Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T12:26:35.347190Z
Paper Citation Record · LEDGER
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
As of 10 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 23 inbound Pith citation observations for arXiv:2511.20785.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:44:30.446320Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T23:57:29.009867Z
Reference resolution
78 of 78 outbound references displayed
- verified exact39
- verified fuzzy34
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1803a682-99dd-4f8a-8d36-d60618b5508c · outbound
This paper cites Qwen2.5-VL Technical Report.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Qwen2.5-VL Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.161590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a8aaab0-b1f6-4fde-bec6-dbbb05df58b9 · outbound
This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.156486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33645a7d-b6ce-4652-9c36-c75bc0cbcb9f · outbound
This paper cites Eliciting good teach- ing from humans for machine learners.Artificial Intelli- gence, 217:198–215.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Eliciting good teach- ing from humans for machine learners.Artificial Intelli- gence, 217:198–215
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.431537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d58c8e1-1d83-48dd-b329-731707038f6e · outbound
This paper cites Scaling rl to long videos.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Scaling rl to long videos
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.136039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a31ee9d4-276b-4c1e-ae4a-d15a60da42fc · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.125373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7375c2a6-00eb-42f6-949c-aa42fe7a2fce · outbound
This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.114168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation defd5cf4-3f2d-4a55-a75d-5f90f4a6b999 · outbound
This paper cites Grit: Teaching mllms to think with images.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Grit: Teaching mllms to think with images
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.532424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3370bf28-1857-433f-94df-791457f86533 · outbound
This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Video-R1: Reinforcing Video Reasoning in MLLMs
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.130559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99a61f56-340b-4303-ac3e-1e475c8eafbd · outbound
This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.488721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a9e2d1e-a724-4175-a50e-7ecfea661c8f · outbound
This paper cites Tall: Temporal activity localization via language query.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Tall: Temporal activity localization via language query
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.474382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1860182d-18fe-4106-a32e-c950dc30d4d5 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.211332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d56bec6f-774d-4c95-9ee0-4f1f46841545 · outbound
This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.167022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T17:38:13.144769+00:00.
Observation e7c55f0d-303b-4a64-9a88-1f4fcf08e9cf · outbound
This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.096789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation db538753-134e-4d52-bcdc-7e22f7d36f1c · outbound
This paper cites Multimodal Pretraining for Dense Video Captioning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Multimodal Pretraining for Dense Video Captioning
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T12:31:32.141515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4b039082-438e-4e4f-b285-182a2e3320e8 · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.190720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 75ed6b6b-8a84-4e41-a107-081a0296402e · outbound
This paper cites GPT-4o System Card.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling GPT-4o System Card
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.045940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e013938b-4d46-4e6b-9aef-0ee10b22a32b · outbound
This paper cites OpenAI o1 System Card.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling OpenAI o1 System Card
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.220560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a40fa3c1-a31f-40e4-bdab-6b820b5dcc20 · outbound
This paper cites Dense-captioning events in videos.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Dense-captioning events in videos
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.420723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d5e9c8b-9e50-406b-9a2a-1182e14119b3 · outbound
This paper cites Efficient memory management for large language model serving with pagedattention.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Efficient memory management for large language model serving with pagedattention
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.412225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e162c062-dcd5-40dc-8676-d4dfd24e22ec · outbound
This paper cites Mmr1: Enhancing multimodal reasoning with variance-aware sampling and open resources.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Mmr1: Enhancing multimodal reasoning with variance-aware sampling and open resources
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.206753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8f292c1d-1083-4035-b4a8-109329d1dec2 · outbound
This paper cites Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.069649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecf324f7-8933-45cc-be95-8205f0c92abd · outbound
This paper cites Getting more juice out of the sft data: Reward learning from human demonstration im- proves sft for llm alignment.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Getting more juice out of the sft data: Reward learning from human demonstration im- proves sft for llm alignment
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.392467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 50c9cc20-5e77-411b-9639-32ae51d09f64 · outbound
This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Mvbench: A comprehensive multi-modal video understand- ing benchmark
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.386751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ddf0c330-017f-4c29-bea1-aa1305376dbb · outbound
This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.080338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e5e01f37-b4c6-474a-ad85-93bcaf1b25e0 · outbound
This paper cites Improving LLM Video Understanding with 16 Frames Per Second.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Improving LLM Video Understanding with 16 Frames Per Second
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.029653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dcd0194-5192-4bb7-a88b-9347000e7bcf · outbound
This paper cites TempCompass: Do Video LLMs Really Understand Videos?.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling TempCompass: Do Video LLMs Really Understand Videos?
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.146602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eb9ad06b-178c-4d09-a0f6-cdb573499716 · outbound
This paper cites Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.051892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a812e6fe-f005-4658-a14e-be7ad891c435 · outbound
This paper cites Visual- rft: Visual reinforcement fine-tuning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Visual- rft: Visual reinforcement fine-tuning
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.528760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9610c8f8-e10f-4c9f-9e40-f77919ce2090 · outbound
This paper cites Lmms engine: A simple, unified multimodal framework for pretraining and finetuning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Lmms engine: A simple, unified multimodal framework for pretraining and finetuning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.525298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 287c10d8-49d4-499c-8759-9ad328db39b3 · outbound
This paper cites Decoupled weight de- cay regularization.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Decoupled weight de- cay regularization
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.522210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e830ca06-9952-4c82-8162-2386324ae9e8 · outbound
This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.224788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 16d2845b-c608-46ab-a7b2-e6df01955518 · outbound
This paper cites Multi-agent tool-integrated policy optimization.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Multi-agent tool-integrated policy optimization
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.201926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5703c378-62c0-4dbb-92fc-9865edcc08b0 · outbound
This paper cites We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.024121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 019fc509-e74e-4ac3-a632-740d465dc066 · outbound
This paper cites Timechat: A time-sensitive multimodal large lan- guage model for long video understanding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Timechat: A time-sensitive multimodal large lan- guage model for long video understanding
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.515092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e850eea-5ab7-47b2-8dad-97170513fb76 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.181195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df2d44da-ba2d-454b-b5ea-d86e7af558d9 · outbound
This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.175943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c832576-f115-479a-9c46-b7c4754a6207 · outbound
This paper cites Hybridflow: A flexible and efficient rlhf frame- work.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Hybridflow: A flexible and efficient rlhf frame- work
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.510500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10f7f488-b341-44b6-9381-09780649fa15 · outbound
This paper cites Moviechat: From dense token to sparse memory for long video understanding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Moviechat: From dense token to sparse memory for long video understanding
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.505611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e796a7eb-080e-45f2-a817-76cd249db505 · outbound
This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.107643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c9dc37b-4062-4914-bf2e-5acfc1754921 · outbound
This paper cites Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.085860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b062510-547a-4e97-8dfa-59e07ae1c9ca · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.063982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a03504dc-a5b3-4e47-ad21-f04005391ee2 · outbound
This paper cites Introducing gpt-5.https://openai.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Introducing gpt-5.https://openai
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.495472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e94abd91-47ea-4c4a-99f6-47dffcb31e31 · outbound
This paper cites Thinking with images.https : / / openai.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Thinking with images.https : / / openai
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.483019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01a1aca1-5554-4d88-99b2-06a043325214 · outbound
This paper cites Qwen3-vl: Sharper vision, deeper thought, broader action.https : / / qwen.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Qwen3-vl: Sharper vision, deeper thought, broader action.https : / / qwen
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.478846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25424899-9b6f-4a06-8cc5-23aa0f89dd3c · outbound
This paper cites Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T12:31:32.236221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c1eae4c-1337-4205-8701-1199a1732dfd · outbound
This paper cites Videorft: Incentivizing video reasoning capability in mllms via reinforced fine-tuning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Videorft: Incentivizing video reasoning capability in mllms via reinforced fine-tuning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.035289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f3d31a6b-3bf4-423a-8d39-35b9d2f45f75 · outbound
This paper cites Video-thinker: Sparking” thinking with videos” via reinforcement learning.arXiv preprint arXiv:2510.23473.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Video-thinker: Sparking” thinking with videos” via reinforcement learning.arXiv preprint arXiv:2510.23473
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.230480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19aa4829-85a0-4bfe-ad7d-51b8bda8b69b · outbound
This paper cites LVBench: An Extreme Long Video Understanding Benchmark.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling LVBench: An Extreme Long Video Understanding Benchmark
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.242262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0cb23fb-6be2-490f-aad7-b67241350fb9 · outbound
This paper cites Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.196643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a526b2e7-b85f-4423-9f46-b3b7a97e27a2 · outbound
This paper cites SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.091443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 171533f5-08aa-41cc-a06a-e0d09c4a442f · outbound
This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Longvideobench: A benchmark for long-context interleaved video-language understanding
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.466568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 883dd067-7b04-4678-bc66-34470e1a4def · outbound
This paper cites Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.151747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 08680bff-c31c-449f-8452-ea23d07eb820 · outbound
This paper cites Llava-cot: Let vision language models reason step-by-step.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Llava-cot: Let vision language models reason step-by-step
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.462026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 74e7bc5f-527d-4477-b757-a666d5559e89 · outbound
This paper cites Vidchapters-7m: Video chapters at scale.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Vidchapters-7m: Video chapters at scale
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.453687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10228c5a-7805-42a1-95d5-5b0c4b9a0011 · outbound
This paper cites Qwen3 Technical Report.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Qwen3 Technical Report
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.186280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9865d19b-5c60-41d9-b3bb-e105a21e42ff · outbound
This paper cites Mermaid: Multi-perspective self-reflective agents with generative augmentation for emotion recogni- tion.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Mermaid: Multi-perspective self-reflective agents with generative augmentation for emotion recogni- tion
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.448529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c4e0aa3-df5e-4ede-81a3-84bc2f0d80c2 · outbound
This paper cites Timeexpert: An expert-guided video llm for video temporal grounding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Timeexpert: An expert-guided video llm for video temporal grounding
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.442860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 746dd75b-1364-4a2a-9759-2f5224962600 · outbound
This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.040604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation decedb93-683f-46c0-ade1-39bc7d6a6c37 · outbound
This paper cites Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.058146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83322ef6-a248-48a8-8aac-fb5d57a6bb21 · outbound
This paper cites Lmms-eval: Re- ality check on the evaluation of large multimodal models.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Lmms-eval: Re- ality check on the evaluation of large multimodal models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.339109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4fc2f709-6320-443d-8391-1827576d54bf · outbound
This paper cites Open- mmreasoner: Pushing the frontiers for multimodal rea- soning with an open and general recipe.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Open- mmreasoner: Pushing the frontiers for multimodal rea- soning with an open and general recipe
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.216194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 12dcbb22-01b4-4ab3-adb3-bf8dfcb4a39b · outbound
This paper cites Sglang: Efficient execution of structured language model programs.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Sglang: Efficient execution of structured language model programs
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.436174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e825e151-6870-42c7-859f-199a1db069bc · outbound
This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T12:31:32.101909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a349702-83c9-405d-ae4c-4abb8a12968e · outbound
This paper cites Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.120343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dcbe1b05-3af5-4d01-abf3-0068c9992cbf · outbound
This paper cites Thinking with Long Videos.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Thinking with Long Videos
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.415766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 63cd8ef0-b944-4d84-b09b-6b7da544ddbf · outbound
This paper cites global- to-local.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling global- to-local
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.426865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c0c672d9-2f1b-4278-b36a-6728a0236cb1 · outbound
This paper cites black-box.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling black-box
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.342766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61b5ff77-1fa6-4418-87c8-73736968a10a · outbound
This paper cites an unresolved cited work.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T12:31:33.408264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 002d6096-c4c9-4e69-b0f6-5bce9fd7ae37 · outbound
This paper cites For a sequence of to- kensx= (x 1, x2.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling For a sequence of to- kensx= (x 1, x2
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.404477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5ad3a10-90e2-40e9-bf04-fbcf1d36130c · outbound
This paper cites segment.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling segment
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.400583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6f0680c-c77f-4eb0-9f8f-7dc3203ae0e9 · outbound
This paper cites of Training Steps 3000 160 1600 No.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling of Training Steps 3000 160 1600 No
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.396484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0ab04516-4e0d-4549-bcbf-e862db263788 · outbound
This paper cites To optimize training throughput and mini- mize memory overhead, we employ an online stream pack- ing strategy on iterable datasets.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling To optimize training throughput and mini- mize memory overhead, we employ an online stream pack- ing strategy on iterable datasets
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:31:32.074580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38bf6c0c-35b3-47bc-93f7-c592a6dd817b · outbound
This paper cites blindly rephrasing.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling blindly rephrasing
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.366229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a7f044a-4386-4568-936a-957187704e86 · outbound
This paper cites Figure 8 shows the RL prompt template, while Figure 9 presents the evaluation prompts used in LLM-as-a-Judge [55] for measuring an- swer’s accuracy during RL.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Figure 8 shows the RL prompt template, while Figure 9 presents the evaluation prompts used in LLM-as-a-Judge [55] for measuring an- swer’s accuracy during RL
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.362311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d4ff94d2-b6dd-45af-a3d6-42b9ee544eb0 · outbound
This paper cites which video-game device.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling which video-game device
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.354158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8e9e3b7e-3719-488e-87ee-e72e6c5cee4d · outbound
This paper cites Manager Agent.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Manager Agent
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:31:33.358062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 96ba2574-6902-491f-97d7-db468b8068ce · outbound
This paper cites an unresolved cited work.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Unresolved cited work
Reference 77
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T12:31:33.350525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation edd5039e-2c14-44f5-aa43-f6f811f9e65b · outbound
This paper cites type\": \.
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling type\": \
Reference 78
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-22T12:31:33.346826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 8fefce4c-9f16-436d-8401-14a1fc6533f7 · inbound
Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion cites this paper.
Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:14:29.827113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1853d597-68bd-479a-9d74-f4b5a5de2089 · inbound
SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration cites this paper.
SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6fdfb335-2546-416f-9041-2116e76163e5 · inbound
Towards Temporal Compositional Reasoning in Long-Form Sports Videos cites this paper.
Towards Temporal Compositional Reasoning in Long-Form Sports Videos LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T19:27:29.843866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c82f0a56-b982-41c8-abe8-02f30c77477d · inbound
Listening with Time: Precise Temporal Awareness for Long-Form Audio Understanding cites this paper.
Listening with Time: Precise Temporal Awareness for Long-Form Audio Understanding LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c9cd432-51a9-4eff-b391-3f0a94580521 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 87b5d782-aa15-4247-9fbb-5a5496436de7 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d7afae0f-6d56-4e21-b48f-558fcaf230c3 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27f57a54-0925-4793-9327-0f5a7c295afc · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:10:23.810108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f715dfd-16b0-4121-bb77-847e8cd17f85 · inbound
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context cites this paper.
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d7aa7b6-1fb2-4c32-aab1-d57edb0175ce · inbound
VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation cites this paper.
VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f89b4fde-71dc-4784-8cb6-0e114f505ec9 · inbound
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:03:52.219011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9d494c51-66e2-4e41-8b30-5e2ce9880069 · inbound
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning cites this paper.
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T09:01:19.351659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2a19d64-227e-4966-b2e5-461947f50484 · inbound
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models cites this paper.
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T23:14:02.223873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f51a4f7d-3e4e-4c37-8c49-fe4634c4e81d · inbound
DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding cites this paper.
DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T17:53:47.134508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61dc3136-4bae-4c4c-b7e3-41a7414eda5d · inbound
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:02:46.724918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 72dbfd35-0cd6-4c54-a29b-e77cf02b29ce · inbound
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:57:25.653996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7fb84d69-481c-4343-82a3-1c1197003617 · inbound
Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.
Watch, Remember, Reason: Human-View Video Understanding with MLLMs LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 225
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T17:27:15.009771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01eed325-0932-4037-8540-251c083a5513 · inbound
See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding cites this paper.
See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:57:29.011320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33581240-59c3-4c43-9c98-6cadb8054af6 · inbound
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs cites this paper.
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T06:34:19.468445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 76827ce1-ff53-47e5-bcc8-1c7bf879aab3 · inbound
VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning cites this paper.
VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:04:16.637378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ffb45fa-d594-474d-aa85-e13fd2a50c35 · inbound
Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA cites this paper.
Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:09:45.294808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f57e935-e817-4ec8-8ad7-79753866fcaa · inbound
Thinking in Video: Can Video Generators Really Reason About the Real World? cites this paper.
Thinking in Video: Can Video Generators Really Reason About the Real World? LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:47:12.458101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fba83264-40dc-4253-a0ee-d9b25e798be5 · inbound
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent cites this paper.
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:44:30.446320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.