502Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ee94d858-5421-4682-82c3-a23559e4b9df · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 1
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Observation 7df2fb86-6cf9-48a0-be5c-c82780243a82 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Reference 2
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Observation a32c7b37-bee2-4c78-b8b6-24cef68e4dd4 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Reference 3
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Unavailable: canonical work link unavailable.
Observation 6c9463d0-7674-4b14-a9dd-f3bc26f16570 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=
Reference 4
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Observation 14aee6da-2da9-4fad-91bb-3113ae3993e0 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Solving math word problems with process- and outcome-based feedback
Reference 5
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Observation 1c56aa36-1193-47d7-a31f-bd1ee28bc587 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models International Conference on Learning Representations , volume=
Reference 6
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Observation d84a5a00-0ef7-40d7-b9ed-d1377835d834 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 7
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Observation 9372ce85-4062-47f9-95b9-5cf3c9ee8cf9 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 8
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Observation 0eb60f74-2525-4ca9-8c0b-e77632b6d78e · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2503.17287 , year=
Reference 9
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Observation ca37b690-4ceb-4e53-ae49-edde598012af · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2506.06632 , year=
Reference 10
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Observation 0a8a76b7-c856-4144-b28d-37faf4bdbd3d · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 11
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Observation 289a2a56-fe04-43ac-b275-5f84b15ad33f · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=
Reference 12
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Observation 8ee3c5da-a7a6-4847-908b-478d56ff2296 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=
Reference 13
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Observation 3c403dbf-6adb-4157-a540-59103f6e1808 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2506.09016 , year=
Reference 14
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Observation fc198569-6ca4-40d5-8d9a-64be99f57b27 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=
Reference 15
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Observation b52d8413-a148-45ad-ab34-72fe9ba1f020 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=
Reference 16
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Observation 40a690dd-a4ba-4986-a1de-837b16f685a2 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.01037 , year=
Reference 17
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Observation beaf8e34-ed80-4f40-b8ec-d0e3c150a4e9 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V
Reference 18
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Observation 7664759a-5aad-40e4-ac54-d5d99cf95034 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2603.10887 , year=
Reference 19
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Observation e7859ec3-bd5e-4fa9-b6e5-85bd83eb83d5 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2505.14970 , year=
Reference 20
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Observation 219ee3bd-66fd-4a6e-b818-f9acd1b64784 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization
Reference 21
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Observation 7feb79b7-381a-45b2-a2b2-74882e15702d · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Reference 22
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Observation 86114a98-e6c7-46ad-a1dd-f63dee62c9d0 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 23
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Observation e0156dd9-cc2e-4105-80e1-e627ba5dc0ad · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.01135 , year=
Reference 24
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Observation 4780e41a-2fbe-47f2-9259-e700ea27a6f8 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Reference 25
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Unavailable: canonical work link unavailable.
Observation 8b97658a-80f3-4799-b633-69a077bdf0c0 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=
Reference 26
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Observation 80513b2a-6e96-44af-8c9f-329befdacf6f · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=
Reference 27
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Observation 384493e4-dca9-485f-8079-2331ece1a582 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=
Reference 29
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Observation e1a1c7b2-bb42-4c53-b45f-65048bdfc867 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 30
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Observation 56f891fd-6e39-4461-a27f-7c11a11c6262 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 31
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Observation 47b79656-782f-4d0a-8482-fdd822ed018b · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proximal Policy Optimization Algorithms
Reference 32
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Observation 8b18bc8a-04e0-40d8-90fe-cfa90cecffcf · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 33
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Observation c795dfb8-050d-491c-b845-83dfe8e78fed · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Training Verifiers to Solve Math Word Problems
Reference 34
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Observation 445ec05d-b607-4226-8c34-ea1472caefe7 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Qwen2.5-Coder Technical Report
Reference 35
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Observation c393f9dd-d3d5-4d12-8522-52f066401895 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 36
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Observation 4b6df2c4-0c3e-4557-b79e-f097d6227cf0 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Qwen2 Technical Report
Reference 37
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Observation 8d89896b-5cee-4170-8ded-6ee10197303b · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the Twentieth European Conference on Computer Systems , pages=
Reference 38
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Observation d5d7ce2d-c7b0-4319-a4af-eb6a78e456a0 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 29th symposium on operating systems principles , pages=
Reference 39
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Observation 7a2a8dc4-e919-4e6d-b89b-6a02fa74e4af · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset
Reference 40
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Observation 89006e4d-2fee-42f2-8c76-7eb7a2fc09a3 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=
Reference 41
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Observation ee8b2bc1-946f-4e64-83e3-cfecdb9b6b66 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 42
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Observation bb76a247-688f-4957-9cb6-daf45fedd8fc · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Hugging Face repository , volume=
Reference 43
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Observation 12485ec5-04ea-4473-881a-ebc797ba9586 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2509.10625 , year=
Reference 44
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Observation 17b49c01-62bb-4123-b649-65b6ef731d72 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 45
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Observation c168a90c-f079-443c-be8f-4ee72eb3c1e4 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 46
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Observation ea0de988-f89d-4450-b14f-dd4983d2e48f · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 47
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Observation 951ce4ef-14d2-45d6-927c-48d7333fb873 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2509.24711 , year=
Reference 48
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Observation 8c023dc8-96d0-4b3e-bc8c-2727fa810f45 · outbound
LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.26374 , year=
Reference 49
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No inbound Pith citation observations are available.