Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:55.003012Z
Paper Citation Record · LEDGER
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 5 inbound Pith citation observations for arXiv:2505.17250.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:46.148845Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T01:29:56.674717Z
Reference resolution
19 of 19 outbound references displayed
- verified exact0
- verified fuzzy9
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cfee40c1-21b0-481e-a4b0-4bba34439fe1 · outbound
This paper cites an unresolved cited work.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:53:57.694772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01ab6025-3b14-4b08-b130-730fa9bcf27c · outbound
This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.592950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 252a0634-5e80-4cfa-a6cd-97bf4f22afc5 · outbound
This paper cites Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gon- zalez, Hao Zhang, and Ion Stoica.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gon- zalez, Hao Zhang, and Ion Stoica
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.689958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c3d54fa-02f2-4d5e-bf42-34806e629466 · outbound
This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.857132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5a47764-a058-4ec4-8052-a3e12af3bfa9 · outbound
This paper cites ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ConciseRL
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:57.458987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c5ef0484-65a6-41c6-8e8d-02944d49bae0 · outbound
This paper cites an unresolved cited work.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:53:57.282534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 20bdaeef-e216-4000-b71c-7f0103bf6dd1 · outbound
This paper cites Check \( G > B \): 26 > 9, which is true.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Check \( G > B \): 26 > 9, which is true
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:57.187488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a9186dec-a6d0-4fbb-91ca-e14c666e256b · outbound
This paper cites an unresolved cited work.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:53:56.941051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1ce1d444-ea9c-4a2e-9192-a7ed8fb43740 · outbound
This paper cites [...] The number of boys at the meeting is \boxed{9}.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models [...] The number of boys at the meeting is \boxed{9}
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:56.624923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f354b64d-04c4-465c-b955-9926bc508fe6 · outbound
This paper cites ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ConciseRL
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:56.445256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 379006c1-2b78-4445-b93d-1e8292bb6424 · outbound
This paper cites ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ConciseRL
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:56.194770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ff73a4f6-48e2-46ce-8dae-8f96ea294006 · outbound
This paper cites ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ConciseRL
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:56.028054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6470cf79-7523-4904-9497-390c3011a55c · outbound
This paper cites Thus, the result of the computation is \(\boxed{\dfrac{5}{9}}\).
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Thus, the result of the computation is \(\boxed{\dfrac{5}{9}}\)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:55.833060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e8d56cd0-ca21-46c6-b46e-4dcaebbab35b · outbound
This paper cites ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ConciseRL
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:55.678609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb41f141-21cd-45da-a624-b1436980f04b · outbound
This paper cites The full reasoning traces are available at https://github.com/RazvanDu/ConciseRL.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models The full reasoning traces are available at https://github.com/RazvanDu/ConciseRL
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:53:55.546967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 877a46cf-69d8-4232-87e8-fdd4b282a5b4 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Training Verifiers to Solve Math Word Problems
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.407543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f8b6ab6-9178-46d5-b918-eb26621a3c06 · outbound
This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models Demystifying Long Chain-of-Thought Reasoning in LLMs
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.957988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e811332-6d86-4d06-b2aa-270eec8efef0 · outbound
This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.745836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33e62ba4-65ba-4b43-8254-ea5e0011726d · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:53.478299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b77ec013-62b2-4281-94a6-722c927958dd · inbound
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T01:29:56.678764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47f83da4-5200-47fe-8120-9b2d8a75cc12 · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:53:46.148845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b43aca3-afee-4244-acb4-276249572b40 · inbound
Learning to Reason Efficiently with Discounted Reinforcement Learning cites this paper.
Learning to Reason Efficiently with Discounted Reinforcement Learning ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:59:52.455824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d204015b-7dc1-438e-b5ab-c0d07dbc4a03 · inbound
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 217
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:06:09.173076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8c70757a-9ef0-403b-b493-63747d8b6beb · inbound
Contrastive On-Policy Distillation cites this paper.
Contrastive On-Policy Distillation ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:40:38.524310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.