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Paper Citation Record · LEDGER

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2412.06192.

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

pith.paper-citation-record.v1
2412.06192 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:58:39.026042Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:03:04.805897Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:17:24.694564Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af60a4fc-fd6d-4187-ad7a-d1cbe45d1111 · outbound

This paper cites Pohang canal dataset: A multimodal mar- itime dataset for autonomous navigation in restricted waters,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Pohang canal dataset: A multimodal mar- itime dataset for autonomous navigation in restricted waters,

Reference 1

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Observation 63ee2cb1-a31e-4aaa-9be1-40ae07cb9378 · outbound

This paper cites Are we ready for unmanned surface vehicles in inland waterways? the usvinland multisensor dataset and benchmark,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Are we ready for unmanned surface vehicles in inland waterways? the usvinland multisensor dataset and benchmark,

Reference 2

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Observation d5bf6f05-9d33-44a8-aa4b-7e484eb280f2 · outbound

This paper cites Efficient obstacle detection based on prior estimation network and spatially constrained mixture model for unmanned surface vehicles,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Efficient obstacle detection based on prior estimation network and spatially constrained mixture model for unmanned surface vehicles,

Reference 3

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Observation 5ba678c1-d7e7-4890-8690-7ec5ff66998b · outbound

This paper cites KOLOMVERSE: Korea open large-scale image dataset for object detection in the maritime universe.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal KOLOMVERSE: Korea open large-scale image dataset for object detection in the maritime universe

Reference 4

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Observation df369ad0-51b7-4d61-b7eb-a25e717376ed · outbound

This paper cites Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey,

Reference 5

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Observation 8ad5b0d8-fc16-4421-b080-adef02e27570 · outbound

This paper cites Flow: A dataset and benchmark for floating waste detection in inland waters,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Flow: A dataset and benchmark for floating waste detection in inland waters,

Reference 6

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Observation 6169b4b2-c67f-4e20-bfcf-a575369a15dd · outbound

This paper cites The mastr1325 dataset for training deep usv obstacle detection models,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal The mastr1325 dataset for training deep usv obstacle detection models,

Reference 7

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Observation 8d5e421c-3919-4a77-8957-d39206240970 · outbound

This paper cites Analysis of different tracking algorithms applied on thermal infrared imagery for maritime surveillance systems,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Analysis of different tracking algorithms applied on thermal infrared imagery for maritime surveillance systems,

Reference 8

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Observation 7aec281e-463d-43a4-9f02-163e2831c125 · outbound

This paper cites Vais: A dataset for recognizing maritime imagery in the visible and infrared spectrums,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Vais: A dataset for recognizing maritime imagery in the visible and infrared spectrums,

Reference 9

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Source-reported events for the cited work

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Observation e38aa53d-897e-4d84-8142-0047c9dbe9bb · outbound

This paper cites Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways,

Reference 10

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Observation 8a38518e-7384-484d-b00f-25dd5aa5d41a · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 11

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Observation 2cfa11b1-ede4-4143-911f-af6e6aa7f2c9 · outbound

This paper cites Helipr: Heterogeneous lidar dataset for inter-lidar place recognition under spatiotemporal variations,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Helipr: Heterogeneous lidar dataset for inter-lidar place recognition under spatiotemporal variations,

Reference 12

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Source-reported events for the cited work

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Observation b3b0018f-eb48-4dee-925c-9c89cfa6bd51 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 521c3212-e891-47b2-af51-dfce204abbc1 · outbound

This paper cites HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors

Reference 14

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Observation 9a44b85f-5d28-4b43-b65f-2f49f9da2e0a · outbound

This paper cites Ultralytics yolov8,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Ultralytics yolov8,

Reference 15

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Observation d31f6023-63fa-4c16-9040-cb23db5dcae6 · outbound

This paper cites Thermal object detection in difficult weather conditions using yolo,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Thermal object detection in difficult weather conditions using yolo,

Reference 16

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Observation 2f73cb65-0fc6-4407-a49f-0686231e29da · outbound

This paper cites Global structure- aware diffusion process for low-light image enhancement,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Global structure- aware diffusion process for low-light image enhancement,

Reference 17

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Observation b51fec02-eb44-40aa-89fc-5a775b526733 · outbound

This paper cites Fieldscale: Locality-aware field-based adaptive rescaling for thermal infrared image,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Fieldscale: Locality-aware field-based adaptive rescaling for thermal infrared image,

Reference 18

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Source-reported events for the cited work

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Observation 018419fa-67b9-4bb6-a316-0a9b09a5643a · outbound

This paper cites an unresolved cited work.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Unresolved cited work

Reference 19

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Observation 72c78801-362e-480a-b1d0-047c567521e6 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 20

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Observation 3eb62a56-a939-469f-b7de-ee00ad171474 · outbound

This paper cites Evaluating multiple object tracking perfor- mance: the clear mot metrics,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Evaluating multiple object tracking perfor- mance: the clear mot metrics,

Reference 21

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Observation 6412ca03-249f-486f-83f1-9262d5355de4 · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Performance measures and a data set for multi-target, multi-camera tracking,

Reference 22

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Observation 9410c7a2-058a-4d1e-af43-861a529f92ad · outbound

This paper cites Ob- jects365: A large-scale, high-quality dataset for object detection,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Ob- jects365: A large-scale, high-quality dataset for object detection,

Reference 23

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Observation f075ecc2-ab23-49c6-a9bd-ad1c4fc8c93a · outbound

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

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Gqa: A new dataset for real-world visual reasoning and compositional question answering,

Reference 24

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Observation c44f9937-5288-4696-8fd2-e8277f8f6d88 · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,

Reference 25

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Observation a01c2a9b-d169-45ba-bb88-5c7e0fca9c97 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 26

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Observation c7ccaaa7-d298-4268-b56e-09cdea8ac0c9 · outbound

This paper cites Decoupled Weight Decay Regularization.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Decoupled Weight Decay Regularization

Reference 27

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Observation 4bbf67b7-8de6-4575-8c46-95618ea187dc · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal YOLOv10: Real-Time End-to-End Object Detection

Reference 28

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Observation 6c416cbe-7c97-40aa-bd62-e424005112d5 · outbound

This paper cites Detrs beat yolos on real-time object detection,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Detrs beat yolos on real-time object detection,

Reference 29

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Observation ea86eaed-e217-48a0-af89-4c7ec60dc567 · outbound

This paper cites YOLO-World: Real-Time Open-Vocabulary Object Detection.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal YOLO-World: Real-Time Open-Vocabulary Object Detection

Reference 30

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Observation f31f9cb5-acb2-474a-9fba-1ff63749420a · outbound

This paper cites Microsoft coco: Common objects in context,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Microsoft coco: Common objects in context,

Reference 31

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Observation 1e17e98f-d504-4964-bd6c-75043ce5a5de · outbound

This paper cites Simple online and realtime tracking,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Simple online and realtime tracking,

Reference 32

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Source-reported events for the cited work

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Observation 78fa1960-8d3c-4628-a142-aa2bea125bba · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Bytetrack: Multi-object tracking by associating every detection box,

Reference 33

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Observation 80bbea5f-b777-48e8-a5cd-e6bae25d2666 · outbound

This paper cites Observation-centric sort: Rethinking sort for robust multi-object tracking,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Observation-centric sort: Rethinking sort for robust multi-object tracking,

Reference 34

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Observation 115935d6-8f6b-404f-ac25-05fa821c2a16 · outbound

This paper cites Hybrid-sort: Weak cues matter for online multi-object tracking,.

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal Hybrid-sort: Weak cues matter for online multi-object tracking,

Reference 35

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verified fuzzy
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Pith citing papers

Observation 6b6c7f25-a740-4b33-a2ea-0e3a05b66bbe · inbound

MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application cites this paper.

MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal

Reference 8

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Observation 4c3ec4b0-b121-4279-bbda-b8ae7c430948 · inbound

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking cites this paper.

MVTD: A Benchmark Dataset for Maritime Visual Object Tracking PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal

Reference 49

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local_arxiv, observed 2026-08-07T11:17:24.754743Z

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