Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T00:53:51.251900Z
Paper Citation Record · LEDGER
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
As of 21 July 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2512.05591.
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 2026-07-21T06:31:05.380196+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-20T05:53:19.306726Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T12:15:01.137692Z
Reference resolution
25 of 25 outbound references displayed
- verified exact15
- verified fuzzy7
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 47852254-67b9-432a-9c82-8b5371fca63c · outbound
This paper cites Seed1.5-thinking: Advancing superb reasoning models with reinforce- ment learning.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Seed1.5-thinking: Advancing superb reasoning models with reinforce- ment learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:58:46.282148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 051254d6-6815-46c0-8514-79096d9ba67c · outbound
This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:58:46.311837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c919d9ec-072b-4ebf-8890-1ff2d662a3e8 · outbound
This paper cites Reasoning with Exploration: An Entropy Perspective.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Reasoning with Exploration: An Entropy Perspective
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.297219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 3b62c073-3194-45b3-ac47-4d13381b48bb · outbound
This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.317503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation abb0e17e-99ae-4f2e-a9c5-1c8be70e4e92 · outbound
This paper cites doi: 10.1038/s41586-025-09422-z.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning doi: 10.1038/s41586-025-09422-z
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-17T00:58:46.269326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation cb0b87c3-9ee5-414b-9332-75dfe5c9a4d4 · outbound
This paper cites O lympiad B ench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning O lympiad B ench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Reference 6
- Resolution
- verified exact
- doi, observed 2026-05-17T00:58:46.314464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c886c028-3b9c-4a41-9651-98be435abcdd · outbound
This paper cites Skywork Open Reasoner 1 Technical Report.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Skywork Open Reasoner 1 Technical Report
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:26:47.432522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation afc627c3-5eb9-40a8-a8b5-3bccf0bd1985 · outbound
This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T00:58:46.264356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a7e1ecc4-a593-490a-b305-abab8f8dc1b9 · outbound
This paper cites an unresolved cited work.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Unresolved cited work
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.668878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a9364254-2f08-4f78-8056-1a594ccbc92d · outbound
This paper cites an unresolved cited work.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Unresolved cited work
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.663624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation fd087267-0ab3-4580-ab85-1469ec6bfc2b · outbound
This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T20:52:33.970587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 15fae4bd-f790-4413-9a3b-86e863e6460c · outbound
This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.658483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation a57e4718-d462-4a58-9cda-d0ff0864524b · outbound
This paper cites an unresolved cited work.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Unresolved cited work
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.666124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 4ee32e20-5fb6-4714-94c4-524904d7a74f · outbound
This paper cites Jordan, and Philipp Moritz.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Jordan, and Philipp Moritz
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.660989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation c72b767c-337d-4011-bb60-3b840ac5fbf3 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.653290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation b199663b-922a-475f-b8a3-dbfb90c1aa89 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T00:58:46.308207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 9536a65b-18f1-47b4-ae0c-dff7513a7d6e · outbound
This paper cites Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:58:46.289894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 91f99259-325e-4266-b969-c308027e011b · outbound
This paper cites CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.300735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 2d15c3b6-b9a6-4533-b4ce-7948d24c60b2 · outbound
This paper cites Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:58:46.293783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 48abf2b6-0eab-43be-a8cc-8b44acbb1dff · outbound
This paper cites Qwen3 Technical Report.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Qwen3 Technical Report
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T00:58:46.286019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f27d17e7-0154-4e1e-8b83-2a0947408e08 · outbound
This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.657275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation e7572d50-345c-45d3-8c97-6f31eabbdcfe · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.277967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation 69fa3b8a-b794-4c14-988d-08f8db7cede4 · outbound
This paper cites Group Sequence Policy Optimization.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning Group Sequence Policy Optimization
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:58:46.260517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation dc28c5fb-2647-4ff9-a55f-0232c3e93694 · outbound
This paper cites online" 'onlinestring :=.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning online" 'onlinestring :=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.672015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Observation f27b4428-a805-490c-b6de-c5335be8975b · outbound
This paper cites write newline.
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning write newline
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T01:01:25.675613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.
Pith citing papers
Observation a0ef91d8-d78b-4cb0-b86a-450a434dcc53 · inbound
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment cites this paper.
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T05:53:22.205659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.