Paper Citation Record · LEDGER

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.17251.

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

pith.paper-citation-record.v1
2411.17251 v8

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:23:39.091947Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact8
verified fuzzy1
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd7892c6-9107-43fd-bb4a-55a5d640ff4b · outbound

This paper cites YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.598830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2740e331-50b2-4c11-b834-6f1e4e16c027 · outbound

This paper cites Sah Bin Haji Salam, Usman Ullah Sheikh, and Sara Ayub.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Sah Bin Haji Salam, Usman Ullah Sheikh, and Sara Ayub

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:41.725574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f97cbba-22c4-4dd7-94ec-b1d7653bab23 · outbound

This paper cites Efficient Visual Tracking With Exemplar Transformers.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Efficient Visual Tracking With Exemplar Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.691534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e66360-6c5e-4b24-8d28-a84839040916 · outbound

This paper cites an unresolved cited work.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Unresolved cited work

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:41.494211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e433124-191a-4115-a741-1bdf4cd2164c · outbound

This paper cites 3d multi-object tracking using graph neural networks with cross-edge modality attention.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking 3d multi-object tracking using graph neural networks with cross-edge modality attention

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.702726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890647d4-c266-4470-b257-686a06873b99 · outbound

This paper cites End-to-End Object Detection with Transformers.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking End-to-End Object Detection with Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.707144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b95a351-35a5-4b12-abcd-4821892d86c0 · outbound

This paper cites Object Detection in Remote Sensing Images Based on a Scene - Contextual Feature Pyramid Network.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Object Detection in Remote Sensing Images Based on a Scene - Contextual Feature Pyramid Network

Reference 7

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.534681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32691585-776f-49ec-8178-97d9af16bafe · outbound

This paper cites Transformer Tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Transformer Tracking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.717574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633ea645-f02b-4715-ab20-b4e7bd7387c3 · outbound

This paper cites Online Multi - Object Tracking Using CNN - Based Single Object Tracker With Spatial - Temporal Attention Mechanism.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Online Multi - Object Tracking Using CNN - Based Single Object Tracker With Spatial - Temporal Attention Mechanism

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:23:41.773277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a1a42f8-b572-4b6a-938b-759de63a40eb · outbound

This paper cites Histograms of oriented gradients for human detection.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Histograms of oriented gradients for human detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.727119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe13db5-5d74-4731-a6d8-17bd25af311d · outbound

This paper cites A Survey on Artificial Intelligence ( AI ) and eXplainable AI in Air Traffic Management : Current Trends and Development with Future Research Trajectory.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking A Survey on Artificial Intelligence ( AI ) and eXplainable AI in Air Traffic Management : Current Trends and Development with Future Research Trajectory

Reference 11

Resolution: verified exact; doi, observed 2026-08-12T12:23:41.757897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80003ab0-48bf-453d-bb51-cbf1a8032572 · outbound

This paper cites Bifpn-yolo: One-stage object detection integrating bi-directional feature pyramid networks.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Bifpn-yolo: One-stage object detection integrating bi-directional feature pyramid networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.737855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8778d74a-f460-4e16-82a9-0a563299a6b5 · outbound

This paper cites Intelligent transportation systems for sustainable smart cities.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Intelligent transportation systems for sustainable smart cities

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.742255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87ddc0e-11cc-4223-bc4c-3f4e18c936a4 · outbound

This paper cites Handcrafted and Deep Trackers : Recent Visual Object Tracking Approaches and Trends.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Handcrafted and Deep Trackers : Recent Visual Object Tracking Approaches and Trends

Reference 14

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.509236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bab88706-4bc0-4286-a120-a79a44fc4df0 · outbound

This paper cites Enabling Safe Autonomous Driving in Real - World City Traffic Using Multiple Criteria Decision Making.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Enabling Safe Autonomous Driving in Real - World City Traffic Using Multiple Criteria Decision Making

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:41.017834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a7c6a9a-26d1-4624-a8ca-b5da2b0d6db0 · outbound

This paper cites Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:23:39.493397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d544b1b-37c8-42a9-872a-7e6859863ddb · outbound

This paper cites Graph convolution neural network-based data association for online multi-object tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Graph convolution neural network-based data association for online multi-object tracking

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:40.907178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6720252-d54b-48e7-8ed6-d9a06d1b705f · outbound

This paper cites SwinTrack: A Simple and Strong Baseline for Transformer Tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking SwinTrack: A Simple and Strong Baseline for Transformer Tracking

Reference 18

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:40.768584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df79b557-873e-43b7-8ed3-796a07b13a29 · outbound

This paper cites Focal loss for dense object detection.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Focal loss for dense object detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.939410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78e84bd-903d-4a43-8b6b-acbf30dfba9b · outbound

This paper cites SSD : Single Shot MultiBox Detector.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking SSD : Single Shot MultiBox Detector

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:38.991210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c03aa1-4d73-4406-be38-9646c18e5dfa · outbound

This paper cites OD - XAI : Explainable AI - Based Semantic Object Detection for Autonomous Vehicles.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking OD - XAI : Explainable AI - Based Semantic Object Detection for Autonomous Vehicles

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.460757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c925cf0-1db3-4100-a157-c823e511a899 · outbound

This paper cites Deep Learning for Visual Tracking : A Comprehensive Survey.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Deep Learning for Visual Tracking : A Comprehensive Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.020943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c1bc8c-b2b0-48d4-a607-60e7a6f4dd22 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking You Only Look Once: Unified, Real-Time Object Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.024968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a59f9b-5c46-47cb-b0e6-a6a9aea8fe7a · outbound

This paper cites Faster R - CNN : Towards Real - Time Object Detection with Region Proposal Networks.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Faster R - CNN : Towards Real - Time Object Detection with Region Proposal Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.030308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba49c8c-33c6-4eb4-9989-8cdc487f9328 · outbound

This paper cites an unresolved cited work.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.034827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e7f488-c8cb-4c28-94c7-dc6e34f91616 · outbound

This paper cites RSOD : Real -time small object detection algorithm in UAV -based traffic monitoring.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking RSOD : Real -time small object detection algorithm in UAV -based traffic monitoring

Reference 26

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.399914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d87e7d3c-c03c-4b3f-9488-8176dda7f98b · outbound

This paper cites Rapid object detection using a boosted cascade of simple features.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Rapid object detection using a boosted cascade of simple features

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.045149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c343f5-59fd-4cc1-8cd8-e7406f3e7b0b · outbound

This paper cites Yolo-anti: Yolo-based counterattack model for unseen congested object detection.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Yolo-anti: Yolo-based counterattack model for unseen congested object detection

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:40.286994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4b288ff-ef11-41f8-858d-40c4c8f58274 · outbound

This paper cites Fast online object tracking and segmentation: A unifying approach.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Fast online object tracking and segmentation: A unifying approach

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.054204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab29c0c-3376-46fe-9baa-bff8a06a188e · outbound

This paper cites Towards Real-Time Multi-Object Tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Towards Real-Time Multi-Object Tracking

Reference 30

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.287115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a34104e-a77e-4880-9177-5ae3912940e1 · outbound

This paper cites Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.063681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7f2077-34e7-42c3-8f52-0570d3df92ec · outbound

This paper cites Advances in Convolutional Neural Networks for Object Detection and Recognition.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Advances in Convolutional Neural Networks for Object Detection and Recognition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.068024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 789de97f-c11e-486b-b928-8a28a4e48432 · outbound

This paper cites Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints

Reference 33

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:39.877242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d76e13bf-b031-42e5-973e-e675f5be3c9e · outbound

This paper cites Temporal dynamic graph lstm for action-driven video object detection.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Temporal dynamic graph lstm for action-driven video object detection

Reference 34

Resolution: verified exact; doi, observed 2026-08-12T12:23:39.164408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec73a3f2-cd73-4cbd-bca9-86840e9d349a · outbound

This paper cites SCGTracker : Spatio-temporal correlation and graph neural networks for multiple object tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking SCGTracker : Spatio-temporal correlation and graph neural networks for multiple object tracking

Reference 35

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:23:39.759137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed3195c4-0430-4293-91af-5aa5596cec87 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Fairmot: On the fairness of detection and re-identification in multiple object tracking

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.087239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6662389-c0d9-48fd-bbcb-515e21442b80 · outbound

This paper cites Dehazing & Reasoning YOLO: Prior knowledge-guided network for object detection in foggy weather.

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking Dehazing & Reasoning YOLO: Prior knowledge-guided network for object detection in foggy weather

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T12:23:39.091947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.