From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning | Paper Citation Record

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This paper cites an unresolved cited work.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Unresolved cited work

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This paper cites Neuro-symbolic visual rea- soning: Disentangling.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Neuro-symbolic visual rea- soning: Disentangling

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This paper cites Cascade r-cnn: Delv- ing into high quality object detection.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Cascade r-cnn: Delv- ing into high quality object detection

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This paper cites End-to- end object detection with transformers.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning End-to- end object detection with transformers

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This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

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This paper cites Vtqa: Visual text question answering via entity alignment and cross-media reasoning.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Vtqa: Visual text question answering via entity alignment and cross-media reasoning

Reference 6

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

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Yolo-world: Real-time open-vocabulary object detection

Reference 7

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This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 8

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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This paper cites Flexible visual recognition by evidential modeling of confu- sion and ignorance.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Flexible visual recognition by evidential modeling of confu- sion and ignorance

Reference 10

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This paper cites Question aware vision transformer for multimodal reasoning.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Question aware vision transformer for multimodal reasoning

Reference 11

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This paper cites Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Reference 12

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This paper cites Recurrent vision transformers for object detection with event cameras.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Recurrent vision transformers for object detection with event cameras

Reference 13

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This paper cites A background-agnostic framework with adversarial training for abnormal event detection in video.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning A background-agnostic framework with adversarial training for abnormal event detection in video

Reference 14

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This paper cites Fast r-cnn.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Fast r-cnn

Reference 15

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This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 16

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This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 17

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This paper cites Ow-detr: Open-world detection transformer.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Ow-detr: Open-world detection transformer

Reference 18

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This paper cites LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions

Reference 19

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This paper cites Making anomalies more anomalous: Video anomaly detection using a novel generator and destroyer.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Making anomalies more anomalous: Video anomaly detection using a novel generator and destroyer

Reference 20

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning LoRA: Low-Rank Adaptation of Large Language Models

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This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Gqa: A new dataset for real-world visual reasoning and compositional question answering

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This paper cites Detrs with hybrid matching.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Detrs with hybrid matching

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This paper cites Consistency and uncertainty: Iden- tifying unreliable responses from black-box vision-language models for selective visual question answering.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Consistency and uncertainty: Iden- tifying unreliable responses from black-box vision-language models for selective visual question answering

Reference 24

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This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 25

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This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 26

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This paper cites Sodformer: Streaming object detection with transformer using events and frames.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Sodformer: Streaming object detection with transformer using events and frames

Reference 27

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This paper cites Asynchronous spatio-temporal memory net- work for continuous event-based object detection.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Asynchronous spatio-temporal memory net- work for continuous event-based object detection

Reference 28

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Neural- logic human-object interaction detection

Reference 29

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Grounded language-image pre-training

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 31

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Open-vocabulary semantic segmentation with mask-adapted clip

Reference 32

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Complex event recognition via spatial-temporal relation graph reasoning

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Ru-net: Regularized unrolling network for scene graph generation

Reference 34

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Mo- tion robust high-speed light-weighted object detection with event camera

Reference 35

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Visual instruction tuning

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 37

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Grounding dino: Marrying dino with grounded pre-training for open-set object detection

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Diversity-measurable anomaly detection

Reference 39

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 40

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Openeqa: Embodied question answering in the era of foun- dation models

Reference 41

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This paper cites The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Reference 42

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Conditional detr for fast training convergence

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Automatic interaction and activity recog- nition from videos of human manual demonstrations with application to anomaly detection

Reference 44

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Unresolved cited work

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning DINOv2: Learning Robust Visual Features without Supervision

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This paper cites Plum: Prompt Learning using Metaheuristic.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Plum: Prompt Learning using Metaheuristic

Reference 47

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This paper cites Fastano: Fast anomaly detection via spatio- temporal patch transformation.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Fastano: Fast anomaly detection via spatio- temporal patch transformation

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From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning DetGPT: Detect What You Need via Reasoning

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This paper cites Learning transferable visual models from natural language supervi- sion.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Learning transferable visual models from natural language supervi- sion

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

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning You only look once: Unified, real-time object de- tection

Reference 51

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Observation aff6ac5e-029f-4772-b777-bbb697854f68 · outbound

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

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.051369Z

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Observation b1a9be3b-495f-49cf-9be2-5320538eeb41 · outbound

This paper cites Self-distilled masked auto-encoders are efficient video anomaly detectors.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Self-distilled masked auto-encoders are efficient video anomaly detectors

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.708004Z

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Observation f91921ed-e4f4-487c-81ed-c064b345dac8 · outbound

This paper cites Learning to detect every thing in an open world.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Learning to detect every thing in an open world

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.061353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ab49bf-a9df-4327-8de0-b40c20fc94cd · outbound

This paper cites Deepunseen: Unpredicted event recognition through integrated vision- language models.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Deepunseen: Unpredicted event recognition through integrated vision- language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.682148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15fb48cb-a035-444d-a55a-99d92b79dee5 · outbound

This paper cites Aligning and prompting everything all at once for univer- sal visual perception.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Aligning and prompting everything all at once for univer- sal visual perception

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.666328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be46e15c-52bb-4f8b-8f11-cf851653bade · outbound

This paper cites Explainable and explicit visual reasoning over scene graphs.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Explainable and explicit visual reasoning over scene graphs

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.650337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb46756d-867a-4362-b4b7-5d9499b607fd · outbound

This paper cites Vald-gan: video anomaly detection using latent discriminator augmented gan.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Vald-gan: video anomaly detection using latent discriminator augmented gan

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.635041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d54ac4be-b9e6-4309-a549-6820ca24bf76 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.086141Z

Source-reported events for the cited work

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Observation d4db15d5-2426-445f-b449-c550805f2c9e · outbound

This paper cites Dual memory aggregation network for event-based ob- ject detection with learnable representation.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Dual memory aggregation network for event-based ob- ject detection with learnable representation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.620449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 989e40dc-d6fc-4e87-a9ca-559503d70175 · outbound

This paper cites Anomaly detection in crowd scene.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Anomaly detection in crowd scene

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.605069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35471eaa-7981-41d4-8539-3356b6f86948 · outbound

This paper cites Scene graph disentanglement and composition for generalizable complex image generation.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Scene graph disentanglement and composition for generalizable complex image generation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.589395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8feff77f-1f92-477c-8a36-f43baf875965 · outbound

This paper cites GPS: Genetic Prompt Search for Efficient Few-shot Learning.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.105889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af5ff56-148b-419f-8e9a-a7de45193768 · outbound

This paper cites Neural-symbolic vqa: Disentangling reasoning from vision and language under- standing.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Neural-symbolic vqa: Disentangling reasoning from vision and language under- standing

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.573039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f0c0d79-fc27-4dda-b714-a702e4bf06b0 · outbound

This paper cites Bridging knowledge graphs to generate scene graphs.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Bridging knowledge graphs to generate scene graphs

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.556935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd4c49f0-1633-4143-b25c-111de8daa408 · outbound

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

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.120340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3be8a1c-c165-4a18-aa96-e6cca01e6e58 · outbound

This paper cites Spiking transform- ers for event-based single object tracking.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Spiking transform- ers for event-based single object tracking

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.540021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50a7cf3b-6cdc-4765-a6ed-83ebc6e2ffcd · outbound

This paper cites Groundhog: Grounding large language models to holistic segmentation.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Groundhog: Grounding large language models to holistic segmentation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.523707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77afa86b-1935-4e89-a63a-76304192989f · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T17:46:32.134732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30e0f227-b3d6-46eb-8523-c4b558a10841 · outbound

This paper cites Prob: Probabilistic objectness for open world object detection.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Prob: Probabilistic objectness for open world object detection

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.506828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76e9cef3-d756-465e-bfba-e6cc02a4de36 · outbound

This paper cites Segment everything everywhere all at once.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Segment everything everywhere all at once

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.489986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e6cd128-e065-40cd-901e-2ce6cce5aa8b · outbound

This paper cites an unresolved cited work.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:46:32.474791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 501e2a89-e2b6-4cfe-85d0-3b9b86645558 · outbound

This paper cites Detailed results can be found in Table 4.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Detailed results can be found in Table 4

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.460173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06230eff-3170-40a6-8a98-571e6a722afa · outbound

This paper cites Table 8 summarizes the key mathematical symbols and their definitions used in this work.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning Table 8 summarizes the key mathematical symbols and their definitions used in this work

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:46:32.443468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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