Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T01:36:23.845366Z
Paper Citation Record · LEDGER
From System 1 to System 2: A Survey of Reasoning Large Language Models
As of 7 August 2026, this Paper Citation Record lists 100 of 295 outbound references and 94 inbound Pith citation observations for arXiv:2502.17419.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:25.207507Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 295 outbound references displayed
- verified exact28
- verified fuzzy66
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
5
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 3ba18b39-f5ce-4566-a468-5864c84d04b4 · outbound
This paper cites System 1+ system 2= better world: Neural-symbolic chain of logic reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models System 1+ system 2= better world: Neural-symbolic chain of logic reasoning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.710139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d024b858-93c2-4c53-b70a-6b86e4c07120 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Chain-of-thought prompting elicits reasoning in large language models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.639668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8142e4f-893b-40d0-92dc-55dae3466db1 · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.642258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03ebc2ef-5234-4b51-b0d8-4d111b244a63 · outbound
This paper cites Least-to-Most Prompt- ing Enables Complex Reasoning in Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Least-to-Most Prompt- ing Enables Complex Reasoning in Large Language Models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.645479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 833e1235-74b7-4d03-9e47-8292c529139d · outbound
This paper cites STaR: Self- taught reasoner bootstrapping reasoning with reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models STaR: Self- taught reasoner bootstrapping reasoning with reasoning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.647908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e7e07ba-6827-46a0-a37a-fe515eca7124 · outbound
This paper cites Heuristic and analytic processes in reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Heuristic and analytic processes in reasoning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.650142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e4c7032-2e2e-4df9-a6a9-3fb33bca25b1 · outbound
This paper cites Maps of bounded rationality: Psychology for behavioral economics.
From System 1 to System 2: A Survey of Reasoning Large Language Models Maps of bounded rationality: Psychology for behavioral economics
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.652501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c0429f19-51db-4ac5-a7b7-4f54749c81f5 · outbound
This paper cites Towards Reasoning in Large Language Models: A Survey.
From System 1 to System 2: A Survey of Reasoning Large Language Models Towards Reasoning in Large Language Models: A Survey
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.654633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34b6f982-e923-427b-9c1b-fc9ed04f1172 · outbound
This paper cites Reasoning with Language Model Prompting: A Survey.
From System 1 to System 2: A Survey of Reasoning Large Language Models Reasoning with Language Model Prompting: A Survey
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.657049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a8a1a637-2014-46b4-90d5-7a7e3f2a9556 · outbound
This paper cites Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.
From System 1 to System 2: A Survey of Reasoning Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.659866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ac618e4-99b6-4548-8c4f-008d0d38ed7c · outbound
This paper cites On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.662474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 41e98e35-1365-4516-bbf3-15f530f312ed · outbound
This paper cites Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.665178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 884c67e6-3dc2-4b84-a147-c52b286e6db6 · outbound
This paper cites Automatic Chain of Thought Prompting in Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Automatic Chain of Thought Prompting in Large Language Models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.667885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 60932f4d-a2df-4271-8da6-23c737c7ee28 · outbound
This paper cites Reasoning with Language Model is Planning with World Model.
From System 1 to System 2: A Survey of Reasoning Large Language Models Reasoning with Language Model is Planning with World Model
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.670269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 15f05959-4f7b-413e-983e-5bf038ca28d5 · outbound
This paper cites Meta Prompting for AI Systems.
From System 1 to System 2: A Survey of Reasoning Large Language Models Meta Prompting for AI Systems
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c7f18bc0-2e03-48bb-8607-54e478bf5e7c · outbound
This paper cites Hello GPT-4o.
From System 1 to System 2: A Survey of Reasoning Large Language Models Hello GPT-4o
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.675120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ed17b85-1519-40a5-ba72-b1624f3d269d · outbound
This paper cites DeepSeek-V3 Technical Report.
From System 1 to System 2: A Survey of Reasoning Large Language Models DeepSeek-V3 Technical Report
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.557654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 57c9b804-3db9-48cf-b784-8fe253c42bc2 · outbound
This paper cites Attention is all you need.
From System 1 to System 2: A Survey of Reasoning Large Language Models Attention is all you need
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.679276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e5159073-d71f-4cdb-9d51-a94b8a35d560 · outbound
This paper cites BERT: Pre- training of Deep Bidirectional Transformers for Language Under- standing.
From System 1 to System 2: A Survey of Reasoning Large Language Models BERT: Pre- training of Deep Bidirectional Transformers for Language Under- standing
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.681643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c7f39c57-6f68-4cd0-aa41-bf78eaa672c0 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
From System 1 to System 2: A Survey of Reasoning Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.560888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 588dcab3-7225-4d74-90c5-a691240a2f39 · outbound
This paper cites Improving language understanding by generative pre-training.
From System 1 to System 2: A Survey of Reasoning Large Language Models Improving language understanding by generative pre-training
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.686519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 47551086-95a0-4797-8a38-34de9c982591 · outbound
This paper cites Language models are unsupervised multitask learners.
From System 1 to System 2: A Survey of Reasoning Large Language Models Language models are unsupervised multitask learners
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.688891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4b685799-24d1-4b14-9d13-da05e30f1799 · outbound
This paper cites Language models are few-shot learners.
From System 1 to System 2: A Survey of Reasoning Large Language Models Language models are few-shot learners
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.691324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9d411d72-be54-42ac-a6a8-edf4faf7f6dd · outbound
This paper cites Train- ing language models to follow instructions with human feed- back.
From System 1 to System 2: A Survey of Reasoning Large Language Models Train- ing language models to follow instructions with human feed- back
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.693781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5bc1b72e-929c-4b4c-8e4f-9e88ceb7e1a6 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.564028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 526cddfa-d386-4980-ba0f-e693b35a9755 · outbound
This paper cites A Survey of Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models A Survey of Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.567407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f7f5f82c-b250-43a0-92e3-8ef5b2897f99 · outbound
This paper cites Visual Instruction Tuning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Visual Instruction Tuning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.700782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f6ee253e-582e-4871-b78d-da512beea572 · outbound
This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models MM-LLMs: Recent Advances in MultiModal Large Language Models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.703100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8a055bcb-18a0-4b6b-ab28-28dc91564c2d · outbound
This paper cites Learning to reason with LLMs.
From System 1 to System 2: A Survey of Reasoning Large Language Models Learning to reason with LLMs
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.705178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d0de62bb-2d30-42c5-9e49-d7a3f5f77528 · outbound
This paper cites OpenAI o3-mini.
From System 1 to System 2: A Survey of Reasoning Large Language Models OpenAI o3-mini
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.707660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8555a31e-9eef-4501-81e5-0bff8f3eb4fe · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
From System 1 to System 2: A Survey of Reasoning Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.570662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a82aba21-e4a1-447f-809b-82718d900636 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
From System 1 to System 2: A Survey of Reasoning Large Language Models Training Verifiers to Solve Math Word Problems
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:24.573912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d7239f70-56eb-4228-934d-ddf0ef4abb52 · outbound
This paper cites Large language models are zero-shot reasoners.
From System 1 to System 2: A Survey of Reasoning Large Language Models Large language models are zero-shot reasoners
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.715538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b0ffc4af-b767-499b-b3e9-5083f300dd8c · outbound
This paper cites Improving Large Language Model Fine-tuning for Solving Math Problems.
From System 1 to System 2: A Survey of Reasoning Large Language Models Improving Large Language Model Fine-tuning for Solving Math Problems
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.577404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b45c2c13-f25d-4261-a09c-a0c46f14fe66 · outbound
This paper cites Solving Math Word Problems via Cooperative Reasoning induced Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Solving Math Word Problems via Cooperative Reasoning induced Language Models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.721459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed04f0c3-c72a-476f-bff5-2d172d496b34 · outbound
This paper cites Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.724381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34995a8f-e0e7-40d6-ac3d-225215185762 · outbound
This paper cites Let’s Verify Step by Step.
From System 1 to System 2: A Survey of Reasoning Large Language Models Let’s Verify Step by Step
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T01:36:24.726596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bf412bf2-2123-4068-a427-89812a35f2d8 · outbound
This paper cites Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals.
From System 1 to System 2: A Survey of Reasoning Large Language Models Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.580682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 082f1677-8b87-4729-a5ca-29c6fc9a38e8 · outbound
This paper cites Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.583685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e282eafc-9bb0-4ccc-ab7e-f299d20daba0 · outbound
This paper cites MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.586800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d84b9b85-b7a4-4955-8828-e08c8f9314e1 · outbound
This paper cites Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought.
From System 1 to System 2: A Survey of Reasoning Large Language Models Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.589670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f39bf3b6-f4ac-47a1-9951-e34d974c74af · outbound
This paper cites The Impact of Reasoning Step Length on Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models The Impact of Reasoning Step Length on Large Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.593530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9ac69ae3-e271-494c-9f38-718ff6d0837d · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Graph of thoughts: Solving elaborate problems with large language models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.351566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5b49253a-f02d-4a51-b260-2dfddda5a6a2 · outbound
This paper cites Self-playing Adversarial Language Game Enhances LLM Reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Self-playing Adversarial Language Game Enhances LLM Reasoning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.596979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79ea5cfd-4db9-46a9-a01e-57e577ae6df4 · outbound
This paper cites IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.385741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba0818fe-f628-4c94-b91c-67f770f0759d · outbound
This paper cites V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs.
From System 1 to System 2: A Survey of Reasoning Large Language Models V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.389323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7a0908c-e787-4188-a679-d21aa8009114 · outbound
This paper cites GENOME: Gener- ative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules.
From System 1 to System 2: A Survey of Reasoning Large Language Models GENOME: Gener- ative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.296734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d256ed63-5894-4532-bf85-5e5a71f9a0e8 · outbound
This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.
From System 1 to System 2: A Survey of Reasoning Large Language Models A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.600465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 256165f8-9fdd-418e-bf86-fc992171ebd7 · outbound
This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.
From System 1 to System 2: A Survey of Reasoning Large Language Models Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.604401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22993868-7e67-49e7-9c5a-5a96bba0053c · outbound
This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.
From System 1 to System 2: A Survey of Reasoning Large Language Models O1 Replication Journey: A Strategic Progress Report -- Part 1
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.608929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7a32e34-f39e-419b-ac8f-77a746c94ba2 · outbound
This paper cites O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?.
From System 1 to System 2: A Survey of Reasoning Large Language Models O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.613149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e06f004c-d231-455e-b966-aff1b356833c · outbound
This paper cites O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.617283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c5299771-bc68-4aec-893e-17f0553d7042 · outbound
This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.
From System 1 to System 2: A Survey of Reasoning Large Language Models Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:35:31.553327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0f497445-4ce9-4e84-b302-6c64f19604a5 · outbound
This paper cites RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?.
From System 1 to System 2: A Survey of Reasoning Large Language Models RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.624208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 454dedb2-e3f9-4e64-9a26-2b809b0efec5 · outbound
This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.
From System 1 to System 2: A Survey of Reasoning Large Language Models Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.628273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 453cb07e-754e-4592-801c-46c6351cd221 · outbound
This paper cites A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning.
From System 1 to System 2: A Survey of Reasoning Large Language Models A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.632615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aa897181-9da8-4587-9ced-6f113c3be5db · outbound
This paper cites Reasoning Language Models: A Blueprint.
From System 1 to System 2: A Survey of Reasoning Large Language Models Reasoning Language Models: A Blueprint
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.636694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78da3f49-8d4d-42ec-8346-b3a837241b95 · outbound
This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:23.944408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d4350ebe-a038-42dd-8ba2-2eb2b93eb3a5 · outbound
This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.729674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b2c5b3b-53ea-4d42-9292-089b62048b6b · outbound
This paper cites Learning transferable visual models from natural language supervision.
From System 1 to System 2: A Survey of Reasoning Large Language Models Learning transferable visual models from natural language supervision
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.407188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2d68c2ec-d3a4-4105-a883-618c3a1e63c5 · outbound
This paper cites Zero-shot text-to-image generation.
From System 1 to System 2: A Survey of Reasoning Large Language Models Zero-shot text-to-image generation
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.424725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8e5fc96e-7512-46cc-8e62-10b101377dc1 · outbound
This paper cites GPT-4 Technical Report.
From System 1 to System 2: A Survey of Reasoning Large Language Models GPT-4 Technical Report
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.286884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 92bdc9ff-2c6a-4383-a373-91ffe7152aa1 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Flamingo: a visual language model for few-shot learning
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.262627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ee7ba1c-a36a-4459-9c1f-d829da135e78 · outbound
This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.270667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 166b3d59-8517-427f-bbcb-ff8c640ac8ec · outbound
This paper cites InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning.
From System 1 to System 2: A Survey of Reasoning Large Language Models InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.279616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation caec5c3e-4025-450a-a09e-6bd5c6ccc09e · outbound
This paper cites FastMoE: A Fast Mixture-of-Expert Training System.
From System 1 to System 2: A Survey of Reasoning Large Language Models FastMoE: A Fast Mixture-of-Expert Training System
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:23.955606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 586f463f-25d0-4143-8172-2c42fe68994c · outbound
This paper cites Glam: Efficient scaling of language models with mixture-of-experts.
From System 1 to System 2: A Survey of Reasoning Large Language Models Glam: Efficient scaling of language models with mixture-of-experts
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.258753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ad002c31-efc5-4726-8bac-5c88ad46749f · outbound
This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
From System 1 to System 2: A Survey of Reasoning Large Language Models DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.272402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9646a95-46f2-42e1-9c6b-0cb227d47e79 · outbound
This paper cites Learning representations by back-propagating errors.
From System 1 to System 2: A Survey of Reasoning Large Language Models Learning representations by back-propagating errors
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.359193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cedcf098-013b-4a37-96ea-637b7cf24c8e · outbound
This paper cites Convolutional networks for images, speech, and time series.
From System 1 to System 2: A Survey of Reasoning Large Language Models Convolutional networks for images, speech, and time series
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.431815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 78adddf9-bf5a-4ac4-b820-4d871c15bd67 · outbound
This paper cites Long Short-term Memory.
From System 1 to System 2: A Survey of Reasoning Large Language Models Long Short-term Memory
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.362540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6f3022d6-38b4-40cb-bfa1-b6ae75c9f0db · outbound
This paper cites A fast learning algorithm for deep belief nets.
From System 1 to System 2: A Survey of Reasoning Large Language Models A fast learning algorithm for deep belief nets
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.283361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c356ec93-baf7-4473-b3af-dcf0fc1dc337 · outbound
This paper cites Reducing the dimension- ality of data with neural networks.
From System 1 to System 2: A Survey of Reasoning Large Language Models Reducing the dimension- ality of data with neural networks
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.281374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0df65231-22e4-4b25-a998-aa9057e0a3df · outbound
This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups.
From System 1 to System 2: A Survey of Reasoning Large Language Models Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.336261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 06bc370b-3e8f-413e-a1e7-b9a19ce6962a · outbound
This paper cites Imagenet classi- fication with deep convolutional neural networks.
From System 1 to System 2: A Survey of Reasoning Large Language Models Imagenet classi- fication with deep convolutional neural networks
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.343623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2dc9cad5-46bf-4242-bfd4-bfb0a9470ded · outbound
This paper cites Learning Phrase Rep- resentations using RNN Encoder-Decoder for Statistical Machine Translation.
From System 1 to System 2: A Survey of Reasoning Large Language Models Learning Phrase Rep- resentations using RNN Encoder-Decoder for Statistical Machine Translation
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.430036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 720817a3-5404-4b2d-9865-c6e63e9ba680 · outbound
This paper cites Sequence to Sequence Learning with Neural Networks.
From System 1 to System 2: A Survey of Reasoning Large Language Models Sequence to Sequence Learning with Neural Networks
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:23.960034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 15341880-1a03-4363-851e-65e66f6eb6d1 · outbound
This paper cites Dropout: a simple way to prevent neural net- works from overfitting.
From System 1 to System 2: A Survey of Reasoning Large Language Models Dropout: a simple way to prevent neural net- works from overfitting
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.313421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 73a5ff5e-fe8e-4aa3-a314-06d81aa4ba43 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
From System 1 to System 2: A Survey of Reasoning Large Language Models Adam: A Method for Stochastic Optimization
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:36:23.964874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9474e70e-b878-4efa-a944-17eb00d828e7 · outbound
This paper cites Deep learning.
From System 1 to System 2: A Survey of Reasoning Large Language Models Deep learning
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.440956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7c87a009-24f2-4f29-8e1f-b174603babd0 · outbound
This paper cites Deep residual learning for image recognition.
From System 1 to System 2: A Survey of Reasoning Large Language Models Deep residual learning for image recognition
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.341891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2e80ec5c-2264-4409-b997-fb04f37aebf3 · outbound
This paper cites Densely connected convolutional networks.
From System 1 to System 2: A Survey of Reasoning Large Language Models Densely connected convolutional networks
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.268613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fc7d4bdf-ddc3-41d5-829c-1faa15162758 · outbound
This paper cites Generative adver- sarial networks.
From System 1 to System 2: A Survey of Reasoning Large Language Models Generative adver- sarial networks
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.421459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4924515c-64df-4bb5-8524-86310c16ae4d · outbound
This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.
From System 1 to System 2: A Survey of Reasoning Large Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.347746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a21dc011-1d0d-440c-a6ae-e1f3fac05f6e · outbound
This paper cites A survey on in-context learning.
From System 1 to System 2: A Survey of Reasoning Large Language Models A survey on in-context learning
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.329175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ee6fdbb8-c41b-4862-b380-f69326dd837d · outbound
This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.
From System 1 to System 2: A Survey of Reasoning Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:09:17.033947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f318fe52-b838-4e0f-964f-c4bfe3271ad1 · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
From System 1 to System 2: A Survey of Reasoning Large Language Models The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.260903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 01791ed3-679d-4431-834d-2aa0497835f5 · outbound
This paper cites an unresolved cited work.
From System 1 to System 2: A Survey of Reasoning Large Language Models Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T14:47:53.381237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b1b521ad-3345-4104-9079-ef421d5216b2 · outbound
This paper cites Carnap, Introduction to symbolic logic and its applications.
From System 1 to System 2: A Survey of Reasoning Large Language Models Carnap, Introduction to symbolic logic and its applications
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.311602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9e87df85-0d1a-4f50-be90-3d5c6849da16 · outbound
This paper cites An introduction to Prolog III.
From System 1 to System 2: A Survey of Reasoning Large Language Models An introduction to Prolog III
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.426343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b7c6f143-eb00-44c5-855b-6a675cd6784b · outbound
This paper cites an unresolved cited work.
From System 1 to System 2: A Survey of Reasoning Large Language Models Unresolved cited work
Reference 91
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T14:47:53.256971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 59e44ebe-23d6-46f9-ac10-250a94c641da · outbound
This paper cites an unresolved cited work.
From System 1 to System 2: A Survey of Reasoning Large Language Models Unresolved cited work
Reference 92
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T14:47:53.419722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb87c92e-a325-42f8-96af-5849f622226d · outbound
This paper cites an unresolved cited work.
From System 1 to System 2: A Survey of Reasoning Large Language Models Unresolved cited work
Reference 93
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T14:47:53.298340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0d0c82cd-b3ea-460d-940b-bfec4f17fb4a · outbound
This paper cites Computation-oriented reductions of predicate to propositional logic.
From System 1 to System 2: A Survey of Reasoning Large Language Models Computation-oriented reductions of predicate to propositional logic
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.433501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cbfa0dfd-c7be-423f-bc74-de1f5cef7ac7 · outbound
This paper cites History of LISP.
From System 1 to System 2: A Survey of Reasoning Large Language Models History of LISP
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.427925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fdc6b208-ba1c-461a-a401-5871b0de208d · outbound
This paper cites Resolution Theorem Proving.
From System 1 to System 2: A Survey of Reasoning Large Language Models Resolution Theorem Proving
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.288654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5330ad82-cb88-4a2c-ac60-aa87c4d62d01 · outbound
This paper cites A framework for representing knowledge.
From System 1 to System 2: A Survey of Reasoning Large Language Models A framework for representing knowledge
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.295056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8885117c-a3b5-4c51-9d46-ad46a0e69f28 · outbound
This paper cites A survey of monte carlo tree search methods.
From System 1 to System 2: A Survey of Reasoning Large Language Models A survey of monte carlo tree search methods
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.264678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7451c59-5c5b-45cb-be0f-8675b0a282c3 · outbound
This paper cites Monte-Carlo tree search and rapid action value estimation in computer Go.
From System 1 to System 2: A Survey of Reasoning Large Language Models Monte-Carlo tree search and rapid action value estimation in computer Go
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.442569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 13f88211-67ca-497d-a4ab-646d71259abd · outbound
This paper cites Monte Carlo tree search: A review of recent modifications and applications.
From System 1 to System 2: A Survey of Reasoning Large Language Models Monte Carlo tree search: A review of recent modifications and applications
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T14:47:53.320763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 4e96e0b5-a72f-4e97-9ee7-02813943862c · inbound
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 227
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:18:53.523679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 539d97b2-e36f-44fa-89d5-10a7cdbdfe3e · inbound
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 97
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T01:29:57.216001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea507ef7-cb23-486b-bb06-3c63ea3eb017 · inbound
Video-R1: Reinforcing Video Reasoning in MLLMs cites this paper.
Video-R1: Reinforcing Video Reasoning in MLLMs From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1efcadbe-867d-444f-8905-909cfbee91a1 · inbound
WebThinker: Empowering Large Reasoning Models with Deep Research Capability cites this paper.
WebThinker: Empowering Large Reasoning Models with Deep Research Capability From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T19:14:25.340015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b204448-4016-4483-ad6c-a65d9a7013a4 · inbound
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage cites this paper.
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T14:17:23.992038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 21e6c1a5-2dcd-46d8-a38a-a65afc110bd4 · inbound
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.
Continual Learning for Generative AI: From LLMs to MLLMs and Beyond From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 121
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:25.207507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e90f3af-d9cf-4891-82ab-e32038325b4b · inbound
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning cites this paper.
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:35.115254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cebba81e-61c3-42fd-a33d-665141521f6d · inbound
Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement cites this paper.
Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:48.801465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18e460b7-36cd-41a8-9b2d-765927d27ab7 · inbound
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:04.775152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f53b722-1eae-4f6b-a001-79151293c5cb · inbound
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:55:01.191538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29fc1abd-5a76-480e-a5ca-aa060e71d691 · inbound
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI cites this paper.
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:41:38.323087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05834008-db06-413a-b1a6-563d060e2195 · inbound
Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.
Energy-Based Transformers are Scalable Learners and Thinkers From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:42:27.410182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a56d682-ab05-4f3e-884a-5c185937ea75 · inbound
Uncertainty-aware Reward Design Process cites this paper.
Uncertainty-aware Reward Design Process From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:39:13.937399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ef5b0fc-e36b-4d2a-89a9-c32b6b72ce9c · inbound
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model cites this paper.
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:57:38.654774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20bcc873-d84a-4127-b78f-9aa34fbf57eb · inbound
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:11:17.857952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9639980-ee97-4534-80dd-66f9c10cafda · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:54:17.180805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25fa7974-b8ca-4780-b4e5-9fc7d7d2fc39 · 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 From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:37:24.897708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8496057-405a-400c-b566-dc5deab73992 · inbound
Libra: Large Chinese-based Safeguard for AI Content cites this paper.
Libra: Large Chinese-based Safeguard for AI Content From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:38.683475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e7e6434-b61d-4182-b307-d66b066735de · inbound
Multimodal Video Emotion Recognition with Reliable Reasoning Priors cites this paper.
Multimodal Video Emotion Recognition with Reliable Reasoning Priors From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:18:30.733821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73447e4a-3176-43a0-9410-e56c31c2d714 · inbound
ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.
ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T01:02:54.816247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation de3005d2-e2a5-461e-abd9-dcafd1c61b64 · inbound
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph cites this paper.
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:32:57.033449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abf092bb-2ae9-4b31-bfe1-e000370b6cac · inbound
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration cites this paper.
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T22:36:53.676338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cad72868-68c7-4968-95a1-99898c3f4d06 · inbound
STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning cites this paper.
STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:15:27.436546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be03dfa9-3240-45d1-952c-b28b3cf9a009 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T19:21:48.426898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 30cd1eb2-644f-4d43-8929-61632b3d6da0 · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 296
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:02:24.807506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 14f6a7ab-6da5-4773-8fe5-bc9595a6786c · inbound
Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective cites this paper.
Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:39:09.103481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0952fa6-9812-454e-a1b3-4b6eb003721c · inbound
Early Stopping Chain-of-thoughts in Large Language Models cites this paper.
Early Stopping Chain-of-thoughts in Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T22:34:24.054540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e09290a-1dae-4baa-9c1a-921416035dec · inbound
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:01:14.032479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0e503a9c-c468-439e-b9aa-28f8f856e156 · inbound
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models cites this paper.
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:20:58.219881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 75c322b8-773f-4930-9a14-743c95bbff95 · inbound
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation cites this paper.
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T07:01:01.689007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7ba3f85c-a44b-4822-9052-dae5a816abde · inbound
AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models cites this paper.
AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T21:30:18.171081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 66563dd6-dc35-425a-b0ab-adabcf851ee0 · inbound
Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python cites this paper.
Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:51:07.273778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 155c5947-24a2-42f1-9414-56c098532a64 · inbound
Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers cites this paper.
Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:16:00.387293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65bcd4ef-15fe-4a1f-85a3-626089366c23 · inbound
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 179
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T12:40:54.679037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1433b8d9-02b1-41e6-b1de-b3e4e5bccc9c · inbound
UCPO: Uncertainty-Aware Policy Optimization cites this paper.
UCPO: Uncertainty-Aware Policy Optimization From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:34:29.146626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6dfdca8-042e-4cc2-a977-8e8dc010591b · inbound
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning cites this paper.
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:25:55.464270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a145fac3-f7a5-4876-a09c-a5c4dba1bc6b · inbound
KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning cites this paper.
KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T06:25:07.532610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 04751b48-fdaf-4f70-b311-1098a54236c0 · inbound
Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping cites this paper.
Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f566d038-6bc9-4152-b9b8-f49ec0382f8d · inbound
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae8d8f82-da06-4d18-8a5e-3d013eb8e54d · inbound
KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning cites this paper.
KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dd7e87d7-36a0-4da9-9f23-7619f4efc4e9 · inbound
The role of System 1 and System 2 semantic memory structure in human and LLM biases cites this paper.
The role of System 1 and System 2 semantic memory structure in human and LLM biases From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 568c3e7b-6155-4897-a4e1-4e0f2b288314 · inbound
LACE: Lattice Attention for Cross-thread Exploration cites this paper.
LACE: Lattice Attention for Cross-thread Exploration From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ffc458ea-13e9-45e0-b342-fa941bd369e2 · inbound
LACE: Lattice Attention for Cross-thread Exploration cites this paper.
LACE: Lattice Attention for Cross-thread Exploration From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e08835da-f84f-48fe-9a09-e50868a9a3fb · inbound
LACE: Lattice Attention for Cross-thread Exploration cites this paper.
LACE: Lattice Attention for Cross-thread Exploration From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 12c611bd-ec51-4fba-9486-40f744c97512 · inbound
Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information cites this paper.
Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cdfabc07-adc9-44f3-a2c6-20a5e06c3feb · inbound
Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning cites this paper.
Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f3e47256-fb52-4695-a078-7569b360fdfe · inbound
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus cites this paper.
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9fc4bb7-864b-4af2-be01-7d7949939198 · inbound
Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks cites this paper.
Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4b980706-7087-4d5c-b45f-fc3619f482fd · inbound
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4eb8c9cb-18e2-400b-8fad-3c9683fd8499 · inbound
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model cites this paper.
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ec383a13-930b-4512-941a-76c26ac81f7b · inbound
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 528ce95b-d5de-4606-83da-f9ac1ffc456a · inbound
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks cites this paper.
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e62f9fb6-0d52-4f98-8f02-eac8f333415d · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 95f439ba-1869-44a9-826a-32dd37330207 · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 494cfca3-7526-4e68-b919-f6264c7b5352 · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T17:02:40.746144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 53f066c0-e882-4ec5-a88b-bb0437ed31f7 · inbound
H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models cites this paper.
H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 38568a2e-e7d7-4f46-9e86-3449f2fcfaca · inbound
Do LLMs have core beliefs? cites this paper.
Do LLMs have core beliefs? From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8832e0a2-156f-4330-9716-4562433c930f · inbound
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.
Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 122
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9da7f752-e7e1-4fe5-9a6e-6887fd28ac01 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fdf97db8-ed7e-4184-b8c1-513d2530f2c2 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dc06da51-9185-464c-9205-24c8366b3fd9 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:22:23.224971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e0d3a65-17ff-49e5-8646-5a207377314e · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T20:59:27.819710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b5d75125-3e57-4185-8d8a-001a33fb8bb6 · inbound
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning cites this paper.
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:00:23.431048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d557b539-1d4b-4438-b286-f0aa40d31492 · inbound
Confidence-Aware Alignment Makes Reasoning LLMs More Reliable cites this paper.
Confidence-Aware Alignment Makes Reasoning LLMs More Reliable From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e69b2eb2-7197-4294-82b7-cef69ce2a9e7 · inbound
CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.
CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 109
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dd92de89-d94c-4a63-8d95-3fdc242d0ceb · inbound
Unsupervised Process Reward Models cites this paper.
Unsupervised Process Reward Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6acdce84-eb79-45d2-9551-2b30117b23fd · inbound
Seir\^enes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning cites this paper.
Seir\^enes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.737756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 69b40ae6-f2c5-4755-967e-569ee683a61d · inbound
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T01:57:06.481626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba782a9b-d098-4cf6-acb1-db49f8b17103 · inbound
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:12:58.973708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4ef4403a-02b4-4b9f-aeb2-892fe84f6a26 · inbound
TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models cites this paper.
TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:37:59.603504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a17e3597-f70c-4452-a4c3-c7182df48269 · inbound
Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.
Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:35:04.385747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f8549cb-c84b-41e0-9f70-856d55e7fa9c · inbound
Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.
Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:53:43.566556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 704e38df-4123-4f70-bb72-2fab39bf7e76 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T03:08:58.121871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 91c2f5d0-3f30-4d00-9b70-d8f35c0326e9 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T16:52:39.922293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7177b5ba-e73c-4812-ac8d-1aec593262d0 · inbound
Video Models Can Reason with Verifiable Rewards cites this paper.
Video Models Can Reason with Verifiable Rewards From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T15:07:37.204637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a289a81b-4c97-4c5d-a38a-fdc5d1787f9b · inbound
Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models cites this paper.
Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T06:38:05.870815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 67a918b0-f9e9-4623-85c7-8dc2e0826958 · inbound
A Survey of Audio Reasoning in Multimodal Foundation Models cites this paper.
A Survey of Audio Reasoning in Multimodal Foundation Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T02:09:24.054868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 37587bee-c2dc-4576-91ac-2868d7e2b519 · inbound
ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks cites this paper.
ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T18:02:27.314743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b3943f84-51b4-4e36-b078-812ea9ff367e · inbound
Trust Region On-Policy Distillation cites this paper.
Trust Region On-Policy Distillation From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T20:56:13.537343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8c9a6b09-6676-44f3-9c3b-36de6d18c6cd · inbound
Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation cites this paper.
Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T07:46:46.321503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4cdeb28c-65f8-4af1-a2bd-ab8b2899f61e · inbound
DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving cites this paper.
DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T08:26:48.181485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 57345775-a1d0-4a05-a07f-5d63ecdb153d · inbound
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 134
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T22:31:21.611288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 938c2a99-b0c1-46b3-becf-f63979770553 · inbound
The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning cites this paper.
The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T00:37:30.075788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 84dc1d62-ee12-427a-a3da-6415615ffdf3 · inbound
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks cites this paper.
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T01:27:30.592032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d272826a-7c72-4e55-9ce2-1025a9b11f5a · inbound
Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMs cites this paper.
Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMs From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T05:47:41.176585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e03f8ddf-c7c7-4853-b6e1-bc4846255eaa · inbound
APPO: Agentic Procedural Policy Optimization cites this paper.
APPO: Agentic Procedural Policy Optimization From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T09:37:49.375690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d9af756e-a5af-4689-87ec-a0a09c6dc803 · inbound
APPO: Agentic Procedural Policy Optimization cites this paper.
APPO: Agentic Procedural Policy Optimization From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:12:28.682604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 248d0627-7e0c-4d80-b955-c3bf0c782a2b · inbound
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:29:33.948602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cde0d36-7585-4f9a-a4ab-d2b522e4f35a · inbound
Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models cites this paper.
Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T01:20:20.479970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46d351fc-1b8a-48be-82a9-f47aaffce8e7 · inbound
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 283
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T09:59:44.812170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f7550fc-54a3-40f8-8d7a-7aaa3e8b4fe9 · inbound
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 282
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T18:55:59.454503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8cfdee05-0184-4976-bf8a-292f2b805184 · inbound
H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation cites this paper.
H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T09:29:14.105502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a715808e-50e0-4092-a34e-e49a44fb3fa9 · inbound
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning cites this paper.
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:04:06.957259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a363e0cb-91f6-49f6-9652-81a8e994d22e · inbound
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges From System 1 to System 2: A Survey of Reasoning Large Language Models
Reference 207
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:55:33.307197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.