Paper Citation Record · LEDGER

MOT20: A benchmark for multi object tracking in crowded scenes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2003.09003.

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

pith.paper-citation-record.v1
2003.09003 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:02.755723Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:26:43.122521Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f8c9c3b3-4052-4242-8da4-6fcbfc026bee · inbound

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection cites this paper.

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection MOT20: A benchmark for multi object tracking in crowded scenes

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:02.755723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20baaf9f-998f-42f7-9a72-8e3fd6ab1342 · inbound

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data cites this paper.

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data MOT20: A benchmark for multi object tracking in crowded scenes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:08.030421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb07304c-61c7-4a05-81e3-b8440489d16c · inbound

Progressive Scaling Visual Object Tracking cites this paper.

Progressive Scaling Visual Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:07.390614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8249d2f-734a-4720-a8d1-da915aac5fc9 · inbound

LazyVLM: Neuro-Symbolic Approach to Video Analytics cites this paper.

LazyVLM: Neuro-Symbolic Approach to Video Analytics MOT20: A benchmark for multi object tracking in crowded scenes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:18.850135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d96be6-7ac8-43f4-8ed3-c4af5e657a83 · inbound

A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects cites this paper.

A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects MOT20: A benchmark for multi object tracking in crowded scenes

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:19.794333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dcb88c6-924a-48c3-b675-a483529e51e9 · inbound

USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways cites this paper.

USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways MOT20: A benchmark for multi object tracking in crowded scenes

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:37.820359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d5293f-5743-4a0e-920f-298dd94fc396 · inbound

Trajectory Prediction in Dynamic Object Tracking: A Critical Study cites this paper.

Trajectory Prediction in Dynamic Object Tracking: A Critical Study MOT20: A benchmark for multi object tracking in crowded scenes

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:55.935547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f543736c-604c-4501-845b-1d477d804e65 · inbound

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos cites this paper.

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos MOT20: A benchmark for multi object tracking in crowded scenes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:41.211905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d056222b-f4b1-401b-a141-7a3df1373026 · inbound

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios cites this paper.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios MOT20: A benchmark for multi object tracking in crowded scenes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:50.774169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a298dc06-3b75-457c-a5b6-cc3c1720b2a4 · inbound

RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking cites this paper.

RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:18:02.216704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0451addd-cc52-4228-bb51-7b5494cf2e58 · inbound

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association cites this paper.

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association MOT20: A benchmark for multi object tracking in crowded scenes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:41:38.137214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac126721-9701-4124-a187-95a809c31ceb · inbound

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association cites this paper.

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association MOT20: A benchmark for multi object tracking in crowded scenes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:10.578887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0040d4bd-97a0-43f2-9d53-076c7ad01054 · inbound

Head Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking cites this paper.

Head Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T23:22:52.773756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aabd58a-2663-4c2b-aaaa-3da97da32a78 · inbound

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking cites this paper.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.718350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73fd7f2-c500-46e4-98b8-b8d0ca54f2f4 · inbound

MeMoSORT: Memory-Assisted Filtering and Motion-Adaptive Association Metric for Multi-Person Tracking cites this paper.

MeMoSORT: Memory-Assisted Filtering and Motion-Adaptive Association Metric for Multi-Person Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T20:54:15.967786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a4687f-a759-47c1-8e05-496ca5e96ba3 · inbound

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software cites this paper.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MOT20: A benchmark for multi object tracking in crowded scenes

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:24.526609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1a7084-befe-45fb-8fc9-e8b6cda382dd · inbound

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost cites this paper.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MOT20: A benchmark for multi object tracking in crowded scenes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T12:55:35.836178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02e73ae-4de6-4df9-b371-84985cb87484 · inbound

NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking cites this paper.

NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:01:50.295049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1915425c-0e43-4d30-adbe-a0d6b54375d9 · inbound

Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding cites this paper.

Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding MOT20: A benchmark for multi object tracking in crowded scenes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:52:51.617862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0b9bd8-f6b7-4146-9738-a4f5da2fe885 · inbound

A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments cites this paper.

A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments MOT20: A benchmark for multi object tracking in crowded scenes

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:10:38.549482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35961d89-d3aa-4052-ae41-7d602f0d145d · inbound

SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding cites this paper.

SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding MOT20: A benchmark for multi object tracking in crowded scenes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:11:04.155735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c510ca72-6c42-49e6-ad4d-66d9e912587f · inbound

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback cites this paper.

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback MOT20: A benchmark for multi object tracking in crowded scenes

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:55:37.904178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f949bc42-a3e6-4487-aebc-046f417a075a · inbound

Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment cites this paper.

Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment MOT20: A benchmark for multi object tracking in crowded scenes

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T07:45:28.852981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48fe9b78-7f42-4cc2-8790-2d523cab8c69 · inbound

SatSAM2: Motion-Constrained Video Object Tracking in Satellite Imagery using Promptable SAM2 and Kalman Priors cites this paper.

SatSAM2: Motion-Constrained Video Object Tracking in Satellite Imagery using Promptable SAM2 and Kalman Priors MOT20: A benchmark for multi object tracking in crowded scenes

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:11:34.852478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d88fa1f3-b20c-4bf1-90ae-281804057320 · inbound

Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework cites this paper.

Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework MOT20: A benchmark for multi object tracking in crowded scenes

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T11:28:05.823046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b64445-b4df-4e81-beb0-1922616e3842 · inbound

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding cites this paper.

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding MOT20: A benchmark for multi object tracking in crowded scenes

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T04:21:29.717993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dda19067-8d15-4b60-8e29-2c63d882edc6 · inbound

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods cites this paper.

Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods MOT20: A benchmark for multi object tracking in crowded scenes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T09:48:48.851639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624cd9a6-95fc-4e81-8db0-4f4268d79bc9 · inbound

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm cites this paper.

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm MOT20: A benchmark for multi object tracking in crowded scenes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T19:08:17.594352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 964a53e6-3ad2-4638-a55b-9168a1d30983 · inbound

Hypergraph-State Collaborative Reasoning for Multi-Object Tracking cites this paper.

Hypergraph-State Collaborative Reasoning for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:02.111339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b727d18b-a1f8-40d5-883c-cb443f171a49 · inbound

Attention Is not Everything: Efficient Alternatives for Vision cites this paper.

Attention Is not Everything: Efficient Alternatives for Vision MOT20: A benchmark for multi object tracking in crowded scenes

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:10.433535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45fc9a99-e827-4485-a64d-b8731901c44a · inbound

GateMOT: Q-Gated Attention for Dense Object Tracking cites this paper.

GateMOT: Q-Gated Attention for Dense Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:46:25.061518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eee3df68-5ac6-4347-8eef-7dea75bd47a0 · inbound

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking cites this paper.

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:26:06.226530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b558a603-8823-4381-b28b-42bb8f28389c · inbound

SAMOFT: Robust Multi-Object Tracking via Region and Flow cites this paper.

SAMOFT: Robust Multi-Object Tracking via Region and Flow MOT20: A benchmark for multi object tracking in crowded scenes

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:11:19.003269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70cdd1a4-4ab0-47a3-9093-0b22b7d1299a · inbound

Face versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset cites this paper.

Face versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset MOT20: A benchmark for multi object tracking in crowded scenes

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:30.378912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3cfd8709-4ccd-4893-806d-d31012645932 · inbound

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking cites this paper.

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.812702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 185a72f0-51ac-4f05-9bda-5b7c0f1b6253 · inbound

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking cites this paper.

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T12:41:05.803889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25aab360-0e82-4144-bc65-f499ac0bd305 · inbound

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking cites this paper.

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-15T10:36:21.930108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec17facb-0ecf-4fd3-8aac-e6de29422192 · inbound

PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-Object Tracking cites this paper.

PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:20.981982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6ef136a-56d9-47f5-9a3b-5b0deb0a9d18 · inbound

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps cites this paper.

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps MOT20: A benchmark for multi object tracking in crowded scenes

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-10T02:26:43.123831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ff4a9cd-3a12-4c91-ac00-14c172225c8e · inbound

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps cites this paper.

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps MOT20: A benchmark for multi object tracking in crowded scenes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T07:50:27.541867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d03cc7-291a-4d73-8f77-daebfc77aaf2 · inbound

Higher-Order Cell Tracking Transformer cites this paper.

Higher-Order Cell Tracking Transformer MOT20: A benchmark for multi object tracking in crowded scenes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T03:25:28.859078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba77c81-db88-48ac-a084-fed526459fd0 · inbound

Incremental Optimal Assignment for Real-Time Crowd Tracking cites this paper.

Incremental Optimal Assignment for Real-Time Crowd Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T07:45:11.508329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.