Pith. sign in

Paper Citation Record · LEDGER

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models

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.

pith.paper-citation-record.v1
2607.28077 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T18:34:16.916502Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee94d858-5421-4682-82c3-a23559e4b9df · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.344258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.344258Z digest=sha256:f9e0af8ef28a711a68a7725c9eb6d457fa45c5c0f96c3d66b290ea310aef6750

Observation 7df2fb86-6cf9-48a0-be5c-c82780243a82 · outbound

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.348704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.348704Z digest=sha256:d3cdca3b5d6f70fdf88034cb7569f7000788fe18fc19aeee3fe27ce8df2f7cbb

Observation a32c7b37-bee2-4c78-b8b6-24cef68e4dd4 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.352742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.352742Z digest=sha256:a58453b8f6fe41916ce1640394b54453f8b0d222246746cf8edafcd2e7dde70e

Observation 6c9463d0-7674-4b14-a9dd-f3bc26f16570 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.356595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.356595Z digest=sha256:9afab705e42104ea88f4d8d594223bbbdd54725be216bc0456110638c788b111

Observation 14aee6da-2da9-4fad-91bb-3113ae3993e0 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.360171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.360171Z digest=sha256:7b3efbeb76fc226765b062ca6e81c0ac2546da27881057bf60ebeb96df1fb631

Observation 1c56aa36-1193-47d7-a31f-bd1ee28bc587 · outbound

This paper cites International Conference on Learning Representations , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models International Conference on Learning Representations , volume=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.363889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.363889Z digest=sha256:237076808f9921ed065390e7df52bff9ad1e9527f99b6963bc4c8fc296361c54

Observation d84a5a00-0ef7-40d7-b9ed-d1377835d834 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.367599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.367599Z digest=sha256:2c4803231381acdaabccb7f4f2ed9def1e8b6c8578e3d0a45f12b94b53682434

Observation 9372ce85-4062-47f9-95b9-5cf3c9ee8cf9 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.370624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.370624Z digest=sha256:eb6c34ea5d47c9e52792ff61d9e10e83f360e8d463ddf307cc819e0640045bc2

Observation 0eb60f74-2525-4ca9-8c0b-e77632b6d78e · outbound

This paper cites arXiv preprint arXiv:2503.17287 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2503.17287 , year=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.374288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.374288Z digest=sha256:9021e84b41ff4e84588b8bc004ce8b58598fe2eeecc5d84885b8c1ac15ef1b5b

Observation ca37b690-4ceb-4e53-ae49-edde598012af · outbound

This paper cites arXiv preprint arXiv:2506.06632 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2506.06632 , year=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.377439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.377439Z digest=sha256:ad95937468ec38e1728cae036e9bf3c27adb3fd94936ed820d9dc0c8927616ba

Observation 0a8a76b7-c856-4144-b28d-37faf4bdbd3d · outbound

This paper cites Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.380404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.380404Z digest=sha256:43d7fb05b5f9dd4c01c711fe8f9c62637d6150b806ac247c805df32818dc23c1

Observation 289a2a56-fe04-43ac-b275-5f84b15ad33f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.383443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.383443Z digest=sha256:56a4cbd0d2f49d48bebf999f3f5e62ce70b62e26716cf4b077c288cad688e38a

Observation 8ee3c5da-a7a6-4847-908b-478d56ff2296 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.386473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.386473Z digest=sha256:889ab8a8ae0dfae981d79f2afeccb30369013fefed0e46d2c4437c7b983f3089

Observation 3c403dbf-6adb-4157-a540-59103f6e1808 · outbound

This paper cites arXiv preprint arXiv:2506.09016 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2506.09016 , year=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.389401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.389401Z digest=sha256:52aa84d974aefee2e17da07a8c1202403122aedab876b2bb92571f36f19bff82

Observation fc198569-6ca4-40d5-8d9a-64be99f57b27 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.392462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.392462Z digest=sha256:2589f0b2fb4da7b3a624f599aa47100b0fb9aa2281ad6b22596a333bee838eca

Observation b52d8413-a148-45ad-ab34-72fe9ba1f020 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.395533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.395533Z digest=sha256:670ae40c23bb790394f5783676813631aab4c7e46561e4a4afd3dd77321d6274

Observation 40a690dd-a4ba-4986-a1de-837b16f685a2 · outbound

This paper cites arXiv preprint arXiv:2510.01037 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.01037 , year=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.399843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.399843Z digest=sha256:d58537185baf8e26aa0b85d111d63e4fd2cf2e56e98aead5d230df0e872dac25

Observation beaf8e34-ed80-4f40-b8ec-d0e3c150a4e9 · outbound

This paper cites Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.403482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.403482Z digest=sha256:81f2adef181f27e52a97ce4f6732935210f9aa644733275b5d762e16b67cf046

Observation 7664759a-5aad-40e4-ac54-d5d99cf95034 · outbound

This paper cites arXiv preprint arXiv:2603.10887 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2603.10887 , year=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.406952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.406952Z digest=sha256:db689cabb1a8287340b1584dc75b420c0afdbbe6af9b283ffd52f2a1b691396b

Observation e7859ec3-bd5e-4fa9-b6e5-85bd83eb83d5 · outbound

This paper cites arXiv preprint arXiv:2505.14970 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2505.14970 , year=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.410463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.410463Z digest=sha256:09ccde503aee074633d2cfc6db1c5338efd9580ce9cca2e299380a05d7af93d6

Observation 219ee3bd-66fd-4a6e-b818-f9acd1b64784 · outbound

This paper cites How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.414029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.414029Z digest=sha256:0fac7af602393af205e5c223498627a099bb715f5f9ff595e7a1983f10a5d685

Observation 7feb79b7-381a-45b2-a2b2-74882e15702d · outbound

This paper cites Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.418758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.418758Z digest=sha256:e213ddcf11f9023d12a7f9eeb0dfd4d60278f4fc7248c119942b0a68ac050668

Observation 86114a98-e6c7-46ad-a1dd-f63dee62c9d0 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.424440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.424440Z digest=sha256:c1e65cdb815db25e99321252c85432fbe1904dec5d4447a2a428e7a69db58d63

Observation e0156dd9-cc2e-4105-80e1-e627ba5dc0ad · outbound

This paper cites arXiv preprint arXiv:2510.01135 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.01135 , year=

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.435036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.435036Z digest=sha256:82ca31309d886bd8b2bff7764a3a442ec0e1ecf667b9d56ddb8c7c1ae5dbf071

Observation 4780e41a-2fbe-47f2-9259-e700ea27a6f8 · outbound

This paper cites Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.443920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.443920Z digest=sha256:306ef7ac5b3c1968aa4e605842f487e7048499de9d2e0f28abf084af5d6ba143

Observation 8b97658a-80f3-4799-b633-69a077bdf0c0 · outbound

This paper cites Advances in neural information processing systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.451751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.451751Z digest=sha256:94863c0fc1d4ca970a94a99123e6f60b187a5f72bcf983410da2eb2adcf602cb

Observation 80513b2a-6e96-44af-8c9f-329befdacf6f · outbound

This paper cites Advances in neural information processing systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.459350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.459350Z digest=sha256:9f19ce3ab1ace824d51be0390cdb955fa7212cce8be8a3f1aa1504be54bc9986

Observation 384493e4-dca9-485f-8079-2331ece1a582 · outbound

This paper cites Advances in neural information processing systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.477161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.477161Z digest=sha256:8cf514232527b891520926329dc8e3fdef9530ec4baec8bc7f6a8925969511ad

Observation e1a1c7b2-bb42-4c53-b45f-65048bdfc867 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.485434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.485434Z digest=sha256:428cb1be72093875fc8574fac3509c393a23ee9ec87ef4495c74e12277e7e419

Observation 56f891fd-6e39-4461-a27f-7c11a11c6262 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.498285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.498285Z digest=sha256:61c4bd71facc8b19e1bb71328fee116656534c8a9279ceeb0ab0fcf3f2c28336

Observation 47b79656-782f-4d0a-8482-fdd822ed018b · outbound

This paper cites Proximal Policy Optimization Algorithms.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Proximal Policy Optimization Algorithms

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.506774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.506774Z digest=sha256:add75641510b1444af5a5a2b9843933b9c7cbcdb9dc8a5b069394f9c6df20424

Observation 8b18bc8a-04e0-40d8-90fe-cfa90cecffcf · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.516029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.516029Z digest=sha256:09af5e92f35f82fc3b5e8e5a8cd4f21232e9e9aa21b607f5d63cd0b5088dff5f

Observation c795dfb8-050d-491c-b845-83dfe8e78fed · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.525444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.525444Z digest=sha256:70ad83b4d81897f62bf5b61ed88cfe07a46edd4842d247f8d788b0f472135fc1

Observation 445ec05d-b607-4226-8c34-ea1472caefe7 · outbound

This paper cites Qwen2.5-Coder Technical Report.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Qwen2.5-Coder Technical Report

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.534961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.534961Z digest=sha256:9126ccefd5181a073c5f2b661aab56828f9660f9f1f21cb33c24ba8f8c96ddc8

Observation c393f9dd-d3d5-4d12-8522-52f066401895 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.544380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.544380Z digest=sha256:44118ccb3dbdbfff6bb086a97732ceb00b2eedeaee8b60f4d63adf175f3cca8c

Observation 4b6df2c4-0c3e-4557-b79e-f097d6227cf0 · outbound

This paper cites Qwen2 Technical Report.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Qwen2 Technical Report

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.553565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.553565Z digest=sha256:13f5415601446ff98d24492a7ac641cc3b23812ba9556bc96d98dd8319fd70eb

Observation 8d89896b-5cee-4170-8ded-6ee10197303b · outbound

This paper cites Proceedings of the Twentieth European Conference on Computer Systems , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.562590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.562590Z digest=sha256:469d1bdf105acb23282198678aac0f04f941926edc1c332c840ec74463497998

Observation d5d7ce2d-c7b0-4319-a4af-eb6a78e456a0 · outbound

This paper cites Proceedings of the 29th symposium on operating systems principles , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.572044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.572044Z digest=sha256:a8b0eb1c0e8f44620c544314fd66fc8a454b02404c395b2e5026f630d5ada291

Observation 7a2a8dc4-e919-4e6d-b89b-6a02fa74e4af · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.581107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.581107Z digest=sha256:f5894f1ddc3c4b1fe3c656762e437191c44d7b2dab17ae3e0d3d061038c47ac2

Observation 89006e4d-2fee-42f2-8c76-7eb7a2fc09a3 · outbound

This paper cites Advances in neural information processing systems , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Advances in neural information processing systems , volume=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.590387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.590387Z digest=sha256:bed8bf63510dfb321b511b93b700740710c37ca104f432da0de8c9f37633bf2c

Observation ee8b2bc1-946f-4e64-83e3-cfecdb9b6b66 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.599943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.599943Z digest=sha256:6a724b022e6445a40d9d0c20b5e51f522ed5b6ded31d9d0d8695243ff534f334

Observation bb76a247-688f-4957-9cb6-daf45fedd8fc · outbound

This paper cites Hugging Face repository , volume=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models Hugging Face repository , volume=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.608955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.608955Z digest=sha256:3afd98faab5ef712d1f1f83f8d692d675b5918f97c182e5fbfae413ca0a5efed

Observation 12485ec5-04ea-4473-881a-ebc797ba9586 · outbound

This paper cites arXiv preprint arXiv:2509.10625 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2509.10625 , year=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.619391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.619391Z digest=sha256:ab640977aa1f184670dd10732556ec187431b0e1d7b64632ede8ccc2ecc6bbe8

Observation 17b49c01-62bb-4123-b649-65b6ef731d72 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.684880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.684880Z digest=sha256:b6867dcfca00444f71e42adbcc7745784b70329f5f3bb912d31c22453ea15240

Observation c168a90c-f079-443c-be8f-4ee72eb3c1e4 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.749284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.749284Z digest=sha256:40d547118bac0bbf173e53a8ed9e18aa527bfaeafa1b752ab4999046b5014361

Observation ea0de988-f89d-4450-b14f-dd4983d2e48f · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.817682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.817682Z digest=sha256:74018d110c9da649af5c0494f40ec5edd65cc9a8f4528696aedc7ca991489c60

Observation 951ce4ef-14d2-45d6-927c-48d7333fb873 · outbound

This paper cites arXiv preprint arXiv:2509.24711 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2509.24711 , year=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.881976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.881976Z digest=sha256:e57b060bbc26f3098d1ae60a0a1a4194ff1f6948dd304566b273797605881cef

Observation 8c023dc8-96d0-4b3e-bc8c-2727fa810f45 · outbound

This paper cites arXiv preprint arXiv:2510.26374 , year=.

LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models arXiv preprint arXiv:2510.26374 , year=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-31T18:34:16.916502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T18:34:16.916502Z digest=sha256:7fc37271108f54b4d6870b21fdb4550659bf08cdb76960b44adf3de0d403385b

Pith citing papers

No inbound Pith citation observations are available.