Paper Citation Record · LEDGER

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

As of 20 August 2026, this Paper Citation Record lists 100 of 164 outbound references and 11 inbound Pith citation observations for arXiv:2505.00551.

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

pith.paper-citation-record.v1
2505.00551 v3

Coverage vector

measured 100 of 164 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:44.408738Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:46.353798Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T10:27:02.431242Z

Reference resolution

100 of 164 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 539d1072-9f97-459b-94c5-7a17770fecb0 · outbound

This paper cites write newline.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.653066Z

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Observation 7b45ede3-5bee-4a45-8609-33f85f139e16 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.660637Z

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Observation 737fb8a7-6034-40b5-ba2f-2d8f6dc4fb6c · outbound

This paper cites Back to basics: Revisiting REINFORCE -style optimization for learning from human feedback in LLM s.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Back to basics: Revisiting REINFORCE -style optimization for learning from human feedback in LLM s

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.665427Z

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Observation 33a3da34-7ee6-46b7-a0f3-3e436693dc6f · outbound

This paper cites Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.670016Z

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Observation e654e9a2-1a7a-4f1e-b88a-6aedfa1803be · outbound

This paper cites Concrete Problems in AI Safety.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Concrete Problems in AI Safety

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.675591Z

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Observation fcc8145a-006b-49c0-9d7f-b6a959fe05b1 · outbound

This paper cites Aops wiki:competition ratings.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Aops wiki:competition ratings

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.681164Z

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Observation 94de2831-4712-4f84-b463-4ee6d5318713 · outbound

This paper cites Training language models to reason efficiently, 2025.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Training language models to reason efficiently, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.685923Z

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Observation 70909e96-10be-484f-b6c4-ec5351f37f12 · outbound

This paper cites o3-mini vs DeepSeek-R1: Which One is Safer?.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models o3-mini vs DeepSeek-R1: Which One is Safer?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.692600Z

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Observation af693a3e-e438-4504-8094-8afd781e87a6 · outbound

This paper cites Bespoke-stratos: The unreasonable effectiveness of reasoning distillation.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Bespoke-stratos: The unreasonable effectiveness of reasoning distillation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.698742Z

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Observation aa9cdd5d-fd91-406a-aa1d-a25151abec72 · outbound

This paper cites Seed-thinking-v1.5: Advancing superb reasoning models with reinforcement learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Seed-thinking-v1.5: Advancing superb reasoning models with reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.705095Z

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Observation a341fbb0-cda3-4f41-842b-17b079732d41 · outbound

This paper cites xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.709923Z

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Observation e8fb42a0-2d4d-4977-a683-767cd202b69b · outbound

This paper cites FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.716688Z

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Observation 5977f55c-6888-45e0-971d-2879b09060ea · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Extending Context Window of Large Language Models via Positional Interpolation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.726938Z

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Observation 235a3bdc-f2ac-490e-b2bd-e46f64d65e1f · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.734066Z

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Observation 9bda6d7d-b413-499a-aa0a-b04a3300dce2 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.740471Z

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Observation 9950968d-2503-4b3d-951f-3c365170bf79 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.745341Z

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Observation f9445de0-8023-4fc4-9509-4ad79f9fb677 · outbound

This paper cites Gpg: A simple and strong reinforcement learning baseline for model reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Gpg: A simple and strong reinforcement learning baseline for model reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.753574Z

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Observation f68977e9-67bf-4d12-aec5-ae17b98c33c2 · outbound

This paper cites Qwen2-Audio Technical Report.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Qwen2-Audio Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.758427Z

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Observation 4846c4d0-69cd-442b-88f6-4765013aaede · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 19

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Observation d9fa991f-8f09-4fb8-87b8-1f122e2e85fe · outbound

This paper cites Process Reinforcement through Implicit Rewards.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Process Reinforcement through Implicit Rewards

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.770838Z

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Observation c0d52865-b231-429b-b59c-60801388833e · outbound

This paper cites Graph-Based Multimodal Contrastive Learning for Chart Question Answering.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Graph-Based Multimodal Contrastive Learning for Chart Question Answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.953062Z

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Observation 9bd0dc57-facd-48dd-8928-45bc8c6ef586 · outbound

This paper cites Ai as algorithm designer: Teaching llms to improve sorting through trial and error in grpo.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Ai as algorithm designer: Teaching llms to improve sorting through trial and error in grpo

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.958215Z

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Observation fc382601-9c73-468a-91ee-18e603a66191 · outbound

This paper cites Teaching language models to invent or optimize efficient sudoku algorithms through reinforcement learning, 3 2025 b.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Teaching language models to invent or optimize efficient sudoku algorithms through reinforcement learning, 3 2025 b

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.963622Z

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Observation fa3f1e1f-ee3d-482b-b7de-ae5f61ab6369 · outbound

This paper cites Teaching language models to solve sudoku through reinforcement learning, 3 2025 c.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Teaching language models to solve sudoku through reinforcement learning, 3 2025 c

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.967613Z

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Observation 68a90ae2-7eda-4475-bbf7-f4748bd22c03 · outbound

This paper cites Security and privacy challenges of large language models: A survey.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Security and privacy challenges of large language models: A survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.970955Z

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Observation 842c4169-4948-4a16-b1ef-fcfba4180718 · outbound

This paper cites DeepSeek-V3 Technical Report.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models DeepSeek-V3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.976613Z

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Observation 91a398ea-39f4-471e-9915-14d4d3093035 · outbound

This paper cites Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.981170Z

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Observation 15ed7328-d0ea-4d23-b07b-6259ad79cc68 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.986239Z

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Observation 7d6325cf-c9c2-4a59-bb4a-59bedf5c1323 · outbound

This paper cites Rl, reasoning & writing - grpo on base model.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Rl, reasoning & writing - grpo on base model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.993212Z

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Observation 10c16ef4-b66c-4c1c-92f3-71d812140c20 · outbound

This paper cites Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.001435Z

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Observation e165a717-3b67-4b88-b811-db7d64cf7964 · outbound

This paper cites Virgo: A Preliminary Exploration on Reproducing o1-like MLLM.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.006174Z

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Observation a2ad7230-6a31-4da7-be4c-ae366e42e6d4 · outbound

This paper cites Reinforcement Learning with a Corrupted Reward Channel.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Reinforcement Learning with a Corrupted Reward Channel

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.019777Z

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Observation 9291da73-4fc6-4dca-b42d-1a1de474dd68 · outbound

This paper cites Reward tampering problems and solutions in reinforcement learning: A causal influence diagram perspective.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Reward tampering problems and solutions in reinforcement learning: A causal influence diagram perspective

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.025443Z

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Observation 06504b25-192d-4195-bbf4-a58ab1f83f72 · outbound

This paper cites Reasoning Does Not Necessarily Improve Role-Playing Ability.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Reasoning Does Not Necessarily Improve Role-Playing Ability

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.032419Z

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Observation 3680ba6f-d40b-4cd3-a2c6-0a43099e1473 · outbound

This paper cites MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.037426Z

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Observation 8d52c3e7-5fb4-44d5-9ecc-e8f3e5dd051e · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.045196Z

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Observation c8791a3b-9453-4a93-81df-3f1645c89627 · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.050673Z

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Observation b75ba7e0-d583-433a-b684-a9e26f4c86c6 · outbound

This paper cites The Llama 3 Herd of Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models The Llama 3 Herd of Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.056956Z

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Observation b8e9d880-62e1-42dd-9f0c-435166cbec4c · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.061399Z

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Observation a5ca0d26-8934-405b-a674-102b5789d6e1 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.071707Z

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Observation 1d6279c5-b26a-45cd-873b-c5e51377c159 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.082711Z

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Observation dab3e8d5-0853-44ff-8370-0c71dc4c0d84 · outbound

This paper cites Skywork open reaonser series.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Skywork open reaonser series

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.087659Z

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Observation 36b44c6e-d536-4be2-a50f-6b218cab3c47 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.092433Z

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Observation 9d0e7856-73f4-4ed7-8bd3-d410e6b5035b · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.099187Z

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Observation 3d6368f4-43fa-4ac0-900c-1c5cef74b7dd · outbound

This paper cites A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.105789Z

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Observation 264223ce-1e6f-4a4f-a21c-bc173a677681 · outbound

This paper cites Curatedthoughts: Data curation for rl training datasets, 2025 b.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Curatedthoughts: Data curation for rl training datasets, 2025 b

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.110512Z

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Observation e704c7ad-f7a5-4fa3-aa49-08195c4722c9 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.115501Z

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Observation 7919bc4a-540c-4556-8b10-0fa91a12a07f · outbound

This paper cites Open-reasoner-zero: An open source approach to scaling reinforcement learning on the base model.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Open-reasoner-zero: An open source approach to scaling reinforcement learning on the base model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.120856Z

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Observation dc8a8724-a5cc-4de1-932a-8be56b37bd1d · outbound

This paper cites RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.124530Z

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Observation 2742fabe-428d-4cfc-9ca8-4c6dfdeafd59 · outbound

This paper cites Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.129405Z

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Observation 9b758c15-4145-4132-b9c1-afb7fa7159b5 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.133728Z

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Observation 81325677-905f-4287-9ffb-5f781852b2b4 · outbound

This paper cites Ii-thought : A large-scale, high-quality reasoning dataset.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Ii-thought : A large-scale, high-quality reasoning dataset

Reference 53

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Observation 94593af2-4786-4bbf-966a-26c4180612fa · outbound

This paper cites OpenAI o1 System Card.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models OpenAI o1 System Card

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.144299Z

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Observation 2b8911b6-556d-4591-be50-69962d61e3cc · outbound

This paper cites Rlsf: Reinforcement learning via symbolic feedback.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Rlsf: Reinforcement learning via symbolic feedback

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.149253Z

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Observation e4e1ff9e-115f-4005-a912-78a432dafbfd · outbound

This paper cites SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.154696Z

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Observation c15495c8-f115-4aa3-bb20-e30f3f6da3e2 · outbound

This paper cites Challenges and Applications of Large Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Challenges and Applications of Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.159814Z

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Observation b55d0dec-73e3-4d7c-918b-40de3708833d · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.165181Z

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Observation 8fd814f1-5d9f-420c-8655-7239f1518449 · outbound

This paper cites Overthink: Slowdown attacks on reasoning llms.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Overthink: Slowdown attacks on reasoning llms

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.170960Z

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Observation d7479e89-db88-42e0-be82-2cc3d1119f42 · outbound

This paper cites H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.183385Z

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Observation 5991164e-8c26-405b-b9c5-f9f3c0aa6e6b · outbound

This paper cites Math-verify: Math verification library, 2024.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Math-verify: Math verification library, 2024

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.190597Z

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Observation 332fcf98-a569-44f1-a0ea-be3d802202b5 · outbound

This paper cites mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.195659Z

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Observation e60b414b-4b68-4c0c-8972-bab8c3b42498 · outbound

This paper cites Introducing superalignment.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Introducing superalignment

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.202387Z

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Observation 5e73aa25-0587-4aac-a69a-6e59d6163a0a · outbound

This paper cites Exaone deep: Reasoning enhanced language models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Exaone deep: Reasoning enhanced language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.206947Z

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Observation 60de9cde-9c75-4160-9e52-0c8fde14d64b · outbound

This paper cites Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.212452Z

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Observation 4d2baa89-6623-4f8f-82aa-17b6953abd41 · outbound

This paper cites Numinamath.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Numinamath

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.217133Z

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Observation ccb18a27-11ac-4e4d-9b38-88f173ee4f50 · outbound

This paper cites TACO: Topics in Algorithmic COde generation dataset.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models TACO: Topics in Algorithmic COde generation dataset

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.223637Z

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Observation 14a587b3-fe87-4db8-9ebb-748a1039dd17 · outbound

This paper cites Large Language Models Can Self-Improve in Long-context Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Large Language Models Can Self-Improve in Long-context Reasoning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.229927Z

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Observation 3f16efdf-be7c-48aa-bbfc-13374a57dd7c · outbound

This paper cites Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.234950Z

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Observation bb5e8f2f-9fcf-4fb2-a0e4-46bbdeb4f310 · outbound

This paper cites LIMR: Less is More for RL Scaling.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models LIMR: Less is More for RL Scaling

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.239798Z

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Observation 8c52a279-373d-4c57-aa91-d593b5b4e3b8 · outbound

This paper cites Output Length Effect on DeepSeek-R1's Safety in Forced Thinking.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Output Length Effect on DeepSeek-R1's Safety in Forced Thinking

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.243755Z

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Observation 59986456-26a4-49de-8c40-e5c2807722e3 · outbound

This paper cites Small models struggle to learn from strong reasoners.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Small models struggle to learn from strong reasoners

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.247422Z

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Observation 9424f790-a9de-4953-8fb5-eb7d4cdf526a · outbound

This paper cites A survey of multimodel large language models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models A survey of multimodel large language models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.251211Z

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Observation 1bf94511-93a2-499a-9dc3-7b262485f806 · outbound

This paper cites ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.255840Z

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Observation cb84d433-49da-4ddb-8d63-5f4ec874af0b · outbound

This paper cites Cppo: Accelerating the training of group relative policy optimization-based reasoning models, 2025 b.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Cppo: Accelerating the training of group relative policy optimization-based reasoning models, 2025 b

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.260455Z

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Observation bc0d6079-6d76-4cfb-9aae-20c604b4ff1e · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Code-r1: Reproducing r1 for code with reliable rewards

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.265382Z

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Observation 3496bbc7-00de-4828-a669-bd813145e4e5 · outbound

This paper cites Diving into Self-Evolving Training for Multimodal Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Diving into Self-Evolving Training for Multimodal Reasoning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.269509Z

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Observation 9ca07818-0809-4e4c-bdfc-d31e0c5db510 · outbound

This paper cites Guardreasoner: Towards reasoning-based llm safeguards.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Guardreasoner: Towards reasoning-based llm safeguards

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.274565Z

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Observation 94eeefe6-ae10-40f3-abdc-2618ca81a267 · outbound

This paper cites There may not be aha moment in r1-zero-like training — a pilot study.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models There may not be aha moment in r1-zero-like training — a pilot study

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.279831Z

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Observation 4b2a3a0b-18ad-4406-8525-a2b1c50b5294 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.286554Z

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Observation 4cb61198-0b13-4456-b6e9-17cd2c61a76c · outbound

This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Deepcoder: A fully open-source 14b coder at o3-mini level

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.293430Z

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Observation 498f85de-3130-4e88-8950-cb711b149688 · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Tianjun Zhang, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Tianjun Zhang, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.297852Z

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Observation ba918591-2bd3-4234-b5e5-24366a42275f · outbound

This paper cites Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.302502Z

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Observation 21f50789-98d9-4c5f-ba51-f3255275429c · outbound

This paper cites S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.306712Z

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Observation 52293daa-1209-4ad3-ad7a-f8bc2b0277cf · outbound

This paper cites Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.310863Z

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Observation 203b37a9-0ece-4088-8dba-772aae9fc564 · outbound

This paper cites Synthetic-1: Two million collaboratively generated reasoning traces from deepseek-r1, 2025.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Synthetic-1: Two million collaboratively generated reasoning traces from deepseek-r1, 2025

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.316099Z

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Observation 52bd7f95-618f-4bea-8cde-bd8ea93d63b9 · outbound

This paper cites s1: Simple test-time scaling.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models s1: Simple test-time scaling

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.320176Z

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Observation f8786328-0db2-4dc0-8151-e9e2c3f9fbb5 · outbound

This paper cites CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.325608Z

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Observation 90a9eb36-f8c6-4273-ab7d-16aa9933bfde · outbound

This paper cites Spirit-lm: Interleaved spoken and written language model.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Spirit-lm: Interleaved spoken and written language model

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.329887Z

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Observation 5e08302b-f578-4164-bca1-4c07b65cc56a · outbound

This paper cites Gpt-4o system card, August 2024.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Gpt-4o system card, August 2024

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.333747Z

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Observation 94a7770e-8221-46bd-97e8-37b142f98e7b · outbound

This paper cites Introducing openai o3 and o4-mini, 2025.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Introducing openai o3 and o4-mini, 2025

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.338042Z

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Observation 8bb88ca0-4883-4445-a83e-6e7374252f7f · outbound

This paper cites Open Thoughts.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Open Thoughts

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.344468Z

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Observation 0c7bc8b6-6ca1-4e87-b5bf-d7b80afbf320 · outbound

This paper cites Training language models to follow instructions with human feedback.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Training language models to follow instructions with human feedback

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.351074Z

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Observation 2ef7f58a-5a65-41e8-a0cd-20f4f5801c74 · outbound

This paper cites The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.362469Z

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Observation 0bc5f446-4463-48de-a024-fa8be02cf558 · outbound

This paper cites Tinyzero.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Tinyzero

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.370194Z

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Observation 5372249b-0709-40fe-880c-5eec9d852c48 · outbound

This paper cites Codeforces.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Codeforces

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.379471Z

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Observation 06719fe8-cfc3-4917-b2c2-8699f22cad61 · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

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Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.385068Z

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Observation c8c7723f-ef14-454f-afd2-358cdb54fec0 · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown, November 2024.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Qwq: Reflect deeply on the boundaries of the unknown, November 2024

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.393377Z

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Observation f967b2d8-ea1a-4767-84a9-440d24fe44b7 · outbound

This paper cites Qwen3: Think deeper, act faster, 2025 a.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Qwen3: Think deeper, act faster, 2025 a

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.397390Z

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Observation 0e9f0f9f-edce-4c41-9927-3e9ab03d65a9 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, 2025 b.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Qwq-32b: Embracing the power of reinforcement learning, 2025 b

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.402354Z

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Observation c4bff36c-2ddb-4015-990d-ffda5b89905e · outbound

This paper cites Manning, and Chelsea Finn.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Manning, and Chelsea Finn

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:44.408738Z

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Pith citing papers

Observation e17fa188-ac60-485a-8b92-9650eba75225 · inbound

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Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:46.353798Z

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Observation fbd93588-3794-49d2-b589-10b7e5da2a54 · inbound

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning cites this paper.

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:19.843039Z

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Observation 41b48aa1-d17b-4230-8db2-f10c5ecc337c · inbound

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Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:11.242194Z

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Observation 426d76a5-1199-4889-a3fb-0e9c2a936848 · inbound

WebDancer: Towards Autonomous Information Seeking Agency cites this paper.

WebDancer: Towards Autonomous Information Seeking Agency 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:59.831868Z

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Observation 71613651-96da-44e0-bf60-01d6a1a7ebf9 · inbound

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Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.860058Z

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Observation 0404d396-0421-4503-b026-64648534fb39 · inbound

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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 238

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:18.056863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959f1a18-0010-458e-a947-05e298a39acd · inbound

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization cites this paper.

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:42.618381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3712cee-75c6-4c3d-ab03-29e56857fac0 · inbound

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:46:18.945828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4c8a8ab-0d59-4890-a6fe-6f8b65bba7fe · inbound

Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction cites this paper.

Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:09.438194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cfe54ec-dac8-4315-9e43-a6338af90cf7 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.444066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc303744-dedc-4b76-b87f-a00cd8383882 · inbound

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T10:27:02.432515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.