Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T21:20:59.128986Z
Paper Citation Record · LEDGER
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
As of 15 July 2026, this Paper Citation Record lists 100 of 202 outbound references and 54 inbound Pith citation observations for arXiv:2501.09686.
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 2026-07-15T06:30:58.975436+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T05:22:49.815699Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
100 of 202 outbound references displayed
- verified exact45
- verified fuzzy48
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cbdac452-d30f-4f28-96be-c09da81de258 · outbound
This paper cites Phi-4 Technical Report.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Phi-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.466746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2f434a2a-a5cc-491e-9725-6853f684d42a · outbound
This paper cites GPT-4 Technical Report.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models GPT-4 Technical Report
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.250158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f7b214e4-81a3-424b-9638-53ab6748248d · outbound
This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.410885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b2d22c02-1478-414f-8744-afb40f444c3a · outbound
This paper cites Direct Preference Optimization with an Offset.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Direct Preference Optimization with an Offset
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.493391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 19b877ca-3a4f-4dd4-be17-a5feef265752 · outbound
This paper cites Mathqa: Towards interpretable math word problem solving with operation-based formalisms.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Mathqa: Towards interpretable math word problem solving with operation-based formalisms
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.514183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4aa6fd57-56ac-4197-a152-42f26dfb16e7 · outbound
This paper cites Program Synthesis with Large Language Models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Program Synthesis with Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.335394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 20643522-622e-42d6-8a2f-bf38b062347f · outbound
This paper cites Openai’s new o3 model freaks out computer science majors.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Openai’s new o3 model freaks out computer science majors
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.516151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation bd58d614-3e14-4bdf-818e-106b80208fb0 · outbound
This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.469467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 24423de6-7aeb-42fa-be84-86232a956666 · outbound
This paper cites Constitutional AI: Harmlessness from AI Feedback.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Constitutional AI: Harmlessness from AI Feedback
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.474824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e99137de-c673-4e6f-bda6-a3f40dff5fc6 · outbound
This paper cites Phyre: A new benchmark for physical reasoning.Advances in Neural Information Processing Systems, 32.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Phyre: A new benchmark for physical reasoning.Advances in Neural Information Processing Systems, 32
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.518087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1bf81e37-31df-47de-a3c3-881d06436af3 · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Graph of thoughts: Solving elaborate problems with large language models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.520771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation a8f50dce-32ce-4ede-b27e-38226d79a284 · outbound
This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Piqa: Reasoning about phys- ical commonsense in natural language
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.522794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b8f8131f-3248-4b63-b753-5638c81d1322 · outbound
This paper cites Autonomous chemical research with large language models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Autonomous chemical research with large language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.524671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9d0e71d2-fab2-4edf-a860-cfe5a7ef558e · outbound
This paper cites Language models are few-shot learners.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Language models are few-shot learners
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.526806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation cd85b766-f99b-4fe0-866a-9249f11102a9 · outbound
This paper cites A survey of monte carlo tree search methods.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models A survey of monte carlo tree search methods
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.528705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation aba8b193-025b-4266-b179-838f641dfc04 · outbound
This paper cites AlphaMath Almost Zero: Process Supervision without Process.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models AlphaMath Almost Zero: Process Supervision without Process
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.482839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 6f125f57-580a-479a-98b2-a7d853c4db5d · outbound
This paper cites Step-level Value Preference Optimization for Mathematical Reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Step-level Value Preference Optimization for Mathematical Reasoning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.490615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation a2c7cf50-f4b1-40d7-aa43-e4a49a5ce85a · outbound
This paper cites Unigeo: Unifying geometry logical reasoning via reformulating mathematical expression.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Unigeo: Unifying geometry logical reasoning via reformulating mathematical expression
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.530627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c2003e38-fa7b-4b25-8be0-428640575199 · outbound
This paper cites Xing, and Liang Lin.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Xing, and Liang Lin
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.532548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 0485c885-b27f-465a-9178-235ef0824faa · outbound
This paper cites Large language model-driven meta-structure discovery in heterogeneous information network.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Large language model-driven meta-structure discovery in heterogeneous information network
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.534834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation cc42dbc1-f4f0-453f-a8e9-144f72c7c260 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Evaluating Large Language Models Trained on Code
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.350036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e8989e31-e6ce-4b2f-9eb4-0bfebefed0f3 · outbound
This paper cites Large language models meet harry potter: A dataset for aligning dialogue agents with characters.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Large language models meet harry potter: A dataset for aligning dialogue agents with characters
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.536981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation dc2e132b-1424-408b-be7e-b3beb0ea727c · outbound
This paper cites Theoremqa: A theorem-driven question answering dataset.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Theoremqa: A theorem-driven question answering dataset
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.538855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 6be6ca61-74c4-4ecd-a101-bf2a0ec34ed8 · outbound
This paper cites Training verifiers to solve math word problems.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Training verifiers to solve math word problems
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.540983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation def82253-c90f-4393-98e9-be118bd99006 · outbound
This paper cites Meta-in-context learning in large language models.Advances in Neural Information Process- ing Systems, 36.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Meta-in-context learning in large language models.Advances in Neural Information Process- ing Systems, 36
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.542868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1d1abc1b-3d54-4213-9743-c4b9ead22e28 · outbound
This paper cites Testing GPT-4-o1-preview on math and science problems: A follow-up study.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Testing GPT-4-o1-preview on math and science problems: A follow-up study
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.488026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b311636f-081e-4338-9f47-2e664156ed0a · outbound
This paper cites System 2 thinking in openai’s o1- preview model: Near-perfect performance on a mathematics exam.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models System 2 thinking in openai’s o1- preview model: Near-perfect performance on a mathematics exam
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.544940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation da6e1676-fe24-4374-9d06-66f5810f54d7 · outbound
This paper cites Mind2web: Towards a generalist agent for the web.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Mind2web: Towards a generalist agent for the web
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.546963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 57e487d1-dc19-4b63-bce8-641101558ea7 · outbound
This paper cites ReasonBERT: Pre-trained to Reason with Distant Supervision.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models ReasonBERT: Pre-trained to Reason with Distant Supervision
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.496067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 5ae62268-df74-4cb8-80c0-486d48c2e5bd · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.199404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 0bd2563b-cfa0-46e0-add0-f442ad39cfa4 · outbound
This paper cites Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.207171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 35a61bdd-6eec-4eb1-8e4e-1d3d006fe8aa · outbound
This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.228286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation bc9c2714-7f9f-4c86-b592-4adf1fcbeb73 · outbound
This paper cites A Survey on In-context Learning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models A Survey on In-context Learning
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.233361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 137cfa00-093d-43bc-a064-ad1455dc7cc3 · outbound
This paper cites Abduction.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Abduction
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.548894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 34d2d0d5-1af5-49bf-952b-aa285d37bdb8 · outbound
This paper cites The Llama 3 Herd of Models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models The Llama 3 Herd of Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.275511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation af1a2ab3-f614-4f2d-883d-33b772ce2311 · outbound
This paper cites The path to superintelligence: A critical analysis of openai’s five levels of ai progression.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models The path to superintelligence: A critical analysis of openai’s five levels of ai progression
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.550846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 82036e2b-ea0e-44a6-8206-86ffd9a3d94f · outbound
This paper cites Detecting hallucinations in large language models using semantic entropy.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Detecting hallucinations in large language models using semantic entropy
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.552909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f62bd649-d081-48f1-aaa2-a53defa21b10 · outbound
This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:12:31.711130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 94167ef6-d053-41d2-9a27-65b18f02fb07 · outbound
This paper cites Memory sharing for large language model based agents.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Memory sharing for large language model based agents
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.389023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 535ddfe0-d204-4936-8e7f-4bf3d3c137a1 · outbound
This paper cites Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.391608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 91e1c7b4-1331-4b0d-8ee6-10cdad3b9da5 · outbound
This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.399537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 70d91675-fb73-4880-b708-31a19017e436 · outbound
This paper cites Llms accelerate annotation for medical information extraction.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Llms accelerate annotation for medical information extraction
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.554644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 967184e0-29cc-49a5-8888-9e02de37a3fa · outbound
This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.440900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1efc4db8-041a-4993-990e-bc34e470e9ed · outbound
This paper cites Richelieu: Self-evolving llm-based agents for ai diplomacy.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Richelieu: Self-evolving llm-based agents for ai diplomacy
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.445843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e0ab2298-1dc8-454c-9b9e-8aab3bc35a82 · outbound
This paper cites Reinforced Self-Training (ReST) for Language Modeling.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Reinforced Self-Training (ReST) for Language Modeling
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.453412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation fd6840ac-786e-46b7-b935-736ae01097c1 · outbound
This paper cites Fabbri, Wo- jciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, and Dragomir Radev.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Fabbri, Wo- jciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, and Dragomir Radev
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.556905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2d4c05c6-dc38-4073-8dbb-88c879ebc767 · outbound
This paper cites Inductive Logic.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Inductive Logic
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.558549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 52092386-5427-4a0a-a2ab-0bfa63cb80b2 · outbound
This paper cites A cross-domain performance report of open ai chatgpt o1 model.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models A cross-domain performance report of open ai chatgpt o1 model
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.560237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b5f2a9b6-d03e-4bc4-a30f-8e27623e8fd3 · outbound
This paper cites Measuring Coding Challenge Competence With APPS.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Measuring Coding Challenge Competence With APPS
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.485278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 8535cc4f-5521-4450-a462-645815ba1cc0 · outbound
This paper cites Measuring mathematical problem solving with the math dataset.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Measuring mathematical problem solving with the math dataset
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.562320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation aa125438-1747-4b85-aef0-53e64c1d2d21 · outbound
This paper cites Learn- ing to solve arithmetic word problems with verb categorization.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Learn- ing to solve arithmetic word problems with verb categorization
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.564048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 17cacc95-7221-4215-af3d-5fd77b930044 · outbound
This paper cites an unresolved cited work.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Unresolved cited work
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.566188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b7af3416-955f-4e21-a84e-6835112f1ebe · outbound
This paper cites Can gpt-o1 kill all bugs? an evaluation of gpt-family llms on quixbugs.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Can gpt-o1 kill all bugs? an evaluation of gpt-family llms on quixbugs
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.568172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b3256edb-9ccb-4306-9562-4a83f16638aa · outbound
This paper cites Automated Design of Agentic Systems.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Automated Design of Agentic Systems
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.498579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 20919b26-f4b3-411b-87a0-76882e32afb0 · outbound
This paper cites Agents' Room: Narrative Generation through Multi-step Collaboration.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Agents' Room: Narrative Generation through Multi-step Collaboration
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.501398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation cdba4cee-feb5-4516-b719-efe5df6d7fee · outbound
This paper cites Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.192059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 5e888b52-d0c9-4446-9be4-e5b005321349 · outbound
This paper cites blob reinforcement fine-tuning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models blob reinforcement fine-tuning
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.569866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation afb7cea1-a50a-47cf-b7c1-22bb362f5e14 · outbound
This paper cites Jiang, Wenda Li, Jesse Michael Han, and Yuhuai Wu.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Jiang, Wenda Li, Jesse Michael Han, and Yuhuai Wu
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.571477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation fa6f4caf-e940-4625-9abd-900fcb0262f6 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.210519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation cdb5e5ba-67e7-47d9-81b9-2c8859ef289e · outbound
This paper cites Scaling Laws for Neural Language Models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Scaling Laws for Neural Language Models
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.217519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2c82506e-c364-4e71-897b-b8ac5ab0a83f · outbound
This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models VinePPO: Refining Credit Assignment in RL Training of LLMs
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.221163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9fbc0736-dc19-46c7-a3bc-ddc5c4bdeb8c · outbound
This paper cites MEGAnno+: A Human-LLM Collaborative Annotation System.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models MEGAnno+: A Human-LLM Collaborative Annotation System
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.224799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 77a14655-f8e9-4661-a870-c7eb8d84e0f6 · outbound
This paper cites Large language models are zero-shot reasoners.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Large language models are zero-shot reasoners
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.573324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 7bd5726d-a5a6-4ca6-9fd2-c012a0a86a78 · outbound
This paper cites Probing physical reasoning with counter-commonsense context.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Probing physical reasoning with counter-commonsense context
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.575277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4989865d-0d21-43a3-bd19-6e75cfb7dbb5 · outbound
This paper cites Training Language Models to Self-Correct via Reinforcement Learning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Training Language Models to Self-Correct via Reinforcement Learning
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:04:11.157267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 3b9f6991-a47a-4aba-a5a3-5940cd1f9527 · outbound
This paper cites Language models as zero-shot trajectory generators.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Language models as zero-shot trajectory generators
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.577403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c3511464-e67b-49ca-8eb6-3d587f48818d · outbound
This paper cites LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.266360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4c86fdd7-682a-46f6-87eb-686c12975b81 · outbound
This paper cites Ds-1000: A natural and reliable benchmark for data science code generation.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Ds-1000: A natural and reliable benchmark for data science code generation
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.579617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation d4f35070-79e6-4ac4-a411-47d13d38a2b0 · outbound
This paper cites A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.278778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e3560fe6-6a8b-48f8-ae57-fa7a0945c844 · outbound
This paper cites Multi-Agent Causal Discovery Using Large Language Models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Multi-Agent Causal Discovery Using Large Language Models
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T02:05:00.588917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 61b7c923-fe2c-42fa-bd7d-e3f90d05b042 · outbound
This paper cites LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.297822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4f1ce908-20e3-499f-976f-3682bdc1f829 · outbound
This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.300355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 740cb574-3fdd-4cbb-b1e0-e81a74c40ea7 · outbound
This paper cites DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.303532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c005dcdb-ae2d-4579-99a2-4cef3efdd716 · outbound
This paper cites OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.309746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c58955e7-b660-41dd-8a1a-b4a612895b1c · outbound
This paper cites CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.324241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9672f212-f98a-4775-b365-1c450872ee3e · outbound
This paper cites Let's Verify Step by Step.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Let's Verify Step by Step
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.332655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f5f7f3a5-ee2c-42f6-98fb-72954f0ea4b2 · outbound
This paper cites Let’s verify step by step.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Let’s verify step by step
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.582077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation bf154039-5d9b-4e7b-9d0d-36f6712518d6 · outbound
This paper cites Smith, and Yejin Choi.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Smith, and Yejin Choi
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.585579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 6e57575b-5bce-4eb8-b75f-8cae84b5d994 · outbound
This paper cites Fimo: A challenge formal dataset for automated theorem proving.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Fimo: A challenge formal dataset for automated theorem proving
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.588263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1587aa71-f768-46db-87d0-c1999e1a7084 · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models AgentBench: Evaluating LLMs as Agents
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.383538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation aaeb3d37-6a8f-4457-b6a0-506901052fcf · outbound
This paper cites On the Impact of Fine-Tuning on Chain-of-Thought Reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.386326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c8efa85c-118a-4f00-8c2c-748fbdaecab3 · outbound
This paper cites Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.591901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 6b5e6523-da2e-415e-a32b-a15a0d0ccedb · outbound
This paper cites Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.594694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e0dd19b6-aaad-4b4a-9665-4da08f37e80d · outbound
This paper cites Dynamic prompt learning via policy gradient for semi- structured mathematical reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Dynamic prompt learning via policy gradient for semi- structured mathematical reasoning
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.598552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation a0e85083-91a1-4d59-94a3-1217b92a3438 · outbound
This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:00:08.752459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c03e32b1-3fc9-4598-9163-a08012e44af7 · outbound
This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.407952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 5c80e9e4-1c8a-4ff7-a345-490a74e9a1ec · outbound
This paper cites Towards logiglue: A brief survey and a benchmark for analyzing logical reasoning capabilities of language models.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Towards logiglue: A brief survey and a benchmark for analyzing logical reasoning capabilities of language models
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.603822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f6202b31-7864-4934-af61-b7d2544c0570 · outbound
This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.416304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 98d52701-50c9-4c4d-a362-7a82f6b48832 · outbound
This paper cites LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Reference 89
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.424547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2bdd4b33-6b23-4c52-b5aa-4ca03d5e4bca · outbound
This paper cites To infinity and beyond: Show- 1 and showrunner agents in multi-agent simulations.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models To infinity and beyond: Show- 1 and showrunner agents in multi-agent simulations
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.606322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 35ef2d14-1b3d-47c2-b491-60017f74c229 · outbound
This paper cites Self-refine: Iterative re- finement with self-feedback.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Self-refine: Iterative re- finement with self-feedback
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.609712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9fe232d7-b459-4551-8985-76834009f702 · outbound
This paper cites Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Reference 92
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.448470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c0258929-4808-47b3-8132-ffeaff385a72 · outbound
This paper cites Champ: A competition-level dataset for fine-grained analyses of llms’ mathematical reasoning capabilities.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Champ: A competition-level dataset for fine-grained analyses of llms’ mathematical reasoning capabilities
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.613558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1828d0b3-b1ff-4b25-bf6f-e972437918e6 · outbound
This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.617198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2302386f-7709-4609-9c30-d48663992896 · outbound
This paper cites When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.472263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 11d4098b-ab8c-47e0-b58c-6f326d7d4dbf · outbound
This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.621035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b6bd836f-8e5c-464e-8157-e29022cb32fc · outbound
This paper cites Quality and Efficiency of Manual Annotation: Pre-annotation Bias.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Quality and Efficiency of Manual Annotation: Pre-annotation Bias
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.477510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 0c562809-01ab-483e-ad37-4ad72a195e78 · outbound
This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Reference 98
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.479894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e61b696f-e0c6-4e97-b43d-fe4c3a14bac3 · outbound
This paper cites Chatgpt label: Comparing the quality of human- generated and llm-generated annotations in low-resource language nlp tasks.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Chatgpt label: Comparing the quality of human- generated and llm-generated annotations in low-resource language nlp tasks
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.625354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 8fcf01ef-8344-44ba-84fc-2b6a7a95d4b7 · outbound
This paper cites Adversarial nli: A new benchmark for natural language understanding.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Adversarial nli: A new benchmark for natural language understanding
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:20:59.628249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Pith citing papers
Observation 9a72947b-7797-4fcd-bd50-3dd4cda4a10e · inbound
Large Language Models for Multi-Robot Systems: A Survey cites this paper.
Large Language Models for Multi-Robot Systems: A Survey Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 126
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:32.386365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation d4350ebe-a038-42dd-8ba2-2eb2b93eb3a5 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 3046a813-8295-4b77-9da6-6744a1456e01 · 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 Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 202
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 2d456481-6650-4d8f-a88a-55336164242f · inbound
Bayesian Social Deduction with Graph-Informed Language Models cites this paper.
Bayesian Social Deduction with Graph-Informed Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T07:32:09.435550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 8f252c3a-f310-417e-9935-b9adbb7d6a67 · inbound
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 189
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T04:42:04.930609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation e92e1417-7093-46bd-a629-25c5df0e6d63 · inbound
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 139
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T00:40:51.241059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 585ad01b-1fc4-4f7e-b080-cae8ffd8cd0a · inbound
ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing cites this paper.
ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T03:17:00.870517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation fb29b1d2-b50f-49b0-a84b-1ff9d028d9a2 · inbound
PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning cites this paper.
PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T23:16:53.763747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation c3c1c5d7-17dd-4402-a8b2-0e4262e93e42 · inbound
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization cites this paper.
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T22:31:53.255577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 10d5346e-b2dc-4153-9deb-5a6308ed3b36 · inbound
Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness cites this paper.
Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T17:31:41.498294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation d7b7fb69-1bd1-4d7f-bbb9-0f5f94d5db01 · inbound
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:42:38.665761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation bfdd1ecf-5861-4c29-81b0-83cb6f12f845 · inbound
Deep Thinking by Markov Chain of Continuous Thoughts cites this paper.
Deep Thinking by Markov Chain of Continuous Thoughts Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:26:22.249453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 0faf3c5a-bbc8-48ae-bf7c-831a63c16d12 · inbound
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? cites this paper.
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T09:31:11.232362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 48893c14-9784-4b97-b740-8d755c109f2c · inbound
GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs cites this paper.
GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T23:42:12.956901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 32647496-e6bd-47c4-a9ef-7d4b8f613eb5 · inbound
A Rule-Aware Prompt Framework for Structured Numeric Reasoning in Cyber-Physical Systems cites this paper.
A Rule-Aware Prompt Framework for Structured Numeric Reasoning in Cyber-Physical Systems Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T22:18:36.809550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 158b4e0f-653d-402f-a3bc-b5433c26a003 · inbound
AgentMark: Utility-Preserving Behavioral Watermarking for Agents cites this paper.
AgentMark: Utility-Preserving Behavioral Watermarking for Agents Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T17:53:11.529329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1b447bc7-d702-4313-9758-2bee9de0cc5d · inbound
Compass vs Railway Tracks: Unpacking User Mental Models for Communicating Long-Horizon Work to Humans vs. AI cites this paper.
Compass vs Railway Tracks: Unpacking User Mental Models for Communicating Long-Horizon Work to Humans vs. AI Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 86
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:11:01.349508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1989dfcf-bbe4-46fc-9813-b7fadf92f9ad · inbound
Agentic Reasoning for Large Language Models cites this paper.
Agentic Reasoning for Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T15:14:26.536535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 3d1102a0-522e-4d8e-908f-194be4dc7a66 · inbound
Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering cites this paper.
Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b577fd38-ccbe-40ab-8160-7ed3fe4d4c88 · inbound
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search cites this paper.
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 28c15a62-de1b-44e8-a98e-9119f8f99b7f · inbound
Reasoning Fails Where Step Flow Breaks cites this paper.
Reasoning Fails Where Step Flow Breaks Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f9e6a649-dc50-4c13-adad-dc28be656174 · inbound
MirageBackdoor: A Stealthy Attack that Induces Think-Well-Answer-Wrong Reasoning cites this paper.
MirageBackdoor: A Stealthy Attack that Induces Think-Well-Answer-Wrong Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 28b9fcd2-517e-4a4f-a320-4a5c55bde01e · inbound
IE as Cache: Information Extraction Enhanced Agentic Reasoning cites this paper.
IE as Cache: Information Extraction Enhanced Agentic Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 174cca63-ca49-49b9-a4ef-67c62c9b1733 · inbound
Efficient Test-Time Scaling via Temporal Reasoning Aggregation cites this paper.
Efficient Test-Time Scaling via Temporal Reasoning Aggregation Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 7221c394-4dae-4ad1-a844-64b34aba6795 · inbound
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks cites this paper.
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 87977614-4e95-483a-aff2-61402701ccb3 · inbound
Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer cites this paper.
Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9a411577-e4f9-4dd4-8de6-ba4bdd1a2f50 · inbound
Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment cites this paper.
Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 7f69034e-cd40-476b-814d-a078b0882867 · 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 Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 125
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 30253e4e-722c-4b5c-a8a1-6e7a8c6c4a21 · inbound
How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem cites this paper.
How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4c8c789c-1091-4365-86f8-46c7dbec6b31 · inbound
Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.
Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 197
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1dbef7fa-7842-42d6-8cde-207846b5c6e1 · inbound
How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors cites this paper.
How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f0a7c854-2943-43ba-b51f-fefcec01e99f · inbound
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 21e504f3-47c0-4325-9f4d-85f3f96006ef · inbound
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:23:48.430282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 8b43e0e4-95cd-4435-b9c2-1d752dfb37c8 · inbound
ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models cites this paper.
ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 7a6c4dfd-a1ea-482a-8a61-2cba58fcaf88 · inbound
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 1e349555-e289-4cd3-9c23-86a6dac0275f · inbound
Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles cites this paper.
Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T02:12:58.287921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation cf7e43d3-ad78-4648-99d5-24f1209e2fb2 · inbound
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery cites this paper.
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T17:44:57.832114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 4e750ae6-5d85-471c-b45a-03330399a4ee · inbound
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination cites this paper.
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:12:47.142122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 57d7af52-884d-4279-8fa6-100f139d0f91 · inbound
CA-BED: Conversation-Aware Bayesian Experimental Design cites this paper.
CA-BED: Conversation-Aware Bayesian Experimental Design Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:26:14.626587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 58ef15fc-eee7-4a59-97e1-db624d5ae74d · inbound
Trust Region On-Policy Distillation cites this paper.
Trust Region On-Policy Distillation Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T20:56:13.579223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 000d00fe-8d2d-449b-8fc7-a399db57adbd · inbound
Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete cites this paper.
Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T22:06:16.146398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 6535bcd3-7f99-4609-b5a4-28c92b11fa9e · inbound
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning cites this paper.
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T03:26:28.703870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f63fb898-bd53-4d1a-86ea-10c926c2f15f · inbound
DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving cites this paper.
DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T08:26:48.173167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation d8972c28-0aca-47c1-a774-5b6f4e6ebd48 · inbound
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 135
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T22:31:21.562469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 9111ed93-a4f2-4113-b557-e121cb548352 · inbound
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T17:07:12.991800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 30f1fb06-9952-478d-aee5-8897256eef03 · inbound
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T05:53:08.770348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation b409071d-639f-4133-ab83-170e168ed653 · inbound
Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment cites this paper.
Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 137
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T21:06:14.613507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation f6491420-5df8-479b-89ed-a8679d29ff0a · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 276
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T05:57:41.448965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation eae9ae1c-9fb4-4d3b-a1d3-495a01314297 · inbound
SuCo: Sufficiency-guided Continuous Adaptive Reasoning cites this paper.
SuCo: Sufficiency-guided Continuous Adaptive Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T21:08:58.517322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 91aa8647-e32a-45c8-a1ff-5d98195f6c57 · inbound
CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models cites this paper.
CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:59:32.930746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation fcf99ed0-a820-4c2d-9e3f-dbc76f13f018 · inbound
ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery cites this paper.
ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:39:42.368311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 97c7742c-c7a8-46b2-82a0-ee807856795a · inbound
When LLM Rationales Become User-Facing: Effects on Trust Perception, Decision-Making, and Gaze Behaviors cites this paper.
When LLM Rationales Become User-Facing: Effects on Trust Perception, Decision-Making, and Gaze Behaviors Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:20:06.953893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation fa5a5ad7-084b-4650-b398-5f1ed2cafc22 · inbound
ToxiREX: A Dataset on Toxic REasoning in ConteXt cites this paper.
ToxiREX: A Dataset on Toxic REasoning in ConteXt Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 297
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T04:43:07.151691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-15T06:30:58.975436+00:00.
Observation 528b3bc9-a62f-423c-935f-e0234bbce5ea · inbound
Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making cites this paper.
Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:22:49.815699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.