Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:13:58.102702Z
Paper Citation Record · LEDGER
Competitive Programming with Large Reasoning Models
As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 58 inbound Pith citation observations for arXiv:2502.06807.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:37.731877Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation c11d5183-0d47-4152-8367-f7dc911cc37d · outbound
This paper cites Program Synthesis with Large Language Models.
Competitive Programming with Large Reasoning Models Program Synthesis with Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.044473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02b60c1d-aa64-432b-af12-02be784f2e2e · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Competitive Programming with Large Reasoning Models Evaluating Large Language Models Trained on Code
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.050456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ba1c1e9-7386-4018-a7f2-c580af35d9eb · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Competitive Programming with Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.054942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb6c4f2f-8c49-4267-bbec-dae8ad7a3efa · outbound
This paper cites OpenAI o1 System Card.
Competitive Programming with Large Reasoning Models OpenAI o1 System Card
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.059700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dce5394-ceaa-4b2c-9ba6-b789d6e8a6a3 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
Competitive Programming with Large Reasoning Models SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.063874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85a483d2-4a6f-4fc8-9dd9-4bc6d135598a · outbound
This paper cites Alphacode 2 technical report.
Competitive Programming with Large Reasoning Models Alphacode 2 technical report
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.268617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0ab2d4ca-9ce1-455a-b7e1-0b94c056c5ca · outbound
This paper cites Competition-level code generation with alphacode.
Competitive Programming with Large Reasoning Models Competition-level code generation with alphacode
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.071701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8233e2b-b075-4581-8f2a-2a29fa80395a · outbound
This paper cites Codeforces rating system.
Competitive Programming with Large Reasoning Models Codeforces rating system
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.251894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8f121f04-d765-4526-bf46-058693150abe · outbound
This paper cites Open codeforces rating system.
Competitive Programming with Large Reasoning Models Open codeforces rating system
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.242075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 509d0c2a-3ee9-4fbe-bd0d-e84f72e2f747 · outbound
This paper cites Codeforces: Soon we will change the rating calculation for new accounts.
Competitive Programming with Large Reasoning Models Codeforces: Soon we will change the rating calculation for new accounts
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.232356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad1925d7-1b2d-4d34-b87b-710e1fc4e063 · outbound
This paper cites Introducing swe-bench verified.
Competitive Programming with Large Reasoning Models Introducing swe-bench verified
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.222622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42f95214-5382-4fff-9b7c-73ebf2cd7771 · outbound
This paper cites Learning to reason with llms.
Competitive Programming with Large Reasoning Models Learning to reason with llms
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.212421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a785e40a-e8bd-4ca9-8a0a-36c60625fdfd · outbound
This paper cites Openai o3 system card.
Competitive Programming with Large Reasoning Models Openai o3 system card
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.092892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9852893-459d-4df2-871f-2766bdf7a506 · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.
Competitive Programming with Large Reasoning Models Toolformer: Language models can teach themselves to use tools
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.095963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ba5ee28-644b-4316-88ff-fa1301e022dd · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
Competitive Programming with Large Reasoning Models Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:13:58.099088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47cc8b0-d0c0-4a43-9d77-2f3f5a72360c · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Competitive Programming with Large Reasoning Models Chain-of-thought prompting elicits reasoning in large language models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T14:13:58.190162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation ac518908-2f16-4ab7-8fcc-0d3522a2f260 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Competitive Programming with Large Reasoning Models
Reference 173
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:41:23.494181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa596536-ab67-460b-bfcb-3588c5c0f400 · inbound
ReCopilot: Reverse Engineering Copilot in Binary Analysis cites this paper.
ReCopilot: Reverse Engineering Copilot in Binary Analysis Competitive Programming with Large Reasoning Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:37.731877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76e19ce2-d0ac-4641-90bf-8a32e2b248e1 · inbound
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning cites this paper.
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:47:54.628265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0878badd-2b52-442b-baf4-111d63fbec82 · inbound
Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning cites this paper.
Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:41:41.482480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4812c028-8191-471b-8303-c72322123e79 · inbound
HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices cites this paper.
HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices Competitive Programming with Large Reasoning Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:13:44.797973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 784c145e-d28b-486f-8ede-99c514aad554 · inbound
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models cites this paper.
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Competitive Programming with Large Reasoning Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:24.248102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e14007f-8e82-48c7-82ca-15348a966e2c · inbound
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners cites this paper.
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Competitive Programming with Large Reasoning Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:57:23.521521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13dec200-0d14-48b3-96be-be1c4cf7a765 · inbound
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO cites this paper.
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO Competitive Programming with Large Reasoning Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:18.875663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e708a75c-3b4d-428f-943b-9da9ad7ccb01 · inbound
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training cites this paper.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Competitive Programming with Large Reasoning Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.443666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82330be4-dce1-4de6-8fb7-88075f7db129 · inbound
HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.
HardTests: Synthesizing High-Quality Test Cases for LLM Coding Competitive Programming with Large Reasoning Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:39:57.365862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aa5dc2d-dc85-4d43-86b2-2fd13bbecda2 · inbound
From Struggle (06-2024) to Mastery (02-2025) LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation cites this paper.
From Struggle (06-2024) to Mastery (02-2025) LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation Competitive Programming with Large Reasoning Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:33:50.836223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e21133f-de9e-4342-a340-1738f3805185 · inbound
ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation cites this paper.
ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation Competitive Programming with Large Reasoning Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:57.485714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54ac5407-6ff4-4676-afd7-abc8a2c5a588 · inbound
SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code cites this paper.
SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code Competitive Programming with Large Reasoning Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:22:10.290482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff870720-553e-41ae-ac1e-7aa79506a2df · inbound
CodeContests+: High-Quality Test Case Generation for Competitive Programming cites this paper.
CodeContests+: High-Quality Test Case Generation for Competitive Programming Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:16:52.953682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0808d3c6-2c62-4c08-8d18-0031b96b9eff · inbound
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems cites this paper.
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems Competitive Programming with Large Reasoning Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:46.916094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 817dac2c-c798-48c9-bc48-13ca53e3ae5a · inbound
Exploring MLLMs Perception of Network Visualization Principles cites this paper.
Exploring MLLMs Perception of Network Visualization Principles Competitive Programming with Large Reasoning Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:12:13.896817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation efd088bb-b7f7-4aab-9d40-c3c7b463a8e0 · inbound
Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback cites this paper.
Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback Competitive Programming with Large Reasoning Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:37:11.729005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d69a98b6-3209-4a51-8324-b7a7d9321b86 · inbound
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:52:08.025692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dd9e01b2-eeaf-47c1-9956-99dfd4999c7c · inbound
Coding Triangle: How Does Large Language Model Understand Code? cites this paper.
Coding Triangle: How Does Large Language Model Understand Code? Competitive Programming with Large Reasoning Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:15:32.356639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de6ddd58-c8d1-4c1e-8b64-77ba6616c4b5 · inbound
Rethinking Verification for LLM Code Generation: From Generation to Testing cites this paper.
Rethinking Verification for LLM Code Generation: From Generation to Testing Competitive Programming with Large Reasoning Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:58:21.076658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a123188d-a098-497a-8960-3d787a79616a · inbound
Rethinking Verification for LLM Code Generation: From Generation to Testing cites this paper.
Rethinking Verification for LLM Code Generation: From Generation to Testing Competitive Programming with Large Reasoning Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:58:21.079886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bd696b0-af35-491a-bd05-22225f5cf6a0 · inbound
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning cites this paper.
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:26:08.512634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c002421f-92d1-4623-9b82-094a2932aa10 · inbound
Solving Formal Math Problems by Decomposition and Iterative Reflection cites this paper.
Solving Formal Math Problems by Decomposition and Iterative Reflection Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:42:05.884442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95c92c55-e0a9-407c-9898-55306b066785 · inbound
StepFun-Prover Preview: Let's Think and Verify Step by Step cites this paper.
StepFun-Prover Preview: Let's Think and Verify Step by Step Competitive Programming with Large Reasoning Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:47:37.756626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42c01a12-0b8f-491c-bbc5-b0c84ccbab26 · inbound
SSRL: Self-Search Reinforcement Learning cites this paper.
SSRL: Self-Search Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:17:08.011061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1455458b-f84c-44ae-932b-5f09f4cbad13 · inbound
Dream-Coder 7B: An Open Diffusion Language Model for Code cites this paper.
Dream-Coder 7B: An Open Diffusion Language Model for Code Competitive Programming with Large Reasoning Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:56:35.051163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8753fe9-fef7-4f22-9d23-1e4dc5afc420 · inbound
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models cites this paper.
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:17:13.755616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1b2c3af-7ae6-403b-bac2-cec99d88f96d · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models Competitive Programming with Large Reasoning Models
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:02:25.326920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0999756f-6a33-4c27-bead-70db137bb4c1 · inbound
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark cites this paper.
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark Competitive Programming with Large Reasoning Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:52:35.346332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c68cb155-faeb-4da6-bf8c-fb738596cfef · inbound
Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL cites this paper.
Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL Competitive Programming with Large Reasoning Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:44:29.807746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 042ab8e3-56d5-4201-8a7d-d3ae2bf088ee · inbound
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models cites this paper.
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models Competitive Programming with Large Reasoning Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:20:58.215219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0517d095-d571-4a15-8344-df8ba99e3b39 · inbound
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling cites this paper.
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling Competitive Programming with Large Reasoning Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:38:46.237278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69333ba0-4b29-499e-af5c-e7f7b80c7970 · inbound
SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents cites this paper.
SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents Competitive Programming with Large Reasoning Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:53:46.188225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61c0ddbb-1c56-47a2-8e74-816ed380f792 · inbound
Embarrassingly Simple Self-Distillation Improves Code Generation cites this paper.
Embarrassingly Simple Self-Distillation Improves Code Generation Competitive Programming with Large Reasoning Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T14:33:35.834383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62ec5938-c0cb-4c31-89e0-f2ba1a719adf · inbound
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning cites this paper.
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Competitive Programming with Large Reasoning Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:33:16.686666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0d6ef87-69ff-4a89-85dd-0824165bd72d · inbound
Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation cites this paper.
Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation Competitive Programming with Large Reasoning Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:46:19.541829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8dbfb412-0981-4673-a541-462f9b3f4a0b · inbound
Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning cites this paper.
Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning Competitive Programming with Large Reasoning Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:35:39.098340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec967a74-856c-4f48-8bc0-654a31c5ef80 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:05:56.753585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c95700f6-a9b2-49b8-85eb-493617f8bfba · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:41:28.948464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ab984f0-f1e6-4333-acb9-4b6878229743 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:22:23.228104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5601bec8-e68c-416d-b120-a838a4e08a28 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:59:27.870006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6df33421-7414-49b6-8150-3244562b809d · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Competitive Programming with Large Reasoning Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:00:23.421754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b190f90-bf69-4a8a-91df-a642921648e1 · inbound
When Independent Sampling Outperforms Agentic Reasoning cites this paper.
When Independent Sampling Outperforms Agentic Reasoning Competitive Programming with Large Reasoning Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:31:24.683235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0118417a-3e73-45eb-8df0-1e64e5ab5822 · inbound
Learning the Preferences of a Learning Agent cites this paper.
Learning the Preferences of a Learning Agent Competitive Programming with Large Reasoning Models
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:11:27.177045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d48282b5-0eb8-49e8-8d7f-4755749229b6 · inbound
Context Training with Active Information Seeking cites this paper.
Context Training with Active Information Seeking Competitive Programming with Large Reasoning Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:07:53.321483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be960553-289a-4598-92a1-2c0b586d0d77 · inbound
Context Training with Active Information Seeking cites this paper.
Context Training with Active Information Seeking Competitive Programming with Large Reasoning Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:09:48.392107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a483081-dd8a-49a2-8f83-3101c90ede19 · inbound
CLORE: Content-Level Optimization for Reasoning Efficiency cites this paper.
CLORE: Content-Level Optimization for Reasoning Efficiency Competitive Programming with Large Reasoning Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:51:08.235559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 49849608-d296-447f-ac75-2bbd12723399 · inbound
Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism cites this paper.
Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism Competitive Programming with Large Reasoning Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:11.581169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a4b89a5-b275-44fc-923d-6e271ba83dc1 · inbound
CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming cites this paper.
CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming Competitive Programming with Large Reasoning Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:24:40.186769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02da19c4-1998-4137-9021-c492079c7c48 · inbound
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor cites this paper.
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor Competitive Programming with Large Reasoning Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:13:26.705538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ae2de51-3686-4e24-8f72-b0c0ed2da0dc · inbound
Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing cites this paper.
Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing Competitive Programming with Large Reasoning Models
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:06:17.117726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1ebfc060-6a08-4c26-be2e-e5e230a6a45a · inbound
Forecasting Future Behavior as a Learning Task cites this paper.
Forecasting Future Behavior as a Learning Task Competitive Programming with Large Reasoning Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:07:41.314682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00784dc8-6369-48fc-882c-740006e155e1 · 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 Competitive Programming with Large Reasoning Models
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:57:41.619032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c2b7e743-30e6-4245-a79f-bf349fa2d55a · inbound
Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.
Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D Competitive Programming with Large Reasoning Models
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:31:04.320966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be6c5d64-b6d8-46ea-bacc-ca2be6be9ebb · inbound
Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning cites this paper.
Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning Competitive Programming with Large Reasoning Models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:15:35.096517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1344f62d-0cf6-42bc-b9b2-75b65492cdec · inbound
AllocBench: Measuring Online Tool Allocation Capability in LLM Agents cites this paper.
AllocBench: Measuring Online Tool Allocation Capability in LLM Agents Competitive Programming with Large Reasoning Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:50:09.732467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83dbb220-241f-4523-8687-8c4cefa42f49 · inbound
AllocBench: Measuring Online Tool Allocation Capability in LLM Agents cites this paper.
AllocBench: Measuring Online Tool Allocation Capability in LLM Agents Competitive Programming with Large Reasoning Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:53:20.374589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 167cbab3-394e-48cc-9ff8-7cc52e595a52 · inbound
LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.
LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction Competitive Programming with Large Reasoning Models
Reference 162
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:49:43.453537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.