Paper Citation Record · LEDGER

Reinforcing Video Reasoning with Focused Thinking

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 7 inbound Pith citation observations for arXiv:2505.24718.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.24718 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:14.226407Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:29:31.751173Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T17:27:15.553972Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy6
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9badecf-09ff-4624-b35a-5e04c047cb19 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reinforcing Video Reasoning with Focused Thinking DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:10.960839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ce1a9a-d3b4-49aa-9a09-05aed9e84c1f · outbound

This paper cites R1-v: Reinforcing super generalization ability in vision-language models with less than $3,.

Reinforcing Video Reasoning with Focused Thinking R1-v: Reinforcing super generalization ability in vision-language models with less than $3,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.828030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8d80d51-c2f5-47cb-a6a5-1ac8e721ad9f · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Reinforcing Video Reasoning with Focused Thinking Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.183874Z

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Observation def96e6b-1f53-4bcc-84cc-98fe0f272012 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Reinforcing Video Reasoning with Focused Thinking MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.241111Z

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Observation 9cef48be-5148-48ee-8727-049a8ab0dbc7 · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

Reinforcing Video Reasoning with Focused Thinking R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.311509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cdd7ca-ef91-47f0-b384-caf56fe79085 · outbound

This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.

Reinforcing Video Reasoning with Focused Thinking LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.359058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a643dc-ec93-43fe-ac47-f4c49d1f0933 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

Reinforcing Video Reasoning with Focused Thinking Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.399735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4361f0-b713-4b46-a04a-8ee3ac1a028f · outbound

This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

Reinforcing Video Reasoning with Focused Thinking VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.468450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a269062-f33e-4c8c-8661-ef6baf68d974 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Reinforcing Video Reasoning with Focused Thinking DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.489252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f385f3f-9ae7-46d2-8098-d70880665cf6 · outbound

This paper cites MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency.

Reinforcing Video Reasoning with Focused Thinking MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.542607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c644961-f39d-4b35-85d2-385fb0255c0c · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

Reinforcing Video Reasoning with Focused Thinking R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.606319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39800715-77d3-4a6b-8dcb-9616d86a5364 · outbound

This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.

Reinforcing Video Reasoning with Focused Thinking CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.671883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63dc5c0e-fd1e-4515-8820-7df1a7617a02 · outbound

This paper cites Can i trust your answer? visually grounded video ques- tion answering,.

Reinforcing Video Reasoning with Focused Thinking Can i trust your answer? visually grounded video ques- tion answering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.577845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b10404a4-85df-4172-9be5-4bc22869d712 · outbound

This paper cites MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

Reinforcing Video Reasoning with Focused Thinking MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.825894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b2b73f-acf5-4bf4-b0e6-2208a7941102 · outbound

This paper cites OpenAI o1 System Card.

Reinforcing Video Reasoning with Focused Thinking OpenAI o1 System Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.951541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8070ccbe-b763-47b6-b467-3b9d0d7c8850 · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

Reinforcing Video Reasoning with Focused Thinking Secrets of RLHF in Large Language Models Part I: PPO

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.045876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0613e258-0573-4692-ae18-f61740a8bef4 · outbound

This paper cites Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning.

Reinforcing Video Reasoning with Focused Thinking Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.120909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4aba80-d73a-4225-914e-cd2b8ce53e20 · outbound

This paper cites SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization.

Reinforcing Video Reasoning with Focused Thinking SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.190500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5119cd-5d9d-4291-8035-90a5405ecd91 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Reinforcing Video Reasoning with Focused Thinking VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.277375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868cd186-217e-47e2-9345-540ad555343e · outbound

This paper cites Audio-Visual LLM for Video Understanding.

Reinforcing Video Reasoning with Focused Thinking Audio-Visual LLM for Video Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.360528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be92ba5-8340-4a3b-9337-dce1fb7f4931 · outbound

This paper cites Visa: Reasoning video object segmentation via large language models,.

Reinforcing Video Reasoning with Focused Thinking Visa: Reasoning video object segmentation via large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.384290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87bdd1af-243d-4b5e-b13e-7a70c8daa3c9 · outbound

This paper cites Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition.

Reinforcing Video Reasoning with Focused Thinking Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.546086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bd86063-dc8f-43ee-b910-3d8236c3ae10 · outbound

This paper cites LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer.

Reinforcing Video Reasoning with Focused Thinking LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.643287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a68fac34-d6bf-45f2-9f76-6ba773877cc4 · outbound

This paper cites Forking Paths in Neural Text Generation.

Reinforcing Video Reasoning with Focused Thinking Forking Paths in Neural Text Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.716029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570faee5-66db-4c4e-812c-0e3a9d8f6b1c · outbound

This paper cites Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability.

Reinforcing Video Reasoning with Focused Thinking Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.794644Z

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Observation 605d6a0f-b46e-45a6-b1fd-25588ab8c0ca · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Reinforcing Video Reasoning with Focused Thinking DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.867048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc28f2d-2237-4f73-bb25-60c69b46ac44 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark,.

Reinforcing Video Reasoning with Focused Thinking Mvbench: A comprehensive multi-modal video understanding benchmark,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.240891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf3020a1-1f48-4b8c-81aa-788731fa7a08 · outbound

This paper cites TempCompass: Do Video LLMs Really Understand Videos?.

Reinforcing Video Reasoning with Focused Thinking TempCompass: Do Video LLMs Really Understand Videos?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.038077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed7a548-6ece-4d28-8108-5f014352f3ba · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Reinforcing Video Reasoning with Focused Thinking Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.162144Z

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Unavailable: canonical work link unavailable.

Observation ff5b7fee-4772-452d-8a82-d0de440785c9 · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models,.

Reinforcing Video Reasoning with Focused Thinking Llama-vid: An image is worth 2 tokens in large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.104174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 708677d5-b6a1-4e7b-88c6-5af249e4da12 · outbound

This paper cites Long Context Transfer from Language to Vision.

Reinforcing Video Reasoning with Focused Thinking Long Context Transfer from Language to Vision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.330350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d94e55-924f-4bef-8a01-09d71e5a273c · outbound

This paper cites Unhackable Temporal Rewarding for Scalable Video MLLMs.

Reinforcing Video Reasoning with Focused Thinking Unhackable Temporal Rewarding for Scalable Video MLLMs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.428738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6443ad05-adcd-41d2-b2e6-1dc1fa460b2e · outbound

This paper cites Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input.

Reinforcing Video Reasoning with Focused Thinking Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.508706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea08b928-4410-4cbe-9613-cb0320456b33 · outbound

This paper cites Qwen2.5-VL Technical Report.

Reinforcing Video Reasoning with Focused Thinking Qwen2.5-VL Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.630605Z

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Unavailable: canonical work link unavailable.

Observation b23e32ea-f4c2-45bd-a21a-5b55d020807b · outbound

This paper cites STAR: A Benchmark for Situated Reasoning in Real-World Videos.

Reinforcing Video Reasoning with Focused Thinking STAR: A Benchmark for Situated Reasoning in Real-World Videos

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.702673Z

Source-reported events for the cited work

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Observation 04fb0489-b2e9-4f57-b528-5d163eb5e669 · outbound

This paper cites The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning.

Reinforcing Video Reasoning with Focused Thinking The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.785924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa37307-72ef-439b-9160-a7171164c542 · outbound

This paper cites Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization.

Reinforcing Video Reasoning with Focused Thinking Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.915142Z

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Unavailable: canonical work link unavailable.

Observation 059a37cd-0a8a-4db3-8832-8abd7abb548e · outbound

This paper cites Learning to Reason without External Rewards.

Reinforcing Video Reasoning with Focused Thinking Learning to Reason without External Rewards

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:14.022769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a939a17-bd5f-4ae7-8863-1005e0f9acf6 · outbound

This paper cites Scalable best-of-n selection for large language models via self-certainty,.

Reinforcing Video Reasoning with Focused Thinking Scalable best-of-n selection for large language models via self-certainty,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:14.098816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba31ede-d6d4-4a2b-884f-d19b251f9087 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reinforcing Video Reasoning with Focused Thinking Proximal Policy Optimization Algorithms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:14.151223Z

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Unavailable: canonical work link unavailable.

Observation 9d76de55-bffc-4eba-982d-7a74f3e6c844 · outbound

This paper cites Trl: Transformer reinforcement learning,.

Reinforcing Video Reasoning with Focused Thinking Trl: Transformer reinforcement learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:14.955173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 11ef9459-0e33-44f8-b644-437f7bf2568f · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Reinforcing Video Reasoning with Focused Thinking

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:42.109496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d580f246-b69a-4ce7-9e75-ff8a42927870 · inbound

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding cites this paper.

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding Reinforcing Video Reasoning with Focused Thinking

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:17:18.498226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5846c80-5fad-47c0-a4f5-ee604d4987cf · inbound

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering Reinforcing Video Reasoning with Focused Thinking

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T23:29:31.751173Z

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Unavailable: canonical work link unavailable.

Observation 64b23fc0-7c1f-43fa-b7cd-ae758657a52e · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Reinforcing Video Reasoning with Focused Thinking

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.240758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa44740c-da3e-4761-9ada-d3c4e94c2d7c · inbound

Watch Before You Answer: Learning from Visually Grounded Post-Training cites this paper.

Watch Before You Answer: Learning from Visually Grounded Post-Training Reinforcing Video Reasoning with Focused Thinking

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:20:46.742418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47928768-5cd9-4810-bb8b-6b6ceda6a724 · inbound

Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs cites this paper.

Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs Reinforcing Video Reasoning with Focused Thinking

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:56:06.417753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 836b67cd-9967-44af-b27b-fc1230f82719 · inbound

Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs Reinforcing Video Reasoning with Focused Thinking

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.555931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.