Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:42.241838Z
Paper Citation Record · LEDGER
Learning to Reason via Mixture-of-Thought for Logical Reasoning
As of 7 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 8 inbound Pith citation observations for arXiv:2505.15817.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:37:24.974376Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:56:30.043811Z
Reference resolution
66 of 66 outbound references displayed
- verified exact1
- verified fuzzy22
- unresolved40
- parse uncertain1
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 60d20297-a739-47ec-bab8-075e366c0998 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Chain-of-thought prompting elicits reasoning in large language models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:39.915288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaf00f57-7b25-40a1-840f-7dfcce6eb14a · outbound
This paper cites Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.009866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0cf9a3a-ef64-4cb4-8cd8-c149da722006 · outbound
This paper cites Typedthinker: Diversify large language model reasoning with typed thinking.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Typedthinker: Diversify large language model reasoning with typed thinking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.770081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b6347129-0bc6-4bbb-9b86-313bdbb51b44 · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.277744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d040d239-e5da-4be3-b57f-bac6fcc3f08c · outbound
This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.305405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db18f640-dde0-4dfd-aeb5-1a51de18da63 · outbound
This paper cites Scaling LLM test- time compute optimally can be more effective than scaling parameters for reasoning.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Scaling LLM test- time compute optimally can be more effective than scaling parameters for reasoning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.337838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 815ae266-35e2-420e-a94d-d6c98dd83ffc · outbound
This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.412313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9edd47b4-ac57-4155-9936-1d2149c622fa · outbound
This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.488713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 994a9c42-faef-4239-ac86-bea65cb236b3 · outbound
This paper cites Olausson, Alex Gu, Ben Lipkin, Cedegao E.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Olausson, Alex Gu, Ben Lipkin, Cedegao E
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.745664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 04a08381-c07a-4af6-9f47-7883a7c2b2ee · outbound
This paper cites Lee, and Eunho Yang.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Lee, and Eunho Yang
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.732830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0a63efb7-85ad-4dd8-8af4-f657a3140ef5 · outbound
This paper cites Hybridmind: Meta selection of natural language and symbolic language for enhanced llm reasoning.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Hybridmind: Meta selection of natural language and symbolic language for enhanced llm reasoning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.718609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e010be67-be54-4f2a-99a9-7df3306f2c7f · outbound
This paper cites Faithful logical reasoning via symbolic chain-of-thought.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Faithful logical reasoning via symbolic chain-of-thought
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.711734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac1bbebe-3a49-4b67-ad86-ec20d992e5c7 · outbound
This paper cites Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.786824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 323c9510-bb68-4a5d-bf2d-b55021dae1e3 · outbound
This paper cites Prentice- hall Englewood Cliffs, NJ, 1972.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Prentice- hall Englewood Cliffs, NJ, 1972
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.842716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faa2adaf-1ef0-4b3c-9ce9-cdca45133e63 · outbound
This paper cites Structure-mapping: A theoretical framework for analogy.Cognitive science, 7 (2):155–170, 1983.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Structure-mapping: A theoretical framework for analogy.Cognitive science, 7 (2):155–170, 1983
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.898397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60c15d88-eeb7-46c8-b5ea-e1a933e31adb · outbound
This paper cites Why a diagram is (sometimes) worth ten thousand words.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Why a diagram is (sometimes) worth ten thousand words
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.688098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02f43de3-c5f6-4e80-b2c9-828da3eb1140 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-07T15:15:42.290613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a77f2f94-68f8-4133-b99f-8e6594fed57a · outbound
This paper cites Large language model cascades with mixture of thought representations for cost-efficient reasoning.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Large language model cascades with mixture of thought representations for cost-efficient reasoning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.114454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcef8a0c-36ca-4b85-9c92-d508b054789d · outbound
This paper cites ProofWriter: Generating implications, proofs, and abductive statements over natural language.
Learning to Reason via Mixture-of-Thought for Logical Reasoning ProofWriter: Generating implications, proofs, and abductive statements over natural language
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.193019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db6429e0-488b-48b4-bd85-ea7939e13ff9 · outbound
This paper cites FOLIO: Natural language reasoning with first-order logic.
Learning to Reason via Mixture-of-Thought for Logical Reasoning FOLIO: Natural language reasoning with first-order logic
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.250728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be859b07-219f-4f6f-a86c-12c0b52bc610 · outbound
This paper cites Bounded model checking using satisfiability solving.Formal methods in system design, 19:7–34, 2001.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Bounded model checking using satisfiability solving.Formal methods in system design, 19:7–34, 2001
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.656744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7db8b6c7-1a8c-4743-9d74-af82582e9648 · outbound
This paper cites Grounding fo and fo (id) with bounds.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Grounding fo and fo (id) with bounds
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.642330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7befe637-0f39-42db-9903-a36171bc14b0 · outbound
This paper cites Star: Bootstrapping reasoning with reasoning.Advances in Neural Information Processing Systems, 35:15476–15488, 2022.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Star: Bootstrapping reasoning with reasoning.Advances in Neural Information Processing Systems, 35:15476–15488, 2022
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.331478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb93bd05-9d35-4410-9a1c-89cdf1757a79 · outbound
This paper cites Policy gradi- ent methods for reinforcement learning with function approximation.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Policy gradi- ent methods for reinforcement learning with function approximation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.620982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5e72854d-769c-49f3-a610-92255b2d2e42 · outbound
This paper cites Qwen2.5 Technical Report.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Qwen2.5 Technical Report
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.447252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f78fa3-8436-480d-b111-209bf12dfa21 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Gemma 2: Improving Open Language Models at a Practical Size
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.481551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9481aa29-07d9-4097-a80b-d8f6f886566d · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Gonzalez, Hao Zhang, and Ion Stoica
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.516515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 843c0f6b-5d52-47a8-9f2e-a9ee0bd01c33 · outbound
This paper cites Large language models meet symbolic provers for logical reasoning evaluation.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Large language models meet symbolic provers for logical reasoning evaluation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.599023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4cac93ec-e729-4ee1-b413-463b40112e55 · outbound
This paper cites Verus-lm: a versatile framework for combining llms with symbolic reasoning.arXiv preprint arXiv:2501.14540, 2025.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Verus-lm: a versatile framework for combining llms with symbolic reasoning.arXiv preprint arXiv:2501.14540, 2025
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.586596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0c89987-3345-45c4-a251-828ff7a968c4 · outbound
This paper cites Competition-level code generation with alphacode.Science, 378(6624):1092–1097, 2022.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Competition-level code generation with alphacode.Science, 378(6624):1092–1097, 2022
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.621069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aee10dbd-d8e3-476d-89d9-57ec934cc869 · outbound
This paper cites Exploring human-like translation strategy with large language models.Transactions of the Association for Computational Linguistics, 12:229–246, 2024.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Exploring human-like translation strategy with large language models.Transactions of the Association for Computational Linguistics, 12:229–246, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.576257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4d4eaf10-4402-48bf-b737-2e0deddab101 · outbound
This paper cites Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.ArXiv, abs/2410.12853, 2024.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.ArXiv, abs/2410.12853, 2024
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.701845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9438521a-17f6-4655-bf12-70abd47bbdbc · outbound
This paper cites Self-contrast: Better reflection through inconsistent solving perspectives.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Self-contrast: Better reflection through inconsistent solving perspectives
Reference 33
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T15:15:43.563111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation acc4923a-65ee-4c49-b0f4-8bb8e22ca0ea · outbound
This paper cites Large Language Models Are Reasoning Teachers.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Large Language Models Are Reasoning Teachers
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.771366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d6932b2-b9d0-4893-99f7-a7e4bdb9db6e · outbound
This paper cites Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.816606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91e700ef-664f-4383-aa57-4d9ea0133f06 · outbound
This paper cites Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.859496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 656c8341-79f5-4f27-abd5-3e11036033c5 · outbound
This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.
Learning to Reason via Mixture-of-Thought for Logical Reasoning V-STaR: Training Verifiers for Self-Taught Reasoners
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.894799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ede10142-2deb-481a-ae02-1cd82af73184 · outbound
This paper cites Self-taught optimizer (stop): Recursively self-improving code generation.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Self-taught optimizer (stop): Recursively self-improving code generation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.549873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f42bd0e0-562c-4f4d-b9c7-f08dab4cba0b · outbound
This paper cites Self-Taught Evaluators.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Self-Taught Evaluators
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.997675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8cc2a8-658c-44e8-bfe7-134b5cd994fb · outbound
This paper cites Lean-STaR: Learning to Interleave Thinking and Proving.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Lean-STaR: Learning to Interleave Thinking and Proving
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.069890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb95fb40-9f6a-403e-b43b-dbd2abb40acb · outbound
This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.079859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91683d93-14f8-4657-8324-17ee5705671a · outbound
This paper cites Certified deductive reasoning with language models.Transactions on Machine Learning Research, 2024.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Certified deductive reasoning with language models.Transactions on Machine Learning Research, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.537333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b1ccf3e-7388-41e7-bc96-c6e6f01be5f8 · outbound
This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.
Learning to Reason via Mixture-of-Thought for Logical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.134427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cddd3fcc-cb73-4082-8e41-7f20d34ecd80 · outbound
This paper cites START: Self-taught Reasoner with Tools.
Learning to Reason via Mixture-of-Thought for Logical Reasoning START: Self-taught Reasoner with Tools
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.139398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ca3d72-cd0d-4eea-b331-6c508dc735fc · outbound
This paper cites Regenesis: LLMs can grow into reasoning generalists via self-improvement.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Regenesis: LLMs can grow into reasoning generalists via self-improvement
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.521553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ffe13c54-1cd4-4b77-a991-54696527bae5 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Learning to Reason via Mixture-of-Thought for Logical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.148432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d081618-a6e4-42fb-9c5d-9feca81d96a1 · outbound
This paper cites Rush, and Thomas Wolf.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Rush, and Thomas Wolf
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.506064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d043562d-0d46-467d-8898-297c68c315ca · outbound
This paper cites Faithful Logical Reasoning via Symbolic Chain-of-Thought.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Faithful Logical Reasoning via Symbolic Chain-of-Thought
Reference 48
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T15:15:42.158555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48731527-4d7e-4842-abdc-b5296a17a573 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.485085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 58308492-5524-4a26-b203-ed18c0ce1ef8 · outbound
This paper cites Only TT correct.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Only TT correct
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.471282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f27bf5db-83e6-4764-a17d-8ecf8c036108 · outbound
This paper cites <end_of_answer> Examples of Truth Table-based Reasoning generated by our models.
Learning to Reason via Mixture-of-Thought for Logical Reasoning <end_of_answer> Examples of Truth Table-based Reasoning generated by our models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.456027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4de89110-8fd8-4dd1-b4b2-227fd68fed7f · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.436946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c2c5f76-b28e-43bb-ab48-f7f465bbf092 · outbound
This paper cites ∃x (W(x)∧F(x)) Conclusion to Evaluate: Some evergreens are not objects of worship.
Learning to Reason via Mixture-of-Thought for Logical Reasoning ∃x (W(x)∧F(x)) Conclusion to Evaluate: Some evergreens are not objects of worship
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.422914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 142616ff-a1cc-4cc5-9aae-fecfea4dcb6d · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.409273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ce9105c9-d15c-47b4-b2f8-f58f815858fe · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.390409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b5bc6c7d-a208-4888-9919-bcf11a8961f7 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.376433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fbc2a016-437d-41f8-912a-cfe4975507c1 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 57
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T15:15:43.362485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0bab992f-df0a-4197-ae53-9558ffa191d8 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.348834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 65e63cb9-b2c9-4602-a26f-60ca085e19b3 · outbound
This paper cites All employees who schedule a meeting with their customers will go to the company building today,\.
Learning to Reason via Mixture-of-Thought for Logical Reasoning All employees who schedule a meeting with their customers will go to the company building today,\
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.334164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d2e67450-7b63-4daa-b3f2-769a0b38bae6 · outbound
This paper cites (Not directly about Rock).
Learning to Reason via Mixture-of-Thought for Logical Reasoning (Not directly about Rock)
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.320645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b486c34e-7dd4-4ea8-85d9-21ccb7156a8e · outbound
This paper cites (Not directly about Rock) 35.
Learning to Reason via Mixture-of-Thought for Logical Reasoning (Not directly about Rock) 35
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.306308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0f8e66db-108c-4906-a386-b75cd6c0c214 · outbound
This paper cites (Not directly about Rock).
Learning to Reason via Mixture-of-Thought for Logical Reasoning (Not directly about Rock)
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:43.282551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 982701e6-7569-4e69-9a84-6609527873e0 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:43.186861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 65b21b51-a80e-421b-9e95-fb5a05651ea7 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:42.864114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3e605f23-3b19-45e4-893b-7389a8c06032 · outbound
This paper cites an unresolved cited work.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:15:42.799846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation da593db9-c8a5-43d0-b17b-22ec73790273 · outbound
This paper cites Rock" and pet.is_monkey is True: return.
Learning to Reason via Mixture-of-Thought for Logical Reasoning Rock" and pet.is_monkey is True: return
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:15:42.773257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
Observation cb2dd002-b98d-4d15-a457-1b9382094597 · inbound
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:37:24.974376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2128fd9f-9219-4868-92bb-21e14ce554b4 · inbound
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:28:52.055915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 832c0674-f33c-4253-8d81-84f819a15d64 · inbound
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models cites this paper.
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:53:02.808040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02dab944-003d-41d1-8cb4-4b1edec12468 · inbound
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? cites this paper.
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:35:36.378825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c1264204-3ff6-4a9c-badb-78df6db48104 · inbound
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? cites this paper.
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:14:48.997429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1756dd94-412c-4eb6-a0d9-dbacfea75e71 · inbound
VeriTrans: Fine-Tuned LLM-Assisted NL-to-PL Translation via a Deterministic Neuro-Symbolic Pipeline cites this paper.
VeriTrans: Fine-Tuned LLM-Assisted NL-to-PL Translation via a Deterministic Neuro-Symbolic Pipeline Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:31:01.321076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0485d328-d6f1-41f6-99ea-6222fc70d86b · inbound
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data cites this paper.
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:36:01.997503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 442f9b63-a889-4d2e-92d9-ab695555f6cd · inbound
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling cites this paper.
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Learning to Reason via Mixture-of-Thought for Logical Reasoning
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T02:56:30.045707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.