Paper Citation Record · LEDGER

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.17436.

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

pith.paper-citation-record.v1
2507.17436 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:39:31.501650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:40:50.031968Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7df4381d-99c1-4a5d-9485-d1ac58bdbba9 · outbound

This paper cites Qwen Technical Report.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Qwen Technical Report

Reference 1

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Observation 4d4d7b6c-2b3e-477c-8be2-787ac099bd62 · outbound

This paper cites Vlmo: Unified vision-language pre-training with mixture-of-modality-experts.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Vlmo: Unified vision-language pre-training with mixture-of-modality-experts

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.169276Z

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Observation e25a6566-03fe-448e-b96e-1a18c33656c3 · outbound

This paper cites LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 3

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Observation e36a1b5d-d25d-40ed-b23c-ae682575abb3 · outbound

This paper cites Lifelong language pretraining with distribution-specialized experts.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Lifelong language pretraining with distribution-specialized experts

Reference 4

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Observation 28b84180-41ef-4f5a-bbec-dc09afe1ad55 · outbound

This paper cites Yolo-world: Real-time open- vocabulary object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Yolo-world: Real-time open- vocabulary object detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.138012Z

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Observation f1203092-a189-4399-99e7-2488c65792d7 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 6

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Observation c3c37083-d75a-4171-8af8-176081bfa8de · outbound

This paper cites Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

Reference 7

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Observation 48d7a8a8-2ab9-482f-a025-c54ee3370325 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.121824Z

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Observation b96378a5-0661-41fe-aa0e-e5076c7346d6 · outbound

This paper cites Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 9

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Observation af2d7dd2-2bbf-49a8-a927-4c03daf2c9c1 · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Open-vocabulary object detection via vision and language knowledge distillation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.102741Z

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Observation 26586984-e887-4ee9-af07-c473545202d3 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Lvis: A dataset for large vocabulary instance segmentation

Reference 11

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Observation 32edba44-e5f0-46aa-b0dd-3798ac232b95 · outbound

This paper cites DEMix Layers: Disentangling Domains for Modular Language Modeling.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection DEMix Layers: Disentangling Domains for Modular Language Modeling

Reference 12

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Observation d8ce2b14-90c4-4bf7-b45b-32793e4ad0f1 · outbound

This paper cites Feedback-aware anomaly detection through logs for large- scale software systems.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Feedback-aware anomaly detection through logs for large- scale software systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.073916Z

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Observation 640741d1-1528-41d1-bfb0-caeaa350da72 · outbound

This paper cites Dynamic neural networks: A sur- vey.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Dynamic neural networks: A sur- vey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.059179Z

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Observation 266247e4-69e6-4346-a16b-3e2a1ffdb07f · outbound

This paper cites T-rex2: Towards generic object detec- tion via text-visual prompt synergy.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection T-rex2: Towards generic object detec- tion via text-visual prompt synergy

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.041660Z

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Observation 297def85-5885-496a-9b9f-6b24cd78688e · outbound

This paper cites Mdetr - mod- ulated detection for end-to-end multi-modal understanding.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Mdetr - mod- ulated detection for end-to-end multi-modal understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:38.026088Z

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Observation 2caf82c8-fc80-4f83-ad6b-a413dd69c8bf · outbound

This paper cites Mdetr - mod- ulated detection for end-to-end multi-modal understanding.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Mdetr - mod- ulated detection for end-to-end multi-modal understanding

Reference 17

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This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 18

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This paper cites Grounded language-image pre-training.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Grounded language-image pre-training

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.996512Z

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Observation a835e0d3-0fb1-499f-8867-7015d721517d · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning

Reference 20

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Observation 1b6410e2-4f8b-4f00-98d0-479898add77d · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 21

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Observation 04fc6903-af4c-472c-b189-9d688165b95c · outbound

This paper cites Microsoft coco: Common objects in context.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Microsoft coco: Common objects in context

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.966694Z

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Observation b043ac7e-e272-4dd3-93fc-16ae6180a83c · outbound

This paper cites YOLO-UniOW: Efficient Universal Open-World Object Detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection YOLO-UniOW: Efficient Universal Open-World Object Detection

Reference 23

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Observation 521407ba-220d-4585-990b-8bdc57f7ed5c · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.951086Z

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Observation 2a0a57ed-fbd7-4832-be9d-ff84692a5a74 · outbound

This paper cites Scene visual per- ception and ar navigation applications.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Scene visual per- ception and ar navigation applications

Reference 25

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This paper cites Simple open-vocabulary object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Simple open-vocabulary object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.916694Z

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Observation 777364bb-c244-40b4-b89f-5b66cd48167f · outbound

This paper cites Scaling open-vocabulary object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Scaling open-vocabulary object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.900496Z

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Observation d8e7bf15-2f11-4e7b-b2d2-5489f3ee2be3 · outbound

This paper cites Plummer, Liwei Wang, Chris M.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Plummer, Liwei Wang, Chris M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.882529Z

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This paper cites Yolo9000: Better, faster, stronger.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Yolo9000: Better, faster, stronger

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.863018Z

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Observation f38e580a-7827-4ab0-aa5c-768745acc58b · outbound

This paper cites YOLOv3: An Incremental Improvement.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection YOLOv3: An Incremental Improvement

Reference 30

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Observation bf0c731f-ddb9-46e3-b18c-5e9f5390d15a · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection You only look once: Unified, real-time object de- tection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.845248Z

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Observation 28ef29e4-6e40-4a9f-b279-4fffc66ea3c1 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.826268Z

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Observation 6de1bc31-4565-485c-a491-0c339a61ea8c · outbound

This paper cites DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding

Reference 33

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This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 34

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This paper cites Objects365: A large-scale, high-quality dataset for object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.807056Z

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Observation fc4fb1a8-9a97-4bfc-8de7-50711b2ea03c · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 36

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This paper cites Scaling Vision-Language Models with Sparse Mixture of Experts.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Scaling Vision-Language Models with Sparse Mixture of Experts

Reference 37

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This paper cites Convolutional networks with adaptive inference graphs.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Convolutional networks with adaptive inference graphs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.792348Z

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Observation 3c103f31-abab-4046-87af-cd0535adf008 · outbound

This paper cites Sp-net: slowly progress- ing dynamic inference networks.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Sp-net: slowly progress- ing dynamic inference networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.777232Z

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Observation 11e6a2d6-7d3d-4387-8737-21f65eda7f78 · outbound

This paper cites OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

Reference 40

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This paper cites V3det: Vast vocabulary visual detection dataset.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection V3det: Vast vocabulary visual detection dataset

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.758581Z

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Observation a6b5603f-81d6-4edc-b2cb-4eabba3dfe64 · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision- language tasks.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Image as a foreign language: Beit pretraining for vision and vision- language tasks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.741793Z

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Observation 66ae7a96-7531-4d35-98fc-d6d6a594827b · outbound

This paper cites Skipnet: Learning dynamic routing in convolutional networks.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Skipnet: Learning dynamic routing in convolutional networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.725516Z

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Observation 3fc46f98-b7ff-401d-8ee9-e272e2f824ee · outbound

This paper cites OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:54:37.042224Z

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Observation d9adcd8b-81d4-4b6d-8860-f899fc87b365 · outbound

This paper cites Detecting ev- erything in the open world: Towards universal object detec- tion.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Detecting ev- erything in the open world: Towards universal object detec- tion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.708769Z

Source-reported events for the cited work

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Observation 67dc3e75-12f5-4522-8a39-a2b3c414b00f · outbound

This paper cites Solving token gradient conflict in mixture-of-experts for large vision-language model.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Solving token gradient conflict in mixture-of-experts for large vision-language model

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.689986Z

Source-reported events for the cited work

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Observation 2fccecdb-5760-4d17-809b-42d69904f878 · outbound

This paper cites Detclip: Dictionary-enriched visual-concept paralleled pre- training for open-world detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Detclip: Dictionary-enriched visual-concept paralleled pre- training for open-world detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.673990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2178b6e5-3ba0-4489-9092-f6928549d7e3 · outbound

This paper cites Detclipv2: Scal- able open-vocabulary object detection pre-training via word- region alignment.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Detclipv2: Scal- able open-vocabulary object detection pre-training via word- region alignment

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.655745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31e1d574-ad86-42b3-8abd-9f46eb324880 · outbound

This paper cites Detclipv3: To- wards versatile generative open-vocabulary object detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Detclipv3: To- wards versatile generative open-vocabulary object detection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.638775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 445871b1-15be-437f-bbd5-b0de87ea56bb · outbound

This paper cites Open-vocabulary object detection using captions.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Open-vocabulary object detection using captions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.593432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af945e0c-3d61-4174-a549-e2a95341a957 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:36.861308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d017e1-d366-4b3d-ba77-2c261317e615 · outbound

This paper cites A simple framework for open-vocabulary segmentation and detection.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection A simple framework for open-vocabulary segmentation and detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:37.521470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3284b77e-4e6b-4c96-9279-5610508bfeb2 · outbound

This paper cites Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:36.900809Z

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Unavailable: canonical work link unavailable.

Observation dcc154e4-2faf-4a4c-8172-74cb2d163b8d · outbound

This paper cites Parameters.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Parameters

Reference 640

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T14:54:37.450475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation f2cfb7a5-a17e-4e4b-a3d8-91268ebf8c04 · inbound

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection cites this paper.

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:50.036902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.