Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T02:40:06.454859Z
Paper Citation Record · LEDGER
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
As of 12 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 67 inbound Pith citation observations for arXiv:2503.13377.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:13:44.215349Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T09:49:44.696023Z
Reference resolution
87 of 87 outbound references displayed
- verified exact16
- verified fuzzy60
- unresolved9
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 096c1a33-4843-4c20-92da-e0ce2affb49c · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:40:06.573742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e61632f0-3b9a-4f38-ba2c-f454ec0df487 · outbound
This paper cites Ht- step: Aligning instructional articles with how-to videos.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Ht- step: Aligning instructional articles with how-to videos
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.726653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e2ef44aa-49b9-40a7-8309-e4a21faae837 · outbound
This paper cites Localizing moments in video with natural language.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Localizing moments in video with natural language
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.728902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ee4c2169-a8cb-459f-a967-4ed71a2d93ad · outbound
This paper cites Qwen2.5-VL Technical Report.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Qwen2.5-VL Technical Report
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.507723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5ea3db8-702b-44c1-afe5-c9b46f2a8aaf · outbound
This paper cites Activitynet: A large-scale video benchmark for human activity understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Activitynet: A large-scale video benchmark for human activity understanding
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.731397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 23757ce9-7cf5-4e21-acd0-efa2698440a5 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Quo vadis, action recognition? a new model and the kinetics dataset
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.733491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6a476057-7e8f-4ff9-bc39-04119bafc60f · outbound
This paper cites R1-v: Reinforcing super generalization ability in vision-language models with less than $3.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding R1-v: Reinforcing super generalization ability in vision-language models with less than $3
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.735812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9a5d427b-7514-4874-add1-6467a324e001 · outbound
This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Instructblip: Towards general-purpose vision-language models with instruction tuning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.738373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f43f72c3-cd01-4541-ba18-6a13ad6c8519 · outbound
This paper cites Space-time gestures.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Space-time gestures
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.740776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2c13ca72-7eb0-4508-9ce8-1c02e190ced2 · outbound
This paper cites Gemini 2.5: Our most intelligent ai model.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Gemini 2.5: Our most intelligent ai model
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.743001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3223d133-1d40-49f7-9453-fb96ce97b930 · outbound
This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.554694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fa54be3e-b58e-4f18-aded-7e569bad7d7b · outbound
This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding BERT: pre-training of deep bidirectional transformers for language understanding
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.745512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9d6d75e6-3091-490a-930b-8337c7f39a16 · outbound
This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.747757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e55fd23-8794-4d2e-bc3a-51d5f22a30cb · outbound
This paper cites Temporal localization of actions with actoms.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Temporal localization of actions with actoms
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.750429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43375593-cc1d-44d5-a288-6f65c76d8cc3 · outbound
This paper cites Tall: Temporal activity localization via language query.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Tall: Temporal activity localization via language query
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.753043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 08d09f77-dc32-4adf-a481-0249d88cf950 · outbound
This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Ego4d: Around the world in 3,000 hours of egocentric video
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.755326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 12ebfb1b-4d40-4fd9-9038-7786c0f35795 · outbound
This paper cites Vtg-llm: Integrating timestamp knowledge into video llms for enhanced video temporal grounding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Vtg-llm: Integrating timestamp knowledge into video llms for enhanced video temporal grounding
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.757551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 19caab2e-e0db-403e-ac63-bf1a537f359b · outbound
This paper cites TRACE: Temporal Grounding Video LLM via Causal Event Modeling.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding TRACE: Temporal Grounding Video LLM via Causal Event Modeling
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.559123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6a400c74-73e5-4ff1-a38f-e7599b192f3b · outbound
This paper cites Revisionllm: Recursive vision-language model for temporal grounding in hour-long videos.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Revisionllm: Recursive vision-language model for temporal grounding in hour-long videos
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.760082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0bd322c1-83a4-4854-9fd3-4f13e6bcb140 · outbound
This paper cites Lora: Low-rank adaptation of large language models.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Lora: Low-rank adaptation of large language models
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.762465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1f3d2a80-e189-43d4-a033-07cd3e570de5 · outbound
This paper cites Vtimellm: Empower llm to grasp video moments.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Vtimellm: Empower llm to grasp video moments
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.577628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b579597b-975f-4620-bc20-fd659085394a · outbound
This paper cites Knowing where to focus: Event-aware transformer for video grounding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Knowing where to focus: Event-aware transformer for video grounding
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.581626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 16c6a277-cee3-4627-93bc-e820a671a932 · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Gonzalez, Hao Zhang, and Ion Stoica
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.585180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 83ecb689-6839-4cf0-8971-0b82530f2539 · outbound
This paper cites Retrieving actions in movies.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Retrieving actions in movies
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.588828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0b25d990-ef0e-44c3-b91b-f7586e9a8437 · outbound
This paper cites iMOVE: Instance-Motion-Aware Video Understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding iMOVE: Instance-Motion-Aware Video Understanding
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.493518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 916126f3-5e6c-4fe1-b6c8-47c8909da601 · outbound
This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Mvbench: A comprehensive multi-modal video understanding benchmark
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.592471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 59801fb1-50fb-4317-8a32-1acef7e4adef · outbound
This paper cites VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:02:43.915683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cfa03b87-9845-4c98-a800-14a7f564b40f · outbound
This paper cites Improved Visual-Spatial Reasoning via R1-Zero-Like Training.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Improved Visual-Spatial Reasoning via R1-Zero-Like Training
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.550790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a6fe9708-c2a2-4120-aee6-de805018e3d4 · outbound
This paper cites Egocentric video-language pretraining.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Egocentric video-language pretraining
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.595983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5ead59bf-2a9d-41f1-a14d-1875523d9552 · outbound
This paper cites Univtg: Towards unified video-language temporal grounding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Univtg: Towards unified video-language temporal grounding
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.599563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2c8fb89d-1652-47a9-ad68-f5abce5fe348 · outbound
This paper cites TempCompass: Do Video LLMs Really Understand Videos?.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding TempCompass: Do Video LLMs Really Understand Videos?
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:46:17.144047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 229a11f8-6ec8-4c1e-877a-89efe0cfa7ca · outbound
This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Visual-RFT: Visual Reinforcement Fine-Tuning
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.569222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2121138f-f80c-4055-8ca4-e9f064f465f5 · outbound
This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Egoschema: A diagnostic benchmark for very long-form video language understanding
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.602907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 37a1727a-3f48-47d6-8f2d-c82e3bd5dbf2 · outbound
This paper cites Walk these ways: Tuning robot control for generalization with multiplicity of behavior.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Walk these ways: Tuning robot control for generalization with multiplicity of behavior
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.606458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eb2ce270-e81c-495b-b521-a160656a4591 · outbound
This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.512877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6ae26ceb-0ea6-4106-989c-ca8b99c7e736 · outbound
This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.610238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 855c0589-bc9e-4713-9a19-73979d0ec93c · outbound
This paper cites Snag: Scalable and accurate video grounding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Snag: Scalable and accurate video grounding
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.613081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8507b6bd-8911-47d2-94cb-bfacd6a2b27d · outbound
This paper cites Queryd: A video dataset with high-quality text and audio narrations.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Queryd: A video dataset with high-quality text and audio narrations
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.616428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 31298708-6ed3-4cf9-9d6e-ece7d411a55e · outbound
This paper cites Openai o1.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Openai o1
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.619036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1181f51-d28e-4a5e-a059-f36ff1822e89 · outbound
This paper cites Training language models to follow instructions with human feedback.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Training language models to follow instructions with human feedback
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.621670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f2a44993-321b-4f5b-82b5-965363200b0f · outbound
This paper cites Chatvtg: Video temporal grounding via chat with video dialogue large language models.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Chatvtg: Video temporal grounding via chat with video dialogue large language models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.624221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cc1a7ef4-e5f6-47b5-9a6a-5cab08db7920 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Learning transferable visual models from natural language supervision
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.626902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1247a069-af12-456f-a12e-87990e9d1861 · outbound
This paper cites Grounding action descriptions in videos.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Grounding action descriptions in videos
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.629529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c93386c5-7836-4f5d-a4e2-70c2854afbb8 · outbound
This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Timechat: A time-sensitive multimodal large language model for long video understanding
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.632096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 776c28a4-9841-49f9-b982-87d8e324bae8 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.517789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation be34329a-5ba4-4f07-8c99-23204cf7a19b · outbound
This paper cites Hollywood in homes: Crowdsourcing data collection for activity understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Hollywood in homes: Crowdsourcing data collection for activity understanding
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.635021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bec547c2-e15e-4994-9ade-b935f7dcc8b1 · outbound
This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.528100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7b00d6fe-61bc-4d53-a4ea-d4b73102bea5 · outbound
This paper cites Reason-rft: Reinforcement fine-tuning for visual reasoning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Reason-rft: Reinforcement fine-tuning for visual reasoning
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.533183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af0bf21b-6be7-4169-b4fe-d7b0c07e597d · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.538109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a6aba1f1-2c0c-449a-a5bc-5ba2a720944e · outbound
This paper cites Hawkeye: Training video-text llms for grounding text in videos.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Hawkeye: Training video-text llms for grounding text in videos
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.637627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a188824f-9424-494d-8c8c-37732a744538 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.640284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7afd85b1-2212-4dd9-962f-4510d4c0470a · outbound
This paper cites Number it: Temporal grounding videos like flipping manga.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Number it: Temporal grounding videos like flipping manga
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.642826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 47042016-d8ce-4724-81b4-50e670085c40 · outbound
This paper cites Vid2seq: Large-scale pretraining of a visual language model for dense video captioning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Vid2seq: Large-scale pretraining of a visual language model for dense video captioning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.645489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dcfcf2b1-ca8f-49cb-9773-83344c729dbb · outbound
This paper cites Vid2seq: Large-scale pretraining of a visual language model for dense video captioning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Vid2seq: Large-scale pretraining of a visual language model for dense video captioning
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.647930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4c540c59-2304-492d-9cf2-6de6259cbc06 · outbound
This paper cites Egolife: Towards egocentric life assistant.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Egolife: Towards egocentric life assistant
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.650286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 88fb637f-2325-443c-82ff-053f31c17ad3 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:40:06.501096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 71abcb1e-a5fb-48ea-9a87-c8f7c08a6df7 · outbound
This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.652696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 770d5252-9b0f-4a9e-a152-8dbe3e983746 · outbound
This paper cites A closer look at temporal sentence grounding in videos: Dataset and metric.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding A closer look at temporal sentence grounding in videos: Dataset and metric
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.655502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a30f710b-2cf7-4679-b3d3-eb390e898793 · outbound
This paper cites Hierarchical video-moment retrieval and step-captioning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Hierarchical video-moment retrieval and step-captioning
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.657989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cc3e341c-d304-41c2-a4cc-9a7d84a37ee4 · outbound
This paper cites Timesuite: Improving MLLMs for long video understanding via grounded tuning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Timesuite: Improving MLLMs for long video understanding via grounded tuning
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.660390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aeb2920f-7f7b-4e2c-b315-2eb2ca6f9ae9 · outbound
This paper cites Temporal sentence grounding in videos: A survey and future directions.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Temporal sentence grounding in videos: A survey and future directions
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.662592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3473930b-d8a9-4e1a-930d-9d2f910109a6 · outbound
This paper cites Multi-scale 2d temporal adjacency networks for moment localization with natural language.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Multi-scale 2d temporal adjacency networks for moment localization with natural language
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.665055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 214a3c37-a574-4ee9-bb33-fa83f116273e · outbound
This paper cites Learning 2d temporal adjacent networks for moment localization with natural language.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Learning 2d temporal adjacent networks for moment localization with natural language
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.667570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c6903ccf-ac39-4c50-b14e-b931bf6a40e2 · outbound
This paper cites TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.542292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d49be883-0dc4-4ac5-91cc-2ff3762cb4ee · outbound
This paper cites VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.546326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6ecea9b7-6894-4e80-94fe-aeae55a5af41 · outbound
This paper cites goes back to the pink bucket.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding goes back to the pink bucket
Reference 66
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-17T02:40:06.669897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 16676725-fb9c-4b0f-80c1-f5b102fc4186 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.672868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d3dec532-6633-4b06-a093-61664ada7bda · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.675761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2fda06f6-df62-4bed-9597-0fcfa4e3d564 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.678391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d3f4fd69-5c3c-49fa-afab-5d40bde1f321 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.680904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 50fe21c4-4fd3-49bb-bd5a-fc8cd43834d6 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.683328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 51f5e0d6-26d6-42a5-b103-e092533179f4 · outbound
This paper cites Given this analysis, the pineapple is indeed being pushed forward by a person.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Given this analysis, the pineapple is indeed being pushed forward by a person
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.685762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d51a9da3-bd7d-4d81-a399-ea01118c2b79 · outbound
This paper cites This is the first major action.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding This is the first major action
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.688251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5823636-cde7-441f-ba7d-ad0cd4062dc0 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.690563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1ff8aebe-eebf-4020-b0be-fa2116c3ae52 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.692989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c8772ad1-80f8-4ead-abaf-819868dd0505 · outbound
This paper cites Now, let's evaluate the options: (A) C folds the dress, places it on the ironing board, and then hangs it up.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Now, let's evaluate the options: (A) C folds the dress, places it on the ironing board, and then hangs it up
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.695767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0a1e88d2-239a-4441-b0ca-8298de99277a · outbound
This paper cites - Examples: - person opens a book over their head.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding - Examples: - person opens a book over their head
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.698397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43495fd6-4926-4859-bb8b-d2a7b69a253c · outbound
This paper cites - Examples: - He is talking while several people are using rowing machines.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding - Examples: - He is talking while several people are using rowing machines
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.700777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f0c8edbd-42ad-496d-bfd3-359c92b7a16a · outbound
This paper cites contains multiple actions, each with a clear start a nd end.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding contains multiple actions, each with a clear start a nd end
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.703203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 555dd73e-5504-4304-b496-108255165969 · outbound
This paper cites Posture descriptors, positional prepositions - Examples: - Several other people are in the background working out on the equipment.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Posture descriptors, positional prepositions - Examples: - Several other people are in the background working out on the equipment
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.705831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 673f6430-6d99-4bc7-9e00-dfb4238aa5e0 · outbound
This paper cites Simple location prepositions.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Simple location prepositions
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.708144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6f409486-3f7e-456f-b787-0e685e4f1111 · outbound
This paper cites after/before [action].
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding after/before [action]
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.710693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1148f522-c872-4dfa-8472-11532f8d8ef4 · outbound
This paper cites Property descriptors (color/size/material) - Examples: - what material did I pick from the shelf? - what color is the toilet bin?.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Property descriptors (color/size/material) - Examples: - what material did I pick from the shelf? - what color is the toilet bin?
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.713130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cf68276c-5f57-4f5b-bfc6-cee39bbe9229 · outbound
This paper cites Numeric quantifiers, plural objects - Examples: - how many tissue paper were on the floor? - how many rolls are in the tray.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Numeric quantifiers, plural objects - Examples: - how many tissue paper were on the floor? - how many rolls are in the tray
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.715764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4fd9afe7-62c0-419f-84c5-d4ed3374740c · outbound
This paper cites Transformation verbs, completion checks - Examples: - The bulb is broken apart.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Transformation verbs, completion checks - Examples: - The bulb is broken apart
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.718304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 46e892a4-f1b2-45a4-8c8c-707f0dff21c6 · outbound
This paper cites Transient elements, overlay content - Examples: - video ends with clothes/captions scrolling down.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Transient elements, overlay content - Examples: - video ends with clothes/captions scrolling down
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:40:06.721157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3e0f3466-77cb-472c-bf94-0ac28d781105 · outbound
This paper cites an unresolved cited work.
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Unresolved cited work
Reference 87
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:40:06.723947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 9df5ebc1-7b43-423b-8179-047756f94512 · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 294
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8470cac6-2907-4aee-90c7-e6e76052aa6a · inbound
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d6cae0dc-e243-4e0e-a681-2f9ff39a6224 · inbound
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:31:18.006760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e45504bb-270e-4351-b01d-cf44a4d26041 · inbound
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought cites this paper.
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:09:13.173718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4738e270-1e50-44f5-8425-a2d3eae29a93 · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T13:17:18.579232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 567138e8-a2ed-4853-a95f-46264c02480d · inbound
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? cites this paper.
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T05:40:56.053231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1befbf9-e216-4ae7-bb19-6a771e49d146 · inbound
VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking cites this paper.
VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:36.023507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12058bba-b8d3-4e0e-bbc5-eab30b9b953e · inbound
MiMo-VL Technical Report cites this paper.
MiMo-VL Technical Report Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:04:14.234976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6c5df9a-3d2a-4ad6-bcb9-dd537cb0aaaa · inbound
Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward cites this paper.
Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:41:50.420151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78530adf-24b4-4652-b6b5-b232e77c5410 · inbound
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations cites this paper.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:53.624919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db7d921-f0b6-4b81-9228-fda0ec850c77 · inbound
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.
Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:52:08.036603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 181b8286-f0e3-43cf-8069-371c4827b030 · inbound
Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning cites this paper.
Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:47:52.737642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb440322-a61d-4a06-8915-060afcbbc754 · inbound
Advancing Visual Large Language Model for Multi-granular Versatile Perception cites this paper.
Advancing Visual Large Language Model for Multi-granular Versatile Perception Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:25:03.137410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67e962c9-f402-42cc-accd-73d4f0f5d21b · inbound
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning cites this paper.
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:44:28.039862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9add315c-0754-41b9-ba02-1dd5eb712c19 · inbound
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection cites this paper.
Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:03:33.307499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa93c31f-f6eb-454e-9388-ac956e1afd3f · inbound
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding cites this paper.
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:54:32.447112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aeda5a9-ec24-4ea2-bb08-123d214dacf4 · inbound
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding cites this paper.
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:01:26.003333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7b55908-738b-43e8-aa27-bbc80aecf7be · inbound
A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.
A Survey on Video Temporal Grounding with Multimodal Large Language Model Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 125
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:32:18.032059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c68a39ef-5cef-4f18-a352-8e87bf843846 · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 288
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:11.193788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 092dee13-de5c-4c06-89c5-20e794ea9026 · inbound
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding cites this paper.
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:23:07.108809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f14d52f-3aa6-4dab-b8e7-339eb77843a5 · inbound
VIDEOP2R: Video Understanding from Perception to Reasoning cites this paper.
VIDEOP2R: Video Understanding from Perception to Reasoning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:25:22.540751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 43b4d501-e9a5-4dd1-b1f0-1aa7af507935 · inbound
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding cites this paper.
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:20:22.937278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e0cb23fb-6be2-490f-aad7-b67241350fb9 · inbound
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.
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 2026-08-12T06:34:41.77262+00:00.
Observation 9b187b0f-a38d-45a9-a9db-c82b763254f3 · inbound
OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.
OneThinker: All-in-one Reasoning Model for Image and Video Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fb327704-a237-408e-84ee-7a14cf52e717 · inbound
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 092753b1-aab3-4aee-806c-3130dd836dc9 · inbound
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding cites this paper.
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:22:31.236016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3eb714c-6453-48d2-84e9-d25fe74e9893 · inbound
AdaTooler-V: Adaptive Tool-Use for Images and Videos cites this paper.
AdaTooler-V: Adaptive Tool-Use for Images and Videos Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6bc99a11-4a63-499f-ab31-df0d8b8969e7 · inbound
CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning cites this paper.
CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4495bbd2-de89-44cc-a83e-b0b39d756171 · inbound
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking cites this paper.
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b1878c71-7d1b-42b3-a3cf-d3016bbb1f29 · inbound
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation cites this paper.
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T00:15:23.806078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d177492b-4fd6-4df0-9a25-d1f3229a1487 · inbound
STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering cites this paper.
STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 556f6a39-46e1-4030-bf4d-23a5f96c1067 · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e8ebaf9-3410-4ae5-bd62-0a945189ece1 · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T22:04:31.302192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f3062b4-9aed-4595-859c-7a7a414ca15e · inbound
Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Prompt cites this paper.
Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Prompt Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d80fae7a-6546-44ee-8e6a-ea9528528f23 · inbound
APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track cites this paper.
APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 87db41aa-b680-4d07-b2e5-55283a5d870f · inbound
Video-ToC: Video Tree-of-Cue Reasoning cites this paper.
Video-ToC: Video Tree-of-Cue Reasoning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3dc60eae-4c0e-466a-8773-d25ec3fb2e34 · inbound
Towards Temporal Compositional Reasoning in Long-Form Sports Videos cites this paper.
Towards Temporal Compositional Reasoning in Long-Form Sports Videos Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e5200291-cb6f-42a9-b04c-0cc105e58cb3 · inbound
Towards Temporal Compositional Reasoning in Long-Form Sports Videos cites this paper.
Towards Temporal Compositional Reasoning in Long-Form Sports Videos Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 34
- 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 d5ed8ec9-9d40-43d4-a267-4c05d366684a · inbound
AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method cites this paper.
AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 24bee16c-f63c-4f5a-8081-e71523b2584f · inbound
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding cites this paper.
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9cf10bfe-4981-4ecf-9d99-11d5955202f0 · inbound
Co-Evolving Policy Distillation cites this paper.
Co-Evolving Policy Distillation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0e3d2f1d-0933-43a4-ae2d-945ea35d1fa3 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation df3f111c-e38b-4cf7-9430-3a8e53b84360 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ba62a7b2-e7d0-4945-ae60-f46f4bbe7630 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4a13e00c-9ba8-46ef-b63d-ffc85dda9839 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:10:23.838149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4faa07dd-96e9-45f5-943b-e21ef325d1f5 · inbound
RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation cites this paper.
RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eb64bcdd-6264-4ce8-85f0-d4df3dd37934 · inbound
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:40:06.763282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ceac38a-888f-45e7-b5ec-08545880b531 · inbound
Video-Zero: Self-Evolution Video Understanding cites this paper.
Video-Zero: Self-Evolution Video Understanding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:35:04.398647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 87698de1-9b46-4c55-aa86-242a60097b5f · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T19:38:56.133728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c317675e-1d6a-495e-a30b-121de9680c68 · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T07:34:02.631324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e7c0e7d3-1838-4170-b85c-c3ce2f1d2511 · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T09:01:19.294041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 35d05aec-0652-4be4-b667-3eb96cb60d69 · inbound
EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models cites this paper.
EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:21:12.922592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c6773e2-b13a-4afd-86f4-be124fc01250 · inbound
MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues cites this paper.
MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:14:42.423672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e89650d7-ca77-497b-858f-285831a96273 · inbound
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering cites this paper.
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:55:23.205843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 598c87d5-05b6-469c-bbe2-d13a9179001c · inbound
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering cites this paper.
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:49:17.488864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9b9223fb-c6e2-4540-b335-32e90639ff5b · inbound
Towards One-to-Many Temporal Grounding cites this paper.
Towards One-to-Many Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T12:16:57.661656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cf68d152-da0c-4486-9e6e-bc9893b58257 · inbound
Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.
Watch, Remember, Reason: Human-View Video Understanding with MLLMs Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T17:27:15.836506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b1e67d90-a1a5-45cd-a365-3bf83f3ce2d4 · inbound
NEST: Narrative Event Structures in Time for Long Video Understanding cites this paper.
NEST: Narrative Event Structures in Time for Long Video Understanding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:29:31.224782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 94b3e95d-b8e4-46ef-ad21-ef862a41684a · inbound
VideoLatent: Video-Language Learning via Latent Self-Forcing cites this paper.
VideoLatent: Video-Language Learning via Latent Self-Forcing Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 80
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T09:49:44.697249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e7841c4-0434-4cea-b3ac-ea001b0d250f · inbound
DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding cites this paper.
DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T14:37:03.232673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3ebdf02f-ac69-48be-bd01-caf85a2ca558 · inbound
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning cites this paper.
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:48:27.255331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 983ab6fb-dc9e-4efa-8b06-00dce13acfc7 · inbound
TimeThink: Reasoning with Time for Video LLMs cites this paper.
TimeThink: Reasoning with Time for Video LLMs Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:59:46.244502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4169a6b-2f5d-4b69-910a-9db16aedc76f · 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 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:09:45.070624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0841f998-78fb-4532-98b2-2e9a50486d46 · inbound
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs cites this paper.
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:04:16.679249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40c6cb9f-a569-4123-b64e-02ba7a841a4d · inbound
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding cites this paper.
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:32:54.162233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf7d5b55-0444-40c4-aacb-a628a9681f73 · inbound
AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward cites this paper.
AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:13:44.215349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c7eacd8-50a3-4af6-b457-574f29e6d56f · inbound
I Seek You in Videos: Identity-Conditioned Queries for Person-Centric Video Reasoning cites this paper.
I Seek You in Videos: Identity-Conditioned Queries for Person-Centric Video Reasoning Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:59:13.736545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.