Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:32:39.075363Z
Paper Citation Record · LEDGER
Diving into Self-Evolving Training for Multimodal Reasoning
As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 10 inbound Pith citation observations for arXiv:2412.17451.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T10:58:29.367654Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved47
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation f711b940-b588-4b8e-a534-e579099ee3d2 · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
Diving into Self-Evolving Training for Multimodal Reasoning Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.774438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34c0833f-b3d2-4e6c-940d-429b87bd4460 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
Diving into Self-Evolving Training for Multimodal Reasoning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.780886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d00c2a2-1d33-446d-b02a-02850e139d04 · outbound
This paper cites InternLM2 Technical Report.
Diving into Self-Evolving Training for Multimodal Reasoning InternLM2 Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.788722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48607c01-32b4-403b-8dfd-6591e1ada89f · outbound
This paper cites H., Kwon, T., Kim, M., woo Kwak, B., Kang, D., and Yeo, J.
Diving into Self-Evolving Training for Multimodal Reasoning H., Kwon, T., Kim, M., woo Kwak, B., Kang, D., and Yeo, J
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.795835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 811197b6-32ab-4737-97df-ad071e627c3c · outbound
This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.
Diving into Self-Evolving Training for Multimodal Reasoning Are We on the Right Way for Evaluating Large Vision-Language Models?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.802488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2973cdf-adc0-4b74-bc35-b417c65ed775 · outbound
This paper cites M ^3 C o T : A novel benchmark for multi-domain multi-step multi-modal chain-of-thought.
Diving into Self-Evolving Training for Multimodal Reasoning M ^3 C o T : A novel benchmark for multi-domain multi-step multi-modal chain-of-thought
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.808839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77a42cc4-b89a-4c6d-aae1-52cb8455ced7 · outbound
This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.
Diving into Self-Evolving Training for Multimodal Reasoning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.821457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b800a505-5f2a-4f43-8fda-25933e118368 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Diving into Self-Evolving Training for Multimodal Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.827443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a5ffa05-c1b0-4db3-91fe-d36ed9ce6e90 · outbound
This paper cites Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
Diving into Self-Evolving Training for Multimodal Reasoning Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.834249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2587cb1e-cb40-49d6-ac8a-b0ebdf8b05c9 · outbound
This paper cites RAFT : Reward ranked finetuning for generative foundation model alignment.
Diving into Self-Evolving Training for Multimodal Reasoning RAFT : Reward ranked finetuning for generative foundation model alignment
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.840905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d989aa54-570b-4353-a095-ae05d791c607 · outbound
This paper cites The Llama 3 Herd of Models.
Diving into Self-Evolving Training for Multimodal Reasoning The Llama 3 Herd of Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.846788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffbc9fa3-e027-46dd-ba36-5934b04eadc8 · outbound
This paper cites VILA$^2$: VILA Augmented VILA.
Diving into Self-Evolving Training for Multimodal Reasoning VILA$^2$: VILA Augmented VILA
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.851989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 826696bf-c942-4d62-ae1c-4d635417b65a · outbound
This paper cites Incoder: A generative model for code infilling and synthesis.
Diving into Self-Evolving Training for Multimodal Reasoning Incoder: A generative model for code infilling and synthesis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:32:40.297445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5c278405-21c9-4421-bcf6-27aff4bbb879 · outbound
This paper cites G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
Diving into Self-Evolving Training for Multimodal Reasoning G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.862368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 969ad025-6c86-4cf4-b28a-e3082c24e5c0 · outbound
This paper cites Reinforced Self-Training (ReST) for Language Modeling.
Diving into Self-Evolving Training for Multimodal Reasoning Reinforced Self-Training (ReST) for Language Modeling
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.867648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e348a9a1-f9ca-4d47-8d74-ed40ae29640f · outbound
This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.
Diving into Self-Evolving Training for Multimodal Reasoning V-STaR: Training Verifiers for Self-Taught Reasoners
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.872790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e45c6ed-6f4d-4a22-866e-93d0621f8740 · outbound
This paper cites Large Language Models Can Self-Improve.
Diving into Self-Evolving Training for Multimodal Reasoning Large Language Models Can Self-Improve
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.878759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f69d33ff-0a87-4061-93eb-208e75244e8d · outbound
This paper cites A diagram is worth a dozen images.
Diving into Self-Evolving Training for Multimodal Reasoning A diagram is worth a dozen images
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.883351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4633b1a-269c-466f-9b52-d77707814ff3 · outbound
This paper cites ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation.
Diving into Self-Evolving Training for Multimodal Reasoning ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.888290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2946bda4-133e-4ea6-a6eb-6b3882d44d95 · outbound
This paper cites Let's Verify Step by Step.
Diving into Self-Evolving Training for Multimodal Reasoning Let's Verify Step by Step
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.893520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad732cd-7290-4c63-995a-1b85766ec56f · outbound
This paper cites an unresolved cited work.
Diving into Self-Evolving Training for Multimodal Reasoning Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:32:40.270810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d1470872-d6d6-4705-beab-8cb192fa6bfe · outbound
This paper cites an unresolved cited work.
Diving into Self-Evolving Training for Multimodal Reasoning Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.904473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 821f263e-fb7c-4416-bf35-602f12aefb39 · outbound
This paper cites A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation.
Diving into Self-Evolving Training for Multimodal Reasoning A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.909320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8600d892-1138-4d4e-a81b-c5c9164fc385 · outbound
This paper cites VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
Diving into Self-Evolving Training for Multimodal Reasoning VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.915513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55e769cf-df5b-4dc0-b08d-9d274dcf0e8f · outbound
This paper cites Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pp.\ 216--233.
Diving into Self-Evolving Training for Multimodal Reasoning Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pp.\ 216--233
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.921385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd22d068-7a4d-40f7-b0b7-e141f9275fca · outbound
This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
Diving into Self-Evolving Training for Multimodal Reasoning MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.926897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f0d2b5c-08d9-43cd-b7ed-c501a75db81b · outbound
This paper cites L., Tan, J.
Diving into Self-Evolving Training for Multimodal Reasoning L., Tan, J
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.934182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b192fef6-e7ae-4733-b147-49850334b8cb · outbound
This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.
Diving into Self-Evolving Training for Multimodal Reasoning Introducing meta llama 3: The most capable openly available llm to date, 2024
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.940538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93151882-fac8-45b9-98ca-245f5337c5ad · outbound
This paper cites Iterative Reasoning Preference Optimization.
Diving into Self-Evolving Training for Multimodal Reasoning Iterative Reasoning Preference Optimization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.945911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43a5cce4-cb50-45cf-ac97-1b6fabdb673f · outbound
This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.
Diving into Self-Evolving Training for Multimodal Reasoning W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.951753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5bb887b-d140-4278-b32f-ffc07ee6f29f · outbound
This paper cites Proximal Policy Optimization Algorithms.
Diving into Self-Evolving Training for Multimodal Reasoning Proximal Policy Optimization Algorithms
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.958511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf46a2d-ccf4-4153-b15e-830695889de3 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Diving into Self-Evolving Training for Multimodal Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.964101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ec73ec3-d9ad-484e-9584-50f3fe4e18ff · outbound
This paper cites Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
Diving into Self-Evolving Training for Multimodal Reasoning Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.969733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dff38718-995e-490a-abe9-9cc6bbafe7eb · outbound
This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
Diving into Self-Evolving Training for Multimodal Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.975103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 493225b0-a140-448a-a552-4826cae769ad · outbound
This paper cites Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.
Diving into Self-Evolving Training for Multimodal Reasoning Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.981633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cf9947e-8342-4a8d-84d5-709b272f4580 · outbound
This paper cites Math-shepherd: Verify and reinforce LLM s step-by-step without human annotations.
Diving into Self-Evolving Training for Multimodal Reasoning Math-shepherd: Verify and reinforce LLM s step-by-step without human annotations
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:32:40.068328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d6acb88e-0c2e-47ab-92aa-d05159bdc3a0 · outbound
This paper cites Progress or Regress? Self-Improvement Reversal in Post-training.
Diving into Self-Evolving Training for Multimodal Reasoning Progress or Regress? Self-Improvement Reversal in Post-training
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.992525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41e40ab7-0702-4e79-9cf8-63cdc68ae477 · outbound
This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.
Diving into Self-Evolving Training for Multimodal Reasoning LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:38.998633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8711f226-4e21-4c89-851c-71bb01cdbaa9 · outbound
This paper cites ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
Diving into Self-Evolving Training for Multimodal Reasoning ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.004817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25e57039-bf7c-4185-9448-6f9feaf9f5cb · outbound
This paper cites LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.
Diving into Self-Evolving Training for Multimodal Reasoning LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.011578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bdbebda-d4f6-475e-a1b9-1b4c876c8e13 · outbound
This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.
Diving into Self-Evolving Training for Multimodal Reasoning MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.016623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c808077-1d9b-44f7-91e2-b63224468d19 · outbound
This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
Diving into Self-Evolving Training for Multimodal Reasoning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.021608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 346921c3-282a-439c-b4bf-1f547f5ea9a2 · outbound
This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.
Diving into Self-Evolving Training for Multimodal Reasoning Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.027142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 444f5f3e-4ae1-4f76-8e2b-4644c154d6e8 · outbound
This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
Diving into Self-Evolving Training for Multimodal Reasoning MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.032356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb4cfa7-e5b0-4dce-be7a-f11e06b53167 · outbound
This paper cites Star: Bootstrapping reasoning with reasoning.
Diving into Self-Evolving Training for Multimodal Reasoning Star: Bootstrapping reasoning with reasoning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.037946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9528d355-cb91-468a-88e7-7668b1f77f8b · outbound
This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
Diving into Self-Evolving Training for Multimodal Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.046843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b3774b4-3156-4f8b-b5bc-62f8c1cecd4a · outbound
This paper cites B- ST ar: Monitoring and balancing exploration and exploitation in self-taught reasoners.
Diving into Self-Evolving Training for Multimodal Reasoning B- ST ar: Monitoring and balancing exploration and exploitation in self-taught reasoners
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:32:40.038164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7bb639e3-64aa-43b3-89a1-7bfe5d2d98ba · outbound
This paper cites Sigmoid loss for language image pre-training.
Diving into Self-Evolving Training for Multimodal Reasoning Sigmoid loss for language image pre-training
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.058274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7dc7ea2-d931-4bfb-8a99-abcde8ad81a0 · outbound
This paper cites Re ST - MCTS *: LLM self-training via process reward guided tree search.
Diving into Self-Evolving Training for Multimodal Reasoning Re ST - MCTS *: LLM self-training via process reward guided tree search
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:32:40.019254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c6ba98ab-5eb9-4534-b122-ca04f7d1ad34 · outbound
This paper cites MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.
Diving into Self-Evolving Training for Multimodal Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.069771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd60f60c-468f-4ed7-9a24-ce632c310fc1 · outbound
This paper cites write newline.
Diving into Self-Evolving Training for Multimodal Reasoning write newline
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:32:39.075363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation f1986e7c-ec77-42a7-98a7-b29c2dbfc94f · inbound
CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions cites this paper.
CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions Diving into Self-Evolving Training for Multimodal Reasoning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T10:58:29.367654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b622981-74cc-499c-9762-b210c1de0bbc · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models Diving into Self-Evolving Training for Multimodal Reasoning
Reference 176
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.226918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8745bd44-0a92-4216-839b-d168c0e96028 · inbound
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Diving into Self-Evolving Training for Multimodal Reasoning
Reference 241
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:18:53.551812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0ad5efed-1cde-4734-b7ec-3e0100d528ac · inbound
Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.
Realistic Evaluation of TabPFN v2 in Open Environments Diving into Self-Evolving Training for Multimodal Reasoning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:16.756120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1208e7d4-dfad-4aa9-ba0d-592b73ae6df9 · inbound
GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking cites this paper.
GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking Diving into Self-Evolving Training for Multimodal Reasoning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:12.938364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7716c05-1979-4b7e-9fbe-c8f56a9c90d3 · inbound
GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning cites this paper.
GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning Diving into Self-Evolving Training for Multimodal Reasoning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:59:52.403063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 682d4100-6566-402a-92b2-bc73aefc2ca9 · inbound
EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations cites this paper.
EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations Diving into Self-Evolving Training for Multimodal Reasoning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:25:54.902622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5aa54b37-2009-42e7-9242-1e423e50f7bc · inbound
Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.
Compared to What? Baselines and Metrics for Counterfactual Prompting Diving into Self-Evolving Training for Multimodal Reasoning
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T19:05:10.663287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aad56041-7083-42d2-bfe0-3fb4067aa380 · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Diving into Self-Evolving Training for Multimodal Reasoning
Reference 156
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:57:41.314324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7ce451c5-430f-4eee-9485-b72b089c4062 · inbound
Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models cites this paper.
Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models Diving into Self-Evolving Training for Multimodal Reasoning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:39:50.974194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.