Paper Citation Record · LEDGER

Competitive Programming with Large Reasoning Models

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 64 inbound Pith citation observations for arXiv:2502.06807.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.06807 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:13:58.102702Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 64 of 64 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:05.902399Z

measured 1 of 1 external citation measurements

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

Observation 19866f1b-ecc2-4b6a-bb31-d1d3e558b077 · inbound

CEC-Zero: Chinese Error Correction Solution Based on LLM cites this paper.

CEC-Zero: Chinese Error Correction Solution Based on LLM Competitive Programming with Large Reasoning Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:44:05.902399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e7e482e-b771-432d-a4aa-af457679c80c · inbound

LLMs unlock new paths to monetizing exploits cites this paper.

LLMs unlock new paths to monetizing exploits Competitive Programming with Large Reasoning Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:10.302468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b9e282-66cf-47d6-89d1-9fcb22f8c7b8 · inbound

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems cites this paper.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Competitive Programming with Large Reasoning Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:13.476131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 f1cc0fa0-e105-4927-ab05-64f70375c72a · inbound

Eliminating Hallucination-Induced Errors in LLM Code Generation with Functional Clustering cites this paper.

Eliminating Hallucination-Induced Errors in LLM Code Generation with Functional Clustering Competitive Programming with Large Reasoning Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:56:36.009540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9022a234-6e97-4e6c-96b6-c67fd3edada0 · inbound

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning cites this paper.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Competitive Programming with Large Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:19.467637Z

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

Observation 305fd4f6-8b56-4661-8da4-94f707678c9d · inbound

TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization cites this paper.

TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization Competitive Programming with Large Reasoning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:59:54.133078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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.