Paper Citation Record · LEDGER

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 5 inbound Pith citation observations for arXiv:2412.04149.

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

pith.paper-citation-record.v1
2412.04149 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:48:29.168198Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:25:35.541551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.641301Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy43
unresolved2
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aa88415-108a-4141-8ac2-848a707a8520 · outbound

This paper cites Time-ordered recent event (tore) volumes for event cameras.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Time-ordered recent event (tore) volumes for event cameras

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.426666Z

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 26dd1db8-0b69-417b-b6f8-58540fec9deb · outbound

This paper cites Asynchronous convolutional networks for object detection in neuromorphic cameras.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Asynchronous convolutional networks for object detection in neuromorphic cameras

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.337484Z

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 a4d41dfc-1f24-4895-bcd0-da129782bd36 · outbound

This paper cites Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:48:29.500629Z

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 c1c9c756-ac9f-422b-9f43-d127e2945d1d · outbound

This paper cites A fully spiking hybrid neural network for energy-efficient object detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames A fully spiking hybrid neural network for energy-efficient object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.171326Z

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 5e6c1fac-fd75-44f5-91a5-cd35be111ded · outbound

This paper cites Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.088428Z

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 14a05b1e-ea19-4d11-b73c-d21dd2434843 · outbound

This paper cites Deformable con- volutional networks.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Deformable con- volutional networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.073294Z

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 9d7ee156-162f-4cf1-b75e-a8bf75b745ed · outbound

This paper cites Adam: A method for stochastic opti- mization.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Adam: A method for stochastic opti- mization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.058492Z

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 7fdc6b7b-eb90-4fa8-8bf7-a482cf405626 · outbound

This paper cites Sfod: Spiking fusion object detector.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Sfod: Spiking fusion object detector

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.044298Z

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 d069b61b-2334-4ebc-9cdc-9c2b9b4a1945 · outbound

This paper cites Event-based vision: A survey.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Event-based vision: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.029967Z

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 63006bfd-ddfc-40cb-9df6-b2b1219cc27f · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames YOLOX: Exceeding YOLO Series in 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:28.659090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a3a07e-7e2d-423c-9ed7-a35ea235349c · outbound

This paper cites Low-latency auto- motive vision with event cameras.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Low-latency auto- motive vision with event cameras

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.015981Z

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 5db0593b-14c2-4948-b60f-3a6ca0bfd6a9 · outbound

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

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Recurrent vision transformers for object detection with event cameras

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:31.001569Z

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 53f01127-e20b-4315-a728-93a003108225 · outbound

This paper cites Spiking neural networks.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Spiking neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.987731Z

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 0a729760-7e64-4f77-bee2-ae270d818ce1 · outbound

This paper cites Deep residual learning for image recognition.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Deep residual learning for image recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.972565Z

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 897d5275-5505-44aa-bec2-5cbca302b871 · outbound

This paper cites Long short-term memory.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Long short-term memory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.957922Z

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 d1279c60-af3e-42b6-be46-f616f5779242 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Arbitrary style transfer in real-time with adaptive instance normalization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.752914Z

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 359ebb34-71af-45af-85e9-6709c94de3db · outbound

This paper cites Mixed frame-/event-driven fast pedestrian detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Mixed frame-/event-driven fast pedestrian detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.632717Z

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 606d23d1-ccb3-4888-9ca7-42a52b406687 · outbound

This paper cites Spiking-yolo: spiking neural network for energy- efficient object detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Spiking-yolo: spiking neural network for energy- efficient object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.618559Z

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 945eb928-fa40-4651-b51c-7db76d822afa · outbound

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

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Sodformer: Streaming object detection with transformer using events and frames

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.604768Z

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 564d38d0-33b1-4741-81f5-34bbc072974f · outbound

This paper cites Event-based vi- sion enhanced: A joint detection framework in autonomous driving.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Event-based vi- sion enhanced: A joint detection framework in autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.590567Z

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 03163a1a-49b2-4665-ad21-19e99fecbb40 · outbound

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

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Asynchronous spatio- temporal memory network for continuous event-based object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.575959Z

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 6c41768e-874e-4b5f-a1bd-509d62c2ab9c · outbound

This paper cites Object-centric Cross-modal Feature Distillation for Event-based Object Detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Object-centric Cross-modal Feature Distillation for Event-based Object Detection

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:48:29.284012Z

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 bc15080d-696b-4d83-a995-ce3c714993d1 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dy- namic scenes.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Neural scene flow fields for space-time view synthesis of dy- namic scenes

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.560022Z

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 6e2d20b3-5274-4c4f-a01c-f989ced85a5e · outbound

This paper cites Mi- crosoft coco: Common objects in context.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Mi- crosoft coco: Common objects in context

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.545099Z

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 8f8e508e-a32b-4ee6-98f9-04a2285ca3dc · outbound

This paper cites Motion robust high-speed light-weighted object detection with event cam- era.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Motion robust high-speed light-weighted object detection with event cam- era

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.527796Z

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 b596b33f-1dd9-4a99-b3cc-1cf615025f9f · outbound

This paper cites Swin transformer: Hier- archical vision transformer using shifted windows.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Swin transformer: Hier- archical vision transformer using shifted windows

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.453238Z

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 4ef6c18c-9cee-4fa7-a21f-9d1f117f0116 · outbound

This paper cites Scene adaptive sparse transformer for event-based object detection.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Scene adaptive sparse transformer for event-based object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.350553Z

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 52211160-07be-4a84-bd85-26177e593903 · outbound

This paper cites Learning to detect objects with a 1 megapixel event cam- era.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Learning to detect objects with a 1 megapixel event cam- era

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.236322Z

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 4dca9b59-c868-4825-89a1-f7887f643835 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Aegnn: Asynchronous event-based graph neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.197857Z

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 88987206-3274-457d-afd9-cb823e6924cc · outbound

This paper cites Bidirectional recurrent neural networks.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Bidirectional recurrent neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.183199Z

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 064151af-a73e-4aeb-9bf6-7996501b83df · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Simplified State Space Layers for Sequence Modeling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T21:48:29.091193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecfd927b-a1b5-45e5-8ffd-ea7495bd3e84 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learning rates.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Super-convergence: Very fast training of neural networks using large learning rates

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.167856Z

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 f0e57b38-4341-4a1f-9c76-85a2590c6c50 · outbound

This paper cites Event- based fusion for motion deblurring with cross-modal atten- tion.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Event- based fusion for motion deblurring with cross-modal atten- tion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.152968Z

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 45df2e7c-0096-4d9e-a1b0-be34fd06dd80 · outbound

This paper cites Deep learning in spiking neural networks.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Deep learning in spiking neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.138463Z

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 97cb201c-8e66-4f6e-80a8-ddb2df5fc552 · outbound

This paper cites Fusing event-based and rgb camera for robust object detec- tion in adverse conditions.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Fusing event-based and rgb camera for robust object detec- tion in adverse conditions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.122905Z

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 27fe2d80-4b13-4932-a42c-0b0c88c81928 · outbound

This paper cites Maxvit: Multi-axis vision transformer.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Maxvit: Multi-axis vision transformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.108374Z

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 825c2d2b-970e-4e3a-960d-6b8e01e6d12d · outbound

This paper cites Learning an event sequence embedding for dense event- based deep stereo.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Learning an event sequence embedding for dense event- based deep stereo

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.093822Z

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 7c9d64be-3af4-49fb-8113-75e9d16335cf · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Cspnet: A new backbone that can enhance learning capability of cnn

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:30.079516Z

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 fc9e9ed4-9f96-4118-aefb-ea1eb80e08af · outbound

This paper cites Towards robust keypoint detection and tracking: A fusion approach with event-aligned image features.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Towards robust keypoint detection and tracking: A fusion approach with event-aligned image features

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.937958Z

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 456d33ff-1b3b-44d9-9411-cf15524925a5 · outbound

This paper cites Cbam: Convolutional block attention module.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Cbam: Convolutional block attention module

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.695162Z

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 859683a5-0acf-4012-b31b-bc9fbab867a2 · outbound

This paper cites Rgb- infrared cross-modality person re-identification.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Rgb- infrared cross-modality person re-identification

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.680303Z

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 48cf949c-016a-41c6-ab22-b54602d0508e · outbound

This paper cites Detecting line segments in motion-blurred images with events.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Detecting line segments in motion-blurred images with events

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.664931Z

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 e04c94ba-24f6-4279-833b-a52c252c18eb · outbound

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

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Spiking transformers for event-based single object tracking

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.648939Z

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 22c4a5b6-d277-4ab8-983b-da092dcd14f1 · outbound

This paper cites Frame- event alignment and fusion network for high frame rate tracking.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Frame- event alignment and fusion network for high frame rate tracking

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.633032Z

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 1975714c-181e-4b18-9f14-cda60dd0cf23 · outbound

This paper cites Rgb-event fusion for moving object detection in autonomous driving.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Rgb-event fusion for moving object detection in autonomous driving

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.617716Z

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 b4f159bb-8db6-49f3-9ebb-78b9bea81add · outbound

This paper cites Unsupervised event-based learning of op- tical flow, depth, and egomotion.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Unsupervised event-based learning of op- tical flow, depth, and egomotion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.585849Z

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 84b0e48f-92d0-4d4c-a9a9-788368479fda · outbound

This paper cites State space models for event cameras.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames State space models for event cameras

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:48:29.568877Z

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 7e9dca07-286a-4536-9ef3-097e8fd4e259 · outbound

This paper cites 3, 5, 6, 7.

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames 3, 5, 6, 7

Reference 7815

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T21:48:29.601743Z

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 a9c3c9fc-39cd-4b0b-a323-f8a6919d8df3 · inbound

Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training cites this paper.

Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Reference 1740

Resolution: unresolved; no resolver link, observed 2026-08-02T20:25:35.541551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafd9697-b807-456a-8301-46c202f0ca69 · inbound

Hyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE cites this paper.

Hyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:46:04.116136Z

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 e3f5a0e5-eb85-45c0-8a60-944bab9f0f25 · inbound

Hyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE cites this paper.

Hyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T16:27:21.590619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b2b86d-0fdb-43fa-8cc2-e1ae7e4f845b · inbound

M^2C-EvDet: Multi-Domain Multi-Order Cross-Modal Knowledge Distillation for Event-based Object Detection cites this paper.

M^2C-EvDet: Multi-Domain Multi-Order Cross-Modal Knowledge Distillation for Event-based Object Detection Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.642797Z

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 e90d22ec-8ca0-4f8b-8d48-d872f6b709e5 · inbound

SkyEV: RGB-Event UAV detection and tracking dataset and baseline cites this paper.

SkyEV: RGB-Event UAV detection and tracking dataset and baseline Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T14:31:08.335763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.