Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2409.12961.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:47:39.207697Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:09:50.847114Z
Reference resolution
0 of 0 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e0925f8d-efec-4110-8251-c6b1daa0f532 · inbound
NVILA: Efficient Frontier Visual Language Models cites this paper.
NVILA: Efficient Frontier Visual Language Models Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 63
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0f969e2-d8f5-486e-bdf4-ec96e7c62893 · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 160
- Resolution
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- arxiv_id, observed 2026-05-10T13:23:57.747383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 25818a3a-9cf6-4172-babf-0805141c6282 · inbound
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models cites this paper.
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96ae2de7-6e16-41b4-8353-9851ffc6d606 · inbound
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 45
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c2840ee-d5b0-4714-8645-3ddf4a95a080 · inbound
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d28cb45-166f-4728-9025-ba01d2f44225 · inbound
Ola: Pushing the Frontiers of Omni-Modal Language Model cites this paper.
Ola: Pushing the Frontiers of Omni-Modal Language Model Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78546f28-51b5-41e9-b238-f48203b0cc7f · inbound
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 78
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c77b11ea-bf67-4cfe-b28a-8fe3ed3e4a48 · inbound
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction cites this paper.
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7356ba04-1818-41c7-a294-66f14449f1a2 · inbound
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation cites this paper.
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d95c883-b5b7-4803-9ca9-0b08cdbbd3b0 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:34:36.933917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdd27281-da2f-4e45-85c9-51cdef6f0107 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T01:00:51.255586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76f94cf2-f665-450c-bbba-a82b44d337a1 · inbound
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding cites this paper.
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 899732fe-3962-44d9-9f9a-12075b47872f · inbound
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs cites this paper.
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 521945c6-9181-4c18-bd95-6359df42064c · inbound
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos cites this paper.
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ebd11f4-cb7d-4fc7-9870-6582a89258f8 · inbound
How Important are Videos for Training Video LLMs? cites this paper.
How Important are Videos for Training Video LLMs? Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2c93c76-ca12-46eb-8d29-e800355ccd76 · inbound
Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs cites this paper.
Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 95
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98ea8d80-91eb-45a2-b744-d3f1e36301d0 · inbound
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04efda21-51c5-4fd5-9208-784a884467c3 · inbound
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs cites this paper.
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a7864cc-bbaa-41c0-bd7b-dca40e139fa4 · inbound
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams cites this paper.
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 478d1767-13d5-4ab3-886f-a740cdfadc8e · inbound
Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis cites this paper.
Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5616df8-bba1-4eb2-a19e-34372d632036 · inbound
High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning cites this paper.
High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28d07efb-3f67-463c-a1ed-a519d52b2c8c · inbound
HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation cites this paper.
HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef22287e-6b45-409f-83b5-5da365626f32 · inbound
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding cites this paper.
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b95fbbae-b9c3-43f3-8cf9-7f2c29168dbd · inbound
Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.
Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 62
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88aa53dc-00ca-49c3-b000-fd682ddfb9e3 · inbound
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes cites this paper.
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 93
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 658ce853-647e-4c11-9558-ed2cef15393e · inbound
Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark cites this paper.
Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 2024
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 782a660f-92ca-44c3-bae5-d9aa665a2db4 · inbound
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 74
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8291684d-8999-4361-96c2-dda099eae3b5 · inbound
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79b3cbe0-4f3b-4d46-b8a0-4f9896202924 · inbound
Vision-Language Memory for Spatial Reasoning cites this paper.
Vision-Language Memory for Spatial Reasoning Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 470f744a-a41c-44e2-9102-190dfa7b92dd · inbound
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding cites this paper.
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 011af0e0-4d45-4789-8742-668caa3108ca · inbound
Streaming Video Instruction Tuning cites this paper.
Streaming Video Instruction Tuning Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30140cd9-f595-41b2-a384-a90470bebc5a · inbound
Social Caption: Evaluating Social Understanding in Multimodal Models cites this paper.
Social Caption: Evaluating Social Understanding in Multimodal Models Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 2018
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a45b1f45-aa83-4b36-b733-fce8c1a1d963 · inbound
LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding cites this paper.
LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 147c87bf-0038-4bb9-9f12-5d276f99f031 · inbound
Stateful Token Reduction for Long-Video Hybrid VLMs cites this paper.
Stateful Token Reduction for Long-Video Hybrid VLMs Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d74697c3-69bb-4ccf-9ece-b3f48fee6c83 · inbound
3D-IDE: 3D Implicit Depth Emergent cites this paper.
3D-IDE: 3D Implicit Depth Emergent Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6df034c9-fb8f-4325-b306-44d5a82d595b · inbound
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding cites this paper.
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b37bb7d-5986-47b8-b93e-0126796083d6 · inbound
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding cites this paper.
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 38
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b90458eb-4969-41dc-b8a5-c7ce70b27228 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 27
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 343d0087-eb2b-4d90-97ed-fb4a66216af0 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 27
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06b676f5-4ff0-45b7-925e-51e09e45b1d5 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:11:28.052362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c7e94571-41a5-4ef3-9a69-a6b7ab33be83 · inbound
VISD: Enhancing Video Reasoning via Structured Self-Distillation cites this paper.
VISD: Enhancing Video Reasoning via Structured Self-Distillation Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:10:24.064572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 45513e9d-92f6-4ba8-bc30-ada40750a6a2 · inbound
See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding cites this paper.
See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:13:16.244738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8e43fe16-f2a6-4541-ad1d-63cb1e5b1499 · inbound
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly cites this paper.
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:20.651921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf5a937f-eaf8-4524-924f-2ebead1d02e1 · inbound
Toward Native Multimodal Modeling: A Roadmap cites this paper.
Toward Native Multimodal Modeling: A Roadmap Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 211
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:04:01.738324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9fc1f3ba-b6a6-45d6-87c6-c59c5d4c378d · inbound
LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence cites this paper.
LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:13:59.596700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 687ae146-f056-42c1-bd57-d3b9df6a016b · inbound
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding cites this paper.
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:07:12.842034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 89a1a066-f3e4-47fc-9d6e-9f3370537c85 · inbound
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams cites this paper.
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:38:56.170346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d7608799-4708-4045-b623-9ca07ce51d91 · inbound
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution cites this paper.
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:09:50.849452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1fa8c5de-9e72-4954-ac08-d538123a1901 · inbound
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution cites this paper.
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:35:39.749751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation acfb088c-807c-40ce-a2ea-8892e3ff6b96 · inbound
Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding cites this paper.
Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:42:35.233288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.