Paper Citation Record · LEDGER

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.09672.

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

pith.paper-citation-record.v1
2502.09672 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:26:44.426931Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:44:11.556912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:45:27.645512Z

Reference resolution

26 of 26 outbound references displayed

verified exact3
verified fuzzy18
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5b342d0-95f0-4356-87ea-1979ed9d43d1 · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.823655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3627082-cab5-410b-b78e-3f97377a78da · outbound

This paper cites RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T23:26:44.343668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7773b7e-8684-4adc-8351-dcd99bcee51e · outbound

This paper cites Fast-poly: A fast polyhedral algorithm for 3d multi-object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Fast-poly: A fast polyhedral algorithm for 3d multi-object tracking,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.813777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b8a694b-c7af-409e-830a-2e5887882792 · outbound

This paper cites Joint multi-object detection and tracking with camera-lidar fusion for autonomous driving,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Joint multi-object detection and tracking with camera-lidar fusion for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.803671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b44b7ec6-06f4-4a9e-92d0-9fe2e42bf21b · outbound

This paper cites Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:26:44.613841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1733fad8-8fe4-4b1c-ba20-4584517eace4 · outbound

This paper cites MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T23:26:44.358695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9448ac70-8b4d-49a2-8765-c91e315edd3e · outbound

This paper cites Boosttrack++: using tracklet informa- tion to detect more objects in multiple object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Boosttrack++: using tracklet informa- tion to detect more objects in multiple object tracking,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T23:26:44.362585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a20c47d-49f9-4b4a-9cd9-775aa7b65656 · outbound

This paper cites ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.793060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3dd6c498-23d2-4571-a7d7-a7011a01545e · outbound

This paper cites Enhanced kalman with adaptive appearance motion sort for grounded generic multiple object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Enhanced kalman with adaptive appearance motion sort for grounded generic multiple object tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.782506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4aa2f84f-ce6d-4725-96d5-c7ae50b56050 · outbound

This paper cites PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:26:44.476737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 89e6c6ef-597b-457e-9dc6-6d0386d7ceb7 · outbound

This paper cites Poly-mot: A polyhedral framework for 3d multi-object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Poly-mot: A polyhedral framework for 3d multi-object tracking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.772173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 517d6285-51c7-4bf0-b39d-a31f6660a4ac · outbound

This paper cites Eagermot: 3d multi-object tracking via sensor fusion,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Eagermot: 3d multi-object tracking via sensor fusion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.761352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a45eca8b-2cf2-4abf-b5fc-f53e0ada9d1e · outbound

This paper cites Score refinement for confidence-based 3D multi-object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Score refinement for confidence-based 3D multi-object tracking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.751018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9521d910-fea8-43f3-a8ac-1096ef94a9f0 · outbound

This paper cites Largekernel3d: Scaling up kernels in 3d sparse cnns,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Largekernel3d: Scaling up kernels in 3d sparse cnns,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.740909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6575080e-7113-4c98-b63a-a37470936fc4 · outbound

This paper cites Center-based 3d object detec- tion and tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Center-based 3d object detec- tion and tracking,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:26:44.390417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076fb3ba-48b1-4dc1-9929-54508e0a5ca0 · outbound

This paper cites Poly-pc: A polyhedral network for multiple point cloud tasks at once,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Poly-pc: A polyhedral network for multiple point cloud tasks at once,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.725381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a3acaab-060f-485a-9526-b6c57bd767e1 · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Simple online and realtime tracking with a deep association metric,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.715136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ade54ef7-7c69-43cc-abd8-96e3985f6a49 · outbound

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

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Bytetrack: Multi-object tracking by associating every detection box,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.705012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88569444-c2b4-4f76-bed3-d6129ffe3f31 · outbound

This paper cites Simpletrack: Understanding and rethinking 3d multi-object tracking,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Simpletrack: Understanding and rethinking 3d multi-object tracking,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T23:26:44.403574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07dab6f8-f935-4354-a8f6-14d9fee61b48 · outbound

This paper cites Soft-NMS – Improving Object Detection With One Line of Code,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Soft-NMS – Improving Object Detection With One Line of Code,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.688534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc30aa4e-5672-49d0-8ef6-575e9a9a950b · outbound

This paper cites Adaptive NMS: Refining Pedestrian Detection in a Crowd,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Adaptive NMS: Refining Pedestrian Detection in a Crowd,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.676176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d784039-7bc1-43e2-8386-d215dc4f58de · outbound

This paper cites SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter SWTrack: Multiple Hypothesis Sliding Window 3D Multi-Object Tracking

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:26:44.461537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4e88ab3-4e70-4218-a285-2870cc99e8ac · outbound

This paper cites Error performance analysis of imm-kalman filter for maneuvering target tracking application,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Error performance analysis of imm-kalman filter for maneuvering target tracking application,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.665112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f056801-2b87-486e-890b-a09ad40473b8 · outbound

This paper cites Performance prediction of the interacting multiple model algorithm,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Performance prediction of the interacting multiple model algorithm,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.654637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f964fe7-e17f-4e74-aff7-add8e8b1cd2c · outbound

This paper cites Learnable Online Graph Representations for 3D Multi-Object Track- ing,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter Learnable Online Graph Representations for 3D Multi-Object Track- ing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.644656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 575c11e1-0abc-4da1-9093-36f3b35ffeae · outbound

This paper cites nuScenes: A Multimodal Dataset for Autonomous Driving,.

IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter nuScenes: A Multimodal Dataset for Autonomous Driving,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:26:44.634038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 05df2de0-3629-411a-ac59-4eb749af9982 · inbound

Radar-Informed 3D Multi-Object Tracking under Adverse Conditions cites this paper.

Radar-Informed 3D Multi-Object Tracking under Adverse Conditions IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:27.648064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.