Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T19:21:42.081762Z
Paper Citation Record · LEDGER
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 34 inbound Pith citation observations for arXiv:2504.01943.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:31:49.077304Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
27 of 27 outbound references displayed
- verified exact11
- verified fuzzy4
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch11
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 034c7843-5fca-4a69-ab51-9edfa4b13245 · outbound
This paper cites Unified pre-training for program understanding and generation.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Unified pre-training for program understanding and generation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:21:42.207866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b505c3c5-206a-4d26-8bb7-26a29392c825 · outbound
This paper cites doi: 10.18653/v1/2021.naacl-main.211.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding doi: 10.18653/v1/2021.naacl-main.211
Reference 2
- Resolution
- verified exact
- doi, observed 2026-05-17T19:21:42.115156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fe0d961-e305-4963-8b52-ebffa4af5f8f · outbound
This paper cites Program Synthesis with Large Language Models.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Program Synthesis with Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T19:21:42.161275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d012bf4d-6780-4506-9300-ebfd9a1f7f8f · outbound
This paper cites Evaluating Large Language Models Trained on Code.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Evaluating Large Language Models Trained on Code
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.169684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a2e71d8e-7606-43d6-80e6-042a3c4bd402 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.194865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d12ce6b-0817-4ba6-8a13-50ed2910f349 · outbound
This paper cites The Llama 3 Herd of Models.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding The Llama 3 Herd of Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T19:21:42.119201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0cff3334-cc8f-4673-b3c9-6c9fa83a8df2 · outbound
This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T19:21:42.123391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cdd673d8-b226-4c72-b0be-3ada2c41b678 · outbound
This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.127492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 496de45c-8ce7-4976-8186-20c61f7c1b8f · outbound
This paper cites Qwen2.5-Coder Technical Report.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Qwen2.5-Coder Technical Report
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.131598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5a2fce0f-95e3-4ddc-bfe8-8e54a9f6eee1 · outbound
This paper cites Diederik P.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Diederik P
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:21:42.200055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 48f52710-73d5-4b9a-80ed-d4e1dec98620 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Adam: A Method for Stochastic Optimization
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.135922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7878528f-d02e-4c75-b080-5e90d4d5c33f · outbound
This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.140525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df2e1a83-f290-4a3b-a52d-88066c18bae9 · outbound
This paper cites Teaching Small Language Models to Reason.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Teaching Small Language Models to Reason
Reference 13
- Resolution
- metadata mismatch
- doi, observed 2026-05-17T19:21:42.101745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5fa879c9-09f4-48e6-9b8a-e7f258e56ab6 · outbound
This paper cites Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T19:21:42.144307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fd4beb38-9482-40dd-9708-4836bf3835da · outbound
This paper cites s1: Simple test-time scaling.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding s1: Simple test-time scaling
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T19:21:42.148516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15391803-77b5-400d-9a12-b3597edf7861 · outbound
This paper cites https://arxiv.org/abs/2410.03131.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding https://arxiv.org/abs/2410.03131
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.153340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38a2c5fe-9cb5-490c-80c4-cbec94e6d2e5 · outbound
This paper cites Code Llama: Open Foundation Models for Code.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Code Llama: Open Foundation Models for Code
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.157086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45bec1cb-c7ab-4bc4-84e3-96b8f24e7655 · outbound
This paper cites Scaling test-time compute without verification or RL is suboptimal.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Scaling test-time compute without verification or RL is suboptimal
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:21:42.202729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40925960-7ef7-471c-996d-d81765b6e95d · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T19:21:42.165575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fab63aec-9270-4d58-991c-04d8a3014443 · outbound
This paper cites https://novasky-ai.github.io/posts/sky-t1, 2025a.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding https://novasky-ai.github.io/posts/sky-t1, 2025a
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:21:42.205330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 83b6ae2c-109d-4c44-b20e-e469d1d52ca2 · outbound
This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Smith, Daniel Khashabi, and Hannaneh Hajishirzi
Reference 21
- Resolution
- metadata mismatch
- doi, observed 2026-05-17T19:21:42.112066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1ce53576-c18e-4084-9cfa-4c77db04e93f · outbound
This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T19:21:42.179291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b1313d2-3f26-402b-a9c0-b253eaecc144 · outbound
This paper cites InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.174092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 247b2d95-bd10-49f6-a353-eb33305b3478 · outbound
This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.185923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 168ccc8c-3374-4594-be38-0393a235f81f · outbound
This paper cites KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T19:21:42.190903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8592be52-f4ee-499c-95ba-ed5e65a637a5 · outbound
This paper cites doi: 10.18653/v1/2024.acl-long.280.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding doi: 10.18653/v1/2024.acl-long.280
Reference 26
- Resolution
- verified exact
- doi, observed 2026-05-17T19:21:42.108999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d88d0346-6639-4ddb-b561-73803388069e · outbound
This paper cites an unresolved cited work.
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:21:42.197683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation ba5d8662-3a50-4e92-94ad-47d1bf41c7e3 · 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 OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 265568c8-4818-4423-85b9-faf4ff752cbe · inbound
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model cites this paper.
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e3744071-4d21-4658-8ae9-0b23bb43ca5c · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:02:24.827606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e68836ff-0c34-4889-8272-4b1138e8f878 · inbound
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 94
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:06:13.926458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb50c0e3-7c6a-4401-9a99-147dea01ef50 · inbound
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment cites this paper.
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:20:54.609566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f641373d-79a8-4a93-8096-17d3b45e4b21 · inbound
Scaling Latent Reasoning via Looped Language Models cites this paper.
Scaling Latent Reasoning via Looped Language Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ef7c1d4-8903-4b01-a338-f373a04c3f01 · inbound
Scaling Latent Reasoning via Looped Language Models cites this paper.
Scaling Latent Reasoning via Looped Language Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:31:49.077304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3378c667-ca14-4ca9-bad0-25962ca136af · inbound
NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.
NVIDIA Nemotron 3: Efficient and Open Intelligence OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 144
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T01:40:42.658275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 412e0bad-78e8-4a32-b565-13bee60f0446 · inbound
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers cites this paper.
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:08:39.921253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b92af86f-bbc1-4d0e-951b-60ceee2b73d1 · inbound
Think Anywhere in Code Generation cites this paper.
Think Anywhere in Code Generation OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c67807f-b8aa-4cd5-a662-13b6c69333fe · inbound
InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.
InCoder-32B-Thinking: Industrial Code World Model for Thinking OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e787cad5-d25c-47a1-9f42-cdcebaea56d3 · inbound
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions cites this paper.
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 262aa9f5-4f3c-428a-83f8-d23d77df096c · inbound
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data cites this paper.
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 48b11b14-687f-4bb0-b693-25b7ecfdddf3 · inbound
TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models cites this paper.
TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b453c39-0453-42ef-8013-25aa6016b6de · inbound
How Robustly do LLMs Understand Execution Semantics? cites this paper.
How Robustly do LLMs Understand Execution Semantics? OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75002a36-042b-45ec-bb86-7a95647c8c87 · inbound
Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction cites this paper.
Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d40296a1-7795-4449-9ab4-cc66a903c61a · inbound
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 97139556-fbbf-4619-8bd8-b9cf95b9e09e · inbound
Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective cites this paper.
Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6513e037-cd2f-49b6-a4d4-52f0c8e7ec7a · inbound
Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning cites this paper.
Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab03f760-0dd7-4460-b95f-e76890136eff · inbound
Teaching Language Models to Think in Code cites this paper.
Teaching Language Models to Think in Code OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea73b834-70d8-46e7-8258-7785c157beda · inbound
Teaching Language Models to Think in Code cites this paper.
Teaching Language Models to Think in Code OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 443fec1d-deea-4bba-b97c-504d83df287c · inbound
Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling cites this paper.
Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 28aa11fe-12a4-46c1-8d97-bb4f4d98c5c5 · inbound
Scalable Token-Level Hallucination Detection in Large Language Models cites this paper.
Scalable Token-Level Hallucination Detection in Large Language Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:21:42.208861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 667512c3-3538-4629-8a36-0a65e521759f · inbound
PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence cites this paper.
PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:23:14.208731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cde355bb-ead3-4d2f-8909-8f922d09c43f · inbound
Learning to Adapt SFT Data for Better Reasoning Generalization cites this paper.
Learning to Adapt SFT Data for Better Reasoning Generalization OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T18:23:51.100816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 37dabeb0-5595-408a-85bd-d53fac222d20 · inbound
BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution cites this paper.
BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:36:14.662668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f40c7ad6-31d6-4e91-9a35-1f6e97d5ddee · inbound
Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models cites this paper.
Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T01:31:28.816460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e904a2e9-72c1-4e84-bf91-00b62c4f64da · inbound
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It cites this paper.
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T13:10:55.894954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e9309eb9-bf6c-4e94-b1ad-13b3146c89f3 · inbound
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning cites this paper.
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T01:00:19.869989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a788558-0adf-42a6-b51f-8926ce51c70e · inbound
SuCo: Sufficiency-guided Continuous Adaptive Reasoning cites this paper.
SuCo: Sufficiency-guided Continuous Adaptive Reasoning OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T21:08:58.569151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65d63c7f-4790-46ec-b478-66f338e44665 · inbound
Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression cites this paper.
Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T19:08:50.036884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4835729b-8690-4a0b-86c8-a45d8579609b · inbound
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms cites this paper.
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:00:08.089925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f56ba7db-30e8-4dcb-9876-c941ff8d6055 · inbound
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms cites this paper.
The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T13:09:50.530490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3657e070-e0cc-4fc3-a21e-15db0c88cc52 · inbound
On-Policy Delta Distillation cites this paper.
On-Policy Delta Distillation OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:00:07.035688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.