Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:03.430803Z
Paper Citation Record · LEDGER
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern
As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.02408.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76c25ac1-225d-42da-a8e4-d2d98a8db852 · outbound
This paper cites BoT- SORT: Robust Associations Multi-Pedestrian Tracking,.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern BoT- SORT: Robust Associations Multi-Pedestrian Tracking,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.942973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 026894ef-f50a-4592-90dc-0f719509143e · outbound
This paper cites Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Mo- tion Similarity, 2024.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Mo- tion Similarity, 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.779415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f32f160f-7e3a-4e31-987c-14813ccb035a · outbound
This paper cites Simple online and realtime tracking.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Simple online and realtime tracking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.599531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d9cd17fe-cb61-4f08-9209-ce0608ba8f9a · outbound
This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:01.342948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09a2d236-cc7f-42ed-8b8a-4f7757bec753 · outbound
This paper cites Ther- mal pedestrian multiple object tracking challenge (tp-mot).
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Ther- mal pedestrian multiple object tracking challenge (tp-mot)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.445823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 815ee0a7-7210-4fab-8de1-553000407c0f · outbound
This paper cites Fast R-CNN.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.290645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82076b90-7fd5-4644-af8a-546594faba25 · outbound
This paper cites Rich Feature Hierarchies for Accurate Object Detec- tion and Semantic Segmentation.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Rich Feature Hierarchies for Accurate Object Detec- tion and Semantic Segmentation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:06.101871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dfc13e13-fdb3-4498-897a-8e0e1bd025f8 · outbound
This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Multispectral pedestrian detection: Benchmark dataset and baseline
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:05.921268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 31ea39e3-80da-4acb-a7a2-11d8b7293305 · outbound
This paper cites Ultralytics YOLO, 2023.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Ultralytics YOLO, 2023
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:05.761550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation de7cd6eb-a4d8-4178-b767-ae9bf290e71d · outbound
This paper cites an unresolved cited work.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:35:05.571599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09318e20-aa8c-4d4b-99a3-d9e43f4b97a4 · outbound
This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:02.201353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 253c46cd-a8a7-4fbd-90d6-432ab581a9fd · outbound
This paper cites PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:05.412640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c0f9965-0ef5-4f47-a26e-f66d2aef720c · outbound
This paper cites an unresolved cited work.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:35:05.207417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a42f12ec-f97f-4d9d-9e4c-608520700224 · outbound
This paper cites DiffMOT: A Real-time Diffusion- based Multiple Object Tracker with Non-linear Prediction.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern DiffMOT: A Real-time Diffusion- based Multiple Object Tracker with Non-linear Prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:05.026181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23ae7859-6b19-43ac-a0f0-317412bd19f1 · outbound
This paper cites YOLOv3: An Incremental Improvement.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv3: An Incremental Improvement
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:02.560025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b10d502-0483-454f-b0c5-917dca3afbb9 · outbound
This paper cites You Only Look Once: Unified, Real-Time Object Detection.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern You Only Look Once: Unified, Real-Time Object Detection
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:04.863491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 709386c8-1f53-4838-8100-4ad2b8e30b6d · outbound
This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:02.814256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b3e6ca0-0273-4f90-bb80-4ee0b9a270c9 · outbound
This paper cites Stanojevic and Branimir T.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Stanojevic and Branimir T
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:04.657175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation af39d86f-c16f-465f-a44b-159e7241f7cc · outbound
This paper cites BoostTrack++: using tracklet information to detect more objects in multiple object tracking, 2024.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern BoostTrack++: using tracklet information to detect more objects in multiple object tracking, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:04.452115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e6ce7cea-c058-4d65-93c6-3cdde975b59d · outbound
This paper cites YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:04.278543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 62d97170-9844-4476-81a1-e4338bc28213 · outbound
This paper cites YOLOv9: Learning What You Want to Learn Using Pro- grammable Gradient Information.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv9: Learning What You Want to Learn Using Pro- grammable Gradient Information
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:04.072226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7e9f7b8b-de05-40e9-a4ba-cbf6ab1f637a · outbound
This paper cites Simple online and realtime tracking with a deep association metric.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern Simple online and realtime tracking with a deep association metric
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:03.856728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34bab7c7-aa41-4f36-b6ce-fb0be9c731ae · outbound
This paper cites ByteTrack: Multi-object Tracking by Associating Ev- ery Detection Box.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern ByteTrack: Multi-object Tracking by Associating Ev- ery Detection Box
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:03.659947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 05d0a03f-05f7-48ea-a55a-b591bddaf0b8 · outbound
This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:35:00.758648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.