Paper Citation Record · LEDGER

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking

As of 24 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2505.07254.

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

pith.paper-citation-record.v1
2505.07254 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:26:09.053110Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T10:36:21.930108Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T10:39:45.801984Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75bed43f-a0d5-4695-b084-57cbed15fde4 · outbound

This paper cites Robmot: Robust 3d multi-object tracking by observational noise and state estimation drift mitigation on lidar pointcloud, 2024.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Robmot: Robust 3d multi-object tracking by observational noise and state estimation drift mitigation on lidar pointcloud, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.409432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dae18baa-7e28-44cf-99b9-6aa13005a804 · outbound

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

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:08.952146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b20577-3f78-4977-82a2-7a9044a3e268 · outbound

This paper cites A maneuvering target tracking algorithm based on the interacting multiple models.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking A maneuvering target tracking algorithm based on the interacting multiple models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.389424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8f7e1ee-0eed-4c0f-ba23-2253d03742df · outbound

This paper cites Adaptive target tracking with interacting heterogeneous motion models.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Adaptive target tracking with interacting heterogeneous motion models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.378535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee3e99c9-4672-40ed-8ce7-2889972b172a · outbound

This paper cites Dfr-fastmot: Detection failure resistant tracker for fast multi-object tracking based on sensor fusion.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Dfr-fastmot: Detection failure resistant tracker for fast multi-object tracking based on sensor fusion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.368175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84aa6248-6927-4167-8c15-9cfc06ca3b00 · outbound

This paper cites 3d multi-object tracking in point clouds based on prediction confidence-guided data association.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking 3d multi-object tracking in point clouds based on prediction confidence-guided data association

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.356522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29f764f1-9863-43e4-abc4-ad64598c773d · outbound

This paper cites Msa-mot: Multi-stage association for 3d multimodality multi-object tracking.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Msa-mot: Multi-stage association for 3d multimodality multi-object tracking

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.345085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2170f47-dd5d-4e9f-b870-a7e74df1fd7e · outbound

This paper cites 3d multi-object tracking based on informatic divergence-guided data association.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking 3d multi-object tracking based on informatic divergence-guided data association

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.332022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9acbcb9a-cb4a-4051-a5d6-f7408cc85ca7 · outbound

This paper cites Monocular 3d multi-object tracking with an ekf approach for long- term stable tracks.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Monocular 3d multi-object tracking with an ekf approach for long- term stable tracks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.318367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f37b223e-63cf-4897-9c9e-78edc54c99f8 · outbound

This paper cites Towards robust reference system for autonomous driving: Rethinking 3d mot.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Towards robust reference system for autonomous driving: Rethinking 3d mot

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.306532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87d698ce-c8e1-4a1e-b9c7-c77506db0ba7 · outbound

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

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking 3d multi-object tracking: A baseline and new evaluation metrics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.294399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bcb51e6-ec9b-46a7-ac3a-d7117f76443b · outbound

This paper cites Immortal Tracker: Tracklet Never Dies.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Immortal Tracker: Tracklet Never Dies

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:08.992946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04eeab77-f389-4dbb-a54b-336d452c9169 · outbound

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

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Simpletrack: Understanding and rethinking 3d multi-object tracking

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.282070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8423f3cd-667d-4a32-b438-20dee82bfc09 · outbound

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

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Eagermot: 3d multi-object tracking via sensor fusion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.270147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d2b241d-f4b2-4879-a492-b9ec2dc4bba4 · outbound

This paper cites Mono- camera 3d multi-object tracking using deep learning detections and pmbm filtering.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Mono- camera 3d multi-object tracking using deep learning detections and pmbm filtering

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.257632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9894ac4-a1c5-4b20-b7a5-e167115ce63e · outbound

This paper cites Sensor- agnostic graph-aware kalman filter for multi-modal multi-object tracking.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Sensor- agnostic graph-aware kalman filter for multi-modal multi-object tracking

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.246279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba03b548-29aa-41f5-a865-a6e61d6d5553 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Scalability in perception for autonomous driving: Waymo open dataset

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.235005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14aea6c9-5c74-4674-9a9a-936132b0d908 · outbound

This paper cites Triplettrack: 3d object tracking using triplet embeddings and lstm.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Triplettrack: 3d object tracking using triplet embeddings and lstm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.222135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 537fed8a-1bef-47cd-916b-d07cf6f4c4d8 · outbound

This paper cites an unresolved cited work.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:26:09.208935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe163c82-c129-4d14-9a29-908acae25615 · outbound

This paper cites Deepfusionmot: A 3d multi-object track- ing framework based on camera-lidar fusion with deep association.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Deepfusionmot: A 3d multi-object track- ing framework based on camera-lidar fusion with deep association

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.196392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 990907cd-faa8-4587-81d8-23f9e82466cf · outbound

This paper cites 3d multi-object tracking in point clouds based on prediction confidence-guided data association.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking 3d multi-object tracking in point clouds based on prediction confidence-guided data association

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.184590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 549f040b-72bc-4377-824e-0928a3a9dad3 · outbound

This paper cites an unresolved cited work.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:26:09.172764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73264a9b-62cc-44a8-b33d-adb510e6847b · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.159992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0f7b251-2301-40fc-9e86-90fd931cf523 · outbound

This paper cites Pointrcnn: 3d object proposal generation and detection from point cloud.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Pointrcnn: 3d object proposal generation and detection from point cloud

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:09.037539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 062a9295-c9fa-42b1-9c07-87d017aa46e2 · outbound

This paper cites Second: Sparsely embedded convolutional detection.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Second: Sparsely embedded convolutional detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:09.041405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11865481-0b33-4fd6-9b11-4186a0466109 · outbound

This paper cites Virtual sparse convolution for multimodal 3d object detection.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Virtual sparse convolution for multimodal 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.131283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7527e46-b544-49b0-bcbd-bb7a960f8eee · outbound

This paper cites Casa: A cascade attention network for 3-d object detection from lidar point clouds.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Casa: A cascade attention network for 3-d object detection from lidar point clouds

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.117843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4d329b4-8f50-42dd-a825-549549fa2f50 · outbound

This paper cites Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection.

Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:26:09.104132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation bfb1e6b3-1098-4404-8b4b-6c8497d63fb0 · inbound

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

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:39:45.803590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b463fbd-32bb-4214-a762-b2f5638f8603 · inbound

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

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking

Reference 35

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 a03ee593-5fa2-4071-9786-d7b99281c10d · inbound

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

Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking

Reference 35

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.