Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:40:30.140719Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2512.10739.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T06:40:30.140719Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7b201fa7-2edf-4822-bc7c-96f7908bcbc1 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Reference 1
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Observation 4e30123f-1e0f-461c-bef2-97d05a189f2a · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Intern-s1: A scientific multimodal foundation model.arXiv preprint arXiv:2508.15763, 2025
Reference 2
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Observation efbee071-935c-4cbe-b658-be0b4f3f058e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Reference 3
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Observation 29799628-afe5-4a3d-9348-6e5c57770324 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving
Reference 4
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Observation 979f597f-44f8-4126-aa3c-bf3e5dacc73e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Evaluating Large Language Models Trained on Code
Reference 5
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Unavailable: canonical work link unavailable.
Observation 24574ada-0b90-40c2-8cac-349d5496bbd8 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 6
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Observation 73278f5f-43d5-42d5-bd87-3427e81b5fd7 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Advanced version of gemini with deep think officially achieves gold-medal standard at the international mathematical olympiad, 2025
Reference 7
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Observation 835dc669-3e1f-4893-9f4f-15008906d575 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Reference 8
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Observation 1583c6ec-1618-4414-a522-ef5c0234287a · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 9
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Observation 729f308b-1a61-4b24-b3f5-584588604f3b · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Hmmt february problem archive.https://www.hmmt.org/ www/tournaments/testing
Reference 10
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Observation 2cfff7d0-c4fc-4186-9736-e6af98a8b8f0 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
Reference 11
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Observation b2792294-7191-4a69-bfe7-1eb41359ea78 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Gemini 2.5 pro capable of winning gold at imo 2025.arXiv preprint arXiv:2507.15855, 2025
Reference 12
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Observation ae9d5220-c9a0-4ad3-9512-a51abf8654d2 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving A survey of frontiers in llm reasoning: Inference scaling, learning to reason, and agentic systems.Trans
Reference 13
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Observation 2ebcdcce-ecc9-4caa-a902-5544966723a6 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Prover-Verifier Games improve legibility of LLM outputs
Reference 14
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Observation 93227744-8493-4868-8185-a193fa6cf660 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Reference 15
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Observation d543d618-6245-4541-a094-87a016794b19 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ToRL: Scaling Tool-Integrated RL
Reference 16
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Observation f1165099-4e1e-472f-b650-fef726a1aa97 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Compassverifier: A unified and robust verifier for llms evaluation and outcome reward
Reference 17
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Observation da937472-cdc1-490a-beb9-4b79cd4fbc57 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Reference 18
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Observation aa1c584d-1889-43a7-90f1-4d6295cc8023 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Agent rl scaling law: Agent rl with spontaneous code execution for mathematical problem solving,
Reference 19
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Observation fe2d36aa-692b-4d64-ad4f-0bf512bc21cf · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving American invitational mathematics examination (aime) problems and solutions.https://maa.org/student-programs/amc/
Reference 20
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Observation d053c4c5-5559-4bd8-850b-48cec6049235 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Malt: Improving reasoning with multi-agent llm training.ArXiv, abs/2412.01928, 2024
Reference 21
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Observation 9a4a0a4a-c032-4bc5-95e3-127d9a40499e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving s1: Simple test-time scaling
Reference 22
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Observation 475e95e1-0d9c-436a-a578-77bf2bb3f67e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Introducing openai o3 and o4-mini, 2025
Reference 23
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Observation 10b45ed2-0b4f-4e54-8e93-e826ab1495af · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving gpt-oss-120b & gpt-oss-20b Model Card
Reference 24
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Observation 7dd3c732-b590-4a79-94e9-a8e8d06217cb · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Openai imo 2025 proofs, 2025
Reference 25
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Observation 3f1be116-8a29-4246-9df0-8330539a4fd0 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 26
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Observation 4c4f4155-107f-4702-bed7-c21e665bb296 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Reference 27
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Observation 03de0ad8-bd7c-4deb-9eb4-a8e79f32dea3 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving rStar2-Agent: Agentic Reasoning Technical Report
Reference 28
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Unavailable: canonical work link unavailable.
Observation e3f43e40-60a2-41cd-b675-8500ca787fd4 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 29
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Unavailable: canonical work link unavailable.
Observation 00be9321-a837-47be-bf23-06498554a1b7 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Satori-r1: Incentivizing multimodal reasoning with spatial grounding and verifiable rewards.arXiv preprint arXiv:2505.19094, 2025
Reference 30
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Observation e0ffad19-3c3c-4541-8f1f-17837f6a4a8e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving A survey of reasoning with foundation models: Concepts, methodologies, and outlook.ACM Computing Surveys, 57(11):1–43, 2025
Reference 31
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Observation bd427e85-4ef1-4d32-891b-17ab59710af9 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Plan-and- solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Reference 32
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Observation 4884c081-abb6-484b-97b8-4ca30140d06d · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving A Survey on Large Language Models for Mathematical Reasoning
Reference 33
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Observation f707769d-30a2-4b07-897c-127aaf196d40 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving OPV: Outcome-based process verifier for efficient long chain-of-thought verification
Reference 34
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Observation 182acec9-b37b-482a-a6a6-03e50247561d · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Grok 4, 2025
Reference 35
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Observation ffdce025-c348-45d2-87ba-e02f69d451e8 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Qwen3 Technical Report
Reference 36
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Observation 741bd985-9344-4848-9c55-1d873f5a24ec · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 37
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Observation 955d0567-4898-445d-a39e-c52286bacebd · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Reinforce LLM Reasoning through Multi-Agent Reflection
Reference 38
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Observation 5762b5d4-e3ab-44c7-949a-91706f00eabc · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Reference 39
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Observation ca0b9613-7d1b-4a01-86e6-6041655acc47 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Reference 40
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Observation 55537287-1e32-4ea5-97b8-a6533ee96552 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Reference 41
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Observation d047db71-af55-4f75-9d6a-289ac171181e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models
Reference 42
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Observation 8f8665b6-ba14-4e32-bf36-4f742ab48380 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Automatic Chain of Thought Prompting in Large Language Models
Reference 43
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Observation 49fcb739-e383-416b-be90-8b35cff3e367 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ProcessBench: Identifying Process Errors in Mathematical Reasoning
Reference 44
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Observation 4e9bcd08-b089-48c3-8c6d-c1f9be82ef9f · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Reference 45
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Observation 2e3f882a-6262-46a8-8af9-8937dd02f28a · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Solving Formal Math Problems by Decomposition and Iterative Reflection
Reference 46
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Observation 1e32ba23-e977-4d6d-861d-4a76e99e4246 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving TTRL: Test-Time Reinforcement Learning
Reference 47
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Observation 9d94b487-8f8e-44e6-8fe8-f3171af6113b · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving The scientific ideas, methodology, analyses, and conclusions were entirely developed by the authors, while the LLMs assisted only in improving clarity and readability of the text
Reference 50
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Observation aba29485-3414-42eb-b095-8d676f0eee38 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving * The final answer is secondary to the correctness of the derivation
Reference 51
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Observation c2e5f316-f9ae-4477-9ad1-67ef353dd8f7 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving * If you cannot provide a complete solution, you must provide any significant ˓→partial results that you can prove with full rigor
Reference 52
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Observation 2c441329-c712-4fdf-a2ab-122500e0be93 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving I have found a complete ˓→solution. The answer is
Reference 53
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Observation 21cf8029-2865-44e1-99e9-06e352a4db53 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 54
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Observation 0327cfc5-087b-4c27-b6e8-03e36f0179c5 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 55
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Observation fc01cb61-3b3a-4d6c-9874-01db9a423a62 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving **Your output must adhere to the following principles and format:** #### **A
Reference 56
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Observation 58a4399b-03cb-45fe-bd37-aeebf37aa015 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Do not include lemmas from the ‘Provided Lemmas‘ if the model ˓→utilises them
Reference 57
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Observation 167a5099-19e9-44c8-a8b0-57467b6751c5 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving #### **B
Reference 58
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Observation 76dd74b7-a8cb-49b0-abd4-61bce7dc90e4 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving The number of ‘<lemma>...</lemma>‘ environments must match the ˓→number of lemmas extracted in this round
Reference 59
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Observation 234b8392-8a1d-4c6c-84b3-471cc6309105 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 60
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Observation 90e99fdb-137e-414b-b7ff-7434b1c24b8d · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 61
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Observation 4782ea6f-c436-4a6c-9bb3-bdd4f595c82c · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving - A key part of your evaluation is to verify that any use of a lemma from the Provided ˓→Lemmas library is correctly applied and that its preconditions are satisfied
Reference 62
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Observation 86ec3dbb-a847-4be4-8be6-d1cb00e8079a · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 63
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Observation 0853bf74-cb15-434a-b4ad-b93c5f1bf5ff · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 64
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Observation 342af898-8b81-49fd-b8f0-3f3c45e78d86 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving I have not found a complete solution
Reference 65
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Observation 40df3174-8bab-4666-bd82-5a12c079db0e · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Isosceles-Free Sets Three points form an isosceles triangle if and only if one of them is equidistant from the other two
Reference 66
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Observation 9496281c-b160-4740-aba9-22e202588db8 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Hence,(0,1)/∈𝒯
Reference 67
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Observation 63a6d8fd-2927-4f0d-81c1-0c5092177c9d · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Unresolved cited work
Reference 2023
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Observation 7dcb72e0-1c50-4f99-8526-881157608874 · outbound
Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving
Reference 2025
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No inbound Pith citation observations are available.