Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T10:00:58.600743Z
Paper Citation Record · LEDGER
Holder Policy Optimisation
As of 5 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2605.12058.
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 2026-08-04T06:34:03.388597+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
Reference resolution
59 of 59 outbound references displayed
- verified exact13
- verified fuzzy22
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch24
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 43ad087b-a796-4fbd-bd7c-0bc027932762 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Holder Policy Optimisation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.172738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7696505d-910a-4feb-b9f7-e793877836a0 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Holder Policy Optimisation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.006094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da38957e-b774-450f-b086-fb3495993e88 · outbound
This paper cites Advances in neural information processing systems , volume=.
Holder Policy Optimisation Advances in neural information processing systems , volume=
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.094020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d6aa43b-2e71-4ae0-8ccc-c467fa2c8197 · outbound
This paper cites 2025 , eprint=.
Holder Policy Optimisation 2025 , eprint=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.098372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8eecf019-2b66-413e-a18e-11570fe6e97c · outbound
This paper cites Proximal Policy Optimization Algorithms.
Holder Policy Optimisation Proximal Policy Optimization Algorithms
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.017387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85bf3601-d69f-4fa6-985a-7b05e12c1893 · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
Holder Policy Optimisation Understanding R1-Zero-Like Training: A Critical Perspective
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.027656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ebf9a6a4-d103-4eaa-bb8a-0caef8b179f6 · outbound
This paper cites Geometric-mean policy optimization.
Holder Policy Optimisation Geometric-mean policy optimization
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T10:01:23.033372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67d3a995-a91f-497c-ba8b-df8e075f6283 · outbound
This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
Holder Policy Optimisation Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.011593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4fc8100-a057-4936-a2b3-8b5f06026b57 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
Holder Policy Optimisation Measuring Mathematical Problem Solving With the MATH Dataset
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.038187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a853cf97-ac1c-4dfd-b423-57e28360ab54 · outbound
This paper cites Advances in neural information processing systems , volume=.
Holder Policy Optimisation Advances in neural information processing systems , volume=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.086187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dde29968-9a11-4325-a85c-b14a9e7a9a9b · outbound
This paper cites O lympiad B ench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
Holder Policy Optimisation O lympiad B ench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-22T10:01:22.026817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78ec5504-d929-4418-b1a2-737a6c468d1d · outbound
This paper cites 2024 , publisher =.
Holder Policy Optimisation 2024 , publisher =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.089952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 932c3309-ef12-4c71-892f-c26a2bb94164 · outbound
This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
Holder Policy Optimisation ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.136075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a9db7fa-3258-46cc-8aa8-eaaf37d197de · outbound
This paper cites Machine learning , volume=.
Holder Policy Optimisation Machine learning , volume=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.081524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f4aa4cc-8de8-4688-ab08-da870ce8a983 · outbound
This paper cites Advances in Neural Information Processing Systems (NIPS) , volume=.
Holder Policy Optimisation Advances in Neural Information Processing Systems (NIPS) , volume=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.077169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b5cb384f-eea6-4a83-b717-307099f0a248 · outbound
This paper cites Group Sequence Policy Optimization.
Holder Policy Optimisation Group Sequence Policy Optimization
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.121758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 378f4177-f5b9-47c0-9efc-92acda06d027 · outbound
This paper cites Group-in-Group Policy Optimization for LLM Agent Training.
Holder Policy Optimisation Group-in-Group Policy Optimization for LLM Agent Training
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:22.975399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fa40f318-7828-4858-bb10-15bf92e381c8 · outbound
This paper cites Advances in neural information processing systems , volume=.
Holder Policy Optimisation Advances in neural information processing systems , volume=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.072211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e61f42e1-8c5c-4827-8c7b-f6674608dfbe · outbound
This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.
Holder Policy Optimisation Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.109055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c3243e8-fcb1-4ec2-b813-bd874299d5a8 · outbound
This paper cites OpenAI o1 System Card.
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.141829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 43d32857-e4bc-489a-aefc-046b29bb3201 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
Holder Policy Optimisation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:22.987983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b1405764-6658-43c9-b323-c1f35785062c · outbound
This paper cites Qwen3 Technical Report.
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.000838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d96dd91-0bcd-49bf-b628-94cdaf424d23 · outbound
This paper cites arXiv preprint arXiv:2504.02546 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2504.02546 , year=
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.154216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4fbe9a3d-06bb-4289-9c29-eb8d6bc4630b · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Holder Policy Optimisation DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.022545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f4b2d20-ede4-4577-9da3-8fbe75fe7436 · outbound
This paper cites AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin.
Holder Policy Optimisation AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.048828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9e69fa3-e40f-4cfb-8334-32dbe2cca0f6 · outbound
This paper cites BNPO: Beta Normalization Policy Optimization.
Holder Policy Optimisation BNPO: Beta Normalization Policy Optimization
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.160661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2871403a-483e-406b-bdba-5763fb16b9f3 · outbound
This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.
Holder Policy Optimisation Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.043308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f00ade20-5fac-4ddc-94e6-b81b96dd10f9 · outbound
This paper cites Process Reinforcement through Implicit Rewards.
Holder Policy Optimisation Process Reinforcement through Implicit Rewards
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:22.981624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1394ac26-6e52-457a-a261-5452c7f99f99 · outbound
This paper cites What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret.
Holder Policy Optimisation What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T10:01:22.994765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a2279bdc-0f69-4eab-a8e5-b328bef51afe · outbound
This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.
Holder Policy Optimisation Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.068373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0d5b02c-ba47-40fd-b114-e14189b52187 · outbound
This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
Holder Policy Optimisation SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.061118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cdafa392-70f2-41ba-b055-d46aef9d1d2e · outbound
This paper cites Advancing LLM Reasoning Generalists with Preference Trees.
Holder Policy Optimisation Advancing LLM Reasoning Generalists with Preference Trees
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.055182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86272908-79cd-42bc-8097-fc47a2786e69 · outbound
This paper cites SIAM review , volume=.
Holder Policy Optimisation SIAM review , volume=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.064561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a706d4a-8c50-420d-8d9e-eb83ec5f6d74 · outbound
This paper cites International conference on machine learning , pages=.
Holder Policy Optimisation International conference on machine learning , pages=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.057269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 551248a5-5879-44a9-a38d-5a11abab795c · outbound
This paper cites 1976 , publisher=.
Holder Policy Optimisation 1976 , publisher=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.060875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 139656f4-b693-4d5d-aba9-0fe108be2a5f · outbound
This paper cites arXiv preprint arXiv:2601.22521 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2601.22521 , year=
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:22.964122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c65e001-2487-45a7-9e10-2bf270810a5d · outbound
This paper cites ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models.
Holder Policy Optimisation ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:22.969538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation adff6dcc-face-4c8f-8ede-3d4135922d51 · outbound
This paper cites arXiv preprint arXiv:2508.03772 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2508.03772 , year=
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.067064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a36adce7-c8bd-4d28-a25e-a4c7dc97f3c4 · outbound
This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
Holder Policy Optimisation Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.166511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05e24fbc-19e0-48c3-ba6a-0b47d5be5639 · outbound
This paper cites arXiv preprint arXiv:2506.08440 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2506.08440 , year=
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.148052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ea8c1185-787b-401f-98a2-5f755ff490cd · outbound
This paper cites Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs.
Holder Policy Optimisation Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:22.958441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11c3f6df-09db-45b7-a07d-6dbe8609d1d5 · outbound
This paper cites arXiv preprint arXiv:2510.03669 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2510.03669 , year=
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.091395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14660e6d-04b5-42bf-996f-eea9bc9e65f9 · outbound
This paper cites arXiv preprint arXiv:2510.09369 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2510.09369 , year=
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.097593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 07d4c7bf-ee9e-416c-aa48-3605d010d34e · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Holder Policy Optimisation Advances in Neural Information Processing Systems , volume=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.044510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68a22f9a-02cc-4f3f-9f4d-60c29e2d3a47 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Holder Policy Optimisation The Twelfth International Conference on Learning Representations , year=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.049376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd9f59b6-256b-449c-9320-f14e2e7f3116 · outbound
This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in.
Holder Policy Optimisation Does Reinforcement Learning Really Incentivize Reasoning Capacity in
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.053655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a24fb90-8044-4eab-b67e-2ba6e1484065 · outbound
This paper cites Rewarding the Unlikely: Lifting.
Holder Policy Optimisation Rewarding the Unlikely: Lifting
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.031924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 909e2619-478b-49af-8258-f852037d735c · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Holder Policy Optimisation Advances in Neural Information Processing Systems , volume=
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.102710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6253ef90-5c84-40ab-b456-be1062ce4bc0 · outbound
This paper cites Let's Verify Step by Step.
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:23.102975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc13b490-a75e-4caf-a2a7-f983d863add8 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Holder Policy Optimisation Advances in Neural Information Processing Systems , volume=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.036302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef676581-d826-4d64-99cc-092eb718d330 · outbound
This paper cites arXiv preprint arXiv:2510.06870 , year=.
Holder Policy Optimisation arXiv preprint arXiv:2510.06870 , year=
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:22.946551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d678c24-3e73-4b0a-95e6-a526d8b673f7 · outbound
This paper cites On-Policy RL with Optimal Reward Baseline.
Holder Policy Optimisation On-Policy RL with Optimal Reward Baseline
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.127974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 94c188f2-641f-4ea3-8252-6faeb9c094f9 · outbound
This paper cites SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization.
Holder Policy Optimisation SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:01:23.115200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ee601fd-7c70-42c0-9605-704c0a0ecb64 · outbound
This paper cites 2018 , publisher=.
Holder Policy Optimisation 2018 , publisher=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.027694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f3df1a4c-fa53-4f7f-8200-56b1edba6982 · outbound
This paper cites International conference on machine learning , pages=.
Holder Policy Optimisation International conference on machine learning , pages=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.040599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 726a0883-aeaf-4dd3-a01c-6345737dee68 · outbound
This paper cites Spurious Rewards: Rethinking Training Signals in RLVR.
Holder Policy Optimisation Spurious Rewards: Rethinking Training Signals in RLVR
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:01:22.952772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 650509d9-5b85-4be6-a670-b921a6214281 · outbound
This paper cites 2018 , publisher=.
Holder Policy Optimisation 2018 , publisher=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.015496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29c6a257-8b60-4b5d-aa7d-3466eecbd7f3 · outbound
This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.
Holder Policy Optimisation Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.019501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e645e442-1a9a-48fa-8968-5adc9d756b3c · outbound
This paper cites Transformer Circuits Thread , year=.
Holder Policy Optimisation Transformer Circuits Thread , year=
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T10:01:24.023424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.