Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:46:58.003217Z
Paper Citation Record · LEDGER
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 10 inbound Pith citation observations for arXiv:2506.18880.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:11:50.688938Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved24
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 4c49ba96-fb44-4476-b86a-3ccd9dca7be0 · outbound
This paper cites Big-math: A large-scale, high-quality math dataset for reinforcement learning in language models, 2025.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Big-math: A large-scale, high-quality math dataset for reinforcement learning in language models, 2025
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.825201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 413c4957-2b95-4a80-936e-0c5632568c77 · outbound
This paper cites The mathematics of deepmind models.The Mathematics of DeepMind Models (November 01, 2024), 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization The mathematics of deepmind models.The Mathematics of DeepMind Models (November 01, 2024), 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.596042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b251ea2a-1ed4-4599-aa5b-15aa881e54f3 · outbound
This paper cites 2024 aime ii problems/problem 1, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization 2024 aime ii problems/problem 1, 2024
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.578352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 04bc275b-8698-489d-8c42-1bfc7c8d76a0 · outbound
This paper cites Creativity and artificial intelligence.Artificial intelligence, 103(1-2):347–356, 1998.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Creativity and artificial intelligence.Artificial intelligence, 103(1-2):347–356, 1998
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.566520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation af0a9c24-1f09-490d-8dd0-04f6a5b3b475 · outbound
This paper cites Compositionality and Generalization in Emergent Languages.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Compositionality and Generalization in Emergent Languages
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.842320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb8c3a10-d888-46e0-96a2-deacf7e66cf3 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Training Verifiers to Solve Math Word Problems
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.846603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39156a0e-efd7-4038-943a-f46fa4cc07d2 · outbound
This paper cites Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, and Yejin Choi
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.850744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c8ce179-d975-4c0b-a68a-51f3f6867c53 · outbound
This paper cites Metamathqa, 2023.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Metamathqa, 2023
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.547650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a6ec6f48-764b-4ec5-9780-ecf65165d822 · outbound
This paper cites Improving Text-to-SQL Evaluation Methodology.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Improving Text-to-SQL Evaluation Methodology
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.858624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bc87e77-95a3-48a1-831c-14d125ca03bc · outbound
This paper cites Deep learning with long short-term memory networks for financial market predictions.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Deep learning with long short-term memory networks for financial market predictions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.535725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d708f446-0c28-4d1a-8405-9eb09090be86 · outbound
This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.866666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c278d11-9ba9-4d26-84dc-0ff445939953 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.870835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8eebb7a-5381-4e4a-b163-18f14c06a519 · outbound
This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.874797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 287b1408-3754-45d5-9029-e360cf92e0ce · outbound
This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.878375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab8612df-863e-455f-80d5-90142378ea31 · outbound
This paper cites Compositionality decomposed: How do neural networks generalise?Journal of Artificial Intelligence Research, 67:757–795, 2020.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Compositionality decomposed: How do neural networks generalise?Journal of Artificial Intelligence Research, 67:757–795, 2020
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.515058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c8a0537-59f6-4073-b5ab-248a746aa363 · outbound
This paper cites Measuring Compositional Generalization: A Comprehensive Method on Realistic Data.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.886073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b1205a-f1e2-43e9-b5fe-f030ddfb6270 · outbound
This paper cites Measuring compositional generalization: A comprehensive method on realistic data, 2020.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Measuring compositional generalization: A comprehensive method on realistic data, 2020
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.502787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c01db1ad-85ae-4b29-bb97-f8cf6e5d835b · outbound
This paper cites Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.893487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6675cde1-1fe2-4ae1-8ae2-568ce4f706fc · outbound
This paper cites Solving quantitative reasoning problems with language models, 2022.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Solving quantitative reasoning problems with language models, 2022
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.897821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4be8921c-b3a4-4e82-bb62-34aad40b7ee1 · outbound
This paper cites Numinamath.
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.474997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7eb29bb5-7887-44c3-99d8-256f31919b46 · outbound
This paper cites Probing out-of-distribution generalization in machine learning for materials, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Probing out-of-distribution generalization in machine learning for materials, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.462392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0bd7f082-a1e4-450c-89fb-6ab849c9fd9a · outbound
This paper cites Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.448652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7fcdc50d-c832-496e-ba54-3ea34ce3aef7 · outbound
This paper cites Towards out-of-distribution generalization: A survey, 2023.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Towards out-of-distribution generalization: A survey, 2023
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.913037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb35d26b-a10e-49c6-a693-7e217cb88bdb · outbound
This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.916405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21a9a9b5-b234-4026-87ce-c265df39b69d · outbound
This paper cites Compositional generalization by learning analytical expressions.Advances in Neural Information Processing Systems, 33:11416–11427, 2020.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Compositional generalization by learning analytical expressions.Advances in Neural Information Processing Systems, 33:11416–11427, 2020
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.429281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 841e4e97-a348-48fe-aecb-6d8bea74d693 · outbound
This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.924842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72cb1a5c-fd3f-428f-9223-edf8b72ec7fc · outbound
This paper cites Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.929508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b06513b-cc66-4bb4-b67a-31241f400e33 · outbound
This paper cites Gsm8k, April 2022.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Gsm8k, April 2022
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.416982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dbafe4e1-dd2b-40f7-b86f-8ae33e5b2df9 · outbound
This paper cites Learning to reason with llms, September 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Learning to reason with llms, September 2024
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.937329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85be693b-36fb-4318-8dda-bf18b6ead1cd · outbound
This paper cites Math 500, November 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Math 500, November 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.398067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2d6a2901-5fb8-428e-8cc7-bad3e1d337dc · outbound
This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.946217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e2fc55c-16e6-4ef7-9a82-cb309150cae1 · outbound
This paper cites Climbing the ladder of reasoning: What llms can-and still can’t-solve after sft?arXiv preprint arXiv:2504.11741, 2025.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Climbing the ladder of reasoning: What llms can-and still can’t-solve after sft?arXiv preprint arXiv:2504.11741, 2025
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.950314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d3b542-5ad7-4c43-9036-ce8a3ed41083 · outbound
This paper cites Mathscale: Scaling instruction tuning for mathematical reasoning, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Mathscale: Scaling instruction tuning for mathematical reasoning, 2024
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.953862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4cb4824-27e4-44ad-8037-8f70e4f00768 · outbound
This paper cites The claude 3 model family: Opus, sonnet, haiku.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization The claude 3 model family: Opus, sonnet, haiku
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.375061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3657a068-ad2b-497b-8d6e-d34aa6463fc0 · outbound
This paper cites Openmathinstruct-1: A 1.8 million math instruction tuning dataset, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Openmathinstruct-1: A 1.8 million math instruction tuning dataset, 2024
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.361658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 632248f7-a2ae-41d6-90b4-cc393bba50f5 · outbound
This paper cites Grokked transformers are implicit reasoners: A mechanistic journey to the edge of generalization, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Grokked transformers are implicit reasoners: A mechanistic journey to the edge of generalization, 2024
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.964503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd17a92b-19b7-4ee2-98c0-eef0e8ffdb1a · outbound
This paper cites Towards a theoretical framework of out-of-distribution generalization, 2021.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Towards a theoretical framework of out-of-distribution generalization, 2021
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.343032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 147c34e6-d020-4e39-8219-ca0b8bd18de8 · outbound
This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.971551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 073e41ac-1ee1-4177-9364-f3e7c34b5d71 · outbound
This paper cites Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New Recipes.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New Recipes
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.975316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c44c3d13-2f48-4716-9def-b3198ef423e5 · outbound
This paper cites Evaluating the performance of large language models on gaokao benchmark, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Evaluating the performance of large language models on gaokao benchmark, 2024
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.330336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8b282595-51b0-4b30-a444-9e848b9a909a · outbound
This paper cites Can models learn skill composition from examples?Advances in Neural Information Processing Systems, 37:102393–102427, 2024.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Can models learn skill composition from examples?Advances in Neural Information Processing Systems, 37:102393–102427, 2024
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.314082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7527bc67-e77d-4288-a537-56d461fca4fd · outbound
This paper cites GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?.
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:46:57.986232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed18e313-d1ea-4dd5-86b5-a08ca1df6ff2 · outbound
This paper cites visualizing.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.299553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d56b2f23-c352-47a0-b072-177155a845eb · outbound
This paper cites conjecture.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.287433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3b4428ef-c97d-4243-947f-abcbfcf47d56 · outbound
This paper cites computation.
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.274551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fed93d16-0519-4544-8441-bb4121582713 · outbound
This paper cites computation.
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:46:58.262364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
Observation a4955607-c80d-4a2a-8e1d-ba00be34a93d · inbound
Rethinking the Illusion of Thinking cites this paper.
Rethinking the Illusion of Thinking OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:03:39.097178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32cb581c-3213-4fb9-b9df-af707d223f04 · inbound
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:20:16.918871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff53744e-1a34-46c0-a3cf-94671faf3c08 · inbound
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments cites this paper.
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:08:09.137256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1356ad6f-4a21-4a9c-bcc5-88494310d421 · inbound
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:56:11.366338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2c7fef75-70e6-49ce-a412-f59312a560a7 · inbound
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers cites this paper.
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:12:50.818472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4afce806-873a-4d04-be21-9a925ef2d5de · inbound
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 94
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:38:55.904520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3ab79f2f-46a2-43a7-aa3d-7b632af45827 · inbound
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity cites this paper.
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T21:00:08.449215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 52890016-2d81-4841-8b4c-b804953a11da · inbound
PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages cites this paper.
PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:15:30.210152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bb9418fb-fd26-484e-91b6-02a8fea9c261 · inbound
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping cites this paper.
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:24:54.759751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3115606-8d7d-4b7a-9c8c-e296f1eaddaa · inbound
Ask-E: An Environment for Calibrated Question Generation cites this paper.
Ask-E: An Environment for Calibrated Question Generation OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:11:50.688938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.