Paper Citation Record · LEDGER

MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.16149.

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

pith.paper-citation-record.v1
2409.16149 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:25:23.698705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:45:27.592455Z

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 ba4645ba-2ca3-4e6e-a5e5-660dc20250a4 · inbound

UrbanGS: Semantic-Guided Gaussian Splatting for Urban Scene Reconstruction cites this paper.

UrbanGS: Semantic-Guided Gaussian Splatting for Urban Scene Reconstruction MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T22:25:23.698705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3fbef0-81c2-42b1-aaf0-0fa73f248a7d · inbound

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking cites this paper.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:12.123270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 5df415f3-4dc1-472b-a13e-c5762f34aec9 · inbound

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

Radar-Informed 3D Multi-Object Tracking under Adverse Conditions MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:27.595121Z

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.