Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:34.375083Z
Paper Citation Record · LEDGER
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports
As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.03335.
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 2026-08-09T06:31:02.800959+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
56 of 56 outbound references displayed
- verified exact1
- verified fuzzy38
- unresolved17
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5f2e0dde-e963-4f19-8bbc-2fcf5bf1e67d · outbound
This paper cites BoT- SORT: Robust Associations Multi-Pedestrian Tracking,.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports BoT- SORT: Robust Associations Multi-Pedestrian Tracking,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:29.572235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f66bb95-5289-4eef-a497-a6348027839d · outbound
This paper cites Evaluating mul- tiple object tracking performance: the clear mot metrics.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Evaluating mul- tiple object tracking performance: the clear mot metrics
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.942507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 13f14c1d-b9a1-497f-9fad-dfe1dfe004a1 · outbound
This paper cites Simple online and realtime tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Simple online and realtime tracking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.931586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea9813fa-50db-4d91-829c-baabd003592c · outbound
This paper cites Mitigating mo- tion blur for robust 3d baseball player pose modeling for pitch analysis.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Mitigating mo- tion blur for robust 3d baseball player pose modeling for pitch analysis
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.921236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 927ccb68-c012-4bcf-a866-fb381114378e · outbound
This paper cites Observation-centric sort: Rethink- ing sort for robust multi-object tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Observation-centric sort: Rethink- ing sort for robust multi-object tracking
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.909475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf5b396a-5e85-4e31-b7c5-8a8cf2a33771 · outbound
This paper cites End-to- end object detection with transformers.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports End-to- end object detection with transformers
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.897724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9058b240-8e4f-4668-95bd-fffa5e3022ba · outbound
This paper cites Mixformer: End-to-end tracking with iterative mixed atten- tion.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Mixformer: End-to-end tracking with iterative mixed atten- tion
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:30.502527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 037b3140-e947-41d5-8c21-05d60459336c · outbound
This paper cites Sportsmot: A large multi- object tracking dataset in multiple sports scenes.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Sportsmot: A large multi- object tracking dataset in multiple sports scenes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.877831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76c2dbb3-aa57-4d4a-974d-71731b9b3853 · outbound
This paper cites Non linear filtering: Interacting particle solution.Markov Processes and Related Fields, 2:555–580,.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Non linear filtering: Interacting particle solution.Markov Processes and Related Fields, 2:555–580,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.865091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fa174c46-263b-4e59-be4c-70cc78d550c7 · outbound
This paper cites Giaotracker: A compre- hensive framework for mcmot with global information and optimizing strategies in visdrone 2021.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Giaotracker: A compre- hensive framework for mcmot with global information and optimizing strategies in visdrone 2021
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.853241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf8166c5-b444-4d20-a398-2d701fbccc40 · outbound
This paper cites Strongsort: Make deep- sort great again.IEEE Transactions on Multimedia, 25: 8725–8737, 2023.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Strongsort: Make deep- sort great again.IEEE Transactions on Multimedia, 25: 8725–8737, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.840453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 797100d6-8ada-4b23-a335-eae12b9a747c · outbound
This paper cites Qdtrack: Quasi-dense similarity learning for appearance-only multi- ple object tracking.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Qdtrack: Quasi-dense similarity learning for appearance-only multi- ple object tracking.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.829759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation efd92873-297f-4ea3-8358-078af442a3d0 · outbound
This paper cites Memotr: Long-term memory-augmented transformer for multi-object tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Memotr: Long-term memory-augmented transformer for multi-object tracking
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.818270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 91538843-17a0-4bc1-8da2-7e03b1987216 · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports YOLOX: Exceeding YOLO Series in 2021
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.249288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 917c6cd8-91fe-49b3-aff8-02360c2a684c · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.808584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f4c5cd5d-420c-42d9-8705-38d5e129a0f8 · outbound
This paper cites Soccernet: A scalable dataset for action spotting in soccer videos.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Soccernet: A scalable dataset for action spotting in soccer videos
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.798897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0668191e-31a8-43f2-9f1d-423611cf840b · outbound
This paper cites Fast r-cnn.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Fast r-cnn
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.507078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f25c5fb-e58d-4c13-97a5-6eba4b0cc11d · outbound
This paper cites Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:10:34.474322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 91027808-f8c3-4f0e-9fb6-ca18d1db77ca · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.664127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2978b813-91f5-4100-acc2-53c14ef57109 · outbound
This paper cites FastReID: A Pytorch Toolbox for General Instance Re-identification.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports FastReID: A Pytorch Toolbox for General Instance Re-identification
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.755692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29abedb8-85c7-4299-9bcf-c97102918bc6 · outbound
This paper cites TrackSSM: A General Motion Predictor by State-Space Model.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports TrackSSM: A General Motion Predictor by State-Space Model
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.852834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17be39f4-4345-45f1-89af-0c84bdb99abf · outbound
This paper cites MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:31.952166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaf712f5-3888-4af7-8c11-4a09354afa06 · outbound
This paper cites Exploring Learning- based Motion Models in Multi-Object Tracking, 2024.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Exploring Learning- based Motion Models in Multi-Object Tracking, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.782352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 74cf0e72-766f-40a1-ba2a-30c375c2dc9d · outbound
This paper cites Iterative scale-up expansioniou and deep features association for multi-object tracking in sports.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Iterative scale-up expansioniou and deep features association for multi-object tracking in sports
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.772307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 213eed62-de9f-408e-bbea-60cbf955421a · outbound
This paper cites an unresolved cited work.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:32.187981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f66bb484-19a2-46dc-a00f-45fb896a4d38 · outbound
This paper cites an unresolved cited work.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:32.271339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67cde88f-f129-413e-9fb5-67a8044f3fe7 · outbound
This paper cites Hota: A higher order metric for evaluating multi-object tracking.International journal of computer vision, 129:548– 578, 2021.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Hota: A higher order metric for evaluating multi-object tracking.International journal of computer vision, 129:548– 578, 2021
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.749227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7170d98e-f0d7-4e06-a6db-5bd314aeb930 · outbound
This paper cites Diffusiontrack: Diffusion model for multi-object tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Diffusiontrack: Diffusion model for multi-object tracking
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.739655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ade1e11f-22a5-4a6e-8054-00c2bcb4de38 · outbound
This paper cites Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.729094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 16846368-8340-4c8a-80b2-d943e28e8dcf · outbound
This paper cites Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.717706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dec717e2-fb91-4e51-8aa0-bada7e766c3e · outbound
This paper cites Trackformer: Multi-object track- ing with transformers.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Trackformer: Multi-object track- ing with transformers
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.708278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f82fac57-4560-4f7a-9e9c-a2133e4d31fd · outbound
This paper cites Vip-htd: A public benchmark for multi-player tracking in ice hockey.Journal of Computa- tional Vision and Imaging Systems, 9(1):22–25, 2023.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Vip-htd: A public benchmark for multi-player tracking in ice hockey.Journal of Computa- tional Vision and Imaging Systems, 9(1):22–25, 2023
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.697496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d51f9f63-f914-48aa-8d37-ab7ff62ff446 · outbound
This paper cites Faster R-CNN: Towards real-time object detection with re- gion proposal networks.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Faster R-CNN: Towards real-time object detection with re- gion proposal networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.686882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00de1249-194b-4644-a763-df6950ee9f65 · outbound
This paper cites Performance measures and a data set for multi-target, multi-camera tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Performance measures and a data set for multi-target, multi-camera tracking
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.676909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e202a235-449e-4ce2-8546-f0d558453513 · outbound
This paper cites Probabilistic track- let scoring and inpainting for multiple object tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Probabilistic track- let scoring and inpainting for multiple object tracking
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.666817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6a6b97c-de71-49e1-8cd7-3befca156900 · outbound
This paper cites TransTrack: Multiple Object Tracking with Transformer,.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports TransTrack: Multiple Object Tracking with Transformer,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.656814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b8c82e1e-36e0-4c3c-9971-572d9e7a142b · outbound
This paper cites Dancetrack: Multi-object track- ing in uniform appearance and diverse motion.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Dancetrack: Multi-object track- ing in uniform appearance and diverse motion
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.646074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 734ef1b7-6743-47d6-9e11-dd1a886e1896 · outbound
This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Attention is all you need.Advances in Neural Information Processing Systems, 2017
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:33.257688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b92dec16-9874-4d8f-81d8-eed297884943 · outbound
This paper cites Clausi, and John S.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Clausi, and John S
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.628290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b08db01f-512f-426c-96dc-47e57ebe1a76 · outbound
This paper cites Player tracking and identification in ice hockey.Expert systems with applications, 213:119250,.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Player tracking and identification in ice hockey.Expert systems with applications, 213:119250,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.617987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 112820a6-1af5-4b86-abbb-b46d0facda22 · outbound
This paper cites RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:33.477637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dc073d5-0884-46c4-ba27-8aee0bf33053 · outbound
This paper cites Simple online and realtime tracking with a deep association metric.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Simple online and realtime tracking with a deep association metric
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.607997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fc8032e5-0ccf-40da-87df-dca5c8ad79b5 · outbound
This paper cites Mambatrack: a simple baseline for multiple object tracking with state space model.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Mambatrack: a simple baseline for multiple object tracking with state space model
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:33.939440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fda50ce8-74b3-4dad-8baf-dfd1d4a24249 · outbound
This paper cites Motiontrack: Learning motion predictor for multiple object tracking.Neu- ral Networks, 179:106539, 2024.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Motiontrack: Learning motion predictor for multiple object tracking.Neu- ral Networks, 179:106539, 2024
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.591611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 258f3087-8608-49e2-aa7a-eba7e65ce4ec · outbound
This paper cites Robust Tracking via Mamba-based Context-aware Token Learning.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Robust Tracking via Mamba-based Context-aware Token Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:34.189849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ba405c7-866b-435f-be02-093db32ba665 · outbound
This paper cites Hard to track objects with irregular motions and sim- ilar appearances? make it easier by buffering the matching space.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Hard to track objects with irregular motions and sim- ilar appearances? make it easier by buffering the matching space
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.581725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 194d5a59-1366-4382-9012-0e00f05e7c52 · outbound
This paper cites MOTRv3: Release-fetch supervi- sion for end-to-end multi-object tracking, 2024.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports MOTRv3: Release-fetch supervi- sion for end-to-end multi-object tracking, 2024
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.571792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 862f5f7c-b66d-41bf-bb9d-7d99351926d5 · outbound
This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:34.342648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee51022c-3709-492b-9941-0a8c85394d32 · outbound
This paper cites Motr: End-to-end multiple- object tracking with transformer.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Motr: End-to-end multiple- object tracking with transformer
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.555448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1bccf13b-ad09-4326-a5a2-dcc85b218ec8 · outbound
This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking.International journal of computer vision, 129:3069–3087, 2021.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Fairmot: On the fairness of detection and re-identification in multiple object tracking.International journal of computer vision, 129:3069–3087, 2021
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.543575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3118bba7-a6e5-4ffd-b4a7-7b8e5d4660e2 · outbound
This paper cites Bytetrack: Multi-object tracking by associating every detection box.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Bytetrack: Multi-object tracking by associating every detection box
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.532897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 47c93818-5c73-4268-b3c3-3ee87baf558a · outbound
This paper cites Learning generalisable omni-scale representations for person re-identification.TPAMI, 2021.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Learning generalisable omni-scale representations for person re-identification.TPAMI, 2021
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.523515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8a72f94a-d790-48bc-8195-7d77fc4192d0 · outbound
This paper cites Objects as Points.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Objects as Points
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:34.369309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 222e1634-331c-4ce2-bef8-d1b71e97d92c · outbound
This paper cites Tracking objects as points.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Tracking objects as points
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.513509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ceb2fbcb-e59a-4153-b554-9138e66ef532 · outbound
This paper cites Global tracking transformers.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports Global tracking transformers
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:10:34.504352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4ab942ae-f5fb-49bc-9ea4-9e517eb921c6 · outbound
This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:29.685314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.