Paper Citation Record · LEDGER

MR-GDINO: Efficient Open-World Continual Object Detection

As of 17 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2412.15979.

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

pith.paper-citation-record.v1
2412.15979 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:59:45.683306Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:33:06.701427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:33:14.622898Z

Reference resolution

68 of 68 outbound references displayed

verified exact3
verified fuzzy49
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4837495-9d9c-43c2-ab62-69ecdf3ec60c · outbound

This paper cites Human memory: Theory and practice.

MR-GDINO: Efficient Open-World Continual Object Detection Human memory: Theory and practice

Reference 1

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Observation 4cf486fa-3a27-4449-a73a-c49618f14c8f · outbound

This paper cites Zero-shot object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Zero-shot object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.957032Z

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Observation 0322d386-eb5f-45e7-b1ec-f608953dbe2c · outbound

This paper cites Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts.

MR-GDINO: Efficient Open-World Continual Object Detection Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts

Reference 3

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Observation 6b1bf74f-df0d-4ef2-9be1-8373bd6c8303 · outbound

This paper cites Chen, Chunyan Yu, and Lvcai Chen.

MR-GDINO: Efficient Open-World Continual Object Detection Chen, Chunyan Yu, and Lvcai Chen

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.927335Z

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Observation 6f86e9cc-5858-4154-873a-24e1b58d1bbb · outbound

This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.

MR-GDINO: Efficient Open-World Continual Object Detection SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 5

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Source-reported events for the cited work

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Observation 1baacda6-1253-4a7a-aec9-cce2341ed534 · outbound

This paper cites Working memory capacity.

MR-GDINO: Efficient Open-World Continual Object Detection Working memory capacity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.907350Z

Source-reported events for the cited work

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Observation 75169f32-e4bb-45da-9e4d-d40b4e33c891 · outbound

This paper cites Class incremental robotic pick-and- place via incremental few-shot object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Class incremental robotic pick-and- place via incremental few-shot object detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.889982Z

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Observation d95079ea-dcd5-4849-8d75-df56013c61ae · outbound

This paper cites Zero-shot generalizable incremental learning for vision-language object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Zero-shot generalizable incremental learning for vision-language object detection

Reference 8

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Observation a544e556-d8a9-498b-812f-46470058697a · outbound

This paper cites Lpt: Long-tailed prompt tuning for image classifica- tion.

MR-GDINO: Efficient Open-World Continual Object Detection Lpt: Long-tailed prompt tuning for image classifica- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.852128Z

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Observation 961f1328-33d9-486f-becc-d001cbcd9129 · outbound

This paper cites ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer.

MR-GDINO: Efficient Open-World Continual Object Detection ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer

Reference 10

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Observation b73d2933-6cf2-42a6-905d-f3979f021b96 · outbound

This paper cites LPT++: Efficient Training on Mixture of Long-tailed Experts.

MR-GDINO: Efficient Open-World Continual Object Detection LPT++: Efficient Training on Mixture of Long-tailed Experts

Reference 11

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Observation 2b4d699f-db49-4563-b7a0-5a8be6a905c1 · outbound

This paper cites Incremental-detr: Incremental few-shot object detection via self-supervised learning.

MR-GDINO: Efficient Open-World Continual Object Detection Incremental-detr: Incremental few-shot object detection via self-supervised learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.803906Z

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Observation 5a5c5569-7d1d-4046-b4f2-a9f1cadb16b0 · outbound

This paper cites Coarse-to-fine vision-language pre-training with fusion in the backbone.

MR-GDINO: Efficient Open-World Continual Object Detection Coarse-to-fine vision-language pre-training with fusion in the backbone

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.767491Z

Source-reported events for the cited work

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Observation 5e562130-f0c1-4ec6-803a-6cd9c72a568c · outbound

This paper cites Overcoming catastrophic forgetting in incremental object detection via elastic response distillation.

MR-GDINO: Efficient Open-World Continual Object Detection Overcoming catastrophic forgetting in incremental object detection via elastic response distillation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.750855Z

Source-reported events for the cited work

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Observation d0229787-70e7-4ae6-ad04-9c46d9a41936 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

MR-GDINO: Efficient Open-World Continual Object Detection Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 15

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Observation 0a8dd3d2-7559-49f5-81ee-42c5e00ca51a · outbound

This paper cites Online continual learning through mutual information maximization.

MR-GDINO: Efficient Open-World Continual Object Detection Online continual learning through mutual information maximization

Reference 16

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Observation 39596821-306f-4b84-8e0f-30578fc4751b · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection Lvis: A dataset for large vocabulary instance segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.717143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec4f2a11-46a5-40d7-b1f9-56fb99d28558 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

MR-GDINO: Efficient Open-World Continual Object Detection Towards a unified view of parameter-efficient transfer learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.699422Z

Source-reported events for the cited work

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Observation 3f67b636-07b6-4298-9de0-91fc44b974d7 · outbound

This paper cites Learning non-maximum suppression.

MR-GDINO: Efficient Open-World Continual Object Detection Learning non-maximum suppression

Reference 19

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Observation 14d038d4-b590-4cff-980f-d99f827ae369 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

MR-GDINO: Efficient Open-World Continual Object Detection Parameter-efficient transfer learning for NLP

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.670932Z

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Observation cb15dd3b-dc28-4c19-bf45-7345e031e26f · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

MR-GDINO: Efficient Open-World Continual Object Detection LoRA: Low-rank adaptation of large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.653609Z

Source-reported events for the cited work

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Observation 9a9f383e-f38d-4ffc-8ec5-9a9b242a4971 · outbound

This paper cites Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.

MR-GDINO: Efficient Open-World Continual Object Detection Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning

Reference 22

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Observation 67e8fcc4-116c-4cbe-8a53-845bd28459c7 · outbound

This paper cites Class balance matters to active class- incremental learning.

MR-GDINO: Efficient Open-World Continual Object Detection Class balance matters to active class- incremental learning

Reference 23

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Observation ce2bcde7-d97b-47e6-99c6-0889a00fd1c7 · outbound

This paper cites Vi- sual prompt tuning.

MR-GDINO: Efficient Open-World Continual Object Detection Vi- sual prompt tuning

Reference 24

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Source-reported events for the cited work

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Observation a0c15c17-ca8a-4281-a35c-09dabcecd5a2 · outbound

This paper cites Mdetr- modulated detection for end-to-end multi-modal understand- ing.

MR-GDINO: Efficient Open-World Continual Object Detection Mdetr- modulated detection for end-to-end multi-modal understand- ing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.592763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c6b2829-3242-47e9-8d6e-b1715cf59b57 · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

MR-GDINO: Efficient Open-World Continual Object Detection Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.574397Z

Source-reported events for the cited work

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Observation e76a25e5-9c58-4b8a-8a2c-214a1c94f5e4 · outbound

This paper cites On the relationship between classical grid search and probabilistic roadmaps.

MR-GDINO: Efficient Open-World Continual Object Detection On the relationship between classical grid search and probabilistic roadmaps

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.555958Z

Source-reported events for the cited work

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Observation f94facbd-68e3-4969-8c9e-19c490f15b5c · outbound

This paper cites Semantic-SAM: Segment and Recognize Anything at Any Granularity.

MR-GDINO: Efficient Open-World Continual Object Detection Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 28

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Observation 1dbbf7b6-34ad-4cc1-ad7c-ed9e3ea34ee4 · outbound

This paper cites Grounded language-image pre-training.

MR-GDINO: Efficient Open-World Continual Object Detection Grounded language-image pre-training

Reference 29

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Observation efd19ce4-a052-47b5-845e-eb854f1cee43 · outbound

This paper cites Open world object detection: A survey.

MR-GDINO: Efficient Open-World Continual Object Detection Open world object detection: A survey

Reference 30

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Observation 71e5d966-2553-46de-8148-63b276cbbbc9 · outbound

This paper cites Learning without forgetting.

MR-GDINO: Efficient Open-World Continual Object Detection Learning without forgetting

Reference 31

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Observation c323ebf2-99a9-4633-b9a4-c330157bf9cc · outbound

This paper cites Microsoft coco: Common objects in context.

MR-GDINO: Efficient Open-World Continual Object Detection Microsoft coco: Common objects in context

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.484095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88b523f5-383e-41b8-9217-ad8173d4c5ab · outbound

This paper cites Focal loss for dense object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Focal loss for dense object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.463925Z

Source-reported events for the cited work

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Observation 413561ee-d6b2-472e-b716-2838192a17f4 · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.446893Z

Source-reported events for the cited work

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Observation ebffc104-0227-412d-b827-0dec35921b3a · outbound

This paper cites Continual detection transformer for incremen- tal object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Continual detection transformer for incremen- tal object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.427793Z

Source-reported events for the cited work

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Observation d3f8399b-393b-4e6b-822d-a01951641a12 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MR-GDINO: Efficient Open-World Continual Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32e5498c-0070-45fd-af35-840458df25eb · outbound

This paper cites SGDR: Stochastic gradi- ent descent with warm restarts.

MR-GDINO: Efficient Open-World Continual Object Detection SGDR: Stochastic gradi- ent descent with warm restarts

Reference 37

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Source-reported events for the cited work

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Observation 2628af5d-4a25-44ef-a5af-31a564a92d69 · outbound

This paper cites Decoupled weight de- cay regularization.

MR-GDINO: Efficient Open-World Continual Object Detection Decoupled weight de- cay regularization

Reference 38

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Observation 93f78490-a580-4d62-a87c-ff73c692eef4 · outbound

This paper cites Segment anything in medical images.

MR-GDINO: Efficient Open-World Continual Object Detection Segment anything in medical images

Reference 39

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Observation d1589ecb-df5b-45a6-93a5-95d6ab3d0127 · outbound

This paper cites Open- vocabulary one-stage detection with hierarchical visual- language knowledge distillation.

MR-GDINO: Efficient Open-World Continual Object Detection Open- vocabulary one-stage detection with hierarchical visual- language knowledge distillation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.344674Z

Source-reported events for the cited work

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Observation 27cafa5a-1149-4d90-a506-b9b5b7cdd696 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

MR-GDINO: Efficient Open-World Continual Object Detection Learn- ing transferable visual models from natural language super- vision

Reference 41

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Observation b7a68b8c-bd65-496b-b318-24dc6b04fe50 · outbound

This paper cites icarl: Incremental classifier and representation learning.

MR-GDINO: Efficient Open-World Continual Object Detection icarl: Incremental classifier and representation learning

Reference 42

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Observation ad14a16d-1e40-4b5e-92a8-a6235a9ac2f9 · outbound

This paper cites Generalized in- tersection over union.

MR-GDINO: Efficient Open-World Continual Object Detection Generalized in- tersection over union

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.302224Z

Source-reported events for the cited work

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Observation 542c65aa-d13c-4d38-9c46-dbeb03b4b402 · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.285318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fbd5b26-7c53-46e8-815f-52a86c010b4f · outbound

This paper cites Incremental learning of object detectors without catas- trophic forgetting.

MR-GDINO: Efficient Open-World Continual Object Detection Incremental learning of object detectors without catas- trophic forgetting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.268323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70341ffa-5394-4fad-8862-b0d95ce36535 · outbound

This paper cites Non-exemplar domain incremental object detection via learning domain bias.

MR-GDINO: Efficient Open-World Continual Object Detection Non-exemplar domain incremental object detection via learning domain bias

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.251422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad8b8b23-25b2-4ab0-a292-2eb3db43ea0e · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

MR-GDINO: Efficient Open-World Continual Object Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 47

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Observation 2ebdb536-e7a7-4cd9-8be5-7e471ddd5f69 · outbound

This paper cites Attention is all you need.

MR-GDINO: Efficient Open-World Continual Object Detection Attention is all you need

Reference 48

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Source-reported events for the cited work

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Observation 081aaa9a-0880-4de3-8c1a-2dbd7dcc102a · outbound

This paper cites Clad: A realistic continual learning benchmark for autonomous driving.

MR-GDINO: Efficient Open-World Continual Object Detection Clad: A realistic continual learning benchmark for autonomous driving

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.221813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c1850f4-252e-49bd-a930-860bfc303599 · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

Reference 50

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Source-reported events for the cited work

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Observation 8f2e653e-c165-4ec9-819f-543b8824f785 · outbound

This paper cites Wanderlust: Online continual object detection in the real world.

MR-GDINO: Efficient Open-World Continual Object Detection Wanderlust: Online continual object detection in the real world

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.194321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b45bb66-4e68-4de1-85d2-880f40be57a4 · outbound

This paper cites V3det: Vast vocabulary visual detection dataset.

MR-GDINO: Efficient Open-World Continual Object Detection V3det: Vast vocabulary visual detection dataset

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.168787Z

Source-reported events for the cited work

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Observation 58259c8e-ac96-4223-bb62-124f736a9a80 · outbound

This paper cites Frustratingly simple few-shot object de- tection.

MR-GDINO: Efficient Open-World Continual Object Detection Frustratingly simple few-shot object de- tection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.149678Z

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Observation 87feaa5c-4721-4ce3-8d6f-7426129522f2 · outbound

This paper cites Hierar- chical open-vocabulary universal image segmentation.

MR-GDINO: Efficient Open-World Continual Object Detection Hierar- chical open-vocabulary universal image segmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.129858Z

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Observation 10761774-7a96-4ba0-8262-34245651dd9e · outbound

This paper cites Learning to prompt for continual learning.

MR-GDINO: Efficient Open-World Continual Object Detection Learning to prompt for continual learning

Reference 55

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Observation 201e4e0c-5f75-40ff-b9c2-8efce888b0fd · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection Detclip: Dictionary-enriched visual-concept paralleled pre- training for open-world detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.100783Z

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Observation 051b628e-fc06-4314-a81b-2a1066c5e1ab · outbound

This paper cites FILIP: Fine-grained interactive language- image pre-training.

MR-GDINO: Efficient Open-World Continual Object Detection FILIP: Fine-grained interactive language- image pre-training

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.083752Z

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Observation 53fbaf12-5f97-404b-a4bf-4360c46c5759 · outbound

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

MR-GDINO: Efficient Open-World Continual Object Detection Detclipv2: Scal- able open-vocabulary object detection pre-training via word- region alignment

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.065897Z

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Observation 4480f380-c492-491f-93c3-f25426976443 · outbound

This paper cites Boosting continual learning of vision-language models via mixture-of-experts adapters.

MR-GDINO: Efficient Open-World Continual Object Detection Boosting continual learning of vision-language models via mixture-of-experts adapters

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.047425Z

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Observation 079660c2-aedb-435f-9721-7d207fc9a479 · outbound

This paper cites Modeling context in referring expres- sions.

MR-GDINO: Efficient Open-World Continual Object Detection Modeling context in referring expres- sions

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:46.029884Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68e60420-9582-4402-8bd3-32a70f535189 · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

MR-GDINO: Efficient Open-World Continual Object Detection A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T10:59:45.644336Z

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Observation f818354e-3dfe-4150-b7fe-9edc6da34913 · outbound

This paper cites Sigmoid loss for language image pre-training.

MR-GDINO: Efficient Open-World Continual Object Detection Sigmoid loss for language image pre-training

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T10:59:45.650759Z

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Observation 71230854-eb52-427a-9663-47f883fe6560 · outbound

This paper cites Glipv2: Unifying localiza- tion and vision-language understanding.

MR-GDINO: Efficient Open-World Continual Object Detection Glipv2: Unifying localiza- tion and vision-language understanding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:45.996543Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 028b2168-475f-4930-9903-4521c87c8b58 · outbound

This paper cites Dynamic Object Queries for Transformer-based Incremental Object Detection.

MR-GDINO: Efficient Open-World Continual Object Detection Dynamic Object Queries for Transformer-based Incremental Object Detection

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:59:45.733713Z

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Observation e45fdc29-ffd1-416a-b802-ce129767170d · outbound

This paper cites Controlvideo: Training-free controllable text-to-video generation.

MR-GDINO: Efficient Open-World Continual Object Detection Controlvideo: Training-free controllable text-to-video generation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:45.977405Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0a99341-c650-4e48-87f4-504d395f86e2 · outbound

This paper cites Class-incremental learning: A survey.

MR-GDINO: Efficient Open-World Continual Object Detection Class-incremental learning: A survey

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:45.959536Z

Source-reported events for the cited work

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Observation 77491265-08f6-4363-853b-c03e5fab8016 · outbound

This paper cites Learning to prompt for vision-language models.

MR-GDINO: Efficient Open-World Continual Object Detection Learning to prompt for vision-language models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:45.942888Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98bad388-4576-4c8e-a220-0652494082e4 · outbound

This paper cites Deformable {detr}: Deformable transform- ers for end-to-end object detection.

MR-GDINO: Efficient Open-World Continual Object Detection Deformable {detr}: Deformable transform- ers for end-to-end object detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:59:45.923815Z

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Pith citing papers

Observation d23fb554-b6b2-4c64-80be-3802ef89af64 · inbound

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM cites this paper.

MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM MR-GDINO: Efficient Open-World Continual Object Detection

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:33:14.676390Z

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